Transcript Genomatix

Genomatix
Dr. Martin Seifert
Genomatix Software GmbH
Landsberger Strasse 6, D-80339 München
http://www.genomatix.de
© 2004 by Genomatix Software GmbH
Genomatix
What does Genomatix mean by
“understanding gene regulation” ?
Which data/analysis tools
will support my work best?
What data/analysis tools
does Genomatix offer?
How to apply the data & tools to
“understand gene regulation” ?
© 2004 by Genomatix Software GmbH
Genomatix
Understanding Gene Regulation
© 2004 by Genomatix Software GmbH
Genomatix
Overview
Introduction to gene expression
Regulation of gene expression
Gene regulation in a genomic view
© 2004 by Genomatix Software GmbH
Genomatix
Introduction to gene expression
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Introduction to gene expression
Prerequisite for correct cell behaviour
the correct genes…
…are expressed in
the correct cell…
…over correct time intervalls…
…at correct levels.
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Introduction to gene expression
What if…
the correct genes…
“gene loss”
“additional gene”
…are expressed in
the correct cell…
“wrong time intervall”
…over correct time intervalls…
“overexpression”
…at correct levels.
© 2004 by Genomatix Software GmbH
Genomatix
Introduction to gene expression
Summary
Correct cell behavior requires expression of…
correct set of genes
in time
at the correct level
tough logistic task !
© 2004 by Genomatix Software GmbH
Genomatix
Overview
Introduction to gene expression
Regulation of gene expression
Gene regulation in a genomic view
© 2004 by Genomatix Software GmbH
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Regulation of gene expression
Schematic organization of a gene - GLOSSARY
First exon
DNA
Promoter
Coding exons
Non-coding exon
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Regulation of gene expression
Gene expression steps
Translation
Transcription
Epigenetics
Genomic sequence
G-ppp-
Primary transcript
Mature mRNA
Protein
Chromatin activation
Processed
protein
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Regulation of gene expression
Gene regulation – Transcription regulation
binding
Protein complex
Regulatory network
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Regulation of gene expression
Example: Diabetes (MODY)
Insulin
binding
Protein complex
Regulatory network
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Regulation of gene expression
Key – lock principle
Protein complex
binding
„DNA-looping“
distal promoter/
enhancer
TF binding sites
TF binding
sites
TBP
TATA
proximal
promoter
TFIIB
TFIIE
TFIIA
TFIIF
TFIID
TFIIH
core
promoter
IN
R
RNA polymerase II
Transcription factor binding sites
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Regulation of gene expression
Dependencies in expression regulation
Promoter of Gene A
Protein
Gene X
Gene Y
Gene Z
Gene T
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Regulation of gene expression
One lock – different keys
TBP
TATA
TFIIB TFIIE
TFIIA
TFIIFTFIID
TFIIH
TBP
TATA
TFIIB TFIIE
TFIIA
TFIIFTFIID
TFIIH
IN
R
Same lock – different keys: Same gene - different biological context
© 2004 by Genomatix Software GmbH
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Regulation of gene expression
Promoter logic
One promoter – many transcription factor binding sites (TFBs)
Which combination is functional ?
50 TFBs = 1.125.899.906.842.624 combinations
Need help ?
© 2004 by Genomatix Software GmbH
Genomatix
Regulation of gene expression
Example: Analysis of the RANTES promoter
Fessele, S., Maier, H., Zischek, C., Nelson, P.J., Werner, T. (2002)
Regulatory context is a crucial part of gene function
Trends in Genetics 18, 60-63 (MEDLINE 1181130)
© 2004 by Genomatix Software GmbH
Genomatix
Summary
Understanding gene regulation : understanding transcription regulation
The promoter of a gene is the element to “unlock” gene expression
The key to “unlock” gene expression is a protein complex
Protein complex requires expression of genes -> gene dependencies
Different keys can unlock the same promoter
Promoter analysis: Find all keys (protein complexes) which can unlock.
© 2004 by Genomatix Software GmbH
Genomatix
Overview
Introduction to gene expression
Regulation of gene expression
Gene regulation in a genomic view
© 2004 by Genomatix Software GmbH
Genomatix
Gene regulation in a genomic view
One gene = one promoter ?
