Top Banner
1 Bio-chips (Lab-on-a-chip)
57
Welcome message from author
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
Page 1: 12 arrays

1

Bio-chips (Lab-on-a-chip)

Page 2: 12 arrays

System architectures

Page 3: 12 arrays

White lines correspond to metal electrodes that connect to individual nanowire devices. The position of the microfluidic channel used to deliver sample is highlighted in blue and has a total size of 6 mm × 500 μm, length × width. The image field is 4.4 × 3.5 mm.

(B) Optical image of one row of addressable device elements from the region highlighted by the red-dashed box in A. The red arrow highlights the position of a device. The image field is 500 × 400 μm.

C) Scanning electron microscopy image of one silicon nanowire device. The electrode contacts are visible at the upper right and lower left regions of the image. (Scale bar: 500 nm.)

Page 4: 12 arrays

4

Bio-chips• Portable, • low cost in high volumes, • low power, • can be integrated with other components

Chii-Wann Lin et al, DEVELOPMENT OF MICROMACHINED ELECTROCHEMICAL SENSORAND PORTABLE METER SYSTEM, a Proceedings of the 20th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vol. 20, No 4,1998

Page 5: 12 arrays

5

System architectures• Chips – flat platforms, sensors below or above the chip

T. Vo-Dinh et al. , Sensors and Actuators, B 74 (2001) 2-11

Page 6: 12 arrays
Page 7: 12 arrays

7

Schematic diagram of an integrated DNA biochip system

Vo-Dinh T, Alarie JP, Isola N, Landis D, Wintenberg AL, Ericson, MN (1999) Anal Chem 71 :358–363

Page 8: 12 arrays

fluorescence detection of Cy5-labeled Streptavidin using a 4X4 photodiode array IC biochip. Excitation by a 12 mW He±Ne laser (632.8 nm).

Page 9: 12 arrays

9

Single detectors vs. Vectors and arrays

Single

Vector Array

Page 10: 12 arrays

MICROARRAYS

It is a 2D array on a solid substrate (usually a glass slide or silicon thin-film cell) that assays large number of biological material using high-throughput screening methods. Types of microarrays include:

• DNA microarrays, • oligonucleotide microarrays

• MMChips, for surveillance of microRNA populations• Protein microarrays• Tissue microarrays• Cellular microarrays (also called transfection microarrays)

• Chemical compound microarrays• Antibody microarrays• Carbohydrate arrays (glycoarrays)

Page 11: 12 arrays

DNA Arrays (Gene chips)

Page 12: 12 arrays

Example of a DNA Array(note green, yellow red colors;

also note that only part of the totalarray is depicted)

Page 13: 12 arrays

http://www.biomed.miami.edu/arrays/images/agilent_array.jpg

Example of a DNA Array(note green, yellow red colors;

also note that only part of the totalarray is depicted)

41,000+ unique human genes and transcripts represented, all with public domain annotations

Page 14: 12 arrays

an arrayed series of thousands of microscopic spots of DNA oligonucleotides, called probes, each containing picomoles of a specific DNA sequence. This can be a short section of a gene or other DNA element that are used as probes to hybridize a cDNA or cRNA sample (called target)

the probes are attached to a solid surface by a covalent bond to a chemical matrix (via epoxy-silane, amino-silane, lysine, polyacrylamide or others). The solid surface can be glass or a silicon chip

Page 15: 12 arrays

• Probe-target hybridization is usually detected and quantified by detection of fluorophore-, or chemiluminescence-labeled targets to determine relative abundance of nucleic acid sequences in the target. Since an array can contain tens of thousands of probes, a microarray experiment can accomplish many genetic tests in parallel.

Page 16: 12 arrays

Colloquially known as an Affy chip when an Affymetrix chip is used. Other microarray platforms, such as Illumina, use microscopic beads, instead of the large solid support.

AffymetrixAgilent TechnologiesAppliedCombiMatrixEppendorf GE Healthcare Genetix Greiner Bio-One Illumina, Inc. Kreatech Micronit Microfluidics Nanogen, Inc. NimbleGen Ocimum Biosolutions Roche DiagnosticsSCHOTT Nexterion STMicroelectronics

Page 17: 12 arrays

• DNA microarrays can be used to measure changes in gene expression levels, to detect single nucleotide polymorphisms (SNPs) , to genotype or resequence mutant genomes.

Page 18: 12 arrays

Step 1: Create a DNA array (gene “chip”) by placing single-stranded DNA/ Oligonucleotides for each gene to be assayed into a separate “well” on the chip.

Page 19: 12 arrays

cDNAgene 1

cDNAgene 2

cDNAgene 3

cDNAgene 4

cDNAgene 5

DNA Array: Single-stranded copy DNA Oligonucleotides for each gene in a different well.

Page 20: 12 arrays

Step 2: Extract mRNA from biological tissues subjected to an experimental treatment and from the same tissue subjected to a control treatment. Or from normal and from pathological

tissue

Page 21: 12 arrays

• Step 3- Make single-stranded DNA from the mRNA using “color coded” nucleotides.

Page 22: 12 arrays

Extract mRNA from Control Cells

Extract mRNA from Experimental/pathological Cells

Make single-stranded cDNA

using green nucleotides (e.g. Quantum dots)

Make single-stranded cDNA

using red nucleotides (e.g. Quantum dots)

cDNA = complementary DNA (DNA synthesized from RNA)

Page 23: 12 arrays

Step 4: After making many DNA copies of the RNA, extract an equal amount of cDNA from the controls & experimentals and place it into a

container.

