DNA methylation and transcription: Difference between revisions
mNo edit summary |
No edit summary |
||
| Line 12: | Line 12: | ||
1. Functional analysis<br>- Predict TFBS (homotypic clusters, composite elements?, conserved sites?) in promoters<br>- Estimate methylation level of each TFBS (may be, only core positions)<br>- Calculate correlation between level of methylation and expression from given promoter for each TFBS<br>- Select promoters and corresponding TFs with highest and lowest cc |
1. Functional analysis<br>- Predict TFBS (homotypic clusters, composite elements?, conserved sites?) in promoters<br>- Estimate methylation level of each TFBS (may be, only core positions)<br>- Calculate correlation between level of methylation and expression from given promoter for each TFBS<br>- Select promoters and corresponding TFs with highest and lowest cc |
||
<br>2. Evolutionary analysis<br>- Predict TFBS (homotypic clusters, composite elements |
<br>2. Evolutionary analysis<br>- Predict TFBS (homotypic clusters, composite elements?) in promoters<br>- For whole set of given TF's binding sites estimate probability of C>T SNP (in CG or in CNG) and of C>T interlineage substitution |
||
'''We have data for functional analysis''': |
'''We have data for functional analysis''': |
||
Revision as of 17:21, 3 March 2011
== DNA methylation affects TF binding and transcription ==
Introduction: It's commonly accepted that DNA methylation of a promoter repress transcription of this gene in normal tissues. Recently, a class of actively expressed genes having relatively methylated promoters has been discovered.
Purpose:
- To explore the idea that DNA methylation affects TFBS, preventing some TF from binding to DNA, and therefore represses transcription.
- To select TFs most likely sensitive to DNA methylation (first, in human, possibly in other species)
We plan to do:
1. Functional analysis
- Predict TFBS (homotypic clusters, composite elements?, conserved sites?) in promoters
- Estimate methylation level of each TFBS (may be, only core positions)
- Calculate correlation between level of methylation and expression from given promoter for each TFBS
- Select promoters and corresponding TFs with highest and lowest cc
2. Evolutionary analysis
- Predict TFBS (homotypic clusters, composite elements?) in promoters
- For whole set of given TF's binding sites estimate probability of C>T SNP (in CG or in CNG) and of C>T interlineage substitution
We have data for functional analysis:
Primary cells:
peripheral blood mononuclear cells PBMC (genome-wide BS-seq + CAGE)
Tissues:
frontal cortex (genome-wide MeDIP-seq) - frontal lobe (CAGE)
We are looking for data: DNA methylation with single bp resolution (genome-wide or covering not less then 1% of genome) in primary cells, tissues or cell lines represented in FANTOM5
Collaboration:
Piotr (you are invited to add your plans of study on influence of TF on methylation)
== TF binding affects DNA methylation ==
Collaborators are very welcome. If you have any ideas how to improve the research, please contact me directly or add your suggestion here.