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transcription factor regulation inferred from integrating genome-wide ChIP-X experiments. database: website [4] CIS-BP collection of transcription factor binding sites models inferred by binding domains. database: website [5] CistromeMap a knowledgebase and web server for ChIP-Seq and DNase-Seq studies in mouse and human. database: website [6 ...
Chromatin Immunoprecipitation sequencing, also known as ChIP-seq, is an experimental technique used to identify transcription factor binding events throughout an entire genome. Knowing how the proteins in the human body interact with DNA to regulate gene expression is a key component of our knowledge of human diseases and biological processes.
DNA binding sites can be categorized according to their biological function. Thus, we can distinguish between transcription factor-binding sites, restriction sites and recombination sites. Some authors have proposed that binding sites could also be classified according to their most convenient mode of representation. [3]
TRANSFAC (TRANScription FACtor database) is a manually curated database of eukaryotic transcription factors, their genomic binding sites and DNA binding profiles. The contents of the database can be used to predict potential transcription factor binding sites.
Compared to ChIP-chip, ChIP-seq data can be used to locate the binding site within few tens of base pairs of the actual protein binding site. Tag densities at the binding sites are a good indicator of protein–DNA binding affinity, [14] which makes it easier to quantify and compare binding affinities of a protein to different DNA sites. [15]
The DNA template labeled at the 3' or 5' end, depending on the location of the binding site(s). Labels that can be used are: radioactivity and fluorescence.Radioactivity has been traditionally used to label DNA fragments for footprinting analysis, as the method was originally developed from the Maxam-Gilbert chemical sequencing technique.
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The DNA binding sites of 519 transcription factors were evaluated. [50] Of these, 169 transcription factors (33%) did not have CpG dinucleotides in their binding sites, and 33 transcription factors (6%) could bind to a CpG-containing motif but did not display a preference for a binding site with either a methylated or unmethylated CpG.