Shelly Jones Nolin

Works (2)

Updated: April 5th, 2024 17:34

2024 journal article

Differences in the microbiome of the small intestine of Leghorn lines divergently selected for antibody titer to sheep erythrocytes suggest roles for commensals in host humoral response

FRONTIERS IN PHYSIOLOGY, 14.

By: S. Nolin n, P. Siegel * & C. Ashwell *

author keywords: microbiome; antibody response; VA tech HAS and LAS; machine learning; immunogenetics
TL;DR: Characterizing the small intestinal microbiome of HAS and LAS chickens, determining their functional microbiome profiles, and using machine learning to identify microbes which best differentiate HAS from LAS and associating the abundance of those microbes with host gene expression provide a compelling argument that the microbiome is both affected by host divergent genetic selection and that it exerts influence on host antibody response by various mechanisms. (via Semantic Scholar)
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Source: Web Of Science
Added: February 12, 2024

2023 journal article

Combining supervised machine learning with statistics reveals differential gene expression patterns related to energy metabolism in the jejuna of chickens divergently selected for antibody response to sheep red blood cells

POULTRY SCIENCE, 102(7).

By: S. Nolin n, R. Taylor Jr, F. Edens n, P. Siegel * & C. Ashwell* 

author keywords: gene expression; machine learning; antibody response; genetic selection; Virginia Tech HAS and LAS
MeSH headings : Animals; Adenosine Triphosphate; Antibody Formation; Chickens / genetics; Energy Metabolism; Erythrocytes; Gene Expression; Jejunum; Sheep / genetics; Supervised Machine Learning
TL;DR: Insight is provided into energetic resource needs and allocations in the jejunum in response to genetic selection and antigen exposure in HAS and LAS which may help explain phenotypic differences observed in antibody response. (via Semantic Scholar)
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Sources: Web Of Science, NC State University Libraries, ORCID
Added: July 3, 2023

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