Evidence map›Paper›PMID 35073880›Full record

ArticleBMC biology2022

Genome-wide annotation of protein-coding genes in pig.

Max Karlsson, Evelina Sjöstedt, Per Oksvold, Åsa Sivertsson, Jinrong Huang, María Bueno Álvez, Muhammad Arif, Xiangyu Li, Lin Lin, Jiaying Yu and 18 more

Open access · goldAbstract read
In one paragraph

Article in BMC biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
9.2field-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

23 citing papers in PubMed, 37 citations in OpenAlex.

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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

28 authors at 5 institutions in 3 countries.

Max Karlsson *Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Evelina Sjöstedt *Department of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Per OksvoldDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Åsa SivertssonDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Jinrong HuangBGI-Shenzhen, Shenzhen, China.
María Bueno ÁlvezDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Muhammad ArifDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Xiangyu LiDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Lin LinDepartment of Biomedicine, Aarhus University, Aarhus, Denmark.
Jiaying YuBGI-Shenzhen, Shenzhen, China.
Tao MaMGI, BGI-Shenzhen, Shenzhen, China.
Fengping XuBGI-Shenzhen, Shenzhen, China.
Peng HanLars Bolund Institute of Regenerative Medicine, Qingdao-Europe Advanced Institute for Life Sciences, BGI-Qingdao, Qingdao, China.
Hui JiangMGI, BGI-Shenzhen, Shenzhen, China.
Adil MardinogluDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Cheng ZhangDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Kalle von FeilitzenDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Xun XuBGI-Shenzhen, Shenzhen, China.
Jian WangBGI-Shenzhen, Shenzhen, China.
Huanming YangBGI-Shenzhen, Shenzhen, China.
Lars BolundBGI-Shenzhen, Shenzhen, China.
Wen ZhongDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Linn FagerbergDepartment of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden.
Cecilia LindskogDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Fredrik PonténDepartment of Immunology, Genetics and Pathology, Uppsala University, Uppsala, Sweden.
Jan MulderDepartment of Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Yonglun Luo *BGI-Shenzhen, Shenzhen, China.
Mathias Uhlen *Department of Protein Science, Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden. mathias.uhlen@scilifelab.se.ORCID 0000-0002-4858-8056
Science for Life Laboratory · SEBGI Group (China) · CNUppsala University · SEKarolinska Institutet · SESteno Diabetes Centers · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is a need for functional genome-wide annotation of the protein-coding genes to get a deeper understanding of mammalian biology. Here, a new annotation strategy is introduced based on dimensionality reduction and density-based clustering of whole-body co-expression patterns. This strategy has been used to explore the gene expression landscape in pig, and we present a whole-body map of all protein-coding genes in all major pig tissues and organs.

resultsAn open-access pig expression map ( www.rnaatlas.org ) is presented based on the expression of 350 samples across 98 well-defined pig tissues divided into 44 tissue groups. A new UMAP-based classification scheme is introduced, in which all protein-coding genes are stratified into tissue expression clusters based on body-wide expression profiles. The distribution and tissue specificity of all 22,342 protein-coding pig genes are presented.

conclusionsHere, we present a new genome-wide annotation strategy based on dimensionality reduction and density-based clustering. A genome-wide resource of the transcriptome map across all major tissues and organs in pig is presented, and the data is available as an open-access resource ( www.rnaatlas.org ), including a comparison to the expression of human orthologs.

Indexed as

GenomeGenomicsAnimalsGene Expression ProfilingMammalsMolecular Sequence AnnotationOrgan SpecificitySwineTranscriptomeAnnotationGene expressionGenome-wideProtein-coding genesTissue expression profileTranscriptome

Identifiers

PMID35073880
PMCPMC8788080
OpenAlexW4207005510

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.