Evidence map›Paper›PMID 29022589›Full record

ArticleNature2017

Dynamic landscape and regulation of RNA editing in mammals.

Meng How Tan, Qin Li, Raghuvaran Shanmugam, Robert Piskol, Jennefer Kohler, Amy N Young, Kaiwen Ivy Liu, Rui Zhang, Gokul Ramaswami, Kentaro Ariyoshi and 36 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 410 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
410citing papers in PubMed, 1 pooled it
28.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

410 citing papers in PubMed, 1 synthesis or guideline pooled it, 666 citations in OpenAlex.

  1. Pooled it
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  5. Review
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  7. Atlas of glomerular disease-specific genetic effects on blood transcriptome.medRxiv : the preprint server for health sciences · 2026
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350 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

46 authors at 13 institutions in 6 countries.

Meng How TanDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Qin LiDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Raghuvaran ShanmugamSchool of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore 637459, Singapore.
Robert PiskolDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Jennefer KohlerDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Amy N YoungDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Kaiwen Ivy LiuGenome Institute of Singapore, Agency for Science Technology and Research, Singapore 138672, Singapore.
Rui ZhangDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Gokul RamaswamiDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Kentaro AriyoshiThe Wistar Institute, Philadelphia, Pennsylvania 19104, USA.
Ankita GupteSt Vincent's Institute of Medical Research, Fitzroy, Victoria 3065, Australia.
Liam P KeeganMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Cyril X GeorgeDepartment of Molecular, Cellular and Developmental Biology, University of California-Santa Barbara, Santa Barbara, California 93106, USA.
Avinash RamuDepartment of Genetics, Washington University School of Medicine, St Louis, Missouri 63108, USA.
Ni HuangDepartment of Genetics, Washington University School of Medicine, St Louis, Missouri 63108, USA.
Elizabeth A PollinaDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Dena S LeemanDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Alessandra RustighiDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy and National Laboratory CIB (LNCIB), Area Science Park, 34149 Trieste, Italy.
Y P Sharon GohCardiovascular Research Institute, University of California-San Francisco, San Francisco, California 94158, USA.
GTEx Consortium
Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group
Statistical Methods groups—Analysis Working Group
Enhancing GTEx (eGTEx) groups
NIH Common Fund
NIH/NCI
NIH/NHGRI
NIH/NIMH
NIH/NIDA
Biospecimen Collection Source Site—NDRI
Biospecimen Collection Source Site—RPCI
Biospecimen Core Resource—VARI
Brain Bank Repository—University of Miami Brain Endowment Bank
Leidos Biomedical—Project Management
ELSI Study
Genome Browser Data Integration &Visualization—EBI
Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz
Ajay ChawlaCardiovascular Research Institute, University of California-San Francisco, San Francisco, California 94158, USA.
Giannino Del SalDepartment of Life Sciences, University of Trieste, 34127 Trieste, Italy and National Laboratory CIB (LNCIB), Area Science Park, 34149 Trieste, Italy.
Gary PeltzDepartment of Anesthesia, Stanford University School of Medicine, Stanford, California 94305, USA.
Anne BrunetDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Donald F ConradDepartment of Genetics, Washington University School of Medicine, St Louis, Missouri 63108, USA.
Charles E SamuelDepartment of Molecular, Cellular and Developmental Biology, University of California-Santa Barbara, Santa Barbara, California 93106, USA.
Mary A O'ConnellMRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh EH4 2XU, UK.
Carl R WalkleySt Vincent's Institute of Medical Research, Fitzroy, Victoria 3065, Australia.
Kazuko NishikuraThe Wistar Institute, Philadelphia, Pennsylvania 19104, USA.
Jin Billy LiDepartment of Genetics, Stanford University School of Medicine, Stanford, California 94305, USA.
Stanford University · USWashington University in St. Louis · USGenome Institute of Singapore · SGThe Wistar Institute · USUniversity of California, Santa Barbara · USAREA Science Park · ITCentral European Institute of Technology – Masaryk University · CZConsorzio Interuniversitario per le Biotecnologie · ITMRC Institute of Genetics and Molecular Medicine · GBSt Vincent's Hospital · AUSt Vincents Institute of Medical Research · AUUniversity of California, San Francisco · USUniversity of San Francisco · US

