Ag Data Commons
Browse

File(s) stored somewhere else

Please note: Linked content is NOT stored on Ag Data Commons and we can't guarantee its availability, quality, security or accept any liability.

RNA-seq analysis of mammary transcriptome in lactating dairy cows as affected by oral sodium salicylate

dataset
posted on 2024-06-11, 06:36 authored by Michigan State University
Previous studies have demonstrated non-steroidal anti-inflammatory drug (NSAID) treatment in early lactation had a positive impact on whole-lactation milk production in older cows. The objective of this study was to evaluate transcriptional changes in the mammary gland that could explain increased production responses due to NSAID treatment. Sodium salicylate (SAL; 125 g/d) or water (CON) were administered via oral drench to multiparous cows (n = 8/treatment) once daily for 3 d beginning approximately 24 h after parturition, and mammary tissue was collected on d 1, 4, and 45 postpartum. Day 1 tissue was collected immediately preceding the initial drench, and d 4 tissue was collected 24 h following the final drench. Cows were milked twice daily until d 7 of lactation, and thrice daily for the remainder of the study. Total RNA extracted from tissue was deep-sequenced and analyzed for differential gene expression using DESeq2. We detected no treatment effect on milk yield or plasma metabolites through 45 d of lactation. Comparison of SAL vs. CON revealed that only 16 of 18,286 genes were differentially expressed (false discovery rate < 0.1) in mammary tissue collected on d 45, while no differentially expressed genes due to treatment were detected on d 1 or d 4. Analysis of transcriptional differences over time showed downregulation of pathways related to immune cell recruitment and differentiation, and extensive overlap with pathways related to cholesterol synthesis and liver X receptor signaling.

Funding

U.S. Department of Agriculture, 2014-67015-21621

History

Data contact name

BioProject Curation Staff

Publisher

National Center for Biotechnology Information

Temporal Extent Start Date

2020-12-11

Theme

  • Non-geospatial

ISO Topic Category

  • biota

National Agricultural Library Thesaurus terms

sequence analysis

Pending citation

  • No

Public Access Level

  • Public

Accession Number

PRJNA684666

Preferred dataset citation

It is recommended to cite the accession numbers that are assigned to data submissions, e.g. the GenBank, WGS or SRA accession numbers. If individual BioProjects need to be referenced, state that "The data have been deposited with links to BioProject accession number PRJNA684666 in the NCBI BioProject database (https://www.ncbi.nlm.nih.gov/bioproject/)."

Usage metrics

    Categories

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC