Open Access
Molecular Cell, volume 63, issue 2, pages 186-189
RNA Matchmaking: Finding Cellular Pairing Partners
1
Department of Genetics and Genome Sciences, Institute for Systems Genomics, UConn Health, 400 Farmington Avenue, Farmington, CT 06030, USA
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Publication type: Journal Article
Publication date: 2016-07-21
Journal:
Molecular Cell
Quartile SCImago
Q1
Quartile WOS
Q1
Impact factor: 16
ISSN: 10972765, 10974164
PubMed ID:
27447984
Molecular Biology
Cell Biology
Abstract
RNA structure is intimately related to function, yet methods to identify base-paired RNA strands in a transcriptome-wide manner in cells have remained elusive. One recent paper in Cell and two in Molecular Cell describe related methods to identify RNA sequences that interact in living cells, setting the stage for breakthroughs in our understanding of RNA structure and function.
Citations by journals
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2
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Nucleic Acids Research
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Nucleic Acids Research
2 publications, 9.52%
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Genomics, Proteomics and Bioinformatics
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Genomics, Proteomics and Bioinformatics
2 publications, 9.52%
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Biochemical Society Transactions
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Biochemical Society Transactions
1 publication, 4.76%
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Coordination Chemistry Reviews
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Coordination Chemistry Reviews
1 publication, 4.76%
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Biochimica et Biophysica Acta - General Subjects
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Biochimica et Biophysica Acta - General Subjects
1 publication, 4.76%
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Wiley interdisciplinary reviews. RNA
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Wiley interdisciplinary reviews. RNA
1 publication, 4.76%
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Angewandte Chemie
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Angewandte Chemie
1 publication, 4.76%
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Angewandte Chemie - International Edition
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Angewandte Chemie - International Edition
1 publication, 4.76%
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Journal of the American Chemical Society
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Journal of the American Chemical Society
1 publication, 4.76%
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Biochemistry
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Biochemistry
1 publication, 4.76%
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Science advances
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Science advances
1 publication, 4.76%
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Proceedings of the National Academy of Sciences of the United States of America
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Proceedings of the National Academy of Sciences of the United States of America
1 publication, 4.76%
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Genes and Development
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Genes and Development
1 publication, 4.76%
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Quantitative Biology
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Quantitative Biology
1 publication, 4.76%
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2
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Citations by publishers
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3
4
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Elsevier
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Elsevier
4 publications, 19.05%
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Wiley
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Wiley
3 publications, 14.29%
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Oxford University Press
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Oxford University Press
2 publications, 9.52%
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American Chemical Society (ACS)
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American Chemical Society (ACS)
2 publications, 9.52%
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Portland Press
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Portland Press
1 publication, 4.76%
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American Association for the Advancement of Science (AAAS)
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American Association for the Advancement of Science (AAAS)
1 publication, 4.76%
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Proceedings of the National Academy of Sciences (PNAS)
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Proceedings of the National Academy of Sciences (PNAS)
1 publication, 4.76%
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Cold Spring Harbor Laboratory
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Cold Spring Harbor Laboratory
1 publication, 4.76%
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Higher Education Press
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Higher Education Press
1 publication, 4.76%
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4
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- We do not take into account publications that without a DOI.
- Statistics recalculated only for publications connected to researchers, organizations and labs registered on the platform.
- Statistics recalculated weekly.
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TY - JOUR
DO - 10.1016/j.molcel.2016.07.001
UR - https://doi.org/10.1016%2Fj.molcel.2016.07.001
TI - RNA Matchmaking: Finding Cellular Pairing Partners
T2 - Molecular Cell
AU - Graveley, Brenton R.
PY - 2016
DA - 2016/07/21 00:00:00
PB - Elsevier
SP - 186-189
IS - 2
VL - 63
PMID - 27447984
SN - 1097-2765
SN - 1097-4164
ER -
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@article{2016_Graveley,
author = {Brenton R. Graveley},
title = {RNA Matchmaking: Finding Cellular Pairing Partners},
journal = {Molecular Cell},
year = {2016},
volume = {63},
publisher = {Elsevier},
month = {jul},
url = {https://doi.org/10.1016%2Fj.molcel.2016.07.001},
number = {2},
pages = {186--189},
doi = {10.1016/j.molcel.2016.07.001}
}
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MLA
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Graveley, Brenton R.. “RNA Matchmaking: Finding Cellular Pairing Partners.” Molecular Cell, vol. 63, no. 2, Jul. 2016, pp. 186-189. https://doi.org/10.1016%2Fj.molcel.2016.07.001.