Recent news on Single-Cell Identification and Quantification

Mohammad Asif*

Center for Bio-Technology, Institute of Science & Technology, JNTU University, India

Corresponding Author:
Mohammad Asif
Center for Bio-Technology, Institute of Science & Technology, JNTU University, India
E-mail: asifm326@gmail.com

Received Date: January 10, 2021; Accepted Date: January 25, 2021; Published Date: January 29, 2021

Citation: Asif M(2021) Recent news on Single-Cell Identification and Quantification. Genet Mol Biol Res Vol No: 5 Iss No: 1:36

Copyright: © 2021 Asif M. This is an open-access article distributed under the terms of the Creative Commons Attributions License, which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

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Single-cell technologies are revolutionizing biology but are today mainly limited to imaging and deep sequencing. However, proteins are the main drivers of cellular function and in-depth characterization of individual cells by mass spectrometry (MS)-based proteomics would thus be highly valuable and complementary.

The top20 highest differentially expressed genes were selected, but only the aforementioned ones were also identified in our data. This scoring method yields the average expression on the provided set of genes minus the average expression on a reference set of genes, for each cell. The reference set is chosen to mirror the average expression of the target gene set.

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