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Conservation
and evolution of cis-regulatory regions
The task of identifying transcription factor
binding sites from gene expression is limited by the diversity of
physiological perturbations or tissue samples. Also, in more complex genomes
of mammals, such binding sites may occur very far away from the gene itself.
An alternative approach for identifying functional regulatory elements is to
infer them from non-coding DNA-sequence conservation between closely related
species. In this, so called, phylogenetic footprinting, functional binding
sites are inferred from blocks of conserved sequences within global alignments
of regulatory regions. However, global alignments are problematic when the
positions of regulatory elements within functionally conserved promoter
regions have been shuffled, for example through genomic reduction and
rearrangements. We are developing non-alignment based comparative genomic
strategies for identifying transcriptional and post-transcriptional regulatory
elements in the genomes of flies, worms, and mammals. We have found these
methods to be extremely powerful at identifying known elements using only
pairs of genomes. We are currently using such methods to extract higher-order
cis-regulatory modules composed of specific configuration of multiple
transcription factor binding sites. The large number of sequenced genomes
allows us to study the evolutionary dynamics of these regulatory elements both
within and between species.
Related publications:
Coupling of zygotic transcription to
mitotic control at the Drosophila mid-blastula transition.
Development. 2009 Jun;136(12):2101-10.
Lu X, Li JM, Elemento O, Tavazoie S, Wieschaus EF.
let-7
Overexpression leads to an increased fraction of cells in G2/M, direct
down-regulation of Cdc34, and stabilization of Wee1 kinase in primary
fibroblasts.
J Biol Chem. 2009 Mar 13;284(11):6605-9. Epub 2009 Jan 6.
Legesse-Miller A, Elemento O, Pfau SJ, Forman JJ, Tavazoie S, Coller HA.
A
universal framework for regulatory element discovery across all genomes and
data-types.
Molecular Cell
(2007) 28(2):337-50
Elemento O., Slonim, N. and
Tavazoie, S.
Fastcompare: A non-alignment approach for
genome-scale discovery of DNA and mRNA regulatory elements using network-level
conservation
Methods in Mol. Biol., Comparative Genomics,
2007
Elemento.
O. and Tavazoie, S.
Revealing posttranscriptional regulatory elements through
network-level conservation.
PLoS Computational Biology
2005 Dec; 1(7): e69 Epub 2005 Dec. 9.
Chan, S., Elemento,
O. and Tavazoie, S.
Fast and systematic genome-wide discovery of conserved
regulatory elements using a non-alignment based approach.
Genome Biology
(2005) 6(2):R18. Epub 2005 Jan 26.
Elemento, O. and
Tavazoie S.
Whole-genome discovery of transcription factor binding sites by
network-level conservation.
Genome Research
2004 Jan; 14(1):99-108.
Pritsker, M., Liu,
Y., Beer, M. and Tavazoie, S.
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