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Comparison of reprogramming factor targets reveals both species-specific and conserved mechanisms in early iPSC reprogramming
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OCT4-SOX2 binding increases KLF4 binding by several folds, mostly in chromatin regions that are closed in human fibroblasts.
“Co-immunoprecipitation and chromatin immunoprecipitation followed by sequencing studies reveal that OCT4-SOX2 binding increases KLF4 binding by several folds, mostly in chromatin regions that are closed in human fibroblasts 41,53,54 .”
From Mechanisms, pathways and strategies for rejuvenation through epigenetic reprogramming (2023) · cites this paper as [41]
The Results section on general OSKM binding reports that OCT4, SOX2 and KLF4 co-bind more often than expected. The Results section on starting-cell chromatin states reports that about 40–50% of their human binding peaks lie in low-signal regions. Neither passage shows that OCT4–SOX2 binding causes a several-fold increase in KLF4 binding, or that this increase occurs mostly in closed chromatin. (LLM, conf=0.84)
Experimental — accuracy not yet measuredOCT4 directly binds enhancers of Polycomb group-repressed genes to induce conversion of their associated promoters from monovalent to bivalent domains.
“Second, OCT4 directly binds enhancers of Polycomb group-repressed genes, which modify histones and silence target genes, to induce conversion of their associated promoters from monovalent to bivalent domains 40,41 .”
From Mechanisms, pathways and strategies for rejuvenation through epigenetic reprogramming (2023) · cites this paper as [41]
The Results section on syntenic conserved peaks reports OCT4 binding peaks in enhancer regions and a higher proportion of those peaks in bivalent promoters. It does not identify those enhancers as belonging to Polycomb-repressed genes or show that OCT4 binding converts associated promoters from monovalent to bivalent domains. Page numbers are unavailable in our copy. (LLM, conf=0.84)
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A Molecular Roadmap of Reprogramming Somatic Cells into iPS Cells
Polo, J. M., Anderssen, E., Walsh, R. M., Schwarz, B. A., Nefzger, C. M., Lim, S. M., Borkent, M., Apostolou, E., Alaei, S., Cloutier, J., et al. (2012) · Cell · doi:10.1016/j.cell.2012.11.039 · Cited by 861
Pioneer Transcription Factors Target Partial DNA Motifs on Nucleosomes to Initiate Reprogramming
Soufi, A., Garcia, M. F., Jaroszewicz, A., Osman, N., Pellegrini, M., & Zaret, K. S. (2015) · Cell · doi:10.1016/j.cell.2015.03.017 · Cited by 780
Self-citationCooperative Binding of Transcription Factors Orchestrates Reprogramming
Chronis, C., Fiziev, P., Papp, B., Butz, S., Bonora, G., Sabri, S., Ernst, J., & Plath, K. (2017) · Cell · doi:10.1016/j.cell.2016.12.016 · Cited by 555
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Research works printed but not linked: 30
- Takahashi K, Yamanaka S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell. 2006;126:663–76. · DOI · Paper page
- Takahashi K, Tanabe K, Ohnuki M, Narita M, Ichisaka T, Tomoda K, Yamanaka S. Induction of pluripotent stem cells from adult human fibroblasts by defined factors. Cell. 2007;131:861–72. · DOI · Paper page
- Hirschi KK, Li S, Roy K. Induced pluripotent stem cells for regenerative medicine. Annu Rev Biomed Eng. 2014;16:277–94. · DOI
- Singh VK, Kalsan M, Kumar N, Saini A, Chandra R. Induced pluripotent stem cells: applications in regenerative medicine, disease modeling, and drug discovery. Front Cell Dev Biol. 2015;3:2. · DOI
- Takahashi K, Yamanaka S. A decade of transcription factor-mediated reprogramming to pluripotency. Nat Rev Mol Cell Biol. 2016;17:183–93. · DOI
- Yamanaka S. Induced pluripotent stem cells: past, present, and future. Cell Stem Cell. 2012;10:678–84. · DOI
- Malik N, Rao MS. A review of the methods for human iPSC derivation. Methods Mol Biol. 2013;997:23–33. · DOI
- Soufi A, Donahue G, Zaret KS. Facilitators and impediments of the pluripotency reprogramming factors' initial engagement with the genome. Cell. 2012;151:994–1004. · DOI · Paper page
- Liu LL, Brumbaugh J, Bar-Nur O, Smith Z, Stadtfeld M, Meissner A, Hochedlinger K, Michor F. Probabilistic modeling of reprogramming to induced pluripotent stem cells. Cell Rep. 2016;17:3395–406. · DOI
- Koche RP, Smith ZD, Adli M, Gu H, Ku M, Gnirke A, Bernstein BE, Meissner A. Reprogramming factor expression initiates widespread targeted chromatin remodeling. Cell Stem Cell. 2011;8:96–105. · DOI · Paper page
- Nichols J, Smith A. Naive and primed pluripotent states. Cell Stem Cell. 2009;4:487–92. · DOI
- Ho R, Papp B, Hoffman JA, Merrill BJ, Plath K. Stage-specific regulation of reprogramming to induced pluripotent stem cells by Wnt signaling and T cell factor proteins. Cell Rep. 2013;3:2113–26. · DOI
