The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Targeted disruption of DNMT1, DNMT3A and DNMT3B in human embryonic stem cells
Open accessAbstract
DNA methylation is a key epigenetic modification involved in regulating gene expression and maintaining genomic integrity. Here we inactivated all three catalytically active DNA methyltransferases (DNMTs) in human embryonic stem cells (ESCs) using CRISPR/Cas9 genome editing to further investigate the roles and genomic targets of these enzymes. Disruption of DNMT3A or DNMT3B individually as well as of both enzymes in tandem results in viable, pluripotent cell lines with distinct effects on the DNA methylation landscape, as assessed by whole-genome bisulfite sequencing. Surprisingly, in contrast to findings in mouse, deletion of DNMT1 resulted in rapid cell death in human ESCs. To overcome this immediate lethality, we generated a doxycycline-responsive tTA-DNMT1* rescue line and readily obtained homozygous DNMT1-mutant lines. However, doxycycline-mediated repression of exogenous DNMT1* initiates rapid, global loss of DNA methylation, followed by extensive cell death. Our data provide a comprehensive characterization of DNMT-mutant ESCs, including single-base genome-wide maps of the targets of these enzymes.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
RNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210
DNA methylation patterns and epigenetic memory
Bird, A. (2002) · Genes & Development · doi:10.1101/gad.947102 · Cited by 7,124
Human DNA methylomes at base resolution show widespread epigenomic differences
Lister, R., Pelizzola, M., Dowen, R. H., Hawkins, R. D., Hon, G., Tonti-Filippini, J., Nery, J. R., Lee, L., Ye, Z., Ngo, Q.-M., et al. (2009) · Nature · doi:10.1038/nature08514 · Cited by 4,673
GREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502
Targeted mutation of the DNA methyltransferase gene results in embryonic lethality
Li, E., Bestor, T. H., & Jaenisch, R. (1992) · Cell · doi:10.1016/0092-8674(92)90611-f · Cited by 3,984
DNA methylation: roles in mammalian development
Smith, Z. D., & Meissner, A. (2013) · Nature Reviews Genetics · doi:10.1038/nrg3354 · Cited by 3,045
Self-citationGenome-scale DNA methylation maps of pluripotent and differentiated cells
Meissner, A., Mikkelsen, T. S., Gu, H., Wernig, M., Hanna, J., Sivachenko, A., Zhang, X., Bernstein, B. E., Nusbaum, C., Jaffe, D. B., et al. (2008) · Nature · doi:10.1038/nature07107 · Cited by 2,536
Self-citationDNA-binding factors shape the mouse methylome at distal regulatory regions
Stadler, M. B., Murr, R., Burger, L., Ivanek, R., Lienert, F., Schöler, A., Nimwegen, E. V., Wirbelauer, C., Oakeley, E. J., Gaidatzis, D., et al. (2011) · Nature · doi:10.1038/nature10716 · Cited by 1,383
Charting a dynamic DNA methylation landscape of the human genome
Ziller, M. J., Gu, H., Müller, F., Donaghey, J., Tsai, L. T.-Y., Kohlbacher, O., De Jager, P. L., Rosen, E. D., Bennett, D. A., Bernstein, B. E., et al. (2013) · Nature · doi:10.1038/nature12433 · Cited by 1,357
Self-citation
Cited by
Dynamic stem cell states: Naive to primed pluripotency in rodents and humans
Weinberger, L., Ayyash, M., Novershtern, N., & Hanna, J. H. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2015.28 · Cited by 622
Pluripotent stem cells in disease modelling and drug discovery
Avior, Y., Sagi, I., & Benvenisty, N. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2015.27 · Cited by 592
Induced Pluripotent Stem Cells Meet Genome Editing
Hockemeyer, D., & Jaenisch, R. (2016) · Cell Stem Cell · doi:10.1016/j.stem.2016.04.013 · Cited by 499
“…(Chen et al., 2015; Cong et al., 2013; Fu et al., 2014; Gonzalez et al., 2014; Gu et al., 2015; Hou et al., 2013; Hsu et al., 2014; Kleinstiver et al., 2016; Liao and Karnik, 2015; Lin et al., 2014; Mali et al., 2013; Ran et al., 2015; Slaymaker et al., 2016; Tsai et al., 2014; Wu et al., 2014b).”
