Evidence map›Paper›PMID 38561663›Full record

ArticleBMC genomics2024

Mining key circRNA-associated-ceRNA networks for milk fat metabolism in cows with varying milk fat percentages.

Xiaofang Feng, Lijia Tong, Lina Ma, Tong Mu, Baojun Yu, Ruoshuang Ma, Jiwei Li, Chuanchuan Wang, Juan Zhang, Yaling Gu

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 5 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

10 authors at 3 institutions in 1 country.

Xiaofang Feng *Key Laboratory of Ruminant Molecular and Cellular Breeding, School of Agriculture, Ningxia University, 750021, Yinchuan, China.
Lijia Tong *Key Laboratory of Ruminant Molecular and Cellular Breeding, School of Agriculture, Ningxia University, 750021, Yinchuan, China.
Lina Ma *NingXia Academy of Agriculture and Forestry Sciences, 750002, Yinchuan, China.
Tong MuSchool of Life Science, Yan'an University, 716000, Yanan, China.
Baojun YuKey Laboratory of Ruminant Molecular and Cellular Breeding, School of Agriculture, Ningxia University, 750021, Yinchuan, China.
Ruoshuang MaKey Laboratory of Ruminant Molecular and Cellular Breeding, School of Agriculture, Ningxia University, 750021, Yinchuan, China.
Jiwei LiKey Laboratory of Ruminant Molecular and Cellular Breeding, School of Agriculture, Ningxia University, 750021, Yinchuan, China.
Chuanchuan WangKey Laboratory of Ruminant Molecular and Cellular Breeding, School of Agriculture, Ningxia University, 750021, Yinchuan, China.
Juan ZhangKey Laboratory of Ruminant Molecular and Cellular Breeding, School of Agriculture, Ningxia University, 750021, Yinchuan, China. zhangjuannxy@nxu.edu.cn.
Yaling GuKey Laboratory of Ruminant Molecular and Cellular Breeding, School of Agriculture, Ningxia University, 750021, Yinchuan, China.
Ningxia University · CNNingxia Academy of Agriculture and Forestry Sciences · CNYan'an University · CN

Funding

The Key Research Project of the Ningxia Hui Autonomous Region 2022BBF02017The special breeding project of high-quality and high-yield dairy cows in the Ningxia Autonomous Region 2019NYYZ05
6 · The paper itself

Abstract

backgroundCow milk fat is an essential indicator for evaluating and measuring milk quality and cow performance. Growing research has identified the molecular functions of circular RNAs (circRNAs) necessary for mammary gland development and lactation in mammals.

methodThe present study analyzed circRNA expression profiling data in mammary epithelial cells (MECs) from cows with highly variable milk fat percentage (MFP) using differential expression analysis and weighted gene co-expression network analysis (WGCNA).

resultsA total of 309 differentially expressed circRNAs (DE-circRNAs) were identified in the high and low MFP groups. WGCNA analysis revealed that the pink module was significantly associated with MFP (r = - 0.85, P = 0.007). Parental genes of circRNAs in this module were enriched mainly in lipid metabolism-related signaling pathways, such as focal adhesion, ECM-receptor interaction, adherens junction and AMPK. Finally, six DE-circRNAs were screened from the pink module: circ_0010571, circ_0007797, circ_0002746, circ_0003052, circ_0004319, and circ_0012840. Among them, circ_0002746, circ_0003052, circ_0004319, and circ_0012840 had circular structures and were highly expressed in mammary tissues. Subcellular localization revealed that these four DE-circRNAs may play a regulatory role in the mammary glands of dairy cows, mainly as competitive endogenous RNAs (ceRNAs). Seven hub target genes (GNB1, GNG2, PLCB1, PLCG1, ATP6V0C, NDUFS4, and PIGH) were obtained by constructing the regulatory network of their ceRNAs and then analyzed by CytoHubba and MCODE plugins in Cytoscape. Functional enrichment analysis revealed that these genes are crucial and most probable ceRNA regulators in milk fat metabolism.

conclusionsOur study identified several vital circRNAs and ceRNAs affecting milk fat synthesis, providing new research ideas and a theoretical basis for cow lactation, milk quality, and breed improvement.

Indexed as

MicroRNAsRNA, CircularAnimalsCattleFemaleGene Regulatory NetworksLactationLipid MetabolismMammalsMilkRNA, Competitive EndogenousMicroRNAsRNA, CircularRNA, Competitive EndogenousceRNAscircRNAsDairy cowsMilk fat percentageWGCNA

Identifiers

PMID38561663
PMCPMC10983688
OpenAlexW4393380892

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.