Evidence map›Paper›PMID 37216666›Full record

ArticleG3 (Bethesda, Md.)2023

Improving the annotation of the cattle genome by annotating transcription start sites in a diverse set of tissues and populations using Cap Analysis Gene Expression sequencing.

Mazdak Salavati, Richard Clark, Doreen Becker, Christa Kühn, Graham Plastow, Sébastien Dupont, Gabriel Costa Monteiro Moreira, Carole Charlier, Emily Louise Clark

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

5 citing papers in PubMed, 10 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

9 authors at 4 institutions in 4 countries.

Mazdak SalavatiThe Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK.ORCID 0000-0002-7349-2451
Richard ClarkEdinburgh Clinical Research Facility, Genetics Core, University of Edinburgh, Edinburgh EH4 2XU, UK.
Doreen BeckerInstitute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf 18196, Germany.
Christa KühnInstitute of Genome Biology, Research Institute for Farm Animal Biology (FBN), Dummerstorf 18196, Germany.
Graham PlastowDepartment of Agricultural, Food and Nutritional Science, Livestock Gentec, University of Alberta, Edmonton T6G 2H1, Canada.
Sébastien DupontUnit of Animal Genomics, GIGA Institute, University of Liège, Liège 4000, Belgium.
Gabriel Costa Monteiro MoreiraUnit of Animal Genomics, GIGA Institute, University of Liège, Liège 4000, Belgium.
Carole CharlierUnit of Animal Genomics, GIGA Institute, University of Liège, Liège 4000, Belgium.
Emily Louise ClarkThe Roslin Institute, University of Edinburgh, Edinburgh EH25 9RG, UK.
Roslin Institute · GBUniversity of Liège · BEResearch Institute for Farm Animal Biology (FBN) · DEUniversity of Alberta · CA

Funding

Biotechnology and Biological Sciences Research Council BB/S02008X/1Biotechnology and Biological Sciences Research Council BBS/E/D/10002070Biotechnology and Biological Sciences Research Council BBS/E/D/2021550Wellcome Trust
6 · The paper itself

Abstract

Understanding the genomic control of tissue-specific gene expression and regulation can help to inform the application of genomic technologies in farm animal breeding programs. The fine mapping of promoters [transcription start sites (TSS)] and enhancers (divergent amplifying segments of the genome local to TSS) in different populations of cattle across a wide diversity of tissues provides information to locate and understand the genomic drivers of breed- and tissue-specific characteristics. To this aim, we used Cap Analysis Gene Expression (CAGE) sequencing, of 24 different tissues from 3 populations of cattle, to define TSS and their coexpressed short-range enhancers (<1 kb) in the ARS-UCD1.2_Btau5.0.1Y reference genome (1000bulls run9) and analyzed tissue and population specificity of expressed promoters. We identified 51,295 TSS and 2,328 TSS-Enhancer regions shared across the 3 populations (dairy, beef-dairy cross, and Canadian Kinsella composite cattle from 2 individuals, 1 of each sex, per population). Cross-species comparative analysis of CAGE data from 7 other species, including sheep, revealed a set of TSS and TSS-Enhancers that were specific to cattle. The CAGE data set will be combined with other transcriptomic information for the same tissues to create a new high-resolution map of transcript diversity across tissues and populations in cattle for the BovReg project. Here we provide the CAGE data set and annotation tracks for TSS and TSS-Enhancers in the cattle genome. This new annotation information will improve our understanding of the drivers of gene expression and regulation in cattle and help to inform the application of genomic technologies in breeding programs.

Indexed as

Animals, DomesticGenomicsAnimalsCanadaCattleSheepTranscription Initiation SiteTranscriptomeBovRegCAGE-Seqcattle genomeEuroFAANGFAANGtranscription start site

Identifiers

PMID37216666
PMCPMC10411599
OpenAlexW4377565226

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.