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Genomics I: The Transcriptome RNA Expression RNA Expression Analysis Analysis Determining genomewide Determining genomewide RNA expression levels RNA expression levels
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Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Jan 18, 2018

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Suzanna Greer

Basics of microarrays DNA attached to solid support –Glass, plastic, or nylon RNA is labeled –Usually indirectly Bound DNA is the probe –Labeled RNA is the “target”
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Page 1: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Genomics I:The Transcriptome

RNA Expression AnalysisRNA Expression Analysis

Determining genomewide RNA Determining genomewide RNA expression levelsexpression levels

Page 2: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Genomic analysis of gene expression

• Methods capable of giving a “snapshot” of RNA expression of all genes

• Can be used as diagnostic profile– Example: cancer diagnosis

• Can show how RNA levels change during development, after exposure to stimulus, during cell cycle, etc.

• Provides large amounts of data• Can help us start to understand how whole

systems function

Page 3: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Basics of microarrays

• DNA attached to solid support– Glass, plastic, or nylon

• RNA is labeled– Usually indirectly

• Bound DNA is the probe– Labeled RNA is the

“target”

Page 4: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Cell-cycle regulated genes

• Each gene is a line on the longitudinal axis

• Treatments in different panels

• Cell-cycle stages are color coded at top

• Vertical axis groups genes by stage in which expression peaks

Brown and Botstein, 1999

Alpha cdc15 cdc28 Elu

M/G1

G1

S

G2

M

Page 5: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Analysis of microarray results

• Inherent variability: need for repetition– Biological and technical replicates

• Analysis algorithms– Based on statistical models

• Means of generating hypotheses that need to be tested

Page 6: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

RNA- seq

• High throughput sequencing of cDNAs from biological samples

• Determine abundance of mRNA by representation in sequencing reads

• May detect variants (alternative splicing, specific alleles, etc.)

Page 7: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

The structure of 2’,3’-dideoxynucleotides

Dideoxy Sequencing- The Old Way

Page 8: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

The dideoxy sequencing method

Figure 20-16a

Page 9: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey 07458

Summary of chain termination sequencing

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Comparison of NextGen Sequencing Platforms

Page 12: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Pyrosequencing I (454 Strategy)

• Based on production of pyrophosphate during sequencing reaction

• Each time polymerase adds nucleotide (dNTP) to the growing strand, pyrophosphate (PPi) is released– Amount released equal to number of nucleotides

added

Page 13: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Pyrosequencing II

• To quantitate amount of PPi released:– ATP sulfurylase converts PPi to ATP– ATP used by enzyme luciferase to produce

light from the substrate luciferin• The amount of light produced is directly

proportional to the amount of ATP, which is proportional to the amount of PPi released

Page 14: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Pyrosequencing III

• Sequential addition of each dNTP gives sequence

• Apyrase enzyme used to degrade dNTPs after reaction completed

• Sequence read from amount of light emitted as each dNTP is added

Nucleotide sequence

Nucleotide added

Page 15: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Transcriptome Analysis by Pyrosequencing

•Like SAGE in that portions of each RNA are sequenced; abundance proportional to representation in sequencing•“Micro reaction chambers” formed using emulsion of oil and aqueous phases to separate clones•Sequencing strategy different from standard methodology; allows analysis of thousands of clones on one slide•http://www.pyrosequencing.com/DynPage.aspx?id=7454 •http://www.roche-applied-science.com/publications/multimedia/genome_sequencer/amplicon_07/wbt.htm

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Illumina Solexa Strategy

-YouTube animation

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-Can generate density of 107 clusters/cm2

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SOLiD Sequencing Strategy

ABI site

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Page 23: Genomics I: The Transcriptome RNA Expression Analysis Determining genomewide RNA expression levels.

Ion Torrent Sequencing Strategy

-YouTube animation chemistry

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