Literature DB >> 18839356

Identification of transcription factor-DNA interactions using chromatin immunoprecipitation assays.

Liping Nie1, Ana E Vázquez, Ebenezer N Yamoah.   

Abstract

Expression of almost every gene is regulated at the transcription level. Therefore, transcriptional factor Transcription factors, consequently, have marked effects on the fate of a cell by establishing the gene expression patterns that determine biological processes. In the auditory and vestibular systems, transcription factors have been found to be responsible for development, cell growth, and apoptosis. It is vital to identify the transcription factor target genes and the mechanisms by which transcription factors control and guide gene expression and regulation pathways. Compared with earlier methods devised to study transcription factor-DNA interactions, the advantage of the chromatin immunoprecipitation (ChIP) assay is that the interaction of a transcription factor with its target genes is captured in the native context of chromatin in living cells. Therefore, ChIP base assays are powerful tools to identify the direct interaction of transcription factors and their target genes in vivo. More importantly, ChIP assays have been used in combination with molecular biology techniques, such as PCR and real time PCR, gene cloning, and DNA microarrays, to determine the interaction of transcription factor-DNA from a few potential individual targets to genome-wide surveys.

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Year:  2009        PMID: 18839356      PMCID: PMC2822710          DOI: 10.1007/978-1-59745-523-7_19

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  11 in total

1.  Genome-wide location and function of DNA binding proteins.

Authors:  B Ren; F Robert; J J Wyrick; O Aparicio; E G Jennings; I Simon; J Zeitlinger; J Schreiber; N Hannett; E Kanin; T L Volkert; C J Wilson; S P Bell; R A Young
Journal:  Science       Date:  2000-12-22       Impact factor: 47.728

2.  Use of chromatin immunoprecipitation to clone novel E2F target promoters.

Authors:  A S Weinmann; S M Bartley; T Zhang; M Q Zhang; P J Farnham
Journal:  Mol Cell Biol       Date:  2001-10       Impact factor: 4.272

3.  Control of pancreas and liver gene expression by HNF transcription factors.

Authors:  Duncan T Odom; Nora Zizlsperger; D Benjamin Gordon; George W Bell; Nicola J Rinaldi; Heather L Murray; Tom L Volkert; Jörg Schreiber; P Alexander Rolfe; David K Gifford; Ernest Fraenkel; Graeme I Bell; Richard A Young
Journal:  Science       Date:  2004-02-27       Impact factor: 47.728

Review 4.  ChIP-chip: considerations for the design, analysis, and application of genome-wide chromatin immunoprecipitation experiments.

Authors:  Michael J Buck; Jason D Lieb
Journal:  Genomics       Date:  2004-03       Impact factor: 5.736

Review 5.  Genomic studies of transcription factor-DNA interactions.

Authors:  Devanjan Sikder; Thomas Kodadek
Journal:  Curr Opin Chem Biol       Date:  2005-02       Impact factor: 8.822

Review 6.  Chromatin immunoprecipitation assay.

Authors:  Partha M Das; Kavitha Ramachandran; Jane vanWert; Rakesh Singal
Journal:  Biotechniques       Date:  2004-12       Impact factor: 1.993

Review 7.  Locating mammalian transcription factor binding sites: a survey of computational and experimental techniques.

Authors:  Laura Elnitski; Victor X Jin; Peggy J Farnham; Steven J M Jones
Journal:  Genome Res       Date:  2006-10-19       Impact factor: 9.043

8.  Isolating human transcription factor targets by coupling chromatin immunoprecipitation and CpG island microarray analysis.

Authors:  Amy S Weinmann; Pearlly S Yan; Matthew J Oberley; Tim Hui-Ming Huang; Peggy J Farnham
Journal:  Genes Dev       Date:  2002-01-15       Impact factor: 11.361

9.  Identification of unknown target genes of human transcription factors using chromatin immunoprecipitation.

Authors:  Amy S Weinmann; Peggy J Farnham
Journal:  Methods       Date:  2002-01       Impact factor: 3.608

10.  Transcriptional regulatory networks in Saccharomyces cerevisiae.

Authors:  Tong Ihn Lee; Nicola J Rinaldi; François Robert; Duncan T Odom; Ziv Bar-Joseph; Georg K Gerber; Nancy M Hannett; Christopher T Harbison; Craig M Thompson; Itamar Simon; Julia Zeitlinger; Ezra G Jennings; Heather L Murray; D Benjamin Gordon; Bing Ren; John J Wyrick; Jean-Bosco Tagne; Thomas L Volkert; Ernest Fraenkel; David K Gifford; Richard A Young
Journal:  Science       Date:  2002-10-25       Impact factor: 47.728

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Journal:  Circulation       Date:  2009-09-14       Impact factor: 29.690

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Authors:  Young-Ae Kim; Mi-Young Kim; Hye Yon Yu; Siddhartha Kumar Mishra; Jae-Hyeok Lee; Kyeong Sook Choi; Jae-Ho Kim; Yang Kevin Xiang; Yi-Sook Jung
Journal:  J Mol Med (Berl)       Date:  2013-08-16       Impact factor: 4.599

3.  C57BL/6J mice as a polygenic developmental model of diet-induced obesity.

Authors:  Dinh-Toi Chu; Elzbieta Malinowska; Magdalena Jura; Leslie P Kozak
Journal:  Physiol Rep       Date:  2017-04
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