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Design, challenges, and the potential of transcriptomics to understand social behavior

Rapid advances in Ribonucleic Acid sequencing (or RNA-seq) technology for analyzing entire transcriptomes of desired tissue samples, or even of single cells at scale, have revolutionized biology in the past decade. Increasing accessibility and falling costs are making it possible to address many pro...

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Autores principales: Lim, Wen Kin, Mathuru, Ajay S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357267/
https://www.ncbi.nlm.nih.gov/pubmed/32684913
http://dx.doi.org/10.1093/cz/zoaa007
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author Lim, Wen Kin
Mathuru, Ajay S
author_facet Lim, Wen Kin
Mathuru, Ajay S
author_sort Lim, Wen Kin
collection PubMed
description Rapid advances in Ribonucleic Acid sequencing (or RNA-seq) technology for analyzing entire transcriptomes of desired tissue samples, or even of single cells at scale, have revolutionized biology in the past decade. Increasing accessibility and falling costs are making it possible to address many problems in biology that were once considered intractable, including the study of various social behaviors. RNA-seq is opening new avenues to understand long-standing questions on the molecular basis of behavioral plasticity and individual variation in the expression of a behavior. As whole transcriptomes are examined, it has become possible to make unbiased discoveries of underlying mechanisms with little or no necessity to predict genes involved in advance. However, researchers need to be aware of technical limitations and have to make specific decisions when applying RNA-seq to study social behavior. Here, we provide a perspective on the applications of RNA-seq and experimental design considerations for behavioral scientists who are unfamiliar with the technology but are considering using it in their research.
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spelling pubmed-73572672020-07-16 Design, challenges, and the potential of transcriptomics to understand social behavior Lim, Wen Kin Mathuru, Ajay S Curr Zool Special Column: Social behavior and evolution in the omics era Rapid advances in Ribonucleic Acid sequencing (or RNA-seq) technology for analyzing entire transcriptomes of desired tissue samples, or even of single cells at scale, have revolutionized biology in the past decade. Increasing accessibility and falling costs are making it possible to address many problems in biology that were once considered intractable, including the study of various social behaviors. RNA-seq is opening new avenues to understand long-standing questions on the molecular basis of behavioral plasticity and individual variation in the expression of a behavior. As whole transcriptomes are examined, it has become possible to make unbiased discoveries of underlying mechanisms with little or no necessity to predict genes involved in advance. However, researchers need to be aware of technical limitations and have to make specific decisions when applying RNA-seq to study social behavior. Here, we provide a perspective on the applications of RNA-seq and experimental design considerations for behavioral scientists who are unfamiliar with the technology but are considering using it in their research. Oxford University Press 2020-06 2020-02-25 /pmc/articles/PMC7357267/ /pubmed/32684913 http://dx.doi.org/10.1093/cz/zoaa007 Text en © The Author(s) (2020). Published by Oxford University Press on behalf of Editorial Office, Current Zoology. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Special Column: Social behavior and evolution in the omics era
Lim, Wen Kin
Mathuru, Ajay S
Design, challenges, and the potential of transcriptomics to understand social behavior
title Design, challenges, and the potential of transcriptomics to understand social behavior
title_full Design, challenges, and the potential of transcriptomics to understand social behavior
title_fullStr Design, challenges, and the potential of transcriptomics to understand social behavior
title_full_unstemmed Design, challenges, and the potential of transcriptomics to understand social behavior
title_short Design, challenges, and the potential of transcriptomics to understand social behavior
title_sort design, challenges, and the potential of transcriptomics to understand social behavior
topic Special Column: Social behavior and evolution in the omics era
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7357267/
https://www.ncbi.nlm.nih.gov/pubmed/32684913
http://dx.doi.org/10.1093/cz/zoaa007
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