Title
Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data
Authors
Neelam Krishna, Shraddha Vishwakarma & Pramod Katara*
Affiliation
Computational Omics Lab, Centre of Bioinformatics, University of Allahabad, Prayagraj - 211002, India; *Corresponding author
Pramod Katara - E-mail: pmkatara@gmail.com; pkatara@allduniv.ac.in
Article Type
Research Article
Date
Received July 2, 2022; Revised August 31, 2022; Accepted August 31, 2022, Published August 31, 2022
Abstract
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.
Keywords
Casein, Somatic cell, Lactation, Milk Traits, Gene expression
Citation
Krishna et al. Bioinformation 18(8): 703-709 (2022)
Edited by
P Kangueane
ISSN
0973-2063
Publisher
License
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.
