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An investigation of performing the protein-retention expansion
microscopy protocol on
neuronal cells
ELIZA LINDQVIST
Department of Applied Physics
KTH Royal Institute of Technology
Supervisor: Hans Blom Examiner: Erik Lindahl
Master’s Thesis Stockholm, Sweden 2018
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TRITA-SCI-GRU 2018:317
Department of Applied Physics School of Engineering Sciences
Royal Institute of Technology Stockholm SWEDEN
Examensarbete som med tillstånd av Kungliga Tekniska Högskolan
främlägges till offentlig granskning för avläggande av
Civilingenjörsexamen i Teknisk Fysik 4 augusti 2018 i Seminarierum
Becquerel på SciLifeLab, Tomtebodavägen 23, Solna. © Eliza
Lindqvist, 4 augusti 2018
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Abstract Expansion microscopy (ExM) enables imaging of preserved
cellular or tissue specimens with nanoscale resolution on
diffraction-limited instead of super-resolution microscopes. On
broad terms ExM works by physically enlarging the specimen, after
having labeled it with fluorescent probes anchored to a swellable
gel. In this Master Thesis work I present an investigation of the
protein retention Expansion Microscopy (proExM) protocol for
expansion of cultured neuronal cells. The expansion of neurological
networks enables for example the ability to pinpoint small
topological protein changes inside the brain, which could take
affect during the development of diseases like Alzheimer’s,
epilepsy and Parkinson’s disease. To evaluate the protein retention
protocol I stained neuronal cells with different antibodies and I
compared images of samples imaged with confocal, STED and Expansion
Microscopy. I quantified the expansion factor in neurons by
measuring of the distance between fixed architectural Spectrin
rings. To evaluate retained protein content I varied the digestion
times and anchoring treatments to study how different treatments
affected the imaged intensity. Here, I show that samples anchored
with Acryloyl X – SE lose a significant amount of protein with
increased enzymatic digestion times. Furthermore, I show that
samples anchored with Acryloyl X – SE are further affected by the
digestion times as the fluorescently labelled sample lose imaged
intensity over time. This is in sharp contrast to expanded samples
anchored with MA-NHS which shows no imaged intensity decrease with
longer enzymatic digestion times.
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Preface
This is a Master’s Thesis in Engineering Physics at the
Department of Cellular physics, Royal Institute of Technology
(KTH), Stockholm, Sweden. The presented laboratory work was
performed at Science for Life Laboratory in the Cellular Biophysics
group belonging to the Department of Applied Physics, Solna,
Sweden.
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Acknowledgments I want to thank everyone who has helped me
throughout this master’s thesis. Extra gratitude goes to my
supervisor Hans Blom and examiner Erik Lindahl, for initial project
idea, guidance and support. Furthermore, I would like to give my
sincere gratitude to group members Steven Edwards and David
Unnersjö-Jess, you have been the best and supported me
tremendously, I cannot thank you enough. Huge thanks go also to
Daniel Jans for general help and custom microscopy setup and
William Björnstjerna for illustrating figures used in this
report.
Eliza Lindqvist
2018-06-10 Stockholm, Sweden
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CONTENTS
LIST OF FIGURES
..................................................................................................................
1
1. INTRODUCTION
.............................................................................................................
4
2. BACKGROUND AND THEORY
.....................................................................................
6
FLUORESCENCE
........................................................................................................................
6 CONFOCAL
MICROSCOPY..........................................................................................................
7 SUPER-RESOLUTION IMAGING
...................................................................................................
8 EXPANSION MICROSCOPY
.......................................................................................................
10 PROCEDURE
...........................................................................................................................
10 VARIANTS OF EXM
................................................................................................................
13 APPLICATION OF EXM TO NEUROSCIENCE
...............................................................................
15
3. EXPERIMENTAL WORK
.............................................................................................
17
PROEXM PROTOCOL
...............................................................................................................
17 SAMPLE PREPARATION TECHNIQUES
........................................................................................
18 IMAGING
................................................................................................................................
20 DATA ANALYSIS AND
REPRESENTATIONS.................................................................................
20
4. RESULTS
........................................................................................................................
22
STAINING
...............................................................................................................................
22 COMPARISON BETWEEN CONFOCAL, STED AND EXPANSION MICROSCOPY
.............................. 24 RESOLVING THE PERIODIC EXPRESSION
OF SPECTRIN
............................................................... 26
VARIATION OF THE DIGESTION TIME
........................................................................................
27 A COMPARISON BETWEEN ACRYLOYL X -SE AND MA-NHS
.................................................... 30
5. DISCUSSION
..................................................................................................................
33
6. SUPPLEMENTARY
.......................................................................................................
35
7. APPENDICES
.................................................................................................................
37
MATLAB SCRIPT
..................................................................................................................
37
8. REFERENCES
................................................................................................................
38
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LIST OF FIGURES Figure 1. Jablonski diagram. A Jabionski diagram
demonstrating the electron transition states of the fluorophore
during absorption/emission processes. (A) The energy of an incoming
photon (green) is absorbed by the fluorophore molecule and the
fluorophore reaches the excited state. (B) Some of the energy is
dissipated as heat or other processes. (C) The fluorophore returns
to the ground state and a photon of lower energy and longer
wavelength is emitted (red). .................... 6 Figure 2.
Confocal microscope principle. Simple illustration of the principal
light pathways in a confocal microscopy. Light emitted by the laser
passes through a pinhole aperture, is reflected by a dichromatic
mirror and scanned across the specimen in a defined focal plane.
Light emitted from the specimen (fluorescence) emanating from the
focal plane passes back through the dichromatic mirror and is
focused as a confocal point at the detector pinhole aperture.
................ 7 Figure 3. Confocal versus STED imaging.
Non-expanded neurons treated with Spectrin. (LEFT) Confocal image.
(RIGHT) STED image.
......................................................................
9 Figure 4. Schematic of polyelectrolyte network. (A) Schematic of
a collapsed polyelectrolyte network, showing crosslinker (dot) and
polymer chain (line). (B) Expanded network after H2O dialysis.
.....................................................................................................................................
12 Figure 5. Schematic of microtubules and polymer network. First,
the specimen is fixed and treated with compounds that bind to the
biomolecules called anchoring treatment. Next, a hydrogel of
densely crosslinked monomers is polymerized throughout the
cells/tissue called gelation. Then, the specimen-hydrogel composite
is digested and then the specimen is finally ready for the
expansion by dialysis in water. (A) Schematic of microtubules
(green) and polymer network (blue). (B) A label that can be
anchored to the gel at site of a biomolecule, is hybridized to the
oligo-bearing secondary antibody top bound via the primary to
microtubules (green lines) and is incorporated into the gel (blue
lines) via the methacryloyl group (red dot). ......................
12 Figure 6. Membrane expansion and ExFISH. (LEFT) Maximum
intensity projection of confocal microscopy stack following
expansion of membrane labeled Brainbow3.0 neurons [2]. (RIGHT)
ExFISH image with delivered probes against six RNA targets in a
cultured HeLa cell, Scale bar 20 µm [9].
..................................................................................................................
13 Figure 7. The box used for staining.
.......................................................................................
19 Figure 8. Gel chamber
schematic............................................................................................
19 Figure 9. A petri dish with a lid. A petri dish with an added
lid was used as image sample holder for the gel. The added screws
on top were applied as weight to prevent the gel sample from
drifting while imaging.
......................................................................................................
20 Figure 10. proExM imaging of antibodies of interest. Confocal
images of expanded neuronal cells stained with (A) Alpha tubulin.
(B) Spectrin. (C) Synaptotagmin. (D) Pan Neuronal marker.
..................................................................................................................................................
23 Figure 11. Comparison between confocal, STED and confocal
expansion microscopy. We compared images acquired via confocal
microscopy versus images acquired via STED microscopy and
post-expansion confocal microscopy. All samples are stained with
Spectrin. (A)
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Non-expanded sample imaged with a confocal microscope. (B)
Non-expanded sample imaged with a STED microscope. (C) Expanded
sample imaged with a confocal microscope. ............... 25 Figure
13. Periodic expression of Spectrin in neurons. (A) A intensity
plot of the marked area in (C). (B) Image of expanded neurons
stained with Spectrin. (C) A zoomed-in area of (B) were the area of
interest is marked in yellow.
.....................................................................................
26 Figure 14. Neurons with different digestion times. Neurons
treated with Spectrin, Goat anti-Mouse (Atto) 594 and Acryloyl X
-SE and imaged with a confocal microscope. (A) Digestion time: 15
min. (B) Digestion time: 1 hour. (C) Digestion time: 2 hours. (D)
Digestion time: 4 hours.
........................................................................................................................................
