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Single-Cell Multiomics Analysis for Drug Discovery

Sam F. Nassar, Khadir Raddassi, Terence Wu

2021Metabolites29 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

Computational biologyMetabolomeOmicsMetabolomicsProteomicsDrug discoveryProteomeTranscriptomeBiomarker discoveryBiologyPopulationSystems biologySingle-cell analysisBioinformaticsCellGeneticsMedicineGeneGene expressionEnvironmental healthSingle-cell and spatial transcriptomicsMetabolomics and Mass Spectrometry StudiesBioinformatics and Genomic Networks
Single-Cell Multiomics Analysis for Drug Discovery | Litcius