Abstract
Mis-regulation of gene expression due to epigenetic abnormalities has been linked with complex genetic disorders, psychiatric illness, and cancer. In addition, the dynamic epigenetic changes that occur in pluripotent stem cells are believed to impact regulatory networks essential for proper lineage development. Chromatin immunoprecipitation (ChIP) is a technique used to enrich genomic fragments using antibodies against specific chromatin modifications, such as DNA-binding proteins or modified histones. Until recently, many ChIP protocols required large numbers of cells for each immunoprecipitation. This severely limited analysis of rare cell populations or post-mitotic, differentiated cell lines. Here, we describe a low cell number ChIP protocol with next generation sequencing and analysis that has the potential to uncover novel epigenetic regulatory pathways that were previously difficult or impossible to obtain.
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Feinberg AP (2008) Epigenetics at the epicenter of modern medicine. JAMA 299:1345–1350
Bird A (2007) Perceptions of epigenetics. Nature 447:396–398
Hamby ME, Coskun V, Sun YE (2008) Transcriptional regulation of neuronal differentiation: the epigenetic layer of complexity. Biochim Biophys Acta 1779:432–437
Wu H, Sun YE (2006) Epigenetic regulation of stem cell differentiation. Pediatr Res 59:21R–25R
Bird A (2002) DNA methylation patterns and epigenetic memory. Genes Dev 16:6–21
Goldberg AD, Allis CD, Bernstein E (2007) Epigenetics: a landscape takes shape. Cell 128:635–638
Mehler MF (2008) Epigenetics and the nervous system. Ann Neurol 64:602–617
Bernstein BE, Mikkelsen TS, Xie X et al (2006) A bivalent chromatin structure marks key developmental genes in embryonic stem cells. Cell 125:315–326
Takahashi K, Yamanaka S (2006) Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126:663–676
Stadtfeld M, Maherali N, Breault DT et al (2008) Defining molecular cornerstones during fibroblast to iPS cell reprogramming in mouse. Cell Stem Cell 2:230–240
Yamanaka S (2009) A fresh look at iPS cells. Cell 137:13–17
Solomon MJ, Larsen PL, Varshavsky A (1988) Mapping protein-DNA interactions in vivo with formaldehyde: evidence that histone H4 is retained on a highly transcribed gene. Cell 53:937–947
Hebbes TR, Thorne AW, Crane-Robinson C (1988) A direct link between core histone acetylation and transcriptionally active chromatin. EMBO J 7:1395–1402
Kouzarides T (2007) Chromatin modifications and their function. Cell 128:693–705
Ren B, Robert F, Wyrick JJ et al (2000) Genome-wide location and function of DNA binding proteins. Science 290:2306–2309
Lieb JD, Liu X, Botstein D et al (2001) Promoter-specific binding of Rap1 revealed by genome-wide maps of protein-DNA association. Nat Genet 28:327–334
Johnson DS, Mortazavi A, Myers RM et al (2007) Genome-wide mapping of in vivo protein-DNA interactions. Science 316:1497–1502
Robertson G, Hirst M, Bainbridge M et al (2007) Genome-wide profiles of STAT1 DNA association using chromatin immunoprecipitation and massively parallel sequencing. Nat Methods 4:651–657
Barski A, Cuddapah S, Cui K et al (2007) High-resolution profiling of histone methylations in the human genome. Cell 129:823–837
Schones DE, Zhao K (2008) Genome-wide approaches to studying chromatin modifications. Nat Rev Genet 9:179–191
Langmead B, Trapnell C, Pop M et al (2009) Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25
Li H, Handsaker B, Wysoker A et al (2009) The sequence alignment/map format and SAMtools. Bioinformatics 25:2078–2079
Park PJ (2009) ChIP-seq: advantages and challenges of a maturing technology. Nat Rev Genet 10:669–680
Fejes AP, Robertson G, Bilenky M et al (2008) FindPeaks 3.1: a tool for identifying areas of enrichment from massively parallel short-read sequencing technology. Bioinformatics 24:1729–1730
Mangan ME, Williams JM, Kuhn RM et al (2009) The UCSC genome browser: what every molecular biologist should know. In: Ausubel FM et al (eds) Current protocols in molecular biology. Chapter 19, Unit 19 19
Karolchik D, Hinrichs AS, Kent WJ (2011) The UCSC Genome Browser. In: Haines JL et al (eds) Current protocols in human genetics. Chapter 18, Unit18 16
Zhu LJ, Gazin C, Lawson ND et al (2010) ChIPpeakAnno: a Bioconductor package to annotate ChIP-seq and ChIP-chip data. BMC Bioinformatics 11:237
Acknowledgements
This work is supported by grants from NIH (1R21MH085088 and 1RC1CA147187). C.L.R. was an NSF IGERT fellow (DGE 0801620).
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Ricupero, C.L., Swerdel, M.R., Hart, R.P. (2013). Epigenome Analysis of Pluripotent Stem Cells. In: Lakshmipathy, U., Vemuri, M. (eds) Pluripotent Stem Cells. Methods in Molecular Biology, vol 997. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-348-0_16
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DOI: https://doi.org/10.1007/978-1-62703-348-0_16
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