28 Figure 15. Intensity drop off with digestion time. Expanded
neuronal cells stained with Spectrin, digested for different times
and imaged with a confocal microscope. (A) Profile of intensity
taken at different time points. (B) Confocal image of neuronal
cells not digested with proteinase K. (C) Confocal image of
neuronal cells digested with proteinase K for 24 hours. .... 29
Figure 16. Comparison between anchoring treatment with MA-NHS and
Acryloyl X-SE. Non-expanded neurons stained with Pan Neuronal,
anchored with either MA-NHS or Acryloyl X -SE and imaged with a
confocal microscope. (A, B, C and D) Neurons anchored with MA-NHS
and digested for (A) 0 minutes, (B) 2 hours, (C), 4 hours and (D)
24 hours. (E, F, G and H) Neurons anchored with Acryloyl X-SE and
digested for (E) 0 minutes, (F) 2 hours, (G), 4 hours and (H) 24
hours. (I) Graph showing the image intensity over different
digestion times in neurons anchored with MA-NHS. (J) Graph showing
the average image intensity over different digestion times in
neurons anchored with Acryloyl X-SE.
........................................................................
31 Figure 17. Comparison between anchoring treatment with MA-NHS
and Acryloyl X -SE. Expanded neuronal cells stained with
anti-Pan-Neuronal marker, imaged with a confocal microscope and
anchored with (A) MA-NHS or (B) Acryloyl X-SE. The asterisk in
panel B indicates a neuronal structure which has not expanded
uniformly, leaving an apparent break in an otherwise continuous
axon or dendrite.
......................................................................................
32 Figure S 20. Schematic of refractive image formation (magnified,
real and inverted image), of an object placed at distance a
in-front of a thin lens having focal length f. The imaged is formed
at distance b and the magnification is given as M=b/a
..................................................................
35 Figure S 21. An AIRY disc diffraction pattern of a point source.
The point source is here the object and it will be imaged by the
optical system as a wiggly pattern with a main central peak and
neighboring smaller ringing, because of the wave nature of light
(in other words diffraction is scattering and inference of light
waves).
....................................................................................
35 Figure S 22. Schematic of focal spot dimension of a fluorescent
microscope. The excitation wavelength is used to excite fluorescent
molecules pictured as small orange discs: However, none of the
fluorescent molecules (point sources) will be resolved, as their
distance is below the Abbe limit. They will instead all be merged
into a single focal blob of width ~200 nm and height of 3-4 times
this value in the very best diffraction-limited case.
........................................................... 36
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1. INTRODUCTION In traditional light microscopy, fine structures
are resolved by using refraction to magnify a samples topological
structure. Magnification allows to for example visualizing a whole
plant or animal cell with light microscopy. However, zooming-in
indefinitely on optical microscopes is however not possible, as
finally light magnification will be ultimately hampered and limited
by diffraction. Diffraction comprises the spreading of light waves
when interacting with structures within a sample. This incidence
limits the ability to differentiate two objects separated by a
lateral distance shorter than about half of the wavelength used to
image the specimen, even when this is just a very small point. A
point source diffraction pattern is referred to as an Airy disk
(see Fig.S2), and the size of the disk is determined by the
wavelength of the light and the aperture collection angle of the
microscope objective used to image the object. In terms of
resolution, the radius of the of the Airy disk in the lateral image
plane is defined by the formula:
AbbeResolution-,/ = λ 2NA⁄ (Eq. 1)
where λ is illumination wavelength and the numerical aperture
(NA) is the refractive index of the imaging medium multiplied by
the sine of the aperture angle (i.e. NA = n sina). Consequently,
minimizing λ and maximizing NA there is thus a technical lower
limit below which the microscopes’ optical system cannot resolve
structural details, i.e. separate two neighboring points in space
[1].
However, several techniques have been developed in the past
decade to circumvent the diffraction limit, and these techniques
have collectively been called super-resolution microscopy (SRM).
Today’s most used super-resolution techniques is Structured
Illumination Microscopy (SIM), Stimulated Emission Depletion
(STED), Stochastic Reconstruction Microscopy (STORM),
Photo-activated Localization Microscopy (PALM) and Point
Accumulation for Imaging of Nanoscale Topography (PAINT) [2] [3].
These recent techniques are focusing on increasing the resolution
of the microscope by separating individual, or groups of
fluorescent molecules in space and time. This spatiotemporal
separation allows distinguishing neighboring entities and imaging
them separately, even though they are distanced less than the Airy
and Abbe diffraction limit. Yet, there are remaining complications
for these SRM methods in the sense of complex hardware, high costs
and need of microscopy experts for use. For such reasons, SRM
imaging methods have presently not efficiently been put to use
within clinical practice and they are very rarely applied to
clinical samples [4]. In addition, they are limited by imaging
speed and in accessible imaged volumes. Another simpler way of
receiving super-resolution imaging has thus in parallel been
developed in the last years.
Expansion microscopy (ExM) is a relatively new developed method,
were instead of further attempting to super-resolve optically, you
physically expand the sample with the help of a swellable polymer.
The polymer is superabsorbent and by adding water it can expand
isotopically around 4-5 in size, thus pulling the positions of
labelled biomolecules apart. Due to the induced larger
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separation between positions of investigated molecules, 3-D
nanoscale resolution on low-cost diffraction-limited microscopes is
made possible [5]. Expanding for example, a mouse brain, this
method has enabled researches to see several tiny sub-cellular
building blocks and biomolecules inside the brain and its neuronal
cells. The resolved information has allowed researchers to better
figure out how the brain and brain cells are organized in three
dimensions. This gained knowledge has yielded a deeper
understanding of the brain and how action, sensation and emotional
networks and circuity might be topological wired. Expansion
microscopy, through its sample induced super-resolving power, can
thus also enable the ability to pinpoint small topological changes
inside the brain which could increase our knowledge on the
development of diseases like Alzheimer’s, epilepsy and Parkinson’s
disease.
In this thesis, the focus was put on optimizing a protocol
called protein retention ExM (proExM) used for Expansion Microscopy
on neuronal cells. In the proExM protocol, proteins are anchored to
the swellable gel allowing the subsequent use of conventional
fluorescently labeled antibodies or anchoring of fluorescent
proteins, to topologically investigate protein specimen structures.
Numerous unsolved research questions within the neuroscience field
center around the knowledge and understanding of how molecules and
wiring in neuronal circuits produces behavioral functions and
neurodegenerative diseases. In this thesis I stained neuronal cells
with different antibodies and I structurally compared images of
samples imaged with confocal, STED and Expansion Microscopy. I
quantified the expansion factor by measuring of the distance
between Spectrin rings, and I varied the digestion times and
anchoring treatments to study how these sample treatments affected
the imaged intensity.
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2. BACKGROUND AND THEORY In this section, the background of
present imaging options is presented along with the explanations of
the expansion microscopy methods and previously work done within
this field of research.
Fluorescence Fluorescence is a process where absorbed energy of
a fluorophore molecule is emitted via electromagnetic radiation. A
fluorophore is a molecule that is able to efficiently release this
extra absorbed energy as light waves (photons). Normally, a
fluorophore is in its relaxed state, also called the ground state,
in which the molecule is stable and carrying low energy levels (see
fig. 1). When light with high enough energy is transmitted onto the
fluorophore, the energy from the so-called excitation light can be
instantly absorbed by the fluorophore, such that the fluorophore
reaches a higher energy state, also called the excited state [6].
However, after excitation fluorophores can after internal fast
rotational and vibrational movements fall back to their relaxed
ground state. During this relaxation process, a fluorophore can
emit part of the absorbed excess energy in form of a lower energy
photon; meaning that the color (i.e. wavelength) of the light
transmitted onto and used to excite fluorophore with is different
from the color of the light emitted. The difference in
absorption/excitation wavelength and emission/fluorescence
wavelength is beneficially used in fluorescence microscopy by
filtering out on the emission signal from fluorophores labeling
cells or tissue. Fluorophores can be anchored to specific parts of
a biological sample and let the observer see desired fragments of
the specimen. Fluorescent proteins, labelled peptides and
antibodies enable the fluorescent visualization of structures and
processes on the sub-cellular level [7].
Figure 1. Jablonski diagram. A Jablonski diagram demonstrating
the electron transition states of the fluorophore during
absorption/emission processes. (A) The energy of an incoming photon
(green) is absorbed by the fluorophore molecule and the fluorophore
reaches the excited state. (B) Some of the energy is dissipated as
heat or other processes. (C) The fluorophore returns to the ground
state and a photon of lower energy and longer wavelength is emitted
(red).
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Confocal Microscopy A confocal microscope uses fluorescence as
signal to generate images with high resolution by optically imaging
only a very small focal volume. The microscope is designed with an
aperture placed in the optical pathway in front of the detector,
were the aperture (called a pinhole) is at the same position as the
microscope focus of the collected sample image (see fig. 2).