Funding

Tumor Microenvironment and MetastasisP30CA010815 · NCI · WISTAR INSTITUTE · PI Luis J Montaner · 1985 to 2026
$75.9M
The UCSC Genome BrowserU41HG002371 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI KENT, WILLIAM JAMES · 2012 to 2021
$36.6M
INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Wnt signaling in muscle stem cell agingP01AG036695 · NIA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI THOMAS A. RANDO · 2011 to 2026
$29.3M
Training SubprojectU54HG007990 · NHGRI · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI HAUSSLER, DAVID H, PATTERSON, DAVID · 2014 to 2018
$14.8M
UCSF Nutrition Obesity Research CenterP30DK098722 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHRISTIAN VAISSE · 2015 to 2026
$14.6M
STRUCTURE AND FUNCTION OF DSRNA ADENOSINE DEAMINASER01GM040536 · NIGMS · WISTAR INSTITUTE · PI NISHIKURA, KAZUKO · 1991 to 2021
$8.1M
LIMBIC &MEDULLARY MECH. IN COCAINE-RELATED SUDDEN DEATHR01DA006227 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MASH, DEBORAH C. · 1990 to 2012
$3.7M
Epigenetic Marks of Cocaine AddictionR01DA033684 · NIDA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MASH, DEBORAH C., TURECKI, GUSTAVO · 2011 to 2015
$3.6M
Innate Immune Mechanisms of ThermogenesisR01DK094641 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WANG, BIAO · 2011 to 2019
$3.5M
Profiling and Dissecting the Dynamic Regulation of RNA EditingR01GM102484 · NIGMS · STANFORD UNIVERSITY · PI LI, JIN BILLY · 2013 to 2021
$3.1M
MECHANISM OF INTERFERON ACTIONR01AI012520 · NIAID · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI SAMUEL, CHARLES E · 1985 to 2009
$3.1M
CCR NIH HHS HHSN261200800001CMedical Research Council MC_PC_U127584490Medical Research Council MC_U127584490NCI NIH HHS HHSN261200800001ENCI NIH HHS P30 CA010815NCI NIH HHS R01 CA175058NHGRI NIH HHS R01 HG007178NHGRI NIH HHS T32 HG000044NHGRI NIH HHS U01 HG007593NHGRI NIH HHS U01 HG007610NHGRI NIH HHS U41 HG002371NHGRI NIH HHS U54 HG007990NHLBI NIH HHS HHSN268201000029CNIAID NIH HHS R01 AI012520NIA NIH HHS P01 AG036695NIDA NIH HHS R01 DA006227NIDA NIH HHS R01 DA033684NIDDK NIH HHS P30 DK098722NIDDK NIH HHS R01 DK094641NIDDK NIH HHS R01 DK101064NIGMS NIH HHS R01 GM040536NIGMS NIH HHS R01 GM102484NIGMS NIH HHS R01 GM124215NIMH NIH HHS R01 MH090936NIMH NIH HHS R01 MH090937NIMH NIH HHS R01 MH090941NIMH NIH HHS R01 MH090948NIMH NIH HHS R01 MH090951NIMH NIH HHS R01 MH101782NIMH NIH HHS R01 MH101810NIMH NIH HHS R01 MH101814NIMH NIH HHS R01 MH101819NIMH NIH HHS R01 MH101820NIMH NIH HHS R01 MH101822NIMH NIH HHS R01 MH101825Wellcome Trust
6 · The paper itself

Abstract

Adenosine-to-inosine (A-to-I) RNA editing is a conserved post-transcriptional mechanism mediated by ADAR enzymes that diversifies the transcriptome by altering selected nucleotides in RNA molecules. Although many editing sites have recently been discovered, the extent to which most sites are edited and how the editing is regulated in different biological contexts are not fully understood. Here we report dynamic spatiotemporal patterns and new regulators of RNA editing, discovered through an extensive profiling of A-to-I RNA editing in 8,551 human samples (representing 53 body sites from 552 individuals) from the Genotype-Tissue Expression (GTEx) project and in hundreds of other primate and mouse samples. We show that editing levels in non-repetitive coding regions vary more between tissues than editing levels in repetitive regions. Globally, ADAR1 is the primary editor of repetitive sites and ADAR2 is the primary editor of non-repetitive coding sites, whereas the catalytically inactive ADAR3 predominantly acts as an inhibitor of editing. Cross-species analysis of RNA editing in several tissues revealed that species, rather than tissue type, is the primary determinant of editing levels, suggesting stronger cis-directed regulation of RNA editing for most sites, although the small set of conserved coding sites is under stronger trans-regulation. In addition, we curated an extensive set of ADAR1 and ADAR2 targets and showed that many editing sites display distinct tissue-specific regulation by the ADAR enzymes in vivo. Further analysis of the GTEx data revealed several potential regulators of editing, such as AIMP2, which reduces editing in muscles by enhancing the degradation of the ADAR proteins. Collectively, our work provides insights into the complex cis- and trans-regulation of A-to-I editing.

Indexed as

Adenosine DeaminaseRNA-Binding ProteinsAnimalsFemaleGenotypeHEK293 CellsHumansMaleMiceMusclesNuclear ProteinsOrgan SpecificityPrimatesProteolysisRNA EditingSpatio-Temporal AnalysisADAR1 protein, mouseADAR2 protein, mouseADARB1 protein, humanADAR protein, humanAdenosine DeaminaseAIMP2 protein, humanNuclear ProteinsRNA-Binding Proteins

Identifiers

PMID29022589
PMCPMC5723435
OpenAlexW2762506271

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.