Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Nassar, Sam F., Raddassi, Khadir, Wu, Terence
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623556/
https://www.ncbi.nlm.nih.gov/pubmed/34822387
http://dx.doi.org/10.3390/metabo11110729
_version_ 1784605960894939136
author Nassar, Sam F.
Raddassi, Khadir
Wu, Terence
author_facet Nassar, Sam F.
Raddassi, Khadir
Wu, Terence
author_sort Nassar, Sam F.
collection PubMed
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 Online
Article
Text
id pubmed-8623556
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-86235562021-11-27 Single-Cell Multiomics Analysis for Drug Discovery Nassar, Sam F. Raddassi, Khadir Wu, Terence Metabolites Review 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. MDPI 2021-10-25 /pmc/articles/PMC8623556/ /pubmed/34822387 http://dx.doi.org/10.3390/metabo11110729 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Nassar, Sam F.
Raddassi, Khadir
Wu, Terence
Single-Cell Multiomics Analysis for Drug Discovery
title 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_short Single-Cell Multiomics Analysis for Drug Discovery
title_sort single-cell multiomics analysis for drug discovery
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623556/
https://www.ncbi.nlm.nih.gov/pubmed/34822387
http://dx.doi.org/10.3390/metabo11110729
work_keys_str_mv AT nassarsamf singlecellmultiomicsanalysisfordrugdiscovery
AT raddassikhadir singlecellmultiomicsanalysisfordrugdiscovery
AT wuterence singlecellmultiomicsanalysisfordrugdiscovery