Page 24: 12 arrays

Control cDNA Experimental cDNA

Page 25: 12 arrays

Step 5: Extract a smallamount in a pipette.

Page 26: 12 arrays

Step 6: Insert into first well.

Page 27: 12 arrays

… insert intosecond well, etc.

Step 7: Extractmore cDNA and …

Page 28: 12 arrays

Step 8: Continue until all wells arefilled.

Page 29: 12 arrays

Step 9: Allow to hybridize, then wash away all single-stranded DNA.

Page 30: 12 arrays

Result:(1) Some wells have no color-coded cDNA (no mRNA in either type of cell)(2) Some wells have only red (i.e., expressed only in experimental cells)(3) Some wells have only green (i.e., expressed only in control cells)(4) Some wells have both red and green in various mixtures (expressed

in both experimental and control cells)

Page 31: 12 arrays

Step 10: Scan with a laser set to detect the color & process results on

computer.

Page 32: 12 arrays

Results: The colors denote the degree of expression in the

experimental versus the control cells.

Gene not expressed in control or in experimental

cells

Only incontrol

cells

Mostly incontrol

cells

Only inexperimental

cells

Mostly inexperimental

cells

Same inboth cells

Page 33: 12 arrays
Page 34: 12 arrays

PROTEIN MICROARRAYPROTEIN MICROARRAY

Page 35: 12 arrays

1. High throughput analysis of hundreds of thousands of proteins.

2. Proteins are immobilized on glass chip.

3. Various probes (protein, lipids, DNA, peptides, etc) are used.

Part1

Protein Microarray

Page 36: 12 arrays

Protein Array VS DNA Microarray

Target: Proteins DNA(Big, 3D) (Small, 2D)

Binding: 3D affinity 2D seqStability: Low HighSurface: Glass GlassPrinting: Arrayer ArrayerAmplification: Cloning PCR

Page 37: 12 arrays

Protein Array Fabrication

Protein substratesProtein substrates Polyacrylamide or Polyacrylamide or

agarose gelsagarose gels GlassGlass NanowellsNanowells

Proteins deposited Proteins deposited on chip surface by on chip surface by robotsrobots

Benfey & Protopapas, 2005

Page 38: 12 arrays

Protein Attachment

Benfey & Protopapas, 2005

Diffusion Protein suspended in

random orientation, but presumably active

Adsorption/Absorption Some proteins inactive

Covalent attachment Some proteins inactive

Affinity Orientation of protein

precisely controlled

Diffusion

Adsorption/Absorption

Covalent

Affinity

Page 39: 12 arrays

Protein Interactions

Benfey & Protopapas, 2005

Different capture molecules must be used to study different interactions

Examples Antibodies (or antigens) for

detection Proteins for protein-protein

interaction Enzyme-substrate for

biochemical functionReceptor–

ligand

Antigen–antibody

Protein–protein

Aptamers

Enzyme–substrate

Page 40: 12 arrays

Expression Array Probes (antibody) on surface recognize

target proteins.

Identification of expressed proteins from samples.

Typical quantification method for large # of expressed proteins.

Page 41: 12 arrays
Page 42: 12 arrays
Page 43: 12 arrays
Page 44: 12 arrays
Page 45: 12 arrays

Interaction Array Probes (proteins, peptides, lipids) on

surface interact with target proteins.

Identification of protein interactions.

High throughput discovery of interactions.

Page 46: 12 arrays

Functional Array Probes (proteins) on surface react with

target molecules .

Reaction products are detected.

Main goal of proteomics.

Page 47: 12 arrays
Page 48: 12 arrays
Page 49: 12 arrays
Page 50: 12 arrays

Sample PreparationSample Preparation LabeledLabeled

Fluorescent DyeFluorescent Dye Cy3/Cy5 via Cy3/Cy5 via

LysinesLysines PhotochemicalPhotochemical RadioisotopeRadioisotope May interfereMay interfere

Page 51: 12 arrays

UnlabeledUnlabeled Antibody SandwichAntibody Sandwich

22ndnd antibody with label antibody with label incubated on top of incubated on top of samplesample

Surface Plasmon Surface Plasmon resonanceresonance

Measure electromagnetic Measure electromagnetic waveswaves

Angle changes in the Angle changes in the order of 0.1° with 1 nm order of 0.1° with 1 nm film adsorptionfilm adsorption

Needs special equipmentNeeds special equipment DonDon’’t affect protein t affect protein

structurestructure

Page 52: 12 arrays

Detection & Detection & QuantificationQuantification

ScannerScanner Detects dyeDetects dye Adjusts for Adjusts for

backgroundbackground Reference spotsReference spots

Labeled known Labeled known concentrationsconcentrations

Computational Computational AnalysisAnalysis

Page 53: 12 arrays
Page 54: 12 arrays
Page 55: 12 arrays
Page 56: 12 arrays
Page 57: 12 arrays

Technical Challenges in Protein Chips

1. Poor control of immobilized protein activity.

2. Low yield immobilization.

3. High non-specific adsorption.

4. Fast denaturation of Protein.

5. Limited number of labels – low mutiplexing