BackgroundEditing the epigenome: technologies for programmable transcription and epigenetic modulation
Thakore, P. I., Black, J. B., Hilton, I. B., & Gersbach, C. A. (2016) · Nature Methods · doi:10.1038/nmeth.3733 · Cited by 451
CpG and non-CpG methylation in epigenetic gene regulation and brain function
Jang, H., Shin, W., Lee, J., & Do, J. (2017) · Genes · doi:10.3390/genes8060148 · Cited by 427
Deleting DNMT3A in CAR T cells prevents exhaustion and enhances antitumor activity
Prinzing, B., Zebley, C. C., Petersen, C. T., Fan, Y., Anido, A. A., Yi, Z., Nguyen, P., Houke, H., Bell, M., Haydar, D., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abh0272 · Cited by 349
Self-citationLKB1 loss links serine metabolism to DNA methylation and tumorigenesis
Kottakis, F., Nicolay, B. N., Roumane, A., Karnik, R., Gu, H., Nagle, J. M., Boukhali, M., Hayward, M. C., Li, Y. Y., Chen, T., et al. (2016) · Nature · doi:10.1038/nature20132 · Cited by 348
Self-citationLINE-1 Evasion of Epigenetic Repression in Humans
Sanchez-Luque, F. J., Kempen, M.-J. H. C., Gerdes, P., Vargas-Landin, D. B., Richardson, S. R., Troskie, R.-L., Jesuadian, J. S., Cheetham, S. W., Carreira, P. E., Salvador-Palomeque, C., et al. (2019) · Molecular Cell · doi:10.1016/j.molcel.2019.05.024 · Cited by 161
Brunetti, L., Gundry, M. C., & Goodell, M. A. (2017) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a030320 · Cited by 186
Principles of signaling pathway modulation for enhancing human naive pluripotency induction
Bayerl, J., Ayyash, M., Shani, T., Manor, Y. S., Gafni, O., Massarwa, R., Kalma, Y., Aguilera-Castrejon, A., Zerbib, M., Amir, H., et al. (2021) · Cell stem cell · doi:10.1016/j.stem.2021.04.001 · Cited by 165
Molecular features of cellular reprogramming and development
Smith, Z. D., Sindhu, C., & Meissner, A. (2016) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm.2016.6 · Cited by 155
Self-citationRecent Progress in CRISPR/Cas9 Technology
Mei, Y., Wang, Y., Chen, H., Sun, Z. S., & Ju, X.-D. (2016) · Journal of Genetics and Genomics · doi:10.1016/j.jgg.2016.01.001 · Cited by 148
Gabriele, M., Lopez Tobon, A., D'Agostino, G., & Testa, G. (2018) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2017.12.013 · Cited by 103
Ramabadran, R., Wang, J. H., Reyes, J. M., Guzman, A. G., Gupta, S., Rosas, C., Brunetti, L., Gundry, M. C., Tovy, A., Long, H., et al. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01109-9 · Cited by 35
New generation of clinical epigenetics analysis and diagnosis for precision medicine
Song, P., & Li, B. (2025) · Diagnostics · doi:10.3390/diagnostics15121539 · Cited by 4
Metadata
- Authors
- Liao, J., Karnik, R., Gu, H., Ziller, M. J., Clement, K., Tsankov, A. M., Akopian, V., Gifford, C. A., Donaghey, J., Galonska, C., Pop, R., Reyon, D., Tsai, S. Q., Mallard, W., Joung, J. K., Rinn, J. L., Gnirke, A., & Meissner, A.
- Venue
- Nature Genetics
- Published
- 2015-03-30
- Volume
- 47
- Issue
- 5
- Pages
- 469-478
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- OpenAlex
- W1977463456
- Cited by
- 476
- References
- 14
- FWCI
- 23.54
- Type
- journal article
- Language
- en
- Open access
- green
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.