Single Cell RNA-Sequencing and Its Application in Livestock Animals

- Authors: Renu Verma1, Parameswar Sahu2, Aarti Rana3, Sandeep Swargam4, Indu Kumari5
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View Affiliations Hide Affiliations1 Central Molecular Laboratory, GovindBallabh Pant Institute of Postgraduate Medical Education & Research, Raj Ghat, New Delhi, 110002, India 2 Central Molecular Laboratory, Govind Ballabh Pant Institute of Postgraduate Medical Education & Research, Raj Ghat, New Delhi, 110002, India 3 Biotechnology Division, Government Degree College, Dharamshala, Himachal Pradesh, India 4 Centre for Computational Biology and Bioinformatics, School of Life Sciences, Central Univerity of Himachal Pradesh, Shahpur and Dharamshala, Himachal Pradesh, India 5 Indian Biological Data Centre, Regional Centre for Biotechnolgy, Faridabad, Haryana, India
- Source: Systems Biology, Bioinformatics and Livestock Science , pp 226-242
- Publication Date: November 2023
- Language: English
Single cell RNA sequencing (ScRNAseq) is in its infancy. There are limited studies in which this technique has been implemented to solve the scientific problem. ScRNAseq involves well facilitated labs and high end computing facilities. The ScRNAseq studies were mainly carried out in the clinical and biomedical areas. These studies are carried out in cancer research, which involves the role of immune genes or immunotherapy for cancer treatment. The human cell atlas programme is going on and atlases for different human cells are being released as it is completed. However, in the case of livestock animals, it has just started. In India, there are few ScRNAseq studies that have focused on the different developmental stages of buffalo. The experimental and bioinformatics analysis ScRNAseq involves various steps. Among this, the alignment of reads to reference genome/transcriptome is important. There is a need to develop a standardized reference genome/transcriptome for each type of cell present in different domestic/commercial livestock. Once we have all the valuable information from ScRNAseq, then this data can be integrated with system biology approaches to understand the cellular processes at a larger scale. This integration of interdisciplinary sciences will enhance the production, quality and health of the livestock animals and may help for sustainable management of livestock. nbsp;
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