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In silico cis -analysis

Date post: 30-Dec-2015
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In silico cis -analysis. promoter analysis Promoters and cis -elements Searching for patterns Searching redundant patterns. What is a promoter?. and why care about it?. AAAAAAAA. CDS. A little about these. cis-elements - Transcription Factors (TF) often bind to them - PowerPoint PPT Presentation
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In silico cis-analysis promoter analysis - Promoters and cis-elements - Searching for patterns - Searching redundant patterns
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Page 1: In silico cis -analysis

In silico cis-analysispromoter analysis

- Promoters and cis-elements

- Searching for patterns

- Searching redundant patterns

Page 2: In silico cis -analysis

What is a promoter?and why care about it?

CDS

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

QuickTime™ and aTIFF (LZW) decompressor

are needed to see this picture.

Page 3: In silico cis -analysis

A little about thesecis-elements

- Transcription Factors (TF) often bind to them

- They are normally from 5-10 bp long

- They are often placed in the region from TSS and upstream

- Often they come in clusters i.e. must be placed in some ‘syntax’ to be functional

- We assume, they are shared by the promoters in a regulon

- They are not always conserved 100%

Page 4: In silico cis -analysis

Sound hard to find?it is hard

Page 5: In silico cis -analysis

Some tricksmakes it possible

Regulon (cluster)

Comparing promoters from a regulon to all other promotersi.e. using a negative set (all other promoters in species X)

This allows us to use hypergeometric statistics

Ranked list of genes

The distribution of sequences with a given pattern along a ranki.e. is the pattern overrepresented in promoters with low (or high)

p-values in a microarray experiment

This allows us to use Kolmogorov-Smirnov

Hypergeometric Statistic

10x5x

Takeout 6 balls

1x5x p=0.04

Kolmogorov-Smirnov, here test for deviations from a uniform distribution of patterns along a sorted list og promoters

Patte

rnO

ccurre

nce

Promoters ranked by e.g. p-value

Page 6: In silico cis -analysis

A cis-elementas it might be seen by a TF

Page 7: In silico cis -analysis

So, the elements maynot always be 100% conserved

If we only had a weight matrice to describe our pattern we could find less conserved patterns

With a Gibbs sampler we can work backwards• We give it promoters and it builds a weight matrix

Motif model (residue frequency x 100):POS A C G T Info1 89 . . . 1.02 . . 92 . 2.03 . . . 94 1.24 . 92 . . 2.05 94 . . . 1.26 94 . . . 1.2

weight matrix

Page 8: In silico cis -analysis

Try it!Find the exercise on the course page

Exercise: in silico cis-analysis

Page 9: In silico cis -analysis

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mRNAs OVEREXPRESSED IN mpk4 MUTANT

Page 10: In silico cis -analysis

Gibbs sample evaluation

TTGACT

Gibbs sampling on 1000 random sampled sets of 17 Arabidopsis promoters, evaluated by information content.

monte carlo

Page 11: In silico cis -analysis

GACTTTTC

Gibbs sample evaluation

Gibbs sampling on 1000 random sampled sets of 17 Arabidopsis promoters, evaluated by information content.

monte carlo

Here for 8bp patterns

Page 12: In silico cis -analysis

Lebel et al. 1998Arabidopsis PR1 promoter


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