4.6 Review

Single-Cell Multiomics Analysis for Drug Discovery

Journal

METABOLITES
Volume 11, Issue 11, Pages -

Publisher

MDPI
DOI: 10.3390/metabo11110729

Keywords

multiomics; genomics; metabolomics; proteomics; transcriptomics; single-cell; mass spectrometry; IsoLight; COVID-19

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Single-cell analysis is essential for studying the biological and physiological variations within and between cell populations. Omics technologies such as proteomics, transcriptomics, and metabolomics enable us to explore the specific characteristics of proteins, RNA molecules, and metabolites within individual cells, providing valuable insights into human health and disease mechanisms. Applying multiomics approaches in drug discovery can offer a comprehensive understanding of disease processes and facilitate the development of targeted therapies.
Given the heterogeneity seen in cell populations within biological systems, analysis of single cells is necessary for studying mechanisms that cannot be identified on a bulk population level. There are significant variations in the biological and physiological function of cell populations due to the functional differences within, as well as between, single species as a result of the specific proteome, transcriptome, and metabolome that are unique to each individual cell. Single-cell analysis proves crucial in providing a comprehensive understanding of the biological and physiological properties underlying human health and disease. Omics technologies can help to examine proteins (proteomics), RNA molecules (transcriptomics), and the chemical processes involving metabolites (metabolomics) in cells, in addition to genomes. In this review, we discuss the value of multiomics in drug discovery and the importance of single-cell multiomics measurements. We will provide examples of the benefits of applying single-cell omics technologies in drug discovery and development. Moreover, we intend to show how multiomics offers the opportunity to understand the detailed events which produce or prevent disease, and ways in which the separate omics disciplines complement each other to build a broader, deeper knowledge base.

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