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10.3390/metabo11110729 http://scihub22266oqcxt.onion/10.3390/metabo11110729 34822387!8623556!34822387     free     free     free       Metabolites 2021 ; 11 (11): ä Nephropedia Template TP {{tp|p=34822387|t=2021. Single-Cell Multiomics Analysis for Drug Discovery |pdf=|usr=}}{{34822387}} gab.com Text Single-Cell Multiomics Analysis for Drug Discovery JO: Metabolites http://www.kidney.de/pget.php?&tw=1&pmid=34822387 #FOAvip 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. Twit Text FOAVip Single-Cell Multiomics Analysis for Drug Discovery ????Metabolites http://www.kidney.de/pget.php?&tw=1&pmid=34822387 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=34822387 #FOAvip English Wikipedia <ref>{{Cite pmid|34822387}}</ref> Single-Cell Multiomics Analysis for Drug Discovery #MMPMID34822387 Nassar SF; Raddassi K; Wu T Metabolites 2021[Oct]; 11 (11): ä PMID34822387show ga 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. äSingle-Cell Multiomics Analysis for Drug Discovery (epmc).pdf DeepDyve Pubget Overpricing