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Transite: A Computational Motif-Based Analysis Platform That Identifies RNA-Binding Proteins Modulating Changes in Gene Expression
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Transite: A Computational Motif-Based Analysis Platform That Identifies RNA-Binding Proteins Modulating Changes in Gene Expression
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1-s2.0-S2211124720310494-main.pdf
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Published version
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sword-2021-08-04T15:09:52.original.xml (130 B)
Original SWORD entry document
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Author(s)
Krismer, Konstantin
•
Bird, Molly A
•
Varmeh, Shohreh
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Handly, Erika D
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Gattinger, Anna
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Bernwinkler, Thomas
•
Anderson, Daniel A
•
Heinzel, Andreas
•
Joughin, Brian A
•
Kong, Yi Wen
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Date Issued
2020
Journal
Cell Reports
Publisher
Elsevier BV
Version
Final published version
Abstract
© 2020 The Author(s) Krismer et al. present a computational approach to identify RNA-binding proteins (RBPs) that modulate post-transcriptional control of gene expression using RNA expression data as inputs. By applying this approach to publicly available patient datasets, they identify and experimentally confirm that the RBP hnRNPC contributes to chemotherapy resistance in lung cancer.
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Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
http://creativecommons.org/licenses/by-nc-nd/4.0/
Persistent DSpace Link
https://hdl.handle.net/1721.1/134134
DOI of Published Version
10.1016/j.celrep.2020.108064
