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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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 |
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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 |