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十种必需氨基酸刺激的牛乳腺上皮细胞多组学数据集。

Multi-omics dataset of bovine mammary epithelial cells stimulated by ten different essential amino acids.

机构信息

College of Animal Science and Technology, Qingdao Agricultural University, Qingdao, 266109, P. R. China.

College of Veterinary Medicine, Qingdao Agricultural University, Qingdao, 266109, P. R. China.

出版信息

Sci Data. 2024 Mar 12;11(1):288. doi: 10.1038/s41597-024-03123-4.

DOI:10.1038/s41597-024-03123-4
PMID:38472222
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10933356/
Abstract

Application of high-throughput sequencing and screening help to detect the transcriptional and metabolic discrepancies in organs provided with various levels of nutrients. The influences of individual essential amino acid (EAA) administration on transcriptomic and metabolomic profilings of bovine mammary epithelial cells (BMECs) were systematically investigated. A RNA sequencing and liquid chromatography-tandem mass spectrometry generated a comprehensive comparison of transcriptomics, non-targeted metabolomics and targeted amino acids profilings of BMECs with individual EAA stimulation by turn. The sequencing data and raw LC-MS/MS data of samples were presented in the databases of Gene Expression Omnibus, MetaboLights and Figshare for efficient reuse, including exploring the divergences in metabolisms between different EAAs and screening valuable genes and metabolites regulating casein synthesis.

摘要

高通量测序和筛选的应用有助于检测提供不同营养水平的器官中的转录和代谢差异。本研究系统地研究了单个必需氨基酸(EAA)给药对牛乳腺上皮细胞(BMEC)的转录组学和代谢组学分析的影响。通过逐个添加单个 EAA 刺激,RNA 测序和液相色谱-串联质谱法生成了 BMEC 转录组学、非靶向代谢组学和靶向氨基酸分析的综合比较。测序数据和样品的原始 LC-MS/MS 数据已在基因表达综合数据库、代谢物光照度和 Figshare 数据库中呈现,以实现高效再利用,包括探索不同 EAAs 之间代谢的差异,以及筛选调节酪蛋白合成的有价值的基因和代谢物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2526/10933356/a1633b518d2c/41597_2024_3123_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2526/10933356/a761eb96e961/41597_2024_3123_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2526/10933356/a1633b518d2c/41597_2024_3123_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2526/10933356/a761eb96e961/41597_2024_3123_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2526/10933356/a1633b518d2c/41597_2024_3123_Fig2_HTML.jpg

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