Abstract
Transcriptional regulation of gene expression constitutes a fundamental mechanism of many developmental processes. Therefore, identification and characterization of binding sites of transcription factors are important for uncovering the mechanisms of a particular developmental process. Here, we describe detailed procedures for genome-wide analysis of binding sites of a transcription factor involved in the fiber-type differentiation of skeletal muscle. By conducting ChIP-seq followed by a series of downstream analyses, in-depth information on binding sites of transcription factors can be obtained in a genome-wide manner.
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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
Ren B, Robert F, Wyrick JJ, Aparicio O, Jennings EG, Simon I et al (2000) Genome-wide location and function of DNA binding proteins. Science 290:2306–2309
Johnson DS, Mortazavi A, Myers RM, Wold B (2007) Genome-wide mapping of in vivo protein-DNA interactions. Science 316:1497–1502
Hurd PJ, Nelson CJ (2009) Advantages of next-generation sequencing versus the microarray in epigenetic research. Brief Funct Genomic Proteomic 8:174–183
Park PJ (2009) ChIP-seq: advantages and challenges of a maturing technology. Nat Rev Genet 10:669–680
Chen Y, Negre N, Li Q, Mieczkowska JO, Slattery M, Liu T et al (2012) Systematic evaluation of factors influencing ChIP-seq fidelity. Nat Methods 9:609–614
Rhee HS, Pugh BF (2011) Comprehensive genome-wide protein-DNA interactions detected at single-nucleotide resolution. Cell 147:1408–1419
An CI, Dong Y, Hagiwara N (2011) Genome-wide mapping of Sox6 binding sites in skeletal muscle reveals both direct and indirect regulation of muscle terminal differentiation by Sox6. BMC Dev Biol 11:59
Bowles J, Schepers G, Koopman P (2000) Phylogeny of the SOX family of developmental transcription factors based on sequence and structural indicators. Dev Biol 227:239–255
Hagiwara N (2011) Sox6, jack of all trades: a versatile regulatory protein in vertebrate development. Dev Dyn 240:1311–1321
Kamachi Y, Uchikawa M, Kondoh H (2000) Pairing SOX off: with partners in the regulation of embryonic development. Trends Genet 16:182–187
Wegner M (1999) From head to toes: the multiple facets of Sox proteins. Nucleic Acids Res 27:1409–1420
Hagiwara N, Yeh M, Liu A (2007) Sox6 is required for normal fiber type differentiation of fetal skeletal muscle in mice. Dev Dyn 236:2062–2076
Hagiwara N, Ma B, Ly A (2005) Slow and fast fiber isoform gene expression is systematically altered in skeletal muscle of the Sox6 mutant, p100H. Dev Dyn 234:301–311
Cauchy P, Benoukraf T, Ferrier P (2011) Processing ChIP-chip data: from the scanner to the browser. Methods Mol Biol 719:251–268
Gobel U, Reimer J, Turck F (2010) Genome-wide mapping of protein-DNA interaction by chromatin immunoprecipitation and DNA microarray hybridization (ChIP-chip). Part B: ChIP-chip data analysis. Methods Mol Biol 631:161–184
Reimer JJ, Turck F (2010) Genome-wide mapping of protein-DNA interaction by chromatin immunoprecipitation and DNA microarray hybridization (ChIP-chip). Part A: ChIP-chip molecular methods. Methods Mol Biol 631:139–160
Spiro S (2012) Genome-wide mapping of the binding sites of proteins that interact with DNA. Methods Mol Biol 881:137–156
Langmead B, Trapnell C, Pop M, Salzberg SL (2009) Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol 10:R25
Mortazavi A, Williams BA, McCue K, Schaeffer L, Wold B (2008) Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat Methods 5:621–628
Kent WJ, Sugnet CW, Furey TS, Roskin KM, Pringle TH, Zahler AM, Haussler D (2002) The human genome browser at UCSC. Genome Res 12:996–1006
Jothi R, Cuddapah S, Barski A, Cui K, Zhao K (2008) Genome-wide identification of in vivo protein-DNA binding sites from ChIP-Seq data. Nucleic Acids Res 36:5221–5231
Narlikar L, Jothi R (2012) ChIP-Seq data analysis: identification of protein-DNA binding sites with SISSRs peak-finder. Methods Mol Biol 802:305–322
Blahnik KR, Dou L, O’Geen H, McPhillips T, Xu X, Cao AR et al (2010) Sole-Search: an integrated analysis program for peak detection and functional annotation using ChIP-seq data. Nucleic Acids Res 38:e13
Salmon-Divon M, Dvinge H, Tammoja K, Bertone P et al (2010) PeakAnalyzer: genome-wide annotation of chromatin binding and modification loci. BMC Bioinformatics 11:415
Bailey TL, Elkan C (1994) Fitting a mixture model by expectation maximization to discover motifs in biopolymers. Proc Int Conf Intell Syst Mol Biol 2:28–36
Schmidt D, Wilson MD, Spyrou C, Brown GD, Hadfield J, Odom DT et al (2009) ChIP-seq: using high-throughput sequencing to discover protein-DNA interactions. Methods 48:240–248
Quail MA, Kozarewa I, Smith F, Scally A, Stephens PJ, Durbin R et al (2008) A large genome center’s improvements to the Illumina sequencing system. Nat Methods 5:1005–1010
Nowak DE, Tian B, Brasier AR (2005) Two-step cross-linking method for identification of NF-kappaB gene network by chromatin immunoprecipitation. Biotechniques 39:715–725
Acknowledgments
We thank Mr. Adam Jenkins for helpful discussions and Dr. Charles Nicolet at the DNA Technologies and Expression Analysis Core Facilities of the UC Davis Genome Center for assistance with the ChIP-seq experiments. This work was supported by Expression Analysis Core Seed Grant, Muscular Dystrophy Association (MDA 4135), and the National Institutes of Health (AR055209) (to N.H.).
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An, CI., Hagiwara, N. (2013). Genome-Wide Analysis of Transcription Factor-Binding Sites in Skeletal Muscle Cells Using ChIP-Seq. In: Lee, TL., Shui Luk, A. (eds) Tiling Arrays. Methods in Molecular Biology, vol 1067. Humana Press, Totowa, NJ. https://doi.org/10.1007/978-1-62703-607-8_4
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DOI: https://doi.org/10.1007/978-1-62703-607-8_4
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