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Applications of single-cell RNA sequencing in drug discovery and development

Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods, together with associated computational tools and the growing availability of public data resources, are transforming drug discovery and development. New opportunities are emerging in target identification owing to...

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Autores principales: Van de Sande, Bram, Lee, Joon Sang, Mutasa-Gottgens, Euphemia, Naughton, Bart, Bacon, Wendi, Manning, Jonathan, Wang, Yong, Pollard, Jack, Mendez, Melissa, Hill, Jon, Kumar, Namit, Cao, Xiaohong, Chen, Xiao, Khaladkar, Mugdha, Wen, Ji, Leach, Andrew, Ferran, Edgardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141847/
https://www.ncbi.nlm.nih.gov/pubmed/37117846
http://dx.doi.org/10.1038/s41573-023-00688-4
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author Van de Sande, Bram
Lee, Joon Sang
Mutasa-Gottgens, Euphemia
Naughton, Bart
Bacon, Wendi
Manning, Jonathan
Wang, Yong
Pollard, Jack
Mendez, Melissa
Hill, Jon
Kumar, Namit
Cao, Xiaohong
Chen, Xiao
Khaladkar, Mugdha
Wen, Ji
Leach, Andrew
Ferran, Edgardo
author_facet Van de Sande, Bram
Lee, Joon Sang
Mutasa-Gottgens, Euphemia
Naughton, Bart
Bacon, Wendi
Manning, Jonathan
Wang, Yong
Pollard, Jack
Mendez, Melissa
Hill, Jon
Kumar, Namit
Cao, Xiaohong
Chen, Xiao
Khaladkar, Mugdha
Wen, Ji
Leach, Andrew
Ferran, Edgardo
author_sort Van de Sande, Bram
collection PubMed
description Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods, together with associated computational tools and the growing availability of public data resources, are transforming drug discovery and development. New opportunities are emerging in target identification owing to improved disease understanding through cell subtyping, and highly multiplexed functional genomics screens incorporating scRNA-seq are enhancing target credentialling and prioritization. ScRNA-seq is also aiding the selection of relevant preclinical disease models and providing new insights into drug mechanisms of action. In clinical development, scRNA-seq can inform decision-making via improved biomarker identification for patient stratification and more precise monitoring of drug response and disease progression. Here, we illustrate how scRNA-seq methods are being applied in key steps in drug discovery and development, and discuss ongoing challenges for their implementation in the pharmaceutical industry.
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spelling pubmed-101418472023-05-01 Applications of single-cell RNA sequencing in drug discovery and development Van de Sande, Bram Lee, Joon Sang Mutasa-Gottgens, Euphemia Naughton, Bart Bacon, Wendi Manning, Jonathan Wang, Yong Pollard, Jack Mendez, Melissa Hill, Jon Kumar, Namit Cao, Xiaohong Chen, Xiao Khaladkar, Mugdha Wen, Ji Leach, Andrew Ferran, Edgardo Nat Rev Drug Discov Review Article Single-cell technologies, particularly single-cell RNA sequencing (scRNA-seq) methods, together with associated computational tools and the growing availability of public data resources, are transforming drug discovery and development. New opportunities are emerging in target identification owing to improved disease understanding through cell subtyping, and highly multiplexed functional genomics screens incorporating scRNA-seq are enhancing target credentialling and prioritization. ScRNA-seq is also aiding the selection of relevant preclinical disease models and providing new insights into drug mechanisms of action. In clinical development, scRNA-seq can inform decision-making via improved biomarker identification for patient stratification and more precise monitoring of drug response and disease progression. Here, we illustrate how scRNA-seq methods are being applied in key steps in drug discovery and development, and discuss ongoing challenges for their implementation in the pharmaceutical industry. Nature Publishing Group UK 2023-04-28 2023 /pmc/articles/PMC10141847/ /pubmed/37117846 http://dx.doi.org/10.1038/s41573-023-00688-4 Text en © Springer Nature Limited 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Review Article
Van de Sande, Bram
Lee, Joon Sang
Mutasa-Gottgens, Euphemia
Naughton, Bart
Bacon, Wendi
Manning, Jonathan
Wang, Yong
Pollard, Jack
Mendez, Melissa
Hill, Jon
Kumar, Namit
Cao, Xiaohong
Chen, Xiao
Khaladkar, Mugdha
Wen, Ji
Leach, Andrew
Ferran, Edgardo
Applications of single-cell RNA sequencing in drug discovery and development
title Applications of single-cell RNA sequencing in drug discovery and development
title_full Applications of single-cell RNA sequencing in drug discovery and development
title_fullStr Applications of single-cell RNA sequencing in drug discovery and development
title_full_unstemmed Applications of single-cell RNA sequencing in drug discovery and development
title_short Applications of single-cell RNA sequencing in drug discovery and development
title_sort applications of single-cell rna sequencing in drug discovery and development
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10141847/
https://www.ncbi.nlm.nih.gov/pubmed/37117846
http://dx.doi.org/10.1038/s41573-023-00688-4
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