Evidence map›Paper›PMID 35351103›Full record

ArticleBMC biology2022

Transcriptional atlas analysis from multiple tissues reveals the expression specificity patterns in beef cattle.

Tianliu Zhang, Tianzhen Wang, Qunhao Niu, Lei Xu, Yan Chen, Xue Gao, Huijiang Gao, Lupei Zhang, George E Liu, Junya Li and 1 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 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
17.4field-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

32 citing papers in PubMed, 81 citations in OpenAlex.

  1. Article
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  3. Pan-tissue transcriptomic profiling of dairy cattle.Journal of animal science and biotechnology · 2026
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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

11 authors at 2 institutions in 2 countries.

Tianliu Zhang *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Tianzhen Wang *Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Qunhao NiuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Lei XuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Yan ChenInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Xue GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Huijiang GaoInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
Lupei ZhangInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China.
George E LiuAnimal Genomics and Improvement Laboratory, United States Department of Agriculture, Agricultural Research Service, Beltsville, Maryland, 20705, USA.
Junya LiInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China. lijunya@caas.cn.
Lingyang XuInstitute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing, 100193, People's Republic of China. xulingyang@caas.cn.
Chinese Academy of Agricultural Sciences · CNUnited States Department of Agriculture · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundA comprehensive analysis of gene expression profiling across tissues can provide necessary information for an in-depth understanding of their biological functions. We performed a large-scale gene expression analysis and generated a high-resolution atlas of the transcriptome in beef cattle.

resultsOur transcriptome atlas was generated from 135 bovine tissues in adult beef cattle, covering 51 tissue types of major organ systems (e.g., muscular system, digestive system, immune system, reproductive system). Approximately 94.76% of sequencing reads were successfully mapped to the reference genome assembly ARS-UCD1.2. We detected a total of 60,488 transcripts, and 32% of them were not reported before. We identified 2654 housekeeping genes (HKGs) and 477 tissue-specific genes (TSGs) across tissues. Using weighted gene co-expression network analysis, we obtained 24 modules with 237 hub genes (HUBGs). Functional enrichment analysis showed that HKGs mainly maintain the basic biological activities of cells, while TSGs were involved in tissue differentiation and specific physiological processes. HKGs in bovine tissues were more conserved in terms of expression pattern as compared to TSGs and HUBGs among multiple species. Finally, we obtained a subset of tissue-specific differentially expressed genes (DEGs) between beef and dairy cattle and several functional pathways, which may be involved in production and health traits.

conclusionsWe generated a large-scale gene expression atlas across the major tissues in beef cattle, providing valuable information for enhancing genome assembly and annotation. HKGs, TSGs, and HUBGs further contribute to better understanding the biology and evolution of multiple tissues in cattle. DEGs between beef and dairy cattle also fill in the knowledge gaps about differential transcriptome regulation of bovine tissues underlying economically important traits.

Indexed as

AscomycotaGene Expression ProfilingAnimalsCattlePhenotypeTranscriptomeBeef cattleCo-expression networkDifferentially expressed genesGene expressionHousekeeping genesTissue-specific genes

Identifiers

PMID35351103
PMCPMC8966188
OpenAlexW4221096971

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.