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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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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. |
format | Online Article Text |
id | pubmed-7357267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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