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Long Noncoding RNAs: Cellular Address Codes in Development and Disease
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In biology as in real estate, location is a cardinal organizational principle that dictates the accessibility and flow of informational traffic. An essential question in nuclear organization is the nature of the address code--how objects are placed and later searched for and retrieved. Long noncoding RNAs (lncRNAs) have emerged as key components of the address code, allowing protein complexes, genes, and chromosomes to be trafficked to appropriate locations and subject to proper activation and deactivation. lncRNA-based mechanisms control cell fates during development, and their dysregulation underlies some human disorders caused by chromosomal deletions and translocations.
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Guetg, C., Scheifele, F., Rosenthal, F., Hottiger, M. O., & Santoro, R. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.01.024 · Cited by 153
Flowering time control: another window to the connection between antisense RNA and chromatin
Ietswaart, R., Wu, Z., & Dean, C. (2012) · Trends in Genetics · doi:10.1016/j.tig.2012.06.002 · Cited by 145
Positional information and patterning revisited
Wolpert, L. (2010) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2010.10.034 · Cited by 133
Meiosis-Specific Noncoding RNA Mediates Robust Pairing of Homologous Chromosomes in Meiosis
Ding, D., Okamasa, K., Yamane, M., Tsutsumi, C., Haraguchi, T., Yamamoto, M. P., & Hiraoka, Y. (2012) · Science · doi:10.1126/science.1219518 · Cited by 131
A misplaced lncRNA causes brachydactyly in humans
Maass, P. G., Rump, A., Schulz, H., Stricker, S., Schulze, L., Platzer, K., Aydın, A., Tinschert, S., Goldring, M. B., Luft, F. C., et al. (2012) · Journal of Clinical Investigation · doi:10.1172/jci65508 · Cited by 124
Bierhoff, H., Schmitz, K., Maass, F., Ye, J., & Grummt, I. (2010) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2010.75.060 · Cited by 112
Verma‐Gaur, J., Torkamani, A., Schaffer, L., Head, S. R., Schork, N. J., & Feeney, A. J. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1208398109 · Cited by 108
Tycowski, K. T., Shu, M.-D., Borah, S., Shi, M., & STEITZ, J. A. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.05.020 · Cited by 95
Systematic reconstruction of RNA functional motifs with high-throughput microfluidics
Martin, L., Meier, M., Lyons, S. M., Sit, R. V., Marzluff, W. F., Quake, S. R., & Chang, H. Y. (2012) · Nature Methods · doi:10.1038/nmeth.2225 · Cited by 71
Self-citationHELLP babies link a novel lincRNA to the trophoblast cell cycle
van Dijk, M., Thulluru, H. K., Mulders, J., Michel, O. J., Poutsma, A., Windhorst, S., Kleiverda, G., Sie, D., Lachmeijer, A. M. A., & Oudejans, C. B. M. (2012) · Journal of Clinical Investigation · doi:10.1172/jci65171 · Cited by 69
The selective elimination of messenger RNA underlies the mitosis-meiosis switch in fission yeast
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Clinical utility of prostate carcinoma molecular diagnostic tests.
Shappell, S. B. (2008) · PubMed · Cited by 30
Roman cities =: Les villes romaines
Grimal, P., & Woloch, G. M. (1983) · Medical Entomology and Zoology · Cited by 2
Flagged first, then by citations
1 of the 106 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Li, J.-H., Liu, S., Zhou, H., Qu, L.-H., & Yang, J.-H. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1248 · Cited by 4,686
Unique features of long non-coding RNA biogenesis and function
Quinn, J. J., & Chang, H. Y. (2015) · Nature Reviews Genetics · doi:10.1038/nrg.2015.10 · Cited by 3,700
Self-citationLong Noncoding RNAs in Cancer Pathways
Schmitt, A. M., & Chang, H. Y. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.03.010 · Cited by 3,022
Self-citationLong non-coding RNAs: new players in cell differentiation and development
Fatica, A., & Bozzoni, I. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3606 · Cited by 2,980
Non-coding RNAs in Development and Disease: Background, Mechanisms, and Therapeutic Approaches
Beermann, J., Piccoli, M.-T., Viereck, J., & Thum, T. (2016) · Physiological Reviews · doi:10.1152/physrev.00041.2015 · Cited by 1,743
Metadata
- Authors
- Batista, P. J., & Chang, H. Y.
- Affiliations
- Howard Hughes Medical Institute (US)
- Corresponding author
- Chang, Howard Y.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2013-03
- Volume
- 152
- Issue
- 6
- Pages
- 1298-1307
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC3651923
- OpenAlex
- W1970741980
- Cited by
- 2,531
- References
- 106
- Citations by year
- 2026: 26 · 2025: 63 · 2024: 124 · 2023: 181 · 2022: 232 · 2021: 304 · 2020: 365 · 2019: 296 · 2018: 266 · 2017: 194 · 2016: 161 · 2015: 153 · 2014: 107 · 2013: 51
- FWCI
- 13.05
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- California Institute for Regenerative Medicine
- Damon Runyon Cancer Research Foundation
- California Institute of Regenerative Medicine
- National Institutes of Health
- National Human Genome Research Institute (R01HG004361)
- National Cancer Institute (R01CA118750)
- 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 › Molecular Biology › RNA Research and Splicing
- Keywords
- long non-coding RNA, nuclear organization, chromatin accessibility, gene expression regulation, cell fate specification, development (biology), chromosomal deletion, chromosomal translocation
- MeSH terms
- Animals, Cell Nucleus, Disease, Gene Expression Regulation, Humans, RNA, Long Noncoding
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 ›
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