Using Advanced Live Imaging to Visualize How the Embryo Forms in Real Time Nicolas Plachta A*STAR, Singapore LEARNING OBJECTIVES ● Describe how imaging techniques can be used to reveal mechanism controlling embryonic development. ● Identify key dynamic processes and morphogenetic events patterning the early mammalian embryo. At the conclusion of this presentation, participants should be able to: DISCLOSURE ● I have no commercial and financial relationships with commercial or financial interests and/or other relationships with manufacturers of pharmaceuticals, laboratory supplies, and/or medical devices.
23
Embed
09.30 Nicolas Plachta Plenary - ASRM...Microsoft PowerPoint - 09.30 Nicolas Plachta Plenary Author: jthrash Created Date: 3/22/2019 10:21:00 AM ...
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Using Advanced Live Imaging to Visualize How the Embryo
Forms in Real Time
Nicolas PlachtaA*STAR, Singapore
LEARNING OBJECTIVES
● Describe how imaging techniques can be used to reveal mechanism controlling embryonic development.
● Identify key dynamic processes and morphogenetic events patterning the early mammalian embryo.
At the conclusion of this presentation, participants should be able to:
DISCLOSURE
● I have no commercial and financial relationships with commercial or financial interests and/or other relationships with manufacturers of pharmaceuticals, laboratory supplies, and/or medical devices.
Imaging the Dynamics that Formthe Preimplantation Embryo
A ★S T A R
Institute of
Molecular &
Cell Biology
Nicolas Plachta
The Challenge
1-cell 16-cell8-cell >32-cell
Early Mouse Embryo
Human embryo
1-cell 16-cell8-cell
Post-implantation
Fate
Shape
Position
Extra-embryonicPluripotent
>32-cell
Early Mouse Embryo
Mouse
?
C elegans
Cell Fate
Oct4 Sox2 Nanog
Cdx2 Eomes Tead4 Gata4/6
Transcription Factors & Cell Fate
Oct4 protein levels
Levels & Lineages Uncorrelated
TF Function
Levels
Dynamics
Plachta et al.Nat Cell Biol (2011)
TF–DNA Binding Model
Oct4-paGFP
Photo-Activatable FCS
Time
Flu
ctu
atio
ns
Correlation time
Co
rrel
ati
on
Diffusion
Fractions
Brownian
ACF curve
volume < 1 fL
Kaur et al. Nature Communications (2013)Zhao et al. Nature Protocols (2017)