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Catalyzing plant science research with RNA-seq
Next generation DNA sequencing technologies are driving increasingly rapid, affordable and high resolution analyses of plant transcriptomes through sequencing of their associated cDNA (complementary DNA) populations; an analytical platform commonly referred to as RNA-sequencing (RNA-seq). Since ente...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612697/ https://www.ncbi.nlm.nih.gov/pubmed/23554602 http://dx.doi.org/10.3389/fpls.2013.00066 |
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author | Martin, Laetitia B. B. Fei, Zhangjun Giovannoni, James J. Rose, Jocelyn K. C. |
author_facet | Martin, Laetitia B. B. Fei, Zhangjun Giovannoni, James J. Rose, Jocelyn K. C. |
author_sort | Martin, Laetitia B. B. |
collection | PubMed |
description | Next generation DNA sequencing technologies are driving increasingly rapid, affordable and high resolution analyses of plant transcriptomes through sequencing of their associated cDNA (complementary DNA) populations; an analytical platform commonly referred to as RNA-sequencing (RNA-seq). Since entering the arena of whole genome profiling technologies only a few years ago, RNA-seq has proven itself to be a powerful tool with a remarkably diverse range of applications, from detailed studies of biological processes at the cell type-specific level, to providing insights into fundamental questions in plant biology on an evolutionary time scale. Applications include generating genomic data for heretofore unsequenced species, thus expanding the boundaries of what had been considered “model organisms,” elucidating structural and regulatory gene networks, revealing how plants respond to developmental cues and their environment, allowing a better understanding of the relationships between genes and their products, and uniting the “omics” fields of transcriptomics, proteomics, and metabolomics into a now common systems biology paradigm. We provide an overview of the breadth of such studies and summarize the range of RNA-seq protocols that have been developed to address questions spanning cell type-specific-based transcriptomics, transcript secondary structure and gene mapping. |
format | Online Article Text |
id | pubmed-3612697 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-36126972013-04-01 Catalyzing plant science research with RNA-seq Martin, Laetitia B. B. Fei, Zhangjun Giovannoni, James J. Rose, Jocelyn K. C. Front Plant Sci Plant Science Next generation DNA sequencing technologies are driving increasingly rapid, affordable and high resolution analyses of plant transcriptomes through sequencing of their associated cDNA (complementary DNA) populations; an analytical platform commonly referred to as RNA-sequencing (RNA-seq). Since entering the arena of whole genome profiling technologies only a few years ago, RNA-seq has proven itself to be a powerful tool with a remarkably diverse range of applications, from detailed studies of biological processes at the cell type-specific level, to providing insights into fundamental questions in plant biology on an evolutionary time scale. Applications include generating genomic data for heretofore unsequenced species, thus expanding the boundaries of what had been considered “model organisms,” elucidating structural and regulatory gene networks, revealing how plants respond to developmental cues and their environment, allowing a better understanding of the relationships between genes and their products, and uniting the “omics” fields of transcriptomics, proteomics, and metabolomics into a now common systems biology paradigm. We provide an overview of the breadth of such studies and summarize the range of RNA-seq protocols that have been developed to address questions spanning cell type-specific-based transcriptomics, transcript secondary structure and gene mapping. Frontiers Media S.A. 2013-04-01 /pmc/articles/PMC3612697/ /pubmed/23554602 http://dx.doi.org/10.3389/fpls.2013.00066 Text en Copyright © Martin, Fei, Giovannoni and Rose. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. |
spellingShingle | Plant Science Martin, Laetitia B. B. Fei, Zhangjun Giovannoni, James J. Rose, Jocelyn K. C. Catalyzing plant science research with RNA-seq |
title | Catalyzing plant science research with RNA-seq |
title_full | Catalyzing plant science research with RNA-seq |
title_fullStr | Catalyzing plant science research with RNA-seq |
title_full_unstemmed | Catalyzing plant science research with RNA-seq |
title_short | Catalyzing plant science research with RNA-seq |
title_sort | catalyzing plant science research with rna-seq |
topic | Plant Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612697/ https://www.ncbi.nlm.nih.gov/pubmed/23554602 http://dx.doi.org/10.3389/fpls.2013.00066 |
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