Evidence map›Paper›PMID 40456801›Full record

ArticleScientific data2025

Transcriptomics data for muscle development in Goats.

Yu Pei, Rongsheng Xi, Wenmeng Jiang, Peng Huang, Mei Liu

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Yu Pei *College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, China.
Rongsheng Xi *College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, China.
Wenmeng Jiang *College of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, China.
Peng HuangYuelushan Laboratory, Changsha, 410000, China. huangpeng@hunau.edu.cn.
Mei LiuCollege of Animal Science and Technology, Hunan Agricultural University, Changsha, 410128, China. Mei.liu@hunau.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Goats play a significant role in global livestock production and are highly valued for their meat, which is both nutritious and easily digestible. The longissimus dorsi and biceps femoris muscles are not only critical for goat locomotion and weight support but also serve as primary determinants of meat quality and nutritional value. To elucidate the gene expression patterns and genetic regulatory mechanisms underlying goat muscle development, this study collected longissimus dorsi and biceps femoris muscles from pregnant goats in late gestation and their fetuses. Full-length transcriptome sequencing was performed with the Oxford Nanopore Technologies (ONT) platform, generating 169,768,069 valid reads, 127,954,092 of which were successfully aligned to the reference genome, with an average N50 value of 1042.29. Data processing and assembly identified 58,092 full-length transcripts, with 50,338 annotated based on databases such as NR, Uniprot, GO, KEGG, and Pfam. Notably, this study identified 89,468 alternative splicing (AS) events across seven categories and predicted 5,538 potential long non-coding RNAs (lncRNAs) in two muscle tissues using three prediction methods. These findings substantially enhance the goat full-length transcriptome database and provide crucial data for uncovering functional genes, epigenetic regulation, and early nutritional intervention strategies relevant to goat meat quality. The open sharing of this dataset aims to advance the academic understanding of goat muscle development and its genetic basis, thereby promoting precision breeding strategies and the sustainable development of meat goat production.

Indexed as

GoatsMuscle DevelopmentMuscle, SkeletalTranscriptomeAlternative SplicingAnimalsFemalePregnancyRNA, Long NoncodingRNA, Long Noncoding

Identifiers

PMID40456801
PMCPMC12130269

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.