The DOI matches its Crossref record; 29 of the 30 references it cites were found in a registry or an index.
Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression
Open accessAbstract
We recently showed that the mammalian genome encodes >1,000 large intergenic noncoding (linc)RNAs that are clearly conserved across mammals and, thus, functional. Gene expression patterns have implicated these lincRNAs in diverse biological processes, including cell-cycle regulation, immune surveillance, and embryonic stem cell pluripotency. However, the mechanism by which these lincRNAs function is unknown. Here, we expand the catalog of human lincRNAs to ≈3,300 by analyzing chromatin-state maps of various human cell types. Inspired by the observation that the well-characterized lincRNA HOTAIR binds the polycomb repressive complex (PRC)2, we tested whether many lincRNAs are physically associated with PRC2. Remarkably, we observe that ≈20% of lincRNAs expressed in various cell types are bound by PRC2, and that additional lincRNAs are bound by other chromatin-modifying complexes. Also, we show that siRNA-mediated depletion of certain lincRNAs associated with PRC2 leads to changes in gene expression, and that the up-regulated genes are enriched for those normally silenced by PRC2. We propose a model in which some lincRNAs guide chromatin-modifying complexes to specific genomic loci to regulate gene expression.
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
“Several noncoding RNAs were reported to mediate p53-dependent gene regulation—these include microRNAs120 and long noncoding RNAs,121 such as TUG1,122, 123 miR-34,124 lincRNA-p21,125 PANDA126 and PINT.127”
From Census and evaluation of p53 target genes (2017) · cites this paper as [122]
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
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Self-citationHigh-Resolution Profiling of Histone Methylations in the Human Genome
Barski, A., Cuddapah, S., Cui, K., Roh, T.-Y., Schones, D. E., Wang, Z., Wei, G., Chepelev, I., & Zhao, K. (2007) · Cell · doi:10.1016/j.cell.2007.05.009 · Cited by 6,845
The ENCODE Project Consortium (2007) · Nature · doi:10.1038/nature05874 · Cited by 5,223
Functional Demarcation of Active and Silent Chromatin Domains in Human HOX Loci by Noncoding RNAs
Rinn, J. L., Kertesz, M., Wang, J. K., Squazzo, S. L., Xu, X. H., Brugmann, S. A., Goodnough, L. H., Helms, J. A., Farnham, P., Segal, E., et al. (2007) · Cell · doi:10.1016/j.cell.2007.05.022 · Cited by 4,246
Self-citationGenome-wide maps of chromatin state in pluripotent and lineage-committed cells
Mikkelsen, T. S., Ku, M., Jaffe, D. B., Issac, B., Lieberman, E., Giannoukos, G., Alvarez, P., Brockman, W., Kim, T.-K., Koche, R. P., et al. (2007) · Nature · doi:10.1038/nature06008 · Cited by 4,129
Self-citationChromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., et al. (2009) · Nature · doi:10.1038/nature07672 · Cited by 4,098
Self-citationPolycomb Proteins Targeted by a Short Repeat RNA to the Mouse X Chromosome
Zhao, J. C., Sun, B. K., Erwin, J. A., Song, J., & Lee, J. T. (2008) · Science · doi:10.1126/science.1163045 · Cited by 1,580
Genome-wide mapping of Polycomb target genes unravels their roles in cell fate transitionsPreprint
Bracken, A. P., Dietrich, N., Pasini, D., Hansen, K. H., & Helin, K. (2006) · Genes & Development · doi:10.1101/gad.381706 · Cited by 1,286
Pandey, R. R., Mondal, T., Mohammad, F., Enroth, S., Redrup, L., Komorowski, J., Nagano, T., Mancini‐DiNardo, D., & Kanduri, C. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.08.022 · Cited by 1,192
Genomewide Analysis of PRC1 and PRC2 Occupancy Identifies Two Classes of Bivalent Domains
Ku, M., Koche, R. P., Rheinbay, E., Mendenhall, E. M., Endoh, M., Mikkelsen, T. S., Aiden, A. P., Nusbaum, C., Xie, X. S., Chi, A. S., et al. (2008) · PLoS Genetics · doi:10.1371/journal.pgen.1000242 · Cited by 1,053
Self-citation
Cited by
Sorted by citations
Items 1,001–1,004 of 1,004
RNA-Seq Reveals Novel Transcriptional Reorganization in Human Alcoholic Brain
Farris, S. P., & Dayne Mayfield, R. (2014) · International Review of Neurobiology · doi:10.1016/b978-0-12-801105-8.00011-4 · Cited by 49
Anatomic Demarcation of Cells: Genes to Patterns
Chang, H. Y. (2009) · Science · doi:10.1126/science.1175686 · Cited by 45
Emerging roles for ncRNAs in alcohol use disorders
Mayfield, R. D. (2017) · Alcohol · doi:10.1016/j.alcohol.2017.01.004 · Cited by 43
The emerging functions of the p53-miRNA network in stem cell biology
Lin, C.-P., Choi, Y. J., Hicks, G. G., & He, L. (2012) · Cell Cycle · doi:10.4161/cc.20207 · Cited by 38
Metadata
- Authors
- Khalil, A. M., Guttman, M., Huarte, M., Garber, M., Raj, A., Rivea Morales, D., Thomas, K., Presser, A., Bernstein, B. E., van Oudenaarden, A., Regev, A., Lander, E. S., & Rinn, J. L.
- Affiliations
- Broad Institute (US)
- Massachusetts Institute of Technology (US)
- The Broad Institute of Harvard and Massachusetts Institute of Technology, Cambridge, MA 02142;
- Physics, Massachusetts Institute of Technology, Cambridge, MA 02139;
- ORCID
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2009-07-14
- Volume
- 106
- Issue
- 28
- Pages
- 11667-11672
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC2704857
- OpenAlex
- W2144137532
- Cited by
- 2,872
- References
- 30
- Citations by year
- 2026: 35 · 2025: 54 · 2024: 81 · 2023: 96 · 2022: 115 · 2021: 164 · 2020: 206 · 2019: 208 · 2018: 216 · 2017: 230 · 2016: 235 · 2015: 269 · 2014: 248 · 2013: 243 · 2012: 197
- FWCI
- 52.20
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Funders
- National Institutes of Health (DP1OD003958)
- National Heart, Lung, and Blood Institute (T32HL007893, HL007893)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Chromosomal and Genetic Variations
- Keywords
- long intergenic non-coding RNA, polycomb repressive complex 2, chromatin-modifying complexes, gene expression regulation, HOTAIR, chromatin state, siRNA knockdown, gene silencing, mammalian genomes
- MeSH terms
- Chromatin, Gene Expression Regulation, Humans, Models, Genetic, Repressor Proteins, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, RNA, Untranslated, Epigenesis, Genetic, Polycomb-Group Proteins
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