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Dataset for miRNA expression analysis in the peripheral white blood cells of beef heifers at weaning

Subfertility in beef heifers leads to a substantial economic loss for producers and beef industry. To overcome this problem, producers require an efficient system to discriminate beef heifers with varying reproductive potential as early as possible. MicroRNAs are short non-coding RNAs that post-tran...

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Detalles Bibliográficos
Autores principales: Banerjee, Priyanka, Diniz, Wellison J.S., Dyce, Paul W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10481169/
https://www.ncbi.nlm.nih.gov/pubmed/37680347
http://dx.doi.org/10.1016/j.dib.2023.109515
Descripción
Sumario:Subfertility in beef heifers leads to a substantial economic loss for producers and beef industry. To overcome this problem, producers require an efficient system to discriminate beef heifers with varying reproductive potential as early as possible. MicroRNAs are short non-coding RNAs that post-transcriptionally regulate gene expression. Herein, we profiled the miRNAs in peripheral white blood cells (PWBC) of beef heifers at weaning to investigate the differences in the beef heifers with varying reproductive outcomes. Blood samples from Angus-Simmental crossbred heifers were collected at weaning. The blood was processed to extract the PWBC pellet and was stored at -80 °C until further processing. After the synchronization of estrus and breeding protocol (artificial insemination (AI) followed by natural bull service) and pregnancy diagnosis, the heifers were categorized as fertile (pregnant to AI) or subfertile (not pregnant to AI or bull exposure). Total RNA was extracted from PWBC collected at the time of weaning from the fertile and subfertile heifers. After quality assessment, the total RNA was used to prepare libraries. The quality-checked libraries (n = 14; 7 samples per fertile and subfertile group) were pooled and sequenced (single-end 50 bp) using a NextSeq 500 platform. The raw sequence reads were analyzed using a bioinformatics workflow utilizing FastQC and MultiQC for quality control, Cutadapt for adapter trimming, miRDeep2 for alignment, and DESeq2 for differential expression analysis. The raw and normalized miRNA counts were deposited and made publicly available on the gene expression omnibus database (GEO; GSE225854). This is the first dataset investigating the miRNA expression level in PWBC at weaning in beef heifers to predict the future reproductive outcome. The results from the data presented here are reported in the research article titled “miRNA expression profiles of peripheral white blood cells from beef heifers with varying reproductive potential” [1].