Schematically, radiation from a laser system travels through a
light-shaping pinhole aperture and is then reflected by a
dichromatic mirror to excite the labelled specimen. The light that
is emitted from the specimen (the fluorescence) will go back
through lens and mirror system and finally hit a detector, in-front
of which a second pinhole is placed [8]. By modifying the aperture
size to match the size of the optical resolution of the objective
(see Eq.1), the pinhole will block out light outside the focal
plane of the objective lens and optical sectioning is made
possible. Thus, emitted or scattered light that is out of focus is
removed, leaving an image with highest resolution possible and a
very good signal to background ratio can be achieved. This optical
confocal technology offers several advantages over conventional
wide-field optical microscopy since one are able to optically
control the imaged depth of field, and one can eliminate background
information, as well collect serial optical sections from thick
specimens [9].
Figure 2. Confocal microscope principle. Simple illustration of
the principal light pathways in a confocal microscopy. Light
emitted by the laser passes through a pinhole aperture, is
reflected by a dichromatic mirror and scanned across the specimen
in a defined focal plane. Light emitted from the specimen
(fluorescence) emanating from the focal plane passes back through
the dichromatic mirror and is focused as a confocal point at the
detector pinhole aperture.
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Super-resolution Imaging In conventional diffraction-limited
far-field optical microscopy there is a resolution limit at
approximately 200 nanometers laterally when imaging with visible
light (see Eq.1). This limit exists because of the laws of nature
(diffraction), and a mathematical principle stated by Ernst Abbe in
the late 19th century describes this limit as function of the
applied wavelength ant the objective’s performance. In other words,
the minimum distance (and thus highest resolution) between two
objects that can be resolved, is dependent on the wavelength of
light and the numerical aperture of the objective lens used [10].
Being technically limited for over hundred years by
diffraction-limited microscopy, several new novel optional
techniques have been developed in the last decades that can
circumvent the diffraction limit. These methods are collectively
known as super-resolution microscopy (SRM) and denote any light
microscopy techniques that are able to image with a resolution that
goes beyond the Abbe diffraction limit. In simple terms, all SRM
methods circumvented the diffraction limit by switching fluorescent
markers on and off between adjacent states, and one is thus capable
of separate labelled entities in space (and time)having smaller
distances. All of these SRM different techniques come with their
pros and cons, and it is of importance to choose wisely between the
different methods. The special methods can coarsely be divided into
different categories, as for example with near-field methods that
operate close to the sample and the opposite, far-field methods,
that image samples optically at a normal distance. Within the
far-field imaging category, there is an especially popular
technique called stimulated emission depletion (STED) microscopy,
which is well suited for imaging of thicker tissue imaging as it
likes confocal microscopy have good optical section capabilities
[11]. In this thesis super-resolution STED microscopy has been
applied as a nanoscale imaging reference to evaluate expanded
samples imaged with diffraction-limited confocal microscopy.
Stimulated Emission depletion (STED) Microscopy Stimulated emission
depletion microscopy (STED) uses fluorescent fluorophores (e.g.
dyes) that can be switched on and off to obtain
diffraction-unlimited images. Two lasers are commonly used, and
they are scanning pixel by pixel over the sample. Essentially, by
sequentially removing fluorescent light that is not in a nanoscaled
focus area by OFF-switching higher resolution can be reached
optically(see Fig. S 20). Technically this is achieved in STED by
applying an intense OFF-switching laser that is sculptured to
operate in the outer regions of the diffraction limited
excitation/emission focus, and the high energy of this depletion
laser affects the excited fluorophores so that they fall back to
the ground state. This suppression of the possibility for the
fluorophore to fluoresce (i.e. spontaneously emit) is obtained by
stimulated emission, which occurs when a fluorophore in the excited
state meets an off-switching depletion photon with energy roughly
equal to the difference between the ground state and excited state
(see fig.1). The excited fluorophore is through the stimulated
process thus forced to falls back to the ground state, i.e. it is
stimulated to relax to the ground state while actually emitting
light of the same wavelength as the off-switching laser. This more
red-color shifted light is however not imaged in a STED microscope
(filtered out). Only the remaining exited fluorophores that is not
stimulated to be turned ‘OFF’
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into the ground state are then finally able to emit fluorescence
signal from the very center of the focus. Separation in space and
time by controlled switching and imaging is thus the novel
principle how STED can be used to separate and better resolve
fluorescently labelled structures.
In other words, selective switching after scanning from pixel to
pixel thus enables features closer than the diffraction limit to be
separated [12]. The novelty of STED is to realize that the OFF
state is when the molecule is in its ground state, and the ON state
is when the molecule is excited, and it is the controlled optical
switching that gives improved (super) resolving powers. The
switching of states is often controlled by co-aligning a Gaussian
profiled excitation beam with a diffraction limited hollow STED
beam. The first laser is often a picosecond pulsed diode laser that
excites the fluorescent molecules. The excitation pulse is then
followed by a red-shifted stimulated emission depletion pulse which
off-switch (quench) the fluorescence from molecules in the
periphery of the excitation focus. The high intensities of the
stimulated emission depletion laser make sure that the periphery
fluorophores switch into the ground state but is excluding the
ON-signaling fluorophores remaining in the very central focal
‘zero’-intensity point. In essence STED microscopy hence, by using
two laser beams allows to optically increase the spatial resolution
by sculpturing the size of the OFF/ON-switching ‘zero’-region as
shown theoretically and experimentally in the last decades
[13].
Figure 3. Confocal versus STED imaging. Non-expanded neurons
treated with Spectrin. (LEFT) Confocal image. (RIGHT) STED
image.
In theory a STED microscope could with a perfect zero-region and
very high stimulated emission depletion laser power image down to
the spatial sizes of molecules, but practically the maximally
achievable lateral resolution for cellular or tissue imaging is ~20
-50 nm [13].
However, STED microscopy has several limitations as for example
the SNR (signal-to-noise-ratio) is low, because in the nanoscale
focus only a few remaining or even just a single fluorescent
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molecule contributes to the signal. SNR is affected by the
efficiency of detection, of the intensities of the fluorophore
signals and any background generated by the laser beams or the
imaged sample structures. Measuring with STED microscopy is thus as
with all SRM techniques a constant practical optimization and
struggle of trying to improve signals and lower backgrounds while
enhancing resolution. Accordingly, there are still lots of
improvements that could advance this technique further, such as the
optimization for increased sample penetration depth, or very fast
temporal imaging, as well as pushing for live cell compatibility by
imaging in cells, organisms or even animals [12].
Expansion Microscopy Optical super-Resolution technologies are
able to achieve spatial resolution beyond the diffraction limit.
However, they suffer from several technical and practical
drawbacks. The methods require special fluorophores that are
compatible to different ON/OFF-switching schemes, there is a risk
of bleaching the samples because of the use of different high-power
switching lasers, and the methods are sometimes technically very
demanding both from a hardware side and software analysis side. A
super-resolution method with a potentially simpler toolbox has thus
also been sought for the last couple of years. By focusing on the
sample and expanding it, super-resolution imaging of a blown-up
sample topology is possible. This so-called expansion microscopy
(ExM) approach intuitively allows one to see something invisible by
making it much larger. Even though ExM is a new technique only
performed for a couple of years, the method is very popular with a
fast-growing use in laboratory research. The protocol is easy to
follow, with relatively easy-to-get materials and subsequent
imaging can be used on conventional optical microscopes. Although
the method is restricted to fixed samples, the achievable nanoscale
resolution provides answers to numerous of biological questions and
the method is evolving to diverse scientific and clinical contexts.
The crucial path to successfully apply expansion is first the
tedious optimization work of finding the perfect sample protocol
for the selected cell or tissue system being investigated. The
second important part it have to control measurements allowing for
evaluation of the expanded samples and detection of possible
blown-up artifacts.
Procedure Simplistically, when applying tissue or cellular
expansion protocols, one need to attach a small “handle” on the
targeted biomolecules, a process called an anchoring treatment. By
using access of monomers and different chemicals for reactions
attaching, nesting and growing polymeric chains can go around and
in-between the targeted biomolecules and also bind to their handles
(see fig. 5). When water is later added, these polymeric chains
will straighten out and bring the targeted biomolecules with them
allowing a larger distance between each molecule to be induced (see
fig.4). In the original expansion protocol by Boyden et al
developed in 2015, targeted biomolecules were first labeled with a
primary antibody, and then a secondary antibody bearing the
gel-target anchoring moiety was added. A second specifically
synthesized fluorescent tag (DNA primer + dye), which is able to
bind to the antibody complexes, was thereafter used to be able to
optically
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target the biomolecules of interest to the polymeric gel. The
last step in the initial ExM protocol was to add a swellable
polyelectrolyte polymeric gel that cross-linked the sample and
formed a dense meshwork that later could be stretched out (expanded
~4-5 times). The polymeric gel is densely cross-linked with a
crosslinker so that after isotropic swelling, the targeted
structure remains its (assumed) spatial organization relative to
each expanded sample position (see fig. 4). Making ExM work
properly is in large dependent on the induction and compatibility
of the gel formation taking place in the sample (tissue or cells).
