Single Cell Transcriptomics for Autoimmune Disorders
- Corresponding Author:
- B Gupta
School of Biotechnology
KIIT University, Bhubaneswar
E-mail: [email protected]
Received date: October 01, 2015; Accepted date: November 12, 2015; Published date: November 19, 2015
Citation:Gupta B, Raghav SK (2015) Single Cell Transcriptomics for Autoimmune Disorders. J Mol Genet Med 9: 191. doi:10.4172/1747-0862.1000191
Copyright:© 2015 Gupta B, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
The interplay of genetic, immunological and environmental factors is the driving force towards autoimmunity and each of these branches of biological science is necessary to identify the cause and progress of autoimmune disorders. Differential transcript abundance as an effect of environmental or epigenetic modifications may directly regulate emergence while a sustained copy number increase may drive disease progression. A precise evaluation of these transcript level differences could be the key to understand the mechanism of development and progression of autoimmune diseases however it is imperative to quantitate the subtle changes at the highest resolution. This review summarizes the studies that have explored the importance of analyzing differential transcriptome at single cell resolution, further to emphasize the importance of this approach for enhanced understanding and to identify more sensitive and specific biomarkers for autoimmune diseases.