Cited by 197

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Genome-wide characterization of the routes to pluripotency

Hussein, Samer M. I., Puri, Mira C., Tonge, Peter D., Benevento, Marco, Corso, Andrew J., Clancy, Jennifer L., Mosbergen, Rowland, Li, Mira, Lee, Dong-Sung, Cloonan, Nicole, Wood, David L. A., Munoz, Javier, Middleton, Robert, Korn, Othmar, Patel, Hardip R., White, Carl A., Shin, Jong-Yeon, Gauthier, Maely E., Cao, Kim-Anh Lê, Kim, Jong-Il, Mar, Jessica C., Shakiba, Nika, Ritchie, William, Rasko, John E. J., Grimmond, Sean M., Zandstra, Peter W., Wells, Christine A., Preiss, Thomas, Seo, Jeong-Sun, Heck, Albert J. R., Rogers, Ian M., Nagy, Andras·2014·Nature

Abstract

Somatic cell reprogramming to a pluripotent state continues to challenge many of our assumptions about cellular specification, and despite major efforts, we lack a complete molecular characterization of the reprograming process. To address this gap in knowledge, we generated extensive transcriptomic, epigenomic and proteomic data sets describing the reprogramming routes leading from mouse embryonic fibroblasts to induced pluripotency. Through integrative analysis, we reveal that cells transition through distinct gene expression and epigenetic signatures and bifurcate towards reprogramming transgene-dependent and -independent stable pluripotent states. Early transcriptional events, driven by high levels of reprogramming transcription factor expression, are associated with widespread loss of histone H3 lysine 27 (H3K27me3) trimethylation, representing a general opening of the chromatin state. Maintenance of high transgene levels leads to re-acquisition of H3K27me3 and a stable pluripotent state that is alternative to the embryonic stem cell (ESC)-like fate. Lowering transgene levels at an intermediate phase, however, guides the process to the acquisition of ESC-like chromatin and DNA methylation signature. Our data provide a comprehensive molecular description of the reprogramming routes and is accessible through the Project Grandiose portal at http://www.stemformatics.org.