The chemical sample and gel reactions must preserve the topology of
targeted biomolecules, as well as the optical fluorescent signal
used to read out positions. Simplistically speaking, expansion
microscopy is chemistry, or advance gel forming chemistry applying
polymers to anchor and swell sample topology. Polymers are large
molecules that is made by many monomers that are joined together in
a long chain. A single polymer is made by thousands of monomers and
have unique properties depending on the type of molecules it is
consisting of. Polymerization is a procedure were one take monomers
and alter the chemical bonds that hold the molecules together by
heat or pressure. Different chemical processes makes the molecules
to mesh and bond in a network structure resulting in a gel polymer
[14]. The polymer chains are very dense and as thin as the width of
a biomolecule, and when they are absorbing water the chains move
apart from each other. The whole material swells and becomes
several times bigger in size. The polymerization is triggered with
ammonium persulfate (APS) initiator and tetramethylethylenediamine
(TEMED) accelerator, and then treated with protease to homogenize
its mechanical properties and ensure an isotropic expansion of the
sample. By adding water, the gel expands through osmoses. The
polymer is capable to retain an enormous extent of water relative
to its mass and swells to at least four times its size. The
biomolecules are thus pushed away with a larger distance relative
from each other, which by isotropic expanded separation remarkably
decreases the impact of the diffraction limit when imaging the
sample with a conventional light microscope. Another benefit is
that the expanded sample is also very transparent, which allow deep
tissue imaging of whole organs (e.g. a mouse brain) with an air or
water index-matched objective. The expanded samples are highly
transparent and water index-matched, since they contain more than
99% water, while the targeted positions of biomolecules remain
covalently anchored with high yield to the polymeric network
[14].
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Figure 4. Schematic of polyelectrolyte network. (A) Schematic of
a collapsed polyelectrolyte network, showing crosslinker (dot) and
polymer chain (line). (B) Expanded network after H2O dialysis.
Figure 5. Schematic of microtubules and polymer network. First,
the specimen is fixed and treated with compounds that bind to the
biomolecules called anchoring treatment. Next, a hydrogel of
densely crosslinked monomers is polymerized throughout the
cells/tissue called gelation. Then, the specimen-hydrogel composite
is digested and then the specimen is finally ready for the
expansion by dialysis in water. (A) Schematic of microtubules
(green) and polymer network (blue). (B) A label that can be
anchored to the gel at site of a biomolecule, is hybridized to the
oligo-bearing secondary antibody top bound via the primary to
microtubules (green lines) and is incorporated into the gel (blue
lines) via the methacryloyl group (red dot).
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Variants of ExM The are many different kinds of ExM protocols
invented over the past few years, optimized for different specimens
and for different biological questions, The first expansion
protocol was reported in 2015, when Edward S. Boyden and his
colleagues at M.I.T Center for Neurobiological Engineering
published a paper where they stated that they were able to expand
cells and tissues five time their size and observe objects
separated effectively down to a scale of 70 nanometers, through a
conventional optical microscope. The researchers also performed
three-color sample stretched super-resolution imaging of the mouse
hippocampus with confocal microscopy [14]. Their tissue and cell
expansion idea grew out from investigating research done by
Toyoichi Tanaka in the 1970s, where he discovered and explored
different polymeric gels that respond to stimuli such as water
(swelling/shrinking) [16]. Boyden and his colleagues further
explored whether dialyzing polyelectrolyte gels in water could
expressed in biological samples and developed a strategy, in which
they successfully made fluorescent labelling compatible with tissue
expansion. They named the process of labeling, gelation, digestion
and expansion for Expansion Microscopy and started to generate
stunning images of for example fluorescently transferred brain
cells [14].
Figure 6. Membrane expansion and ExFISH. (LEFT) Maximum
intensity projection of confocal microscopy stack following
expansion of membrane labeled Brainbow3.0 neurons [2]. (RIGHT)
ExFISH image with delivered probes against six RNA targets in a
cultured HeLa cell, Scale bar 20 µm [9].
After the first publication about ExM in 2015, numeral papers
have been published about expansion microscopy. Boyden and
colleagues have simultaneosly developed different methods and
variants of ExM, to extend the application to diverse scientific
and clinical contexts. In 2016, they published a paper describing
florescent in situ hybridization imaging of RNA using ExM (ExFISH).
In the ExFISH protocol, the target is to separate RNAs while still
be able to support amplification of single-molecule signals, and
ExM was thus refined to covalently link RNAs directly to the gel
via small molecule linker [17]. Two months later another paper was
published with a variant of ExM
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in which proteins are anchored to the gel (proExM) [17] [18].
ProExM is as ExFISH an extension of the original protocol, where
Boyden et al showed that it is possible to directly anchor proteins
instead of the synthesized label to the gel polymerized throughout
a biological sample. This latter method beneficially allows
commercial secondary antibodies to be used, unlike the original
protocol, where custom conjugation of secondary antibodies was
needed [18].
Iterative Expansion Microscopy (iExM) and Expansion Pathology
(ExPath) is two additional extensions of ExM published by Boydens
group in 2017 [4] [19]. With the help of a second gelation step,
they were able to expand dendritic spines in mouse brain circuitry
20-fold and entitled the process “iterative” ExM. After the first
gelation- and expansion step, they prepared a second gel with
another oligonucleotide bearing a fluorophore and a cleavable
crosslinker. The oligonucleotide hybridizes to the oligonucleotide
in the first gel, and then the first gel is dissolved by cleaving
the crosslinkers before a second expansion [19]. Moreover, Boyden
and colleagues furthermore extended the process for proExM on human
tissues optimized for clinically samples (ExPath). This process
starts with fixing the human tissues with formalin and embedding
them in paraffin. Next, the samples are stained and fresh frozen
and the tissues could then be used for analysis of nanoscale
imaging for optical diagnosis of kidney minimal-change disease [4].
Later the same year, yet another paper was published were Boyden et
al studied the function of expansion in a larval and embryonic
zebrafish sample. With this work, they could resolve subsynaptic
protein organization and characterize the shapes of nuclear
invaginations and channels [20]. Further improved resolution was
obtained when UltraExM was presented, a method in which the 9-fold
symmetry of cellular centrioles can be visualized with a confocal
microscope. By combining this method with optical super-resolution
STED microscopy, images even revealed the chirality of the
microtubule triplets of the centrioles for the first time. In the
developed UltaExM sample protocol low concentrations of
formaldehyde and acrylamide for fixation are used so that
cross-linked macromolecules are affected as little as possible
[21].
Besides the research on ExM done by Edward S Boyden and his
team, other groups by them-self have also applied the concept of
expansion in their experimental work. Joshua C. Vaughan and his
team developed a new technique in the area of linking fluorophores
to the swellable polymer. They found that treating cultured cells
with MA-NHS (methacrylic acid N-hydroxy succinimidyl ester)
presented a good retention of fluorescent signal after digestion
and expansion. They also found that glutaraldehyde (GA) generated
good fluorescence retention after digestion in combination with
their sample protocol. In conventional fluorescence sample
preparation protocols the use of GA often introduces a severe
background signal. In the hands of Vaughan et al the cells treated
with any of these compounds showed a much brighter signal than the
untreated ones using ExM DNA-labeled antibodies. In their protocol
they furthermore added high concentrations of organic fluorophores
that are able to survive the gel polymerization step, thus adding
to the protocol developments explored by Boyden et al [22]. The
Vaughan group moreover very recently presented a paper that
introduced ExSIM, which combines specimen expansion with optical
super-resolution in this case applying structured illumination
microscopy (SIM). The combined method yielded an
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effective spatial superresolution of around ~30 nm [23]. In a
follow up published paper from the Vaughn group, they further
optimized the initial ExM protocol to even study Drosophila
tissues, with a ~70 nm lateral resolution of the imaged
biomolecular structure [24].
Furthermore, in July 2016 Chung et al introduced yet another
expansion method for linear expansion of organs. The process was
called MAP (Magnified Analysis of Proteome) and the protocol
preserves the full content of a 3D tissue proteome and makes it
possible to image undamaged biological structures for combined
extraction of the molecular identity, subcellular architectures,
and intracellular connectivity of various cell types. Contrasting
the other listed protocols, MAP is capable to label thick tissues
relatively fast since the labeling of antibodies is done post lipid
removal and tissue gel permeabilization. MAP thus reverses the ExM
protocol scheme (ExM à labeling, gelation, digestion and expansion)
and in principle decouples labeling from other steps. This should
potentially minimize influences induced on labeling by the other
steps in the sample preparation protocol(s).
