Evidence map›Paper›PMID 38790271›Full record

ArticleGenes2024

Whole-Transcriptome Analysis Sheds Light on the Biological Contexts of Intramuscular Fat Deposition in Ningxiang Pigs.

Zhao Jin, Hu Gao, Yawei Fu, Ruimin Ren, Xiaoxiao Deng, Yue Chen, Xiaohong Hou, Qian Wang, Gang Song, Ningyu Fan and 3 more

Abstract read
In one paragraph

Article in Genes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

13 authors.

Zhao JinCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Hu GaoCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0003-2402-9978
Yawei FuCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0001-7116-2355
Ruimin RenKey Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.ORCID 0000-0002-5743-4171
Xiaoxiao DengKey Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.ORCID 0000-0002-7675-4584
Yue ChenKey Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
Xiaohong HouKey Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.
Qian WangCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0009-0006-8005-5475
Gang SongCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Ningyu FanCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Haiming MaCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.ORCID 0000-0002-2702-2440
Yulong YinCollege of Animal Science and Technology, Hunan Agricultural University, Changsha 410128, China.
Kang XuKey Laboratory of Agroecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China.ORCID 0000-0002-8568-1540

Funding

the Laboratory of Lingnan Modern Agriculture Project NT2021005the Natural Science Foundation of Hu-nan Province Project 2023JJ20043 and 2020JJ5635The science and technology innovation Program of Hunan Province 2023RC3204the Special Funds for the Construction of Innovative Provinces in Hunan 2021NK1009 and 2021NK1012the Strategic Priority Research Program of the Chinese Academy of Sciences (Precision Seed De-sign and Breeding) XDA24030204
6 · The paper itself

Abstract

The quality of pork is significantly impacted by intramuscular fat (IMF). However, the regulatory mechanism of IMF depositions remains unclear. We performed whole-transcriptome sequencing of the longissimus dorsi muscle (IMF) from the high (5.1 ± 0.08) and low (2.9 ± 0.51) IMF groups (%) to elucidate potential mechanisms. In summary, 285 differentially expressed genes (DEGs), 14 differentially expressed miRNAs (DEMIs), 83 differentially expressed lncRNAs (DELs), and 79 differentially expressed circRNAs (DECs) were identified. DEGs were widely associated with IMF deposition and liposome differentiation. Furthermore, competing endogenous RNA (ceRNA) regulatory networks were constructed through co-differential expression analyses, which included circRNA-miRNA-mRNA (containing 6 DEMIs, 6 DEGs, 47 DECs) and lncRNA-miRNA-mRNA (containing 6 DEMIs, 6 DEGs, 36 DELs) regulatory networks. The circRNAs sus-TRPM7_0005, sus-MTUS1_0004, the lncRNAs SMSTRG.4269.1, and MSTRG.7983.2 regulate the expression of six lipid metabolism-related target genes, including

Indexed as

Gene Regulatory NetworksMicroRNAsRNA, Long NoncodingTranscriptomeAdipose TissueAnimalsGene Expression ProfilingLipid MetabolismMuscle, SkeletalRNA, CircularRNA, MessengerSwineMicroRNAsRNA, CircularRNA, Long NoncodingRNA, Messengerintramuscular fatmeat qualitymRNAnon-coding RNApig

Identifiers

PMID38790271
PMCPMC11121357

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.