The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals
Open accessAbstract
There is growing recognition that mammalian cells produce many thousands of large intergenic transcripts. However, the functional significance of these transcripts has been particularly controversial. Although there are some well-characterized examples, most (>95%) show little evidence of evolutionary conservation and have been suggested to represent transcriptional noise. Here we report a new approach to identifying large non-coding RNAs using chromatin-state maps to discover discrete transcriptional units intervening known protein-coding loci. Our approach identified approximately 1,600 large multi-exonic RNAs across four mouse cell types. In sharp contrast to previous collections, these large intervening non-coding RNAs (lincRNAs) show strong purifying selection in their genomic loci, exonic sequences and promoter regions, with greater than 95% showing clear evolutionary conservation. We also developed a functional genomics approach that assigns putative functions to each lincRNA, demonstrating a diverse range of roles for lincRNAs in processes from embryonic stem cell pluripotency to cell proliferation. We obtained independent functional validation for the predictions for over 100 lincRNAs, using cell-based assays. In particular, we demonstrate that specific lincRNAs are transcriptionally regulated by key transcription factors in these processes such as p53, NFkappaB, Sox2, Oct4 (also known as Pou5f1) and Nanog. Together, these results define a unique collection of functional lincRNAs that are highly conserved and implicated in diverse biological processes.
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
“LincRNAs were collected from reconstructed transcripts (Guttman et al., 2010) that lay entirely within the lincRNA chromatin signatures identified by Guttman et al. (Guttman et al., 2009), which excluded known protein-coding genes.”
From Ribosome Profiling of Mouse Embryonic Stem Cells Reveals the Complexity and Dynamics of Mammalian Proteomes (2011) · cites this paper as Guttman et al., 2009
In the citing paper
“The following ncRNA databases are included in our analysis: miRBase version 22.1 (16), Ensembl ncRNA version 100 (44), RNACentral version 15 (45), GtRNAdb version 18.1 (17) and NONCODE version 5 (46).”
From miRNATissueAtlas2: an update to the human miRNA tissue atlas (2022) · cites this paper as [44]
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
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-citationEvolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 3,971
miRBase: microRNA sequences, targets and gene nomenclature
Griffiths-Jones, S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj112 · Cited by 3,950
The Transcriptional Landscape of the Mammalian Genome
Carninci, P., Kasukawa, T., Katayama, S., Gough, J., Frith, M. C., Maeda, N., Oyama, R., Ravasi, T., Lenhard, B., Wells, C. A., et al. (2005) · Science · doi:10.1126/science.1112014 · Cited by 3,492 · cited 2×
“Thus, to expand our understanding of functional lincRNAs, we are faced with two important challenges: (1) identifying lincRNAs that are most likely to be functional; and (2) inferring putative functions for these lincRNAs that can be tested in hypothesis-driven experiments.”
RNA Maps Reveal New RNA Classes and a Possible Function for Pervasive Transcription
Kapranov, P., Cheng, J., Dike, S., Nix, D. A., Duttagupta, R., Willingham, A. T., Stadler, P. F., Jana Hertel, A., Jörg Hackermüller, A., Hofacker, I. L., et al. (2007) · Science · doi:10.1126/science.1138341 · Cited by 2,519 · cited 1×
“(1) Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge MA 02142 (2) Department of Biology, Massachusetts Institute of Technology, Cambridge MA 02139 (3) Department of Pathology, Beth Israel Deaconess Medical Center, Boston MA 02215 (4) Division of Health Sciences and Technology, Massachusetts Institute…”
The Oct4 and Nanog transcription network regulates pluripotency in mouse embryonic stem cells
Loh, Y., Wu, Q., Chew, J.-L., Vega, V. B., Zhang, W., Chen, X., Bourque, G., George, J., Leong, B., Liu, J., et al. (2006) · Nature Genetics · doi:10.1038/ng1760 · Cited by 2,438
Identification of protein coding regions by database similarity search
Gish, W. R., & States, D. J. (1993) · Nature Genetics · doi:10.1038/ng0393-266 · Cited by 1,650
Cited by
Sorted by citations
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
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
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049
Pattern Recognition Receptors and Inflammation
Takeuchi, O., & Akira, S. (2010) · Cell · doi:10.1016/j.cell.2010.01.022 · Cited by 8,895
A ceRNA Hypothesis: The Rosetta Stone of a Hidden RNA Language?
Salmena, L., Poliseno, L., Tay, Y., Kats, L., & Pandolfi, P. P. (2011) · Cell · doi:10.1016/j.cell.2011.07.014 · Cited by 7,262
Metadata
- Authors
- Guttman, M., Amit, I., Garber, M., French, C., Lin, M. F., Feldser, D., Huarte, M., Zuk, O., Carey, B. W., Cassady, J. P., Cabili, M. N., Jaenisch, R., Mikkelsen, T. S., Jacks, T., Hacohen, N., Bernstein, B. E., Kellis, M., Regev, A., Rinn, J. L., & Lander, E. S.
- Affiliations
- Broad Institute (US)
- Koch Institute for Integrative Cancer Research At MIT (US)
- Whitehead Institute for Biomedical Research (US)
- Harvard University (US)
- Corresponding author
- Rinn, John L.
- ORCID
- Venue
- Nature
- Published
- 2009-02-01
- Volume
- 458
- Issue
- 7235
- Pages
- 223-227
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC2754849
- OpenAlex
- W1999746344
- Cited by
- 4,098
- References
- 39
- Citations by year
- 2026: 34 · 2025: 85 · 2024: 128 · 2023: 168 · 2022: 233 · 2021: 331 · 2020: 274 · 2019: 301 · 2018: 331 · 2017: 330 · 2016: 322 · 2015: 334 · 2014: 315 · 2013: 266 · 2012: 249
- FWCI
- 72.16
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
- Funders
- National Institutes of Health (DP1OD003958)
- National Human Genome Research Institute (U54HG003067, R01HG004037)
- 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, chromatin state, evolutionary conservation, purifying selection, embryonic stem cell pluripotency, cell proliferation, transcription factor regulation, p53, NF-κB, SOX2, Oct4, Nanog, transcriptional noise
- MeSH terms
- Animals, Base Sequence, Cells, Cultured, Chromatin, Exons, Mammals, Promoter Regions, Genetic, RNA, Transcription Factors, Reproducibility of Results, Conserved Sequence, DNA, Intergenic, Mice
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