Evidence map›Paper›PMID 28915238›Full record

ArticlePLoS genetics2017

A high resolution atlas of gene expression in the domestic sheep (Ovis aries).

Emily L Clark, Stephen J Bush, Mary E B McCulloch, Iseabail L Farquhar, Rachel Young, Lucas Lefevre, Clare Pridans, Hiu G Tsang, Chunlei Wu, Cyrus Afrasiabi and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed
6.1field-weighted citation impact, top 2% 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

90 citing papers in PubMed, 204 citations in OpenAlex.

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  19. Recent advances in the genomic resources for sheep.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  20. Article

30 more citing papers are in PubMed but not listed here.

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

16 authors at 3 institutions in 3 countries.

Emily L ClarkThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.ORCID http://orcid.org/0000-0002-9550-7407
Stephen J BushThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Mary E B McCullochThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.ORCID http://orcid.org/0000-0002-1049-0870
Iseabail L FarquharThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Rachel YoungThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Lucas LefevreThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Clare PridansThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Hiu G TsangThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Chunlei WuDepartment of Integrative and Computational Biology, The Scripps Research Institute, La Jolla, CA, United States of America.ORCID http://orcid.org/0000-0002-2629-6124
Cyrus AfrasiabiDepartment of Integrative and Computational Biology, The Scripps Research Institute, La Jolla, CA, United States of America.
Mick WatsonThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
C Bruce WhitelawThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Tom C FreemanThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Kim M SummersThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.ORCID http://orcid.org/0000-0002-7084-4386
Alan L ArchibaldThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
David A HumeThe Roslin Institute and Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Roslin Institute · GBScripps Research Institute · USTranslational Research Institute · AU

Funding

BioGPS: Extensible Web 2.0 gene portal for structured and unstructured annotationR01GM083924 · NIGMS · SCRIPPS RESEARCH INSTITUTE, THE · PI SU, ANDREW I, WU, CHUNLEI · 2008 to 2021
$5.6M
Biotechnology and Biological Sciences Research Council BB/E016812/1Biotechnology and Biological Sciences Research Council BB/I001107/1Biotechnology and Biological Sciences Research Council BB/L001209/1Biotechnology and Biological Sciences Research Council BBS/E/D/05191130Biotechnology and Biological Sciences Research Council BBS/E/D/05191131Biotechnology and Biological Sciences Research Council BBS/E/D/05251443Biotechnology and Biological Sciences Research Council BBS/E/D/05251444Biotechnology and Biological Sciences Research Council BBS/E/D/20211550Biotechnology and Biological Sciences Research Council BBS/E/D/20211551Biotechnology and Biological Sciences Research Council BBS/E/D/20211552Biotechnology and Biological Sciences Research Council BBS/E/R/00001608Medical Research Council MR/K001744/1NIGMS NIH HHS R01 GM083924
6 · The paper itself

Abstract

Sheep are a key source of meat, milk and fibre for the global livestock sector, and an important biomedical model. Global analysis of gene expression across multiple tissues has aided genome annotation and supported functional annotation of mammalian genes. We present a large-scale RNA-Seq dataset representing all the major organ systems from adult sheep and from several juvenile, neonatal and prenatal developmental time points. The Ovis aries reference genome (Oar v3.1) includes 27,504 genes (20,921 protein coding), of which 25,350 (19,921 protein coding) had detectable expression in at least one tissue in the sheep gene expression atlas dataset. Network-based cluster analysis of this dataset grouped genes according to their expression pattern. The principle of 'guilt by association' was used to infer the function of uncharacterised genes from their co-expression with genes of known function. We describe the overall transcriptional signatures present in the sheep gene expression atlas and assign those signatures, where possible, to specific cell populations or pathways. The findings are related to innate immunity by focusing on clusters with an immune signature, and to the advantages of cross-breeding by examining the patterns of genes exhibiting the greatest expression differences between purebred and crossbred animals. This high-resolution gene expression atlas for sheep is, to our knowledge, the largest transcriptomic dataset from any livestock species to date. It provides a resource to improve the annotation of the current reference genome for sheep, presenting a model transcriptome for ruminants and insight into gene, cell and tissue function at multiple developmental stages.

Indexed as

Gene Expression ProfilingGenomeAnimalsBreedingCluster AnalysisMilkOrgan SpecificitySheep, DomesticTranscriptome

Identifiers

PMID28915238
PMCPMC5626511
OpenAlexW2951942625

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.