The DOI matches its Crossref record; 105 of the 105 references it cites were found in a registry or an index.
H3K4me3 Breadth Is Linked to Cell Identity and Transcriptional Consistency
Open accessAbstract
Trimethylation of histone H3 at lysine 4 (H3K4me3) is a chromatin modification known to mark the transcription start sites of active genes. Here, we show that H3K4me3 domains that spread more broadly over genes in a given cell type preferentially mark genes that are essential for the identity and function of that cell type. Using the broadest H3K4me3 domains as a discovery tool in neural progenitor cells, we identify novel regulators of these cells. Machine learning models reveal that the broadest H3K4me3 domains represent a distinct entity, characterized by increased marks of elongation. The broadest H3K4me3 domains also have more paused polymerase at their promoters, suggesting a unique transcriptional output. Indeed, genes marked by the broadest H3K4me3 domains exhibit enhanced transcriptional consistency and [corrected] increased transcriptional levels, and perturbation of H3K4me3 breadth leads to changes in transcriptional consistency. Thus, H3K4me3 breadth contains information that could ensure transcriptional precision at key cell identity/function genes.
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.
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?
In the citing paper
“Interestingly, H3K4me3 domains vary in breadth in a locus- and cell-type-specific manner (Benayoun et al., 2014; Chen et al., 2015), and these differences could provide clues about the context-dependent roles of this mark during aging.”
From The Aging Epigenome (2016) · cites this paper as Benayoun et al., 2014
In the citing paper
“The breadth of the H3K4me3 mark has been previously linked to cell identity, gene expression and transcriptional consistency across a variety of cell types30.”
From Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues (2021) · cites this paper as [30]
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
1 retracted
Fasano, C. A., Dimos, J. T., Ivanova, N. B., Lowry, N. A., Lemischka, I. R., & Temple, S. (2007) · Cell stem cell · doi:10.1016/j.stem.2007.04.001 · Cited by 308
RetractedSystematic and integrative analysis of large gene lists using DAVID bioinformatics resources
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nature Protocols · doi:10.1038/nprot.2008.211 · Cited by 35,890
BEDTools: a flexible suite of utilities for comparing genomic features
Quinlan, A. R., & Hall, I. M. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq033 · Cited by 27,437
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
Langmead, B., Trapnell, C., Pop, M., & Salzberg, S. L. (2009) · Genome Biology · doi:10.1186/gb-2009-10-3-r25 · Cited by 21,849
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Self-citationTrapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Huang, D. W., Sherman, B. T., & Lempicki, R. A. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkn923 · Cited by 14,108
Heinz, S., Benner, C., Spann, N., Bertolino, E., Lin, Y. C., Laslo, P., Cheng, J. X., Murre, C., Singh, H., & Glass, C. K. (2010) · Molecular Cell · doi:10.1016/j.molcel.2010.05.004 · Cited by 13,382
Bioconductor: open software development for computational biology and bioinformatics
Gentleman, R. C., Carey, V. J., Bates, D. M., Bolstad, B., Dettling, M., Dudoit, S., Ellis, B., Gautier, L., Ge, Y., Gentry, J., et al. (2004) · Genome biology · doi:10.1186/gb-2004-5-10-r80 · Cited by 12,082
Cited by
Sorted by citations
Histone post-translational modifications - cause and consequence of genome function
Millán-Zambrano, G., Burton, A., Bannister, A. J., & Schneider, R. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00468-7 · Cited by 1,116
Distinct features of H3K4me3 and H3K27me3 chromatin domains in pre-implantation embryos
Liu, X., Wang, C., Liu, W., Li, J., Li, C., Kou, X., Chen, J., Zhao, Y., Gao, H., Wang, H., et al. (2016) · Nature · doi:10.1038/nature19362 · Cited by 746
Histone Methylation Dynamics and Gene Regulation Occur through the Sensing of One-Carbon Metabolism
Mentch, S. J., Mehrmohamadi, M., Huang, L., Liu, X., Gupta, D., Mattocks, D. A. L., Padilla, P. G., Ables, G. P., Bamman, M. M., Thalacker‐Mercer, A. E., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.08.024 · Cited by 706
Broad histone H3K4me3 domains in mouse oocytes modulate maternal-to-zygotic transition
Dahl, J. A., Jung, I., Aanes, H., Greggains, G. D., Manaf, A., Lerdrup, M., Li, G., Kuan, S., Li, B., Lee, A. Y., et al. (2016) · Nature · doi:10.1038/nature19360 · Cited by 650
Epigenetic regulation of ageing: linking environmental inputs to genomic stability
Benayoun, B. A., Pollina, E. A., & Brunet, A. (2015) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm4048 · Cited by 610
Self-citation
Metadata
- Authors
- Benayoun, B. A., Pollina, E. A., Ucar, D., Mahmoudi, S., Karra, K., Wong, E. D., Devarajan, K., Daugherty, A. C., Kundaje, A. B., Mancini, E., Hitz, B. C., Gupta, R., Rando, T. A., Baker, J. C., Snyder, M. P., Cherry, J. M., & Brunet, A.
- Affiliations
- Stanford University (US)
- Stanford Medicine (US)
- VA Palo Alto Health Care System (US)
- Corresponding author
- Brunet, Anne
- ORCID
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2014-07
- Volume
- 158
- Issue
- 3
- Pages
- 673-688
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC4137894
- OpenAlex
- W1984173288
- Cited by
- 536
- References
- 105
- Citations by year
- 2026: 28 · 2025: 53 · 2024: 52 · 2023: 50 · 2022: 41 · 2021: 57 · 2020: 40 · 2019: 44 · 2018: 32 · 2017: 51 · 2016: 47 · 2015: 38 · 2014: 3
- FWCI
- 4.36
- Type
- journal article
- Language
- en
- Update notices
- erratum (2015-11-19)
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- The Mouseion at the JAXlibrary (Jackson Laboratory) (submittedVersion)
- Funders
- National Institute on Aging (F31AG043232, DP1AG044848, P01AG036695)
- National Cancer Institute (T32CA009302)
- National Institute of General Medical Sciences (P01GM099130, R01GM103787, T32GM007790)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chromatin Remodeling and Cancer
- Keywords
- H3K4me3, histone trimethylation, chromatin modification, transcription start sites, cell identity, neural progenitor cells, gene expression regulation, RNA polymerase II elongation, cell type-specific genes, machine learning
- MeSH terms
- Animals, Artificial Intelligence, Cells, Histones, Humans, Lysine, Methylation, Mice, Inbred C57BL, RNA Polymerase II, Transcription, Genetic, Genomics, Histone Code, Neural Stem Cells
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