Overview

Integrity signals

Registry

Crossref · 10.1038/nature14046

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 52

  1. Takahashi, K. & Yamanaka, S. Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors. Cell 126, 663–676 (2006) · DOI · Paper page
  2. Mikkelsen, T. S. et al. Dissecting direct reprogramming through integrative genomic analysis. Nature 454, 49–55 (2008) · DOI
  3. Graf, T. & Enver, T. Forcing cells to change lineages. Nature 462, 587–594 (2009) · DOI · Paper page
  4. Tonge, P. D. et al. Divergent reprogramming routes lead to alternative stem-cell states. Nature http://dx.doi.org/10.1038/nature14047 (this issue) · DOI
  5. Samavarchi-Tehrani, P. et al. Functional genomics reveals a BMP-driven mesenchymal-to-epithelial transition in the initiation of somatic cell reprogramming. Cell Stem Cell 7, 64–77 (2010) · DOI · Paper page
  6. Golipour, A. et al. A late transition in somatic cell reprogramming requires regulators distinct from the pluripotency network. Stem Cells 11, 769–782 (2012)
  7. O’Malley, J. et al. High-resolution analysis with novel cell-surface markers identifies routes to iPS cells. Nature 499, 88–91 (2013) · DOI
  8. Nagy, A. Secondary cell reprogramming systems: as years go by. Curr. Opin. Genet. Dev. 23, 534–539 (2013) · DOI
  9. Woltjen, K. et al. piggyBac transposition reprograms fibroblasts to induced pluripotent stem cells. Nature 458, 766–770 (2009) · DOI
  10. Buganim, Y. et al. Single-cell expression analyses during cellular reprogramming reveal an early stochastic and a late hierarchic phase. Cell 150, 1209–1222 (2012) · DOI · Paper page
  11. Belteki, G. et al. Conditional and inducible transgene expression in mice through the combinatorial use of Cre-mediated recombination and tetracycline induction. Nucleic Acids Res. 33, e51 (2005) · DOI
  12. Wells, C. A. et al. Stemformatics: visualisation and sharing of stem cell gene expression. Stem Cell Res. 10, 387–395 (2013) · DOI
  13. Clancy, J. L. et al. Small RNA changes en route to distinct cellular states of induced pluripotency. Nature Commun. http://dx.doi.org/10.1038/ncomms6522 (2014) · DOI
  14. Benevento, M. et al. Proteome adaptation in cell reprogramming proceeds via distinct transcriptional networks. Nature Commun. http://dx.doi.org/10.1038/ncomms6613 (2014) · DOI
  15. Polo, J. M. et al. Cell type of origin influences the molecular and functional properties of mouse induced pluripotent stem cells. Nature Biotechnol. 28, 848–855 (2010) · DOI
  16. Ohi, Y. et al. Incomplete DNA methylation underlies a transcriptional memory of somatic cells in human iPS cells. Nature Cell Biol. 13, 541–549 (2011) · DOI
  17. Schug, J. et al. Promoter features related to tissue specificity as measured by Shannon entropy. Genome Biol. 6, R33 (2005) · DOI
  18. Li, R. et al. A mesenchymal-to-epithelial transition initiates and is required for the nuclear reprogramming of mouse fibroblasts. Cell Stem Cell 7, 51–63 (2010) · DOI · Paper page
  19. Kojima, Y. et al. The transcriptional and functional properties of mouse epiblast stem cells resemble the anterior primitive streak. Cell Stem Cell 14, 107–120 (2014) · DOI
  20. Li, B., Carey, M. & Workman, J. L. The role of chromatin during transcription. Cell 128, 707–719 (2007) · DOI
  21. Simon, J. A. & Kingston, R. E. Occupying chromatin: polycomb mechanisms for getting to genomic targets, stopping transcriptional traffic, and staying put. Mol. Cell 49, 808–824 (2013) · DOI
  22. Mansour, A. A. et al. The H3K27 demethylase Utx regulates somatic and germ cell epigenetic reprogramming. Nature 488, 409–413 (2012) · DOI
  23. Pereira, C. F. et al. ESCs require PRC2 to direct the successful reprogramming of differentiated cells toward pluripotency. Cell Stem Cell 6, 547–556 (2010) · DOI
  24. Wong, J. J.-L. et al. Orchestrated intron retention regulates normal granulocyte differentiation. Cell 154, 583–595 (2013) · DOI · Paper page
  25. Fadloun, A. et al. Chromatin signatures and retrotransposon profiling in mouse embryos reveal regulation of LINE-1 by RNA. Nature Struct. Mol. Biol. 20, 332–338 (2013) · DOI
  26. Tang, S.-J. Chromatin organization by repetitive elements (CORE): a genomic principle for the higher-order structure of chromosomes. Genes 2, 502–515 (2011) · DOI
  27. Lunyak, V. V. et al. Developmentally regulated activation of a SINE B2 repeat as a domain boundary in organogenesis. Science 317, 248–251 (2007) · DOI
