Genomics

Dataset Information

0

Ludwig Institute/UCSD ENCODE project June 2007 Release


ABSTRACT: The readout of genome information is controlled by transcriptional regulatory elements, but a comprehensive view of the combinatorial control by these DNA sequences, which bind regulatory protein and/or the modified histones in regulating gene transcription, is clearly preliminary. We have developed an experimental strategy for comprehensive determination of such functional elements in human DNA. This strategy involves the application of genome-wide location analysis, also known as ChIP-chip, to a panel of well-characterized regulatory proteins and histones with specific modifications, known to generally associate with transcriptional regulatory elements in vivo. Identification of their genomic binding sites will allow us to determine the sequence features in the human genome that carry out transcriptional regulatory function. We have designed and produced DNA microarrays to represent all the non-repetitive sequences in the 30 million basepair ENCODE regions of the human genome to map various types of transcriptional regulatory elements in three model cell types. We have identified promoters by mapping the genomic sequences associated with RNA polymerase II and the general transcription factor TFIID in cells, enhancer elements by mapping the genomic sequences associated with transcriptional co-activators and enhancer-specific chromatin modifications, and insulators by mapping the genomic sequences associated with the insulator binding protein CTCF. The raw microarray results are released periodically prior to publication. Keywords: ChIP-chip ENCODE

ORGANISM(S): Homo sapiens

PROVIDER: GSE7872 | GEO | 2007/06/01

REPOSITORIES: GEO

Similar Datasets

2007-01-01 | GSE6292 | GEO
2008-12-01 | GSE8887 | GEO
2007-03-01 | GSE7118 | GEO
2010-06-12 | E-GEOD-7118 | biostudies-arrayexpress
2007-06-01 | E-GEOD-7872 | biostudies-arrayexpress
2010-05-15 | E-GEOD-8887 | biostudies-arrayexpress
2018-05-07 | PXD009216 | Pride
2017-05-30 | MSV000081124 | MassIVE
2022-08-21 | PXD024574 | Pride
2015-05-21 | E-GEOD-61265 | biostudies-arrayexpress