Moreover, early in 2017, a comparison between ExM and STED was
presented on a wide range of different samples [25]. In connection
to this, Rizzoli et al announced an enhanced expansion technique on
how to modify the polymeric gel chemistry so its expansion factors
can be increased approximately 10-fold [26]. To calibrate expansion
factors and influences on labeled structures Scheinble and
Tinnerfeld measured distances in samples before and after
expansion. They did this by applying the expansion on fluorescently
marked DNA nanorulers. As a final example, in March 2018 Ewers and
his team combined ExM with optical super-resolution STED (calling
it ExSTED) on fixed cells and could demonstrate
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without the need for expensive SRM-techniques, or serial
block-face electron microscopy micrometer volume scanning. The
center of most of the questions asked in neuroscience is within the
understanding of how molecules in neuronal circuits are arranged.
In order to investigate these structures there is a need to map the
biomolecules across the spatial extents of neurons. With ExM one
can visualize synapses and synaptic proteins of many neurons in
order to do neural network analyses [30]. The cytoskeleton of a
neuron includes the microtubules, neurofilaments and
microfilaments. The microtubules are involved in intra-cellular
transport, and defects in these structures may lead to
neurodevelopmental and neurodegenerative diseases. The microtubules
are about 25 nanometers in diameter and thus, the processes related
to these diseases take place on the nanoscale. With different
versions of ExM it is now possible to resolve microtubular
structures in several different sub-cellular structures[2]
[28].
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3. EXPERIMENTAL WORK The proExM experiments were performed on
cell cultured neurons from the hippocampus of a mouse. All
experiments were performed in accordance with animal welfare
guidelines and regulations set forth by Karolinska Institutet. The
samples were marked with antibodies and fluorescent markers and
imaged mainly with a confocal microscope. When image comparisons
were made images were taken from same or similar area of interest,
and with the same laser power excitation powers; making it possible
to generate image intensity curves could be made that represent the
image intensity drop-offs during time. The curves were fitted and
analyzed depending on the purpose of the performed experiment. As
for the confocal imaging the settings were adapted according to the
used dyes and the laser power was set depending on the signal
strength. Most images were taken using a 40x/1.3 NA water objective
or a 63x/1.4 NA oil objective. In addition to the confocal images,
some images were taken using a STED microscope. This was done to
obtain the best resolution possible in a sample that already had
shown good resolution in the confocal microscope, or to make
comparisons between different imaging techniques.
ProExM protocol Fixation. Fix a 37°C prewarmed cell sample in 1
mL 4% formaldehyde (FA) in PBS buffer for 10 minutes. To make 4%
FA: dissolve 4% paraformaldehyde (PFA) in PBS in a beaker, add 1
pellet NaOH, stir and heat (80°C) until dissolved and adjust pH to
7.4. Primary antibody staining. Permeabilize cells with 0.5%
Triton-X-100 in PBS for 5 minutes then block cells with blocking
buffer (with 5% BSA in PBS) for 5 minutes. Incubate cells with
primary antibodies diluted in blocking buffer (with 5% BSA in PBS)
in desired concentration and leave for ~1 hour in for example a
plastic box with a small amount of water on the bottom to keep the
environment humid. Then wash in PBS for 5 minutes. Secondary
antibody staining. Block cells with a blocking buffer (5% BSA in
PBS) for 5 minutes and then incubate cells with secondary
antibodies diluted in blocking buffer (with 5% BSA in PBS) in
desired concentration and leave for ~1 hour in for example a
plastic box with a small amount of water on the bottom to keep the
environment humid. Wash in PBS for 20 minutes. (Optional) Secondary
fixation. Treat samples with 0.25% glutaraldehyde (GA) for 10
minutes and wash 3x5 minutes in PBS buffer. Anchoring treatment
with Acryloyl X-SE: Re-suspend Acryloyl X-SE
(6-((acryloyl)amino)hexanoic acid, succinimidyl ester (AcX) in 500
µl anhydrous DMSO at a concentration of 10 mg/mL stock solution
(keep in freezer at -20°C). Dilute AcX 1:100 (0.1 mg/mL) in PBS at
a concentration of 0.1 mg/mL. Treat the sample for at least 6 hours
in room temperature (may be left over night) and then wash 2x15
minutes in PBS buffer.
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Anchoring treatment with MA-NHS: Treat cells with 1 mM MA-NHS in
PBS buffer diluted from DMSO stock (0.018 g MA-NHS in 100 µl DMSO
and stored at -20°C). Leave the sample for 1 hour at room
temperature. Gelation. To make a 200 µl gelling solution, take 188
µl monomer solution, 4 µl TEMED (accelerator solution) that are
kept as stock solution at 10%), and finally add 4 µl APS (initiator
solution) that are kept as stock solution at 10% APS). Since these
solutions needs to be kept at 4°C preferably mix the solutions on
ice. To make the chambers for the gelation step, take a glass slide
and put the cell sample in the middle of it and remove excess
liquid from sample. Put three coverglasses on each side of the
sample and gently dispense ~60 µl gel solution onto the cells (see
Fig. 8). Then, carefully place a coverglass on top of the sample
without any air bubbles and incubate in 37°C incubator for 1.5-2
hours for gelation. Digestion and expansion. Remove the top
coverslip carefully. Put some digestion buffer (50 mM Tris pH 8.0,
1mM EDTA and 0.5 Triton X-100) on the gels to easier be able to
remove them from the glass. Leave for 5 min and then gently remove
the gels and place them in cell culture wells with digestion
buffer. Proteinase K was added to the digestion buffer with 8
Units/mL. The digestion times for proteinase-K treatment may be
varied from 30 minutes up to 2 hours, although the sample will lose
its fluorescence if treated > 4 hours. Remove the gels from the
digestion buffer and place them in deionized (DI) water to allow
swelling. The gels it will expand ~4 times so make sure the wells
are big enough for the expansion. Change water at least 2 times and
wait for at least 1 hour before imaging the gels. Imaging. Cultured
neuronal cells. Imaging was performed on a Zeiss LSM780 confocal
microscope with a Argon multiline excitation laser (458, 488 and
514 nm) using a 32-Channel GaAsP detector with the 40x 1.30 NA
water objective or the 63x 1.40 NA oil objective and a pinhole
setting of 1 Airy unit. Some super-resolution microscopy images
were taken with a Zeiss Elyra P.1 superresolution photoactivated
localization microscopy (PALM) or a Leica SP8 3X STED microscope.
The imaging software used to both acquire the images and do the
necessary first processing steps was ZEN Black 2012.
Sample preparation techniques Hippocampal mouse neurons were
fixed on high precision coverslips (No. 1.5) and kept in a 12 Well
Cell Culture Cluster. The samples were blocked and stained with
primary (Panorama, Alpha Tubulin, Spectrin, GFAP and Synaptotagmin)
and secondary antibodies (Goat anti Mouse 488, Goat anti Mouse 594,
Rat anti Mouse 568, Donkey anti Goat 488, Goat anti Guinea Pig 488
and Donkey anti Guinea pig 594). The samples were stained in a box
with wet paper in the bottom (to
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keep environment humid) and accessory fluid was removed by
dipping the coverslip on paper. Around ~30 µl of dye was dropped on
top of the samples to mark the neurons with the antibodies..
Figure 7. The box used for staining.
The anchoring treatment was done either by using Acryloyl X-SE
or MA-NHS and was usually left overnight or more than 6 hours. The
gel solution was mixed on ice and APS initiator solution was
finally added. For the gelation step, chambers were made by taking
a microscope slide (~76x26x1.35mm) and have the sample on the cover
slip placed in the center. Thin empty glass coverslips (22x40mm)
were then cut in half with help of a crystal cutter and three half
glass pieces were put on top of each other on each side of the
larger glass slide (see Fig. 8). Around ~70 µl of gelation solution
was dropped on top of the sample and finally a whole thin coverslip
was placed on top of the sample like a bridge between the cut
pieces, which thus sealed the home-made sample chamber.
Figure 8. Gel chamber schematic.
The polymeric gelation step was performed in a Shake’N’Bake
Hybridization Oven. The gel was later removed from the coverslip
either by removing the top part and placing the bottom part in
digestion buffer directly (with the risk of a quite wrinkled gel)
or by adding some digestion buffer directly on the sample and
gently remove it from the coverslip with a razor blade (with the
risk of breaking the gel). Digestion times were varied and by the
time the sample was ready to be expanded they were put in a glass
bottom microwell dish (MatTek 35 mm petri dish, 14mm Microwell) and
DI water was purred into the well. Occasionally a lid was placed
over the sample when the sample was imaged, with a few screws as
weight to avoid the gels from drifting.