Gen A
Gen A
Gen A
Genes can have alternative transcripts with alternative promoters
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Gene regulation in a genomic view
Comparative genomic map of the Glucokinase GCK
Promoterset 1
Pancreatic
promoter
Promoterset 2
Hepatic
promoter
Data from ElDorado
Tanisawa et al., Mol. Endocrinol. 6, 1070-1081, 1992.
© 2004 by Genomatix Software GmbH
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Gene regulation in a genomic view
Mammalian TFs genes are enriched in alternative promoters
All genes
Genes with alternative
transcripts and one
promoter. 17%
Genes with
Alternative transcripts
and alternative promoters. 28%
Transcription factors
TF- genes
with one
promoter.
51%
Genes with one
transcript. 55%
TF- genes with
Alternative transcripts
and alternative promoters. 49%
Data from
ElDorado
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Gene regulation in a genomic view
Pathway oriented expression analysis on microarrays
transcript-specific probes
transcript resolving
expression array
3’-probe
conventional
Expression array
Knowledge of alternative promoters enables transcript-specific probe design
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Genome annotation
Alternative mapping of probes to genes for Affymetrix chips
Laurent Gautier*1 , Morten Møller 2 , Lennart Friis-Hansen 2 and
Steen Knudsen 1
Methods: We investigated how probes found on recent commercial microarrays for human
genes (Affymetrix HG-U133A) were matching a recent curated collection of human
transcripts:the NCBI RefSeq database
Results: In a large number of cases, 36%, the probes matching a reference sequence were
consistent with the grouping of probes by the manufacturer of the chips. For the remaining
cases there were discrepancies and we show how that can affect the analysis of data.
Conclusions: While the probes on Affymetrix arrays remain the same for several years,the biological
knowledge concerning the genomic sequences evolves rapidly. Using up-to-date knowledge can
apparently change the outcome of an analysis.
BMC Bioinformatics. 2004 Aug 14;5(1):111
© 2004 by Genomatix Software GmbH
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Summary
A gene can have alternative promoters and alternative transcripts
Alternative promoter usage can be tissue and context specific
For gene regulation oriented microarray analysis genome annotation
is important
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Genomatix data and tools
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Products
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Overview
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Overview
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BiblioSphere
BiblioSphere
Literature data mining strategy using more than 350.000 quality
Checked gene names, synonyms & Genomatix proprietary
semantic relation concepts
3-D interactive view of gene relationships
Context sensitive disambiguation techniques to minimize the number
of false positive matches.
Search strategy allows not only to find direct gene-gene
co-citations but also yet unknown gene relations via interlinks.
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BiblioSphere
BiblioSphere
Classification of results with biological meaningful filters:
Tissue, Gene Ontology and MeSH
Statistical rating by z-scores for Gene Ontology, MeSH and tissue filters
indicating over and under representation of co-cited genes in the
referring biological categories
Transcription factor analysis of the promoters of co-cited genes
Full interconnection with GEMSLauncher and ElDorado
Literature analysis and evaluation by additional lines of evidences!
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Genomatix
Overview
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ElDorado
ElDorado genome annotation and analysis
Most comprehensive genome annotation for regulatory regions and
transcripts
Comparative genomics to detect and annotate unknown promoter
regions (patent pending)
Integrated promoter annotation by promoter modules, pre-calculated by
GEMS Launcher
Integrated SNP annotation according to effects for gene regulation
and protein level
Full interconnection with GEMSLauncher and BiblioSphere
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Genomatix
Overview
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Genomatix
GEMSLauncher
Genomic sequences, mRNA, cDNA, SNPs
SMARTest
Sequence
Annotation
Analysis
PromterInspector
S/MAR
Promoters
SNPInspector SequenceShaper
Modelling
MatInspector
SMAR
Exon Mapper
Exon/Intron structure
ModellInspector
Models
FrameWorker
FastM
TF Binding sites
Librarys
MatDefine
Modules,
LTR,
Genomic repeat
Experimental results and literature
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Genomatix
Genomatix
Bridging the gap between sequences, literature and experimental results
Genomic sequences, mRNA, cDNA, SNPs
ElDorado
Genome annotation
Understanding
gene regulation
BiblioSphere
Literature mining
Experimenteal results
GEMS Launcher
Sequence analysis
Literature
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Practical Example
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Let’s have a break…
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