Evidence map›Paper›PMID 42238898›Full record

ArticleArchives animal breeding2025

Identification of highly expressed genes and efficient core promoters specific to buffalo skeletal muscles.

Jieping Huang, Duo Guo, Ruirui Zhu, Haopeng Wang, Chunyan Yang, Deshun Shi, Jianghua Shang

Abstract read
In one paragraph

Article in Archives animal breeding, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Jieping Huang *Guangxi Key Laboratory of Buffalo Genetics, Reproduction and Breeding, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, Guangxi 530001, China.ORCID https://orcid.org/0000-0001-9210-3995
Duo Guo *State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, Guangxi 530005, China.
Ruirui ZhuState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, Guangxi 530005, China.
Haopeng WangState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, Guangxi 530005, China.
Chunyan YangGuangxi Key Laboratory of Buffalo Genetics, Reproduction and Breeding, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, Guangxi 530001, China.
Deshun ShiState Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangxi Key Laboratory of Animal Breeding, Disease Control and Prevention, Guangxi University, Nanning, Guangxi 530005, China.
Jianghua ShangGuangxi Key Laboratory of Buffalo Genetics, Reproduction and Breeding, Buffalo Research Institute, Chinese Academy of Agricultural Sciences, Nanning, Guangxi 530001, China.ORCID https://orcid.org/0000-0003-1912-9085

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An efficient promoter with specific transcriptional activity plays significant roles in the regulation of expression of exogenous genes. The efficient promoter specific to skeletal muscles can achieve high expression of exogenous genes in skeletal muscles. This is of great significance for the targeted improvement of livestock meat quality by combining gene editing and traditional breeding techniques. To identify efficient promoters specific to the skeletal muscles of buffalo, in the present study, a total of 14 genes,

Identifiers

PMID42238898
PMCPMC13228153

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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.