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Figure 9. A petri dish with a lid. A petri dish with an added
lid was used as image sample holder for the gel. The added screws
on top were applied as weight to prevent the gel sample from
drifting while imaging.
Imaging The majority of the images was taken with a Zeiss LSM780
confocal microscope equipped with an Argon multiline excitation
laser (458, 488 and 514 nm) and a 32-Channel GaAsP detector and two
photomultiplier tubes- Fluorescence signal was collected by a
40x/1.3 NA water or a 63x/1.4 NA oil immersion objective lens and
detected by a photomultiplier tube. Some super-resolution images
were taken with a Zeiss Elyra P.1 superresolution photoactivated
localization microscopy (PALM) and a Leica SP8 3X STED microscope
with a pulsed diode laser. The software used to both acquire the
images and do the necessary first processing steps was ZEN Black
2012.
Data analysis and representations To further analyze collected
microscope images and data, scripts were written in the MATLAB
software. The image and data analysis included making graphs and
calculate mean point to point distance from imaged expanded and
un-expanded labelled neuronal samples. Imaging processing was also
done in Fiji (Fiji Is Just ImageJ) which is an open source image
processing package based on ImageJ. Contrast and brightness in
images was adjusted, some images required filter processing (median
filtering) and scale bars were added using Fiji. An area of choice
was selected and by the plugin “plot profile” an intensity graph of
Spectrin rings could be obtained and analyzed (cf. Fig. 12).
Further image managing was done with Inkscape, an open-source
vector graphics editor were different images and graphs were put
together into figures.
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4. RESULTS In this section the results from the performed
experiments are presented which shows the different outcomes from
the varied sample preparation techniques. The presented images and
graphs covers the results noted throughout all the experimental
optimization performed in this thesis.
Staining The first step was to image neurons stained with
different antibodies, in order to check that they worked well
together with the proExM protocol. Antibodies used throughout the
experiments were anti-Spectrin, anti-Pan-Neuronal marker, Alpha
Tubulin and Synaptotagmin. Spectrin is a cytoskeletal protein
forming a 2D intracellular periodic network and is crucial for
support of the structure and stability of the cell membrane in
axons and dendrites. Spectrin is a large heterodimeric protein with
sequence motifs called “Spectrin repeats” or “Spectrin rings” and
the protein interacts mainly with actin, ankyrin and lipids [33].
The Pan Neuronal marker is an antibody cocktail that binds nuclear,
dendritic and axonal proteins distributed across the pan-neuronal
architecture [34]. Alpha tubulin forms, together with beta tubulin,
the tubulin subunit which is a component of the cytoskeleton that
mediate the microtubule action such as intracellular transport.
Finally, Synaptotagmin is a major calcium sensor vesicle protein
involved in the regulation of neurotransmitter release [35]. As can
be seen in Fig. 10, all four protein-staining preparation delivered
fully decorated neurons (gray contrast) with the proExM protocol.
In A individual microtubular bundles elongate within the thicker
dendrites and thinner axons; in B the axon and dendrites all show
their content of Spectrin; in C Synaptotagmin is mainly expressed
in the thinner axons and their globules boutons; in D the Pan
Neuronal marker smoothly labels the neuronal lineage in the mouse
hippocampal proExM gel cell culture. In all the images resembles
cell culture images rendered without applying the gel proExM
protocol, showing that immunolabeling of these four selected
protein-staining preparations seems to be compatible with its
additional sample preparation steps.
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Figure 10. proExM imaging of antibodies of interest. Confocal
images of expanded neuronal cells stained with (A) Alpha tubulin.
(B) Spectrin. (C) Synaptotagmin. (D) Pan Neuronal marker.
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A comparison between Confocal, STED and Expansion Microscopy As
previously mentioned (see background) confocal microscopy is widely
used in cell and tissue imaging because of its low cost and
convenient usage (e.g. can use common dyes and have down to 200 nm
lateral resolution). However, because of the diffraction limit
conventional confocal microscopes have a restricted lateral
resolution. Super-resolution STED microscopy uses saturated
de-excitation of fluorescent dyes to spatially separate individual
entities to overcome the resolution limit imposed by diffraction,
but this comes with a higher cost and a more technical demanding
system. Here we show images of expanded neurons with a resolution
similar to the STED images and with great improvement in comparison
to the non-expanded image of neurons imaged with conventional
confocal microscope. The neurons are all stained with anti-Spectrin
and treated with the same preparation techniques (except the water
swelling step applied for the expanded samples). As can be seen in
Fig. 11, the comparison first shows the stunning periodic ring
structures of Spectrin in the neurons. This is resolved optically
with super-resolution STED imaging in Fig. 11B, using the very
expensive and sophisticated Leica 3X STED microscope in our
national bioimaging facility. In Fig. 11C the same stunning
sub-diffraction unlimited resolving power of the periodic Spectrin
rings is also visualized with expansion, just using conventional
confocal microscopy. In Fig. 11A when not using expansion the
periodic Spectrin structures are not possible to resolve, as their
spacing are below the diffraction limit and resolving power of the
confocal microscope.
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Figure 11. Comparison between confocal, STED and confocal
expansion microscopy. We compared images acquired via confocal
microscopy versus images acquired via STED microscopy and
post-expansion confocal microscopy. All samples are stained with
Spectrin. (A) Non-expanded sample imaged with a confocal
microscope. (B) Non-expanded sample imaged with a STED microscope.
(C) Expanded sample imaged with a confocal microscope.
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Resolving the periodic expression of Spectrin To evaluate and
also to compare the expansion microscopy data to super-resolution
imaging data published a few years ago, the periodic Spectrin rings
structures was measured. A mean peak to peak distance was obtained
from an image of expanded neurons stained with Spectrin, presenting
the average distance between the Spectrin rings. The measured
distance was 738 nanometers (see Fig. 12 below) and by comparing
this result with known literature (where Spectrin rings distances
are measured to be around ~180 to 190 nanometers [36]) the
estimated expansion was calculated to be around 3.9 to 4.1 times
(738/180 = 4.1, 738/190 = 3.9). When measuring the gel size with a
ruler before and after expansion it was found that the
magnification was around 3.9 to 4.2 times, which thus correlated
well with the in-sample measured expansion factor of the Spectrin
ring periodicity. The macroscopic gel expansion measurement also
correlate with previous work in the lab, as well as expansion
microscopy results published in the literature [15].
Figure 12. Periodic expression of Spectrin in neurons. (A) A
intensity plot of the marked area in (C). (B) Image of expanded
neurons stained with Spectrin. (C) A zoomed-in area of (B) were the
area of interest is marked in yellow.
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Variation of the digestion time To evaluate the optimal
enzymatic digestion step, which in first principle only removes
protein, fat and lipids but leaves the labeling structures
decorating the gel untouched, different digestion times were
tested. As can be seen in Fig. 13, the digestion time hade a huge
influence on how well the labeling were preserved for the neuronal
topology. We here imaged non-expanded neurons immunostained for
Spectrin, anchored with AcX and digested with proteinase K for
different durations (15 minutes, 1 hour, 2 hours and 4 hours).
Digestion times over 15 minutes seems to severely deter the
remaining fluorescence signal of the sample, thus pointing towards
that the enzymatic digestion also removes a lot of the
immunolabeling of the proExM protocol. Microscope parameters such
as laser power and detector gain were kept the same for all
measurements. This problem of a huge decreased fluorescence signal
as function of digestion time has not been pointed out in the
literature. Instead long digestion times has been applied and
reported to by just beneficial. Most data has however been
generated from imaging large multicellular structures. Here we have
analyzed sub-cellular structures like the periodic Spectrin rings
structures in dendrites. If we instead look on a multicellular
level we see a somewhat slower drop in lost signal as function of
digestion times (see Fig.14). However, there is as shown Figure 14,
an increased intensity drop-off in preserved fluorescence intensity
in these samples too with longer digestion times. To further
measure the presumed intensity decrease with digestion time, we
performed a real time experiment in which the sample was digested
(with proteinase K) whilst being imaged in the confocal microscope.
The sample was stained with anti-Spectrin and imaged every 10th
minute for 6 hours. There was a 40% loss of signal intensity after
~6 hours (see Fig. 14 A). Digestion times will thus be a crucial
step to control if the proExM protocol is going to be well suited
for sub-cellular topological studies. Additionally, neurons stained
with Pan Neuronal markers, anchored with Acryloyl X-SE (AcX) and
digested with Proteinase K overnight, also lost all its
fluorescence and could not be imaged. Thus pointing towards that
too long digestion in general terms deter the labeled sample
topology.
