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断奶时肉用小母牛外周血白细胞的转录组数据集。

Transcriptomic dataset from peripheral white blood cells of beef heifers at weaning.

作者信息

Banerjee Priyanka, Diniz Wellison J S, Rodning Soren P, Dyce Paul W

机构信息

Department of Animal Sciences, Auburn University, Auburn, AL 36849, USA.

出版信息

Data Brief. 2023 Mar 11;48:109046. doi: 10.1016/j.dib.2023.109046. eCollection 2023 Jun.

Abstract

Reproductive failure of replacement breeding animals is one of the leading causes of loss to the beef production industry. The losses are further increased due to the inability to diagnose the reproductive potential of the beef heifer prior to the breeding season until the pregnancy outcome. To overcome this problem, a system to discriminate beef heifers with varying reproductive potential as early and accurately as possible is demanded. The omics technologies, such as transcriptomics, could predict the future reproductive potential of beef heifers. Therefore, this manuscript provides the gene expression profile dataset using RNA-Seq identified from peripheral white blood cells (PWBC) of beef heifers at weaning. To accomplish this, the blood samples were collected at the time of weaning, processed to extract the PWBC pellet and stored at - 80 °C until further processing. After the breeding protocol (artificial insemination (AI) followed by natural bull service) and pregnancy diagnosis, the heifers that were pregnant to AI ( = 8) or remained open (n = 7) were utilized for this study. Total RNA was extracted from PWBC collected at the time of weaning from these samples and subjected to sequencing using the Illumina Nova-Seq platform. High-quality sequencing data was analyzed using a bioinformatic workflow based on FastQC and MultiQC for quality control, STAR for read alignment, and DESeq2 for differential expression analysis. Genes were considered significantly differentially expressed after adjustment with Bonferroni correction ( ≤ 0.05) and absolute (log2 fold change) ≥ 0.5. Raw and processed RNA-Seq data were deposited and made publicly available on the gene expression omnibus database (GEO; GSE221903). To our knowledge, this is the first dataset investigating the change in the gene expression level as early as weaning to predict the future reproductive outcome in beef heifers. Interpretation of the main findings based on this data is reported in a research article titled "mRNA Signatures in Peripheral White Blood Cells Predicts Reproductive Potential in Beef Heifers at Weaning" [1].

摘要

后备繁殖母牛的繁殖失败是肉牛生产行业损失的主要原因之一。由于在繁殖季节之前无法诊断肉牛小母牛的繁殖潜力,直到怀孕结果出来,损失进一步增加。为了克服这个问题,需要一种能够尽早且准确地区分具有不同繁殖潜力的肉牛小母牛的系统。转录组学等组学技术可以预测肉牛小母牛未来的繁殖潜力。因此,本手稿提供了使用RNA-Seq从断奶时肉牛小母牛的外周血白细胞(PWBC)中鉴定出的基因表达谱数据集。为了实现这一目标,在断奶时采集血样,处理后提取PWBC沉淀并储存在-80°C直至进一步处理。在繁殖方案(人工授精(AI)后自然公牛配种)和怀孕诊断之后,对怀孕至AI的小母牛(n = 8)或未怀孕的小母牛(n = 7)进行本研究。从这些样本断奶时采集的PWBC中提取总RNA,并使用Illumina Nova-Seq平台进行测序。使用基于FastQC和MultiQC的生物信息学工作流程分析高质量测序数据以进行质量控制,使用STAR进行读段比对,使用DESeq2进行差异表达分析。在使用Bonferroni校正进行调整后(P≤0.05)且绝对(log2倍数变化)≥0.5,基因被认为具有显著差异表达。原始和处理后的RNA-Seq数据已存入基因表达综合数据库(GEO;GSE221903)并公开提供。据我们所知,这是第一个研究断奶时基因表达水平变化以预测肉牛小母牛未来繁殖结果的数据集。基于此数据的主要发现的解读在一篇题为《外周血白细胞中的mRNA特征预测断奶时肉牛小母牛的繁殖潜力》的研究文章中报道[1]。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6dda/10034631/4b35147290a4/gr1.jpg

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