Download Methods for the Study of Gene Expression

Survey
yes no Was this document useful for you?
   Thank you for your participation!

* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project

Document related concepts

Eukaryotic transcription wikipedia , lookup

Genomic imprinting wikipedia , lookup

MicroRNA wikipedia , lookup

Secreted frizzled-related protein 1 wikipedia , lookup

Genome evolution wikipedia , lookup

RNA interference wikipedia , lookup

Gene desert wikipedia , lookup

Promoter (genetics) wikipedia , lookup

Vectors in gene therapy wikipedia , lookup

Gene therapy of the human retina wikipedia , lookup

Transcriptional regulation wikipedia , lookup

Endogenous retrovirus wikipedia , lookup

Epitranscriptome wikipedia , lookup

RNA silencing wikipedia , lookup

Non-coding RNA wikipedia , lookup

Real-time polymerase chain reaction wikipedia , lookup

Gene regulatory network wikipedia , lookup

Community fingerprinting wikipedia , lookup

Expression vector wikipedia , lookup

Silencer (genetics) wikipedia , lookup

Artificial gene synthesis wikipedia , lookup

Gene expression wikipedia , lookup

Gene expression profiling wikipedia , lookup

RNA-Seq wikipedia , lookup

Transcript
Microarray_Introduction
Methods for the Study of Gene
Expression
Gabriela Salinas-Riester
November 2012
www.microarrays.med.uni-goettingen.de
Transcriptome Analysis Labor
Microarray and Deep Sequencing Core Facility
UMG
Methods for the Study of Gene Expression
Microarray_Introduction
Outline
➢
From genotype to phenotype: the transcriptome
➢
Types of RNAs and their functions
➢
Methods for Study gene expression
➢
Single transcripts
➢
Multiple transcripts simultaneously: NanoString, Microarrays, NGS
➢
What are microarrays and how do they work?
➢
Agilent platform
➢
Experimental Workflow
➢
Sample Quality control
➢
Agilent Microarray Workflow
➢
Data Analysis
Gabriela Salinas-Riester
Methods
for the
Study ofmedicine_2011
Gene Expression 2/22
Linking genome-wide
analysis
to genomic
Microarray_Introduction
Gabriela Salinas-Riester
Linking genome-wide
Methods
analysis
for the
to genomic
Study of medicine_2011
Gene Expression 2/22
Microarray_Introduction
Gabriela Salinas-Riester
Linking genome-wide
Methods
analysis
for the
to genomic
Study of medicine_2011
Gene Expression 2/22
Microarray_Introduction
Types of RNAs and their functions
Long RNAs
Function
mRNA (0.4-10 kb)
Coding genes
lincRNA (>200 bp)
Regulating basal transcription machinery
rRNA (1898-3898 bp)
protein synthesis (28S and 18S)
Small RNAs
Function
snRNA
RNA splicing/Regulation of transcription
snoRNA (60-300 bp)
RNA modification
●
●
C/D box snoRNAs
H/ACA box snoRNAs
miRNA (19-24 bp)
Translational repression, mRNA cleavage
piRNAs (26-31nt) Piwi-interacting RNA
Transposone repression/DNA methylation
tiRNAs (17-18nt) tini RNAs
Associated with TSS in animals
tRNA (73-95 bp)
Translation
rRNA (5.7 S and 5.0 S)
protein synthesis
mt-tRNA
Mitochondrial Translation
siRNA (small interfering RNA)
RNA silencing
gRNA (guide RNA)
RNA editing
TSSa-RNAs (20-90 bp)
Maintenance of transcription?
Methods for the Study of Gene Expression
Microarray_Introduction
Methods for the Study of Gene Expression
PCR
1986
Northern Blot
Microarrays
2000
RPA
qRT-PCR
1953
NGS 2008
Single Transcripts:
●
Northern blot
●
RNAse protection assay
●
Reverse Transcription (RT)-PCR
●
Real-time PCR (qPCR)
●
In-situ-hybridization
Multiple Transcripts Simultaneously:
●
Dot-Blot analysis
●
Differential Display, SAGE
●
Subtractive hybridization (1996)
●
DNA Microarrays (1999)
●
NanoString
●
Second generation Sequencing (NGS)
Methods for the Study of Gene Expression
Microarray_Introduction
Methods for the Study of Gene Expression
●
Northern blot
●
Subtractive hybridization
Methods for the Study of Gene Expression
Microarray_Introduction
What are microarrays and how do they work?
Methods for the Study of Gene Expression
Microarray_Introduction
Agilent Platform
v
Methods for the Study of Gene Expression
Microarray_Introduction
Advantages and Disadvantages of microarray techniques
Advantages:
●
Concurrent detection of thousands of genes
●
Result is a global answer
●
Experiments are fast and easy to perform
●
The technique is cost effective
Disadvantages:
●
Expression differences are relativ
●
Crosshybridization is possible
●
Data has to be validated by other methods (eg. qPCR)
●
Weak expressed genes may not be detected
●
Changes in mRNA expression pattern may not effect protein abundance
Methods for the Study of Gene Expression
Microarray_Introduction
Agilent Microarray Workflow
Day 1
Day 2
Data Analysis
Methods for the Study of Gene Expression
Microarray_Introduction
Experimental Workflow
6.Scan/Image (Raw Data)
1.Sample preparation
v
5.Wash & Stain
Hybridization
2.Quality Control
3.Sample labeling
4.Quality Control
and Amplification
Methods for the Study of Gene Expression
Microarray_Introduction
Sample Quality Control
Total RNA
acRNA
NanoChip (Agilent)
Fragmented
acRNA
Methods for the Study of Gene Expression
Microarray_Introduction
Bioinformatics
➢
The bioinformatic analysis include:
➢
Overview of image processing
➢
Logarithmic transformation
➢
Data Normalization
➢
Data Reduction
➢
Hierarchical Clustering
➢
Principal Component Analysis (PCA)
➢
Statistical Analysis
➢
List of candidates
➢
Data Visualization (Heatmaps)
Methods for the Study of Gene Expression
Microarray_Introduction
Data Normalization
Methods for the Study of Gene Expression
Microarray_Introduction
Hierarchical Clustering
Methods for the Study of Gene Expression
Microarray_Introduction
Principal Component Analysis
Methods for the Study of Gene Expression
Microarray_Introduction
Heat Map Analysis for a specific pathway
Methods for the Study of Gene Expression