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Figure 13. Neurons with different digestion times. Neurons
treated with Spectrin, Goat anti-Mouse (Atto) 594 and Acryloyl X
-SE and imaged with a confocal microscope. (A) Digestion time: 15
min. (B) Digestion time: 1 hour. (C) Digestion time: 2 hours. (D)
Digestion time: 4 hours.
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Figure 14. Intensity drop off with digestion time. Expanded
neuronal cells stained with Spectrin, digested for different times
and imaged with a confocal microscope. (A) Profile of intensity
taken at different time points. (B) Confocal image of neuronal
cells not digested with proteinase K. (C) Confocal image of
neuronal cells digested with proteinase K for 24 hours.
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A comparison between Acryloyl X -SE and MA-NHS To evaluate if
different anchoring treatments could influence the decrease seen in
fluorescence signal with longer digestion time, we next compared
images of samples anchored with MA-NHS to images of samples
anchored with Acryloyl X -SE. Figure 15 shows the comparison when
we stained the neuronal cells with anti-Pan-Neuronal and digested
for 0 minutes, 2 hours, 4 hours and 24 hours. By measuring the mean
intensity of the images over time, it was clear that the samples
anchored with MA-NHS showed much greater intensity stability over
time in comparison with the Acryloyl X -SE anchoring samples, where
there was again a clear decrease in signal intensity over time.
This last result thus points towards that MA-NHS anchors sample
labeling much more firmly. In addition, when comparing the
non-digested samples anchored with MA-NHS to non-digested samples
anchored with Acryloyl X -SE, we found that there were more
inhomogeneities in the sample anchored with Acryloyl X -SE (see
Fig. 16). All these sample preparation artefacts needs to be more
studied and better controlled, in order to find the best protocols
when applying expansion microscopy for sub-cellular topological
trustworthy imaging. This is no news in biological imaging as all
preparation steps need to preserve the studied structures in order
to be of use.
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Figure 15. Comparison between anchoring treatment with MA-NHS
and Acryloyl X-SE. Non-expanded neurons stained with Pan Neuronal,
anchored with either MA-NHS or Acryloyl X -SE and imaged with a
confocal microscope. (A, B, C and D) Neurons anchored with MA-NHS
and digested for (A) 0 minutes, (B) 2 hours, (C), 4 hours and (D)
24 hours. (E, F, G and H) Neurons anchored with Acryloyl X-SE and
digested for (E) 0 minutes, (F) 2 hours, (G), 4 hours and (H) 24
hours. (I) Graph showing the image intensity over different
digestion times in neurons anchored with MA-NHS. (J) Graph showing
the average image intensity over different digestion times in
neurons anchored with Acryloyl X-SE.
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Figure 16. Comparison between anchoring treatment with MA-NHS
and Acryloyl X -SE. Expanded neuronal cells stained with
anti-Pan-Neuronal marker, imaged with a confocal microscope and
anchored with (A) MA-NHS or (B) Acryloyl X-SE. The asterisk in
panel B indicates a neuronal structure which has not expanded
uniformly, leaving an apparent break in an otherwise continuous
axon or dendrite.
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5. DISCUSSION Expansion Microscopy provides an additional option
to overcome the diffraction limit to generate super-resolved
images, and the method is relatively easy to use compared to other
super-resolution techniques. In this report we investigated the
proExM protocol for imaging cultured neuronal cells. We first
examined the labeling of Spectrin, Pan-Neuronal marker, Alpha
Tubulin and Synaptotagmin. All of these antibodies yielded good
image quality (Fig. 10). We then compared Confocal, STED and
Expansion Microscopy and we obtained similar image quality in the
STED and Expansion Microscopy, with an obvious improvement over the
image quality obtained in the conventional confocal microscopy
image with higher signal of the labeled structures for example
(Fig. 11). To quantify the expansion factor of the gel, we expanded
neuronal cells stained with Spectrin and measured the mean
peak-to-peak distance and compared the result with known
measurements from literature on non-expanded neurons stained with
Spectrin. This result showed an expansion factor of 3.9 to 4.1
times which yielded a good approximation of the physical expansion
and was consistent with the results obtained by measuring
macroscopic swelling by means of a ruler. However, depending on the
chosen area of interest, this result might differ slightly and
there is no comparison done with the Spectrin rings distances
before expansion in the same sample. STED microscopy however allows
such a ground truth comparison for a non-expanded sample, before
swelling take place and confocal (non-STED) imaging is done. The
next step of this thesis was to evaluate how the digestion time
affected the image intensity. First, we found that in different
samples digested for different time scales there was a decrease in
image intensity. However, this result was not trustworthy since the
intensity differences could arise because of different staining
quality in different samples or because there were different areas
of the samples imaged. To do further investigations we imaged the
same sample and the same region of interest over time when digested
with Proteinase K. Again, we found that there was a significant
reduction in image intensity and from these studies we draw the
conclusion that samples anchored with AcX should not be digested
for more than 1-2 hours in order to keep necessary intensity for
imaging. One can argue that the intensity decrease also depends on
the fact that the fluorescence is bleached by every image that was
taken. However, one imaging procedure lasted for about 5 seconds
and was taken with a 1% laser power which should generate such
severe difference for the image intensity decrease. Also, because
we had a lid on the sample (see Fig. 9) and used a smaller amount
of digestion buffer to enable imaging of the sample, it could have
affected the time for Proteinase K to diffuse into the whole
sample. It could also have affected the digestion compared to a
sample not digested with a lid. The samples were, according to this
fact, not treated exactly as it would have been treated in a
regular well. In addition, the stability of the microscope and the
temperature in the sample could also have affected the digestion
procedure.
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To further investigate the intensity changes with digestion, we
also anchored neurons with MA-NHS instead of AcX. We did a
comparison between MA-NHS and AcX anchoring treatments and imaged
the samples with different digestion times. We showed that samples
anchored with MA-NHS were less affected by the digestion time and
did not lose at much intensity at all over time. Also, we noticed
that we could not find topological breaks in non-digested samples
anchored with MA-NHS in comparison with the non-digested samples
treated with AcX (see Fig. 16). Apart from all the previously
mentioned advantages with ExM, there are plenty of difficulties
with the technique that needs to be considered. The method is still
dependent on perfect staining and sample preparation, plus the
reliability of the isotropic expansion process at a molecular level
remain modest. As with most new technologies, one might need to
confront potential problems to organize expansion microscopy for
the desired application. Depending on the purpose of the experiment
there are some factors that might need to be changed, as for
example the digestion and denaturation step. Overcoming drift is
another problem that needs to be solved and in this report, this
problem has been managed by attaching the samples by using a lid.
In summary, proExM has shown to be useful as it physically
magnifies samples homogeneously and have many applications in
imaging of biological samples with nanoscale precision. The
technique has demonstrated its usefulness in many different
neuroscientific contexts. Using our findings as a connection to
previously published work we suggest that MA-NHS is used for
anchoring treatment and in cases where AcX is used, there should
not be any longer digestion times than tens of minutes in order to
keep the majority of the fluorescence signal. To push the ExM
technique to the next level one need to overcome the retention of
signal intensity. The results summarized in this thesis are a small
addition to the optimization of the proExM protocol, but can
hopefully be used in future research. The complex anchoring
chemistry and gel mesh polymerization steps, with added enzymatic
digestion steps, before or after expansion and lebeling is a
complex parameter space to optimize. There are thus plenty of
unanswered question related to this work that needs to be further
investigated.
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6. SUPPLEMENTARY
Figure S 17. Schematic of refractive image formation (magnified,
real and inverted image), of an object placed at distance a
in-front of a thin lens having focal length f. The imaged is formed
at distance b and the magnification is given as M=b/a
Figure S 18. An AIRY disc diffraction pattern of a point source.
The point source is here the object and it will be imaged by the
optical system as a wiggly pattern with a main central peak and
neighboring smaller ringing, because of the wave nature of light
(in other words diffraction is scattering and inference of light
waves).
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36
Figure S19. Schematic of focal spot dimension of a fluorescent
microscope. The excitation wavelength is used to excite fluorescent
molecules pictured as small orange discs: However, none of the
fluorescent molecules (point sources) will be resolved, as their
distance is below the Abbe limit. They will instead all be merged
into a single focal blob of width ~200 nm and height of 3-4 times
this value in the very best diffraction-limited case.
Figure S 20. Schematic of STED microscopy. (Left) Fluorescent
molecules are excited with the blue laser focus. Overlaying the
excitation focus with the red STED focus allows one to optically
switch excited fluorescent molecules into their ground state by
stimulated emission. In-center molecules then deliver their
fluorescence (green) at the targeted position. (Right) Real image
of one fluorescent molecule attached to a glass surface localized
and resolved with STED compared to confocal imaging (i.e. no STED).
Scale bar: 200 nm.