  28. Rebollo, R., Romanish, M. T. & Mager, D. L. Transposable elements: an abundant and natural source of regulatory sequences for host genes. Annu. Rev. Genet. 46, 21–42 (2012) · DOI
  29. Jørgensen, H. F. et al. Stem cells primed for action: polycomb repressive complexes restrain the expression of lineage-specific regulators in embryonic stem cells. Cell Cycle 5, 1411–1414 (2006) · DOI
  30. Voigt, P. et al. Asymmetrically modified nucleosomes. Cell 151, 181–193 (2012) · DOI
  31. Schmitges, F. W. et al. Histone methylation by PRC2 is inhibited by active chromatin marks. Mol. Cell 42, 330–341 (2011) · DOI
  32. Yuan, W. et al. H3K36 methylation antagonizes PRC2-mediated H3K27 methylation. J. Biol. Chem. 286, 7983–7989 (2011) · DOI
  33. Voigt, P., Tee, W. W. & Reinberg, D. A double take on bivalent promoters. Genes Dev. 27, 1318–1338 (2013) · DOI
  34. Lee, D.-S. et al. DNA methylation as a reprogramming modulator: an epigenomic roadmap to induced pluripotency. Nature Commun. http://dx.doi.org/10.1038/ncomms6619 (2014) · DOI · Paper page
  35. Cabili, M. N. et al. Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. Genes Dev. 25, 1915–1927 (2011) · DOI
  36. Guttman, M. et al. lincRNAs act in the circuitry controlling pluripotency and differentiation. Nature 477, 295–300 (2011) · DOI
  37. Behringer, R. R., Gertsenstein, M., Nagy-Vintersten, K. & Nagy, A. Manipulating the Mouse Embryo: A Laboratory Manual (Cold Spring Harbor Laboratory Press, 2013)
  38. Robinson, M. D., McCarthy, D. J. & Smyth, G. K. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 26, 139–140 (2010) · DOI · Paper page
  39. Kong, L. et al. CPC: assess the protein-coding potential of transcripts using sequence features and support vector machine. Nucleic Acids Res. 35, W345–W349 (2007) · DOI
  40. Anders, S., Reyes, A. & Huber, W. Detecting differential usage of exons from RNA-seq data. Genome Res. 22, 2008–2017 (2012) · DOI · Paper page
  41. Xie, W. et al. Epigenomic analysis of multilineage differentiation of human embryonic stem cells. Cell 153, 1134–1148 (2013) · DOI
  42. Robinson, M. D. & Oshlack, A. A scaling normalization method for differential expression analysis of RNA-seq data. Genome Biol. 11, R25 (2010) · DOI · Paper page
  43. O’Geen, H., Echipare, L. & Farnham, P. J. in Epigenetics Protocols 791, 265–286 (Humana, 2011) · DOI
  44. Gaspar-Maia, A. et al. Chd1 regulates open chromatin and pluripotency of embryonic stem cells. Nature 460, 863–868 (2009) · DOI
  45. Wang, T. et al. The histone demethylases Jhdm1a/1b enhance somatic cell reprogramming in a vitamin-C-dependent manner. Cell Stem Cell 9, 575–587 (2011) · DOI · Paper page
  46. Feng, J., Liu, T., Qin, B., Zhang, Y. & Liu, X. S. Identifying ChIP-seq enrichment using MACS. Nature Protocols 7, 1728–1740 (2012) · DOI
  47. Hawkins, R. D. et al. Distinct epigenomic landscapes of pluripotent and lineage-committed human cells. Cell Stem Cell 6, 479–491 (2010) · DOI · Paper page
  48. Shen, L., Shao, N., Liu, X. & Nestler, E. ngs.plot: Quick mining and visualization of next-generation sequencing data by integrating genomic databases. BMC Genomics 15, 284 (2014) · DOI
  49. Krueger, F. & Andrews, S. R. Bismark: a flexible aligner and methylation caller for Bisulfite-Seq applications. Bioinformatics 27, 1571–1572 (2011) · DOI
  50. Gauci, S. et al. Lys-N and trypsin cover complementary parts of the phosphoproteome in a refined SCX-based approach. Anal. Chem. 81, 4493–4501 (2009) · DOI
  51. Wollscheid, B. et al. Mass-spectrometric identification and relative quantification of N-linked cell surface glycoproteins. Nature Biotechnol. 27, 378–386 (2009) · DOI · Paper page
  52. Kislinger, T. et al. PRISM, a generic large scale proteomic investigation strategy for mammals. Mol. Cell. Proteomics 2, 96–106 (2003) · DOI

Cited by

Sorted by citations

Metadata

Authors
Hussein, S. M. I., Puri, M. C., Tonge, P. D., Benevento, M., Corso, A. J., Clancy, J. L., Mosbergen, R., Li, M., Lee, D.-S., Cloonan, N., Wood, D. L. A., Munoz, J., Middleton, R., Korn, O., Patel, H. R., White, C. A., Shin, J.-Y., Gauthier, M. E., Cao, K.-A. L., Kim, J.-I., Mar, J. C., Shakiba, N., Ritchie, W., Rasko, J. E. J., Grimmond, S. M., Zandstra, P. W., Wells, C. A., Preiss, T., Seo, J.-S., Heck, A. J. R., Rogers, I. M., & Nagy, A.
Venue
Nature
Published
2014-12-10
Volume
516
Issue
7530
Pages
198-206
ISSN
  • 0028-0836
  • 1476-4687
Cited by
197
References
7
Language
en
Update notices
erratum (2015-06-17)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review