Evidence map›Paper›PMID 33643382›Full record

ArticleFrontiers in genetics2021

Transcriptome Characterization of Short Distance Transport Stress in Beef Cattle Blood.

Haidong Zhao, Xiaoqin Tang, Mingli Wu, Qi Li, Xiaohua Yi, Shirong Liu, Junyi Jiang, Shuhui Wang, Xiuzhu Sun

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.0field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 21 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 1 institution in 1 country.

Haidong ZhaoCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Xiaoqin TangCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Mingli WuCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Qi LiCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Xiaohua YiCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Shirong LiuCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Junyi JiangCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Shuhui WangCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Xiuzhu SunCollege of Animal Science and Technology, Northwest A&F University, Yangling, China.
Northwest A&F University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The transportation is a crucial phase in beef cattle industry, and the annual losses caused by beef cattle transport stress are substantial. Several studies have described the effect of long distance transportation stress on animal health, such as disorder in nervous, endocrine, immune, and metabolic system. However, molecular mechanisms underlying short distance transportation stress is still poorly understood. Present study aims to investigate the effect of short distance transportation by measuring the hematological indices and transcriptomic analysis. In this study, a total 10 Qinchuan cattle were used to compare the molecular characteristics of blood before and after transportation. We have found that a stress-related marker "white blood cell count (WBC)" increased significantly after transportation. The decrease in triglyceride (TG), cholestenone (CHO), high-density lipoprotein (HDL), and low-density lipoprotein (LDL) showed that energy expenditure was increased after transportation, but not enough to activate fatty decomposition. Intriguingly, the decrease of malondialdehyde (MDA) showed that cattle were more resilience to oxidative stress. The RNA-seq showed that 1,092 differentially expressed genes (DEGs) were found (329 up-regulated and 763 down-regulated) between group before and group after. The GO and KEGG enrichment showed that the metabolic pathway and B cell function related pathways were enriched. Furthermore, median absolute deviation (MAD) top 5,000 genes were used to construct a co-expression network by weighted correlation network analysis (WGCNA), and 11 independent modules were identified. Combing with protein-protein interaction (PPI) analysis, the verification of quantitative real-time PCR (qPCR) and the correlation of B cell function,

Indexed as

beef cattleco-expressionhematological indicesRNA-seqtransportation stress

Identifiers

PMID33643382
PMCPMC7902800
OpenAlexW3128525095

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.