Evidence map›Paper›PMID 26917558›Full record

ArticleRNA (New York, N.Y.)2016

Guidelines for the functional annotation of microRNAs using the Gene Ontology.

Rachael P Huntley, Dmitry Sitnikov, Marija Orlic-Milacic, Rama Balakrishnan, Peter D'Eustachio, Marc E Gillespie, Doug Howe, Anastasia Z Kalea, Lars Maegdefessel, David Osumi-Sutherland and 7 more

Abstract read
In one paragraph

Article in RNA (New York, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
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

28 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. RNAenrich: a web server for non-coding RNA enrichment.Bioinformatics (Oxford, England) · 2023
    Article
  11. Interactive Web-based Annotation of Plant MicroRNAs with iwa-miRNA.Genomics, proteomics & bioinformatics · 2022
    Article
  12. Article
  13. emiRIT: a text-mining-based resource for microRNA information.Database : the journal of biological databases and curation · 2021
    Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. miRBase: from microRNA sequences to function.Nucleic acids research · 2019
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Rachael P HuntleyCentre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.ORCID http://orcid.org/0000-0001-6718-3559
Dmitry SitnikovThe Jackson Laboratory, Bar Harbor, Maine 04609, USA.ORCID http://orcid.org/0000-0002-5283-5283
Marija Orlic-MilacicOntario Institute for Cancer Research, Toronto, Ontario, M5G0A3, Canada.ORCID http://orcid.org/0000-0002-3218-5631
Rama BalakrishnanDepartment of Genetics, Stanford University, MC-5477 Stanford, California 94305, USA.ORCID http://orcid.org/0000-0003-2468-9933
Peter D'EustachioDepartment of Biochemistry and Molecular Pharmacology, NYU School of Medicine, New York, New York 10016, USA.
Marc E GillespieCollege of Pharmacy and Health Sciences, St. John's University, Queens, New York 11439, USA.ORCID http://orcid.org/0000-0002-5766-1702
Doug HoweZebrafish Model Organism Database, 5291 University of Oregon Eugene, Oregon 97403-5291, USA.ORCID http://orcid.org/0000-0001-5831-7439
Anastasia Z KaleaCentre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.ORCID http://orcid.org/0000-0001-5775-3984
Lars MaegdefesselKarolinska Institute, Department of Medicine, Center for Molecular Medicine (CMM) L8:03, Stockholm 17176, Sweden.ORCID http://orcid.org/0000-0001-5228-2634
David Osumi-SutherlandEuropean Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Trust Genome Campus, Hinxton CB10 1SD, Cambridge, UK.ORCID http://orcid.org/0000-0002-7073-9172
Victoria PetriHuman and Molecular Genetics Center, Medical College of Wisconsin Department of Physiology, Medical College of Wisconsin Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA.ORCID http://orcid.org/0000-0002-5540-8498
Jennifer R SmithHuman and Molecular Genetics Center, Medical College of Wisconsin Department of Physiology, Medical College of Wisconsin Department of Surgery, Medical College of Wisconsin, Milwaukee, Wisconsin 53226, USA.
Kimberly Van AukenDivision of Biology, California Institute of Technology, Pasadena, California 91125, USA.ORCID http://orcid.org/0000-0002-1706-4196
Valerie WoodCambridge Systems Biology and Department of Biochemistry, University of Cambridge, Sanger Building, Cambridge CB2 1GA, United Kingdom.ORCID http://orcid.org/0000-0001-6330-7526
Anna ZampetakiKing's British Heart Foundation Centre, King's College London, London SE5 9NU, United Kingdom.
Manuel MayrKing's British Heart Foundation Centre, King's College London, London SE5 9NU, United Kingdom.ORCID http://orcid.org/0000-0002-0597-829X
Ruth C LoveringCentre for Cardiovascular Genetics, Institute of Cardiovascular Science, University College London, London WC1E 6JF, United Kingdom.ORCID http://orcid.org/0000-0002-9791-0064

