Single-Cell Multiomics Analysis for Drug Discovery

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...

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Autores principales:	Sam F. Nassar, Khadir Raddassi, Terence Wu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	multiomics genomics metabolomics proteomics transcriptomics single-cell Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/49983e110db8453e949658b83450a736
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id	oai:doaj.org-article:49983e110db8453e949658b83450a736
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spelling	oai:doaj.org-article:49983e110db8453e949658b83450a7362021-11-25T18:20:30ZSingle-Cell Multiomics Analysis for Drug Discovery10.3390/metabo111107292218-1989https://doaj.org/article/49983e110db8453e949658b83450a7362021-10-01T00:00:00Zhttps://www.mdpi.com/2218-1989/11/11/729https://doaj.org/toc/2218-1989Given 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.Sam F. NassarKhadir RaddassiTerence WuMDPI AGarticlemultiomicsgenomicsmetabolomicsproteomicstranscriptomicssingle-cellMicrobiologyQR1-502ENMetabolites, Vol 11, Iss 729, p 729 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multiomics genomics metabolomics proteomics transcriptomics single-cell Microbiology QR1-502
spellingShingle	multiomics genomics metabolomics proteomics transcriptomics single-cell Microbiology QR1-502 Sam F. Nassar Khadir Raddassi Terence Wu Single-Cell Multiomics Analysis for Drug Discovery
description	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.
format	article
author	Sam F. Nassar Khadir Raddassi Terence Wu
author_facet	Sam F. Nassar Khadir Raddassi Terence Wu
author_sort	Sam F. Nassar
title	Single-Cell Multiomics Analysis for Drug Discovery
title_short	Single-Cell Multiomics Analysis for Drug Discovery
title_full	Single-Cell Multiomics Analysis for Drug Discovery
title_fullStr	Single-Cell Multiomics Analysis for Drug Discovery
title_full_unstemmed	Single-Cell Multiomics Analysis for Drug Discovery
title_sort	single-cell multiomics analysis for drug discovery
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/49983e110db8453e949658b83450a736
work_keys_str_mv	AT samfnassar singlecellmultiomicsanalysisfordrugdiscovery AT khadirraddassi singlecellmultiomicsanalysisfordrugdiscovery AT terencewu singlecellmultiomicsanalysisfordrugdiscovery
_version_	1718411317348401152

Single-Cell Multiomics Analysis for Drug Discovery

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