+ =
Exc. STED no STED STED
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37
7. APPENDICES MATLAB script
ThemeasurementofthepeaktopeakdistancescriptwritteninMATLAB.Itrequiresatxtfileinput.
profile = dlmread('Lineplot1.txt','', 1,0) figure;
[pks,locs,w,p] = findpeaks(profile(:,2), profile(:,1))
plot(profile(:,1), profile(:,2),locs, pks, 'o') ylabel('Intensity
[AU]','FontSize', 15) xlabel('Distance [\mum]', 'FontSize', 15) pp
= diff(locs); meanpp = mean(pp)
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38
8. REFERENCES [1] J. S. Silfies, S. A. Schwartz and M. W. D. W.,
"Super Resolution: The Diffraction Barrier
in Optical Microscopy," Nikon Instruments Inc., 2018. [Online].
Available: https://www.microscopyu.com.
[2] V. v. Batenburg, "Mapping the Neuronal Cytoskeleton with
Expansion Microscopy," 2017. [3] "Beyond the diffraction limit,"
Nature Photonics, July 2009. [4] Y. Zhao, O. Bucur, H. Irshad, F.
Chen, A. Weins, A. L. Stancu, E.-Y. Oh, M. DiStasio, V.
Torous, B. Glass, I. E. Stillman, S. J. Schnitt, A. H. Beck and
E. S. Boyden, "Nanoscale imaging of clinical specimens using
pathology-optimized expansion microscopy," nature biotechnology, 17
July 2017.
[5] R. Gao, S. M. Asano and E. S. Boyden, "Q&A: Expansion
Microscopy," BMC Biology, 2017.
[6] Thermo Fisher Scientific, "Process of Fluorescence," Thermo
Fisher Scientific, 2018. [Online]. Available:
http://www.thermofisher.com/.
[7] Chemistry and Light School Didactic Kit, "Fluorescence,"
Chemistry and Light, 2018. [Online]. Available:
http://www.chemistryandlight.eu/.
[8] T. J. Fellers and M. W. Davidson, "Introduction to Confocal
Microscopy," Olympus Corp., 2018. [Online]. Available:
https://www.olympus-lifescience.com.
[9] S. W. Paddock, T. J. Fellers and M. W. Davidson ,
"Introductory Confocal Concepts," Nikon Intruments Inc., 2018.
[Online]. Available: https://www.microscopyu.com.
[10] E. F. Fornasiero and F. Opazo, "Super-resolution imaging
for cell biologists," Bioessays, 2015.
[11] "Beyond the diffraction limit," Nature Photonics, July
2009. [12] G. Vicidomini, P. Bianchini and A. Diaspro, "STED
super-resolved microscopy," Nature
Methods, 29 January 2018. [13] "Life Science: Stimulated
Emission Depletion Microscopy (STED)," 2018. [Online].
Available: https://www.picoquant.com/. [14] A. Bradford, "What
is a Polymer?," Purch Copyright Agent, 13 October 2017.
[Online].
Available: https://www.livescience.com/. [15] F. Chen, P. W.
Tillberg and E. S. Boyden, "Expansion Microscopy," Research, vol.
347,
no. 6221, 30 January 2015. [16] J. Markoff, "Expansion
Microscopy Stretches Limits of Conventional Microscopes," 19
January 2015.
-
39
[17] F. Chen, A. T. Wassie, A. J. Cote, A. Sinha, S. Alon, S.
Asano, E. R. Daugharthy, J.-B. Chang, A. Marblestone, G. M. Church,
A. Raj and E. S. Boyden, "Nanoscale imaging of RNA with expansion
microscopy," Nature Methods, 4 July 2016.
[18] P. W. Tillberg, F. Chen, K. D. Piatkevich, Y. Zhao, C.-C.
Yu, B. P. English, L. Gao, A. Martorell, H.-J. Suk, F. Yoshida, E.
M. DeGennaro, D. H. Roossien, L. Gong, U. Seneviratne and S.
Tannenbaum, "Protein-retention expansion microscopy of cells and
tissues labeled using standard fluorescent proteins and
antibodies," Nature Biotechnology, 4 July 2016.
[19] J.-B. Chang, F. Chen, Y.-G. Yoon, H. Babcock, J. S. Kang,
S. Asano, H.-J. Suk, N. Pak, P. W. Tillberg, A. T. Wassie, D. Cai
and E. S. Boyden, "Iterative expansion microscopy," Nature Methods,
17 April 2017.
[20] L. Freifeld, I. Odstrcil, D. Förster, A. Ramirez, J. A.
Gagnon, O. Randlett, E. K. Costa, S. Asano, O. T. Celiker, R. Gao,
D. A. Martin-Alarcon, P. Reginato, C. Dick, L. Chen, D. Schoppik
and Enge, "Expansion microscopy of zebrafish for neuroscience and
developmental biology studies," PNAS, 21 November 2017.
[21] D. Gambarotto, F. U. Zwettler, M. Cernohorska, D. Fortun,
S. Borgers, J. Heine, J. G. Schloetel, M. Reuss, E. S. Boyden, M.
Sauer, V. Hamel and P. Guichard, "Imaging beyond the
super-resolution limits using ultrastructure expansion microscopy
(UltraEx;)," bioRxiv, 25 April 2018.
[22] T. J. Chozinkski, A. R. Halpern, H. Okawa, H.-j. Kim, G. J.
Tremel, R. O. Wong and J. C. Vaughan, "Expansion Microscopy with
conventional Antibodies and fluorescent proteins," Nature Methods,
1 June 2016.
[23] A. R. Halpern, G. C. Alas, T. J. Chozinski, A. R. Paredez
and J. C. Vaughan, "Hybrid Structured Illumination Expansion
Microscopy Reveals Microbial Cytoskeleton Organization," ACS Nano,
22 November 2017.
[24] N. Jiang, H.-J. Kim, T. J. Chozinski, J. E. Azpurua, B. A.
Eaton and J. Z. Parrish, "Super-resolution imaging of Drosophila
tissues using expansion microscopy," Mol Biol Cell, 24 April
2018.
[25] L. Pesce, I. Cainero, M. Oneto, M. Cozzolino, L. Lanzano,
A. Diaspro and P. Bianchini, "Expansion and STED nanoscopy a new
tool for pushing the resolution at the limit, the fluorescent
label," 2017.
[26] S. Truckenbrodt, M. Maidorn, D. Crzan, H. Wildhagen, S.
Kabatas and S. O. Rizzoli, "X10 Expansion Microscopy Enables 25 nm
Resolution on Conventional Microscopes," bioRxiv, 11 August
2017.
[27] M. Gao, R. Maraspini, O. Beutel, A. Zehtabian, B. Eickholt,
A. Honigmann and H. Ewers, "Expansion stimulated emission depletion
microscopy (ExSTED)," bioRxiv, 8 March 2018.
[28] "A new way to study the brain's invisible secret," TEDx
Talks, 2016. [Online].
-
40
[29] E. D. Karagiannis and E. S. Boyden, "Expansion microscopy:
development and neuroscience applications," ScienceDirect,
2018.
[30] L. L. Kirkpatrick and S. T. Brady, "Molecular Components of
the Neuronal Cytoskeleton," Basic Naurochemistry: Molecular,
Cellular and Medical Aspects, 1999.
[31] R. Zhang, C. Zhang, Q. Zhao and D. Li, "Spectrin:
Structure, function and disease," Science China, December 2013.
[32] N. Stefanakis, I. Carrera and O. Hobert, "Regulatory logic
of pan-neuronal gene expression in C. elegans," Neuron, 2015.
[33] Y. Lai, J. Diao and Y.-K. Shin, "Molecular origins of
synaptotagmin activities on vesicle docking and fusion pore
opening," Scienfific Reports, March 2015.
[34] K. Xu, G. Zhong and X. Zhuang, "Actin, spectrin and
associated proteins form a periodic cytoskeletal structure in
axons," Science, November 2013.
[35] D. Unnersjö-Jess, L. Scott, S. Zambrano Sevilla, J.
Patrakka, H. Blom and H. Brismar, "Confocal super-resolution
imaging of the glomerualr filtration barrier enabled bu tissue
expansion," Kidney International, 17 August 2017.
[36] M. B. Scheible and P. Tinnefeld, "Quantifying Expansion
Microscopy with DNA Origami Expansion Nanorulers," bioRxiv, 14
February 2018.
[37] "Glomerular Disease," UNC Kidney Center, 2018. [Online].
Available:
https://unckidneycenter.org/kidneyhealthlibrary/glomerular-disease/.
[38] Khan Academy, "Renal physiology: Glomerular filtration,"
2018. [Online]. Available:
https://www.khanacademy.org/test-prep/mcat/organ-systems/the-renal-system/a/renal-physiology-glomerular-filtration.