Funding

SOFTWARE AND DATABASE SYSTEM DEVELOPMENTP41HG000330 · NHGRI · JACKSON LABORATORY · PI RICHARDSON, JOEL E. · 1995 to 2010
$72.1M
RAT GENOME DATABASER01HL064541 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI ANNE E. KWITEK · 1999 to 2026
$50.0M
Mouse Genome DatabaseU41HG000330 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A, BULT, CAROL J · 2011 to 2020
$45.5M
Resource ProjectU41HG002273 · NHGRI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMAS, PAUL D. · 2012 to 2021
$34.7M
ZFIN: The Zebrafish Model Organism DatabaseU41HG002659 · NHGRI · UNIVERSITY OF OREGON · PI EAGLE, ANNE · 2011 to 2020
$30.7M
ZFIN:THE ZEBRAFISH MODEL ORGANISM DATABASEP41HG002659 · NHGRI · UNIVERSITY OF OREGON · PI WESTERFIELD, MONTE · 2003 to 2010
$21.2M
TRAININGU54GM114833 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LINDSEY, MERRY L., PING, PEIPEI · 2014 to 2017
$13.8M
ZFIN: The Zebrafish Model Organism DatabaseU24HG002659 · NHGRI · UNIVERSITY OF OREGON · PI WESTERFIELD, MONTE · 2021 to 2025
$10.8M
GENE ONTOLOGY CONSORTIUMR01HG002273 · NHGRI · JACKSON LABORATORY · PI BLAKE, JUDITH A · 2001 to 2003
$5.8M
Reactome: An Open Knowledgebase of Human PathwaysP41HG003751 · NHGRI · ONTARIO INSTITUTE FOR CANCER RESEARCH · PI STEIN, LINCOLN D. · 2007 to 2011
$4.5M
MULTI-LEVEL ANALYSIS AND DISPLAY OF MOUSE GENOME DATAP01HG000330 · NHGRI · JACKSON LABORATORY · PI EPPIG, JANAN T. · 1990 to 1994
–
British Heart Foundation FS/13/18/30207British Heart Foundation FS/13/2/29892British Heart Foundation RG/13/5/30112British Heart Foundation SP/12/5/29574Diabetes UK 12/0004530NHGRI NIH HHS HG002273NHGRI NIH HHS HG002659NHGRI NIH HHS HG-00330NHGRI NIH HHS P41 HG000330NHGRI NIH HHS P41 HG002659NHGRI NIH HHS P41 HG003751NHGRI NIH HHS R01 HG002273NHGRI NIH HHS U24 HG002659NHGRI NIH HHS U41 HG000330NHGRI NIH HHS U41 HG002273NHGRI NIH HHS U41 HG002659NHLBI NIH HHS HL64541NHLBI NIH HHS R01 HL064541NIGMS NIH HHS U54 GM114833NIGMS NIH HHS U54GM114833Wellcome Trust 104967Wellcome Trust 104967/Z/14/Z
6 · The paper itself

Abstract

MicroRNA regulation of developmental and cellular processes is a relatively new field of study, and the available research data have not been organized to enable its inclusion in pathway and network analysis tools. The association of gene products with terms from the Gene Ontology is an effective method to analyze functional data, but until recently there has been no substantial effort dedicated to applying Gene Ontology terms to microRNAs. Consequently, when performing functional analysis of microRNA data sets, researchers have had to rely instead on the functional annotations associated with the genes encoding microRNA targets. In consultation with experts in the field of microRNA research, we have created comprehensive recommendations for the Gene Ontology curation of microRNAs. This curation manual will enable provision of a high-quality, reliable set of functional annotations for the advancement of microRNA research. Here we describe the key aspects of the work, including development of the Gene Ontology to represent this data, standards for describing the data, and guidelines to support curators making these annotations. The full microRNA curation guidelines are available on the GO Consortium wiki (http://wiki.geneontology.org/index.php/MicroRNA_GO_annotation_manual).

Indexed as

Guidelines as TopicAnimalsGene SilencingHumansMiceMicroRNAsMicroRNAsanalysisannotationbiocurationfunctionGOmicroRNA

Identifiers

PMID26917558
PMCPMC4836642

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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.