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UCL Discovery
Article . 2020
Data sources: UCL Discovery
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Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms
Article . 2020 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Non-coding RNA regulatory networks

Authors: Panni S.; Lovering R. C.; Porras P.; Orchard S.;

Non-coding RNA regulatory networks

Abstract

It is well established that the vast majority of human RNA transcripts do not encode for proteins and that non-coding RNAs regulate cell physiology and shape cellular functions. A subset of them is involved in gene regulation at different levels, from epigenetic gene silencing to post-transcriptional regulation of mRNA stability. Notably, the aberrant expression of many non-coding RNAs has been associated with aggressive pathologies. Rapid advances in network biology indicates that the robustness of cellular processes is the result of specific properties of biological networks such as scale-free degree distribution and hierarchical modularity, suggesting that regulatory network analyses could provide new insights on gene regulation and dysfunction mechanisms. In this study we present an overview of public repositories where non-coding RNA-regulatory interactions are collected and annotated, we discuss unresolved questions for data integration and we recall existing resources to build and analyse networks.

Countries
United Kingdom, Italy
Keywords

MicroRNAs, RNA, Untranslated, Gene Expression Regulation, Transcription, Genetic, RNA, Long Noncoding, RNA, Circular

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
365
Top 0.1%
Top 10%
Top 0.1%
Green
bronze