Transcriptome identification of differential mammary genes of Kazakh horses during early pregnancy

•Identification of mammary gland molecular mechanism in mares during early pregnancy.•Rich regulation of differential mRNA and LncRNA target gene signaling pathways.•MAPK pathway and NF-kappa B signaling pathway mediate the initiation of lactation.•VNT4, DPP4, and NFKBIA are the key nodes of ceRNA....

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Veröffentlicht in:Gene 2024-04, Vol.902, p.148189-148189, Article 148189
Hauptverfasser: Ren, Wanlu, Wang, Jianwen, Zeng, Yaqi, Wang, Tongliang, Meng, Jun, Yao, Xinkui
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container_title Gene
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creator Ren, Wanlu
Wang, Jianwen
Zeng, Yaqi
Wang, Tongliang
Meng, Jun
Yao, Xinkui
description •Identification of mammary gland molecular mechanism in mares during early pregnancy.•Rich regulation of differential mRNA and LncRNA target gene signaling pathways.•MAPK pathway and NF-kappa B signaling pathway mediate the initiation of lactation.•VNT4, DPP4, and NFKBIA are the key nodes of ceRNA. Kazakh mares have attracted widespread attention with their outstanding lactation traits. Lactation is a complex dynamic process regulated by multiple factors. The extensive application of transcriptome sequencing technology enables researchers to further explore this biological issue. This study selected three pregnant and three non-pregnant Kazakh mares as the research subject. Their mammary glands were taken for transcriptome sequencing. The results show that there are 9 lncRNAs and 122 mRNAs differentially expressed between the two groups. GO enrichment analysis shows that there are 175 molecular functions, 59 cellular components, and 555 biological processes, including cellular hormone metabolic process, hormone catabolic process, and I-kappaB kinase/NF-kappaB signaling. KEGG enrichment analysis exhibits that these differential genes are mainly enriched in the NF-kappa B signaling pathway, steroid hormone biosynthesis, breast cancer, ECM-receptor interaction, and MAPK signaling pathway. WNT4, DPP4, and NFKBIA are key nodes regulating breast activation. Conclusions: Through the comparative analysis of the transcriptome data of mammary tissues of pregnant and non-pregnant mares, relevant differentially expressed genes are screened and analyzed. This study provides valuable fundamental data for investigating candidate genes related to the lactation regulation and mammogenesis of Kazakh horses.
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Kazakh mares have attracted widespread attention with their outstanding lactation traits. Lactation is a complex dynamic process regulated by multiple factors. The extensive application of transcriptome sequencing technology enables researchers to further explore this biological issue. This study selected three pregnant and three non-pregnant Kazakh mares as the research subject. Their mammary glands were taken for transcriptome sequencing. The results show that there are 9 lncRNAs and 122 mRNAs differentially expressed between the two groups. GO enrichment analysis shows that there are 175 molecular functions, 59 cellular components, and 555 biological processes, including cellular hormone metabolic process, hormone catabolic process, and I-kappaB kinase/NF-kappaB signaling. KEGG enrichment analysis exhibits that these differential genes are mainly enriched in the NF-kappa B signaling pathway, steroid hormone biosynthesis, breast cancer, ECM-receptor interaction, and MAPK signaling pathway. WNT4, DPP4, and NFKBIA are key nodes regulating breast activation. Conclusions: Through the comparative analysis of the transcriptome data of mammary tissues of pregnant and non-pregnant mares, relevant differentially expressed genes are screened and analyzed. 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Kazakh mares have attracted widespread attention with their outstanding lactation traits. Lactation is a complex dynamic process regulated by multiple factors. The extensive application of transcriptome sequencing technology enables researchers to further explore this biological issue. This study selected three pregnant and three non-pregnant Kazakh mares as the research subject. Their mammary glands were taken for transcriptome sequencing. The results show that there are 9 lncRNAs and 122 mRNAs differentially expressed between the two groups. GO enrichment analysis shows that there are 175 molecular functions, 59 cellular components, and 555 biological processes, including cellular hormone metabolic process, hormone catabolic process, and I-kappaB kinase/NF-kappaB signaling. KEGG enrichment analysis exhibits that these differential genes are mainly enriched in the NF-kappa B signaling pathway, steroid hormone biosynthesis, breast cancer, ECM-receptor interaction, and MAPK signaling pathway. WNT4, DPP4, and NFKBIA are key nodes regulating breast activation. Conclusions: Through the comparative analysis of the transcriptome data of mammary tissues of pregnant and non-pregnant mares, relevant differentially expressed genes are screened and analyzed. 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subjects Animals
biosynthesis
breast neoplasms
breasts
catabolism
Female
Gene Expression Profiling - methods
gene expression regulation
genes
Hormones
Horses - genetics
Kazakh horse
lactation
Lactation - genetics
lncRNA
mammary development
Mammary gland
mRNA
Pregnancy
RNA, Messenger - genetics
steroid hormones
Transcriptome
wnt proteins
title Transcriptome identification of differential mammary genes of Kazakh horses during early pregnancy
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