The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
The DNA methyltransferase DNMT3C protects male germ cells from transposon activity
Abstract
Combating parasitic DNA by methylation: DNA methylation plays an important role in repressing the expression of “parasitic” DNAs, such as transposable elements, which have invaded our genomes. Mammals have three DNA methyltransferase enzymes. Barau et al. discovered a fourth DNA methyltransferase enzyme in mice. The enzyme DNMT3C is a duplication of DNMT3B and is found in male germ cells. There it targets evolutionarily young transposons, of which there is a heavy burden in the mouse genome. DNMT3C methylates and silences the young transposons, preserving male fertility. Science , this issue p. 909
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
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method
Livak, K. J., & Schmittgen, T. D. (2001) · Methods · doi:10.1006/meth.2001.1262 · Cited by 180,860
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400
MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets
Kumar, S., Stecher, G., & Tamura, K. (2016) · Molecular Biology and Evolution · doi:10.1093/molbev/msw054 · Cited by 44,059
HTSeq—a Python framework to work with high-throughput sequencing data
Anders, S., Pyl, P. T., & Huber, W. (2015) · Bioinformatics · doi:10.1093/bioinformatics/btu638 · Cited by 21,464
Differential expression analysis for sequence count data
Anders, S., & Huber, W. (2010) · Genome Biology · doi:10.1186/gb-2010-11-10-r106 · Cited by 15,581
Robinson, J. T., Thorvaldsdóttir, H., Winckler, W., Guttman, M., Lander, E. S., Getz, G., & Mesirov, J. P. (2011) · Nature Biotechnology · doi:10.1038/nbt.1754 · Cited by 15,390
Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., & Salzberg, S. L. (2013) · Genome Biology · doi:10.1186/gb-2013-14-4-r36 · Cited by 12,668
Enzymatic assembly of DNA molecules up to several hundred kilobases
Gibson, D. G., Young, L., Chuang, R.-Y., Venter, J. C., Hutchison, C. A., & Smith, H. O. (2009) · Nature Methods · doi:10.1038/nmeth.1318 · Cited by 9,996
Primer3—new capabilities and interfaces
Untergasser, A., Cutcutache, I., Koressaar, T., Ye, J., Faircloth, B. C., Remm, M., & Rozen, S. G. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks596 · Cited by 9,461
Initial sequencing and comparative analysis of the mouse genome
Mouse Genome Sequencing Consortium (2002) · Nature · doi:10.1038/nature01262 · Cited by 7,187
Cited by
Regulation of transposable elements by DNA modifications
Deniz, Ö., Frost, J. M., & Branco, M. R. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0106-6 · Cited by 486
DNA methylation: An epigenetic mark of cellular memory
Kim, M., & Costello, J. (2017) · Experimental & Molecular Medicine · doi:10.1038/emm.2017.10 · Cited by 450
DNA methyltransferases and their roles in tumorigenesis
Zhang, W., & Xu, J. (2017) · Biomarker Research · doi:10.1186/s40364-017-0081-z · Cited by 382
m6A RNA methylation regulates the fate of endogenous retroviruses
Chelmicki, T., Roger, E., Teissandier, A., Dura, M., Bonneville, L., Rucli, S., Dossin, F., Fouassier, C., Lameiras, S., & Bourc’his, D. (2021) · Nature · doi:10.1038/s41586-020-03135-1 · Cited by 307
Self-citationAging and Alzheimer's disease: comparison and associations from molecular to system level
Xia, X., Jiang, Q., McDermott, J., & Han, J. J. (2018) · Aging Cell · doi:10.1111/acel.12802 · Cited by 301
Metadata
- Authors
- Barau, J., Teissandier, A., Zamudio, N., Roy, S., Nalesso, V., Hérault, Y., Guillou, F., & Bourc’his, D.
- Venue
- Science
- Published
- 2016-11-18
- Volume
- 354
- Issue
- 6314
- Pages
- 909-912
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2554177165
- Cited by
- 389
- References
- 52
- FWCI
- 17.91
- Type
- journal article
- Language
- en
- Open access
- closed
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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The DNA methyltransferase DNMT3C protects male germ cells from transposon activity. https://app.cochat.ai/papers/10.1126/science.aah5143
- The paper
- Barau, J., Teissandier, A., Zamudio, N., Roy, S., Nalesso, V., Hérault, Y., Guillou, F., & Bourc’his, D. (2016). The DNA methyltransferase DNMT3C protects male germ cells from transposon activity. Science. https://doi.org/10.1126/science.aah5143
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.
