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Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data

It is of interest to identify and annotate milk associated genes using expression profiling and RNA-Seq data from milk somatic cells. RNA-Seq data was pre-processed and mapping was done to identify differentially expressed genes (DEG). The functional insights about the up and down regulated genes we...

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Autores principales: Krishna, Neelam, Vishwakarma, Shraddha, Katara, Pramod
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Biomedical Informatics 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266364/
https://www.ncbi.nlm.nih.gov/pubmed/37323558
http://dx.doi.org/10.6026/97320630018703
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author Krishna, Neelam
Vishwakarma, Shraddha
Katara, Pramod
author_facet Krishna, Neelam
Vishwakarma, Shraddha
Katara, Pramod
author_sort Krishna, Neelam
collection PubMed
description It is of interest to identify and annotate milk associated genes using expression profiling and RNA-Seq data from milk somatic cells. RNA-Seq data was pre-processed and mapping was done to identify differentially expressed genes (DEG). The functional insights about the up and down regulated genes were gleaned using the protein-protein interaction Network in the STRING database followed by CytoHubba analysis in Cytoscope. Gene ontology, annotation and pathway enrichment was completed using ShinyGO, David tool and QTL analysis. These analysis shows that 21 genes are linked with the secretion of milk.
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spelling pubmed-102663642023-06-15 Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data Krishna, Neelam Vishwakarma, Shraddha Katara, Pramod Bioinformation Research Article It is of interest to identify and annotate milk associated genes using expression profiling and RNA-Seq data from milk somatic cells. RNA-Seq data was pre-processed and mapping was done to identify differentially expressed genes (DEG). The functional insights about the up and down regulated genes were gleaned using the protein-protein interaction Network in the STRING database followed by CytoHubba analysis in Cytoscope. Gene ontology, annotation and pathway enrichment was completed using ShinyGO, David tool and QTL analysis. These analysis shows that 21 genes are linked with the secretion of milk. Biomedical Informatics 2022-08-31 /pmc/articles/PMC10266364/ /pubmed/37323558 http://dx.doi.org/10.6026/97320630018703 Text en © 2022 Biomedical Informatics https://creativecommons.org/licenses/by/3.0/This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.
spellingShingle Research Article
Krishna, Neelam
Vishwakarma, Shraddha
Katara, Pramod
Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data
title Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data
title_full Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data
title_fullStr Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data
title_full_unstemmed Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data
title_short Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data
title_sort identification and annotation of milk associated genes from milk somatic cells using expression and rna-seq data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10266364/
https://www.ncbi.nlm.nih.gov/pubmed/37323558
http://dx.doi.org/10.6026/97320630018703
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