- Mahony S, Benos PV. STAMP: a web tool for exploring DNA-binding motif similarities. Nucleic Acids Res. 2007;35(Web Server):W253–8. · DOI
- Mathelier A, Zhao X, Zhang AW, Parcy F, Worsley-Hunt R, Arenillas DJ, Buchman S, Chen C-Y, Chou A, Ienasescu H, Lim J, Shyr C, Tan G, Zhou M, Lenhard B, Sandelin A, Wasserman WW. JASPAR 2014: an extensively expanded and updated open-access database of transcription factor binding profiles. Nucleic Acids Res. 2014;42(Database issue):D142–7. · DOI
- Roadmap Epigenomics Consortium, Kundaje A, Meuleman W, Ernst J, Bilenky M, Yen A, Heravi-Moussavi A, Kheradpour P, Zhang Z, Wang J, Ziller MJ, Amin V, Whitaker JW, Schultz MD, Ward LD, Sarkar A, Quon G, Sandstrom RS, Eaton ML, Wu Y-C, Pfenning AR, Wang X, Claussnitzer M, Liu Y, Coarfa C, Harris RA, Shoresh N, Epstein CB, Gjoneska E, Leung D, et al. integrative analysis of 111 reference human epigenomes. Nature. 2015;518:317–30. · DOI · Paper page
- Ernst J, Kellis M. ChromHMM: automating chromatin-state discovery and characterization. Nat Methods. 2012;9:215–6. · DOI
- Cheng Y, Ma Z, Kim B-H, Wu W, Cayting P, Boyle AP, Sundaram V, Xing X, Dogan N, Li J, Euskirchen G, Lin S, Lin Y, Visel A, Kawli T, Yang X, Patacsil D, Keller CA, Giardine B, Mouse ENCODE consortium, Kundaje A, Wang T, Pennacchio LA, Weng Z, Hardison RC, Snyder MP. principles of regulatory information conservation between mouse and human. Nature. 2014;515:371–5. · DOI
- Schmidt D, Wilson MD, Ballester B, Schwalie PC, Brown GD, Marshall A, Kutter C, Watt S, Martinez-Jimenez CP, Mackay S, Talianidis I, Flicek P, Odom DT. Five-vertebrate ChIP-seq reveals the evolutionary dynamics of transcription factor binding. Science. 2010;328:1036–40. · DOI · Paper page
- Sundaram V, Cheng Y, Ma Z, Li D, Xing X, Edge P, Snyder MP, Wang T. Widespread contribution of transposable elements to the innovation of gene regulatory networks. Genome Res. 2014;24:gr.168872.113–1976. · DOI
- Kunarso G, Chia N-Y, Jeyakani J, Hwang C, Lu X, Chan Y-S, Ng H-H, Bourque G. Transposable elements have rewired the core regulatory network of human embryonic stem cells. Nat Genet. 2010;42:631–4. · DOI
- McLean CY, Bristor D, Hiller M, Clarke SL, Schaar BT, Lowe CB, Wenger AM, Bejerano G. GREAT improves functional interpretation of cis-regulatory regions. Nat Biotechnol. 2010;28:495–501. · DOI · Paper page
- Thomson JA, Itskovitz-Eldor J, Shapiro SS, Waknitz MA, Swiergiel JJ, Marshall VS, Jones JM. Embryonic stem cell lines derived from human blastocysts. Science. 1998;282:1145–7. · DOI
- Lerou PH, Yabuuchi A, Huo H, Miller JD, Boyer LF, Schlaeger TM, Daley GQ. Derivation and maintenance of human embryonic stem cells from poor-quality in vitro fertilization embryos. Nat Protoc. 2008;3:923–33. · DOI
- Hockemeyer D, Soldner F, Cook EG, Gao Q, Mitalipova M, Jaenisch R. A drug-inducible system for direct reprogramming of human somatic cells to pluripotency. Cell Stem Cell. 2008;3:346–53. · DOI
- Park I-H, Zhao R, West JA, Yabuuchi A, Huo H, Ince TA, Lerou PH, Lensch MW, Daley GQ. Reprogramming of human somatic cells to pluripotency with defined factors. Nature. 2008;451:141–6. · DOI · Paper page
- Langmead B, Trapnell C, Pop M, Salzberg SL. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 2009;10:R25. · DOI · Paper page
- Zhang Y, Liu T, Meyer CA, Eeckhoute J, Johnson DS, Bernstein BE, Nusbaum C, Myers RM, Brown M, Li W, Liu XS. Model-based analysis of ChIP-Seq (MACS). Genome Biol. 2008;9:R137. · DOI · Paper page
- Machanick P, Bailey TL. MEME-ChIP: motif analysis of large DNA datasets. Bioinformatics. 2011;27:1696–7. · DOI
- Quinlan AR, Hall IM. BEDTools: a flexible suite of utilities for comparing genomic features. Bioinformatics. 2010;26:841–2. · DOI · Paper page
- Denas O, Sandstrom R, Cheng Y, Beal K, Herrero J, Hardison RC, Taylor J. Genome-wide comparative analysis reveals human-mouse regulatory landscape and evolution. BMC Genomics. 2015;16:87. · DOI
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Mechanisms, pathways and strategies for rejuvenation through epigenetic reprogramming
Cipriano, A., Moqri, M., Maybury-Lewis, S. Y., Rogers-Hammond, R., de Jong, T. A., Parker, A., Rasouli, S., Schöler, H. R., Sinclair, D. A., & Sebastiano, V. (2023) · Nature Aging · doi:10.1038/s43587-023-00539-2 · Cited by 66
Metadata
- Authors
- Fu, K., Chronis, C., Soufi, A., Bonora, G., Edwards, M., Smale, S. T., Zaret, K. S., Plath, K., & Pellegrini, M.
- Venue
- BMC Genomics
- Published
- 2018-12
- Volume
- 19
- Issue
- 1
- ISSN
- 1471-2164
- PMC
- PMC6303873
- Cited by
- 23
- References
- 3
- Language
- en
- Funders
- National Institutes of Health (5P01GM099134)
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