Examination of the xanthosine response on gene expression of mammary epithelial cells using RNA-seq technology View Full Text


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Article Info

DATE

2018-12

AUTHORS

Shanti Choudhary, Wenli Li, Derek Bickhart, Ramneek Verma, R. S. Sethi, C. S. Mukhopadhyay, Ratan K. Choudhary

ABSTRACT

Background: Xanthosine treatment has been previously reported to increase mammary stem cell population and milk production in cattle and goats. However, the underlying molecular mechanisms associated with the increase in stem cell population and milk production remain unclear. Methods: Primiparous Beetal goats were assigned to the study. Five days post-partum, one mammary gland of each goat was infused with xanthosine (TRT) twice daily (2×) for 3 days consecutively, and the other gland served as a control (CON). Milk samples from the TRT and CON glands were collected on the 10th day after the last xanthosine infusion and the total RNA was isolated from milk fat globules (MEGs). Total RNA in MFGs was mainly derived from the milk epithelial cells (MECs) as evidenced by expression of milk synthesis genes. Significant differentially expressed genes (DEGs) were subjected to Gene Ontology (GO) terms using PANTHER and gene networks were generated using STRING db. Results: Preliminary analysis indicated that each individual goat responded to xanthosine treatment differently, with this trend being correlated with specific DEGs within the same animal's mammary gland. Several pathways are impacted by these DEGs, including cell communication, cell proliferation and anti-microbials. Conclusions: This study provides valuable insights into transcriptomic changes in milk producing epithelial cells in response to xanthosine treatment. Further characterization of DEGs identified in this study is likely to delineate the molecular mechanisms of increased milk production and stem or progenitor cell population by the xanthosine treatment. More... »

PAGES

18

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  • Identifiers

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    http://scigraph.springernature.com/pub.10.1186/s40781-018-0177-5

    DOI

    http://dx.doi.org/10.1186/s40781-018-0177-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1105563591

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/30009039


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