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Cited by 451

The DOI matches its Crossref record; 97 of the 97 references it cites were found in a registry or an index.

The bright side of dark matter: lncRNAs in cancer

Open access
Evans, Joseph R., Feng, Felix Y., Chinnaiyan, Arul M.·2016·Journal of Clinical Investigation

Abstract

The traditional view of genome organization has been upended in the last decade with the discovery of vast amounts of non-protein-coding transcription. After initial concerns that this "dark matter" of the genome was transcriptional noise, it is apparent that a subset of these noncoding RNAs are functional. Long noncoding RNA (lncRNA) genes resemble protein-coding genes in several key aspects, and they have myriad molecular functions across many cellular pathways and processes, including oncogenic signaling. The number of lncRNA genes has recently been greatly expanded by our group to triple the number of protein-coding genes; therefore, lncRNAs are likely to play a role in many biological processes. Based on their large number and expression specificity in a variety of cancers, lncRNAs are likely to serve as the basis for many clinical applications in oncology.

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Crossref · 10.1172/jci84421

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Metadata

Authors
Evans, J. R., Feng, F. Y., & Chinnaiyan, A. M.
Venue
Journal of Clinical Investigation
Published
2016-08-01
Volume
126
Issue
8
Pages
2775-2782
ISSN
  • 0021-9738 (ISSN-L)
  • 1558-8238
OpenAlex
W2497998056
Cited by
451
References
97
FWCI
20.62
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: The bright side of dark matter: lncRNAs in cancer. https://app.cochat.ai/papers/10.1172/jci84421
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Evans, J. R., Feng, F. Y., & Chinnaiyan, A. M. (2016). The bright side of dark matter: lncRNAs in cancer. Journal of Clinical Investigation. https://doi.org/10.1172/jci84421

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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.