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RiceXPro: a platform for monitoring gene expression in japonica rice grown under natural field conditions

Elucidating the function of all predicted genes in rice remains as the ultimate goal in cereal genomics in order to ensure the development of improved varieties that will sustain an expanding world population. We constructed a gene expression database (RiceXPro, URL: http://ricexpro.dna.affrc.go.jp/...

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Autores principales: Sato, Yutaka, Antonio, Baltazar A., Namiki, Nobukazu, Takehisa, Hinako, Minami, Hiroshi, Kamatsuki, Kaori, Sugimoto, Kazuhiko, Shimizu, Yuji, Hirochika, Hirohiko, Nagamura, Yoshiaki
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013682/
https://www.ncbi.nlm.nih.gov/pubmed/21045061
http://dx.doi.org/10.1093/nar/gkq1085
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author Sato, Yutaka
Antonio, Baltazar A.
Namiki, Nobukazu
Takehisa, Hinako
Minami, Hiroshi
Kamatsuki, Kaori
Sugimoto, Kazuhiko
Shimizu, Yuji
Hirochika, Hirohiko
Nagamura, Yoshiaki
author_facet Sato, Yutaka
Antonio, Baltazar A.
Namiki, Nobukazu
Takehisa, Hinako
Minami, Hiroshi
Kamatsuki, Kaori
Sugimoto, Kazuhiko
Shimizu, Yuji
Hirochika, Hirohiko
Nagamura, Yoshiaki
author_sort Sato, Yutaka
collection PubMed
description Elucidating the function of all predicted genes in rice remains as the ultimate goal in cereal genomics in order to ensure the development of improved varieties that will sustain an expanding world population. We constructed a gene expression database (RiceXPro, URL: http://ricexpro.dna.affrc.go.jp/) to provide an overview of the transcriptional changes throughout the growth of the rice plant in the field. RiceXPro contains two data sets corresponding to spatiotemporal gene expression profiles of various organs and tissues, and continuous gene expression profiles of leaf from transplanting to harvesting. A user-friendly web interface enables the extraction of specific gene expression profiles by keyword and chromosome search, and basic data analysis, thereby providing useful information as to the organ/tissue and developmental stage specificity of expression of a particular gene. Analysis tools such as t-test, calculation of fold change and degree of correlation facilitate the comparison of expression profiles between two random samples and the prediction of function of uncharacterized genes. As a repository of expression data encompassing growth in the field, this database can provide baseline information of genes that underlie various agronomically important traits in rice.
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spelling pubmed-30136822011-01-03 RiceXPro: a platform for monitoring gene expression in japonica rice grown under natural field conditions Sato, Yutaka Antonio, Baltazar A. Namiki, Nobukazu Takehisa, Hinako Minami, Hiroshi Kamatsuki, Kaori Sugimoto, Kazuhiko Shimizu, Yuji Hirochika, Hirohiko Nagamura, Yoshiaki Nucleic Acids Res Articles Elucidating the function of all predicted genes in rice remains as the ultimate goal in cereal genomics in order to ensure the development of improved varieties that will sustain an expanding world population. We constructed a gene expression database (RiceXPro, URL: http://ricexpro.dna.affrc.go.jp/) to provide an overview of the transcriptional changes throughout the growth of the rice plant in the field. RiceXPro contains two data sets corresponding to spatiotemporal gene expression profiles of various organs and tissues, and continuous gene expression profiles of leaf from transplanting to harvesting. A user-friendly web interface enables the extraction of specific gene expression profiles by keyword and chromosome search, and basic data analysis, thereby providing useful information as to the organ/tissue and developmental stage specificity of expression of a particular gene. Analysis tools such as t-test, calculation of fold change and degree of correlation facilitate the comparison of expression profiles between two random samples and the prediction of function of uncharacterized genes. As a repository of expression data encompassing growth in the field, this database can provide baseline information of genes that underlie various agronomically important traits in rice. Oxford University Press 2011-01 2010-11-02 /pmc/articles/PMC3013682/ /pubmed/21045061 http://dx.doi.org/10.1093/nar/gkq1085 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.5 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Sato, Yutaka
Antonio, Baltazar A.
Namiki, Nobukazu
Takehisa, Hinako
Minami, Hiroshi
Kamatsuki, Kaori
Sugimoto, Kazuhiko
Shimizu, Yuji
Hirochika, Hirohiko
Nagamura, Yoshiaki
RiceXPro: a platform for monitoring gene expression in japonica rice grown under natural field conditions
title RiceXPro: a platform for monitoring gene expression in japonica rice grown under natural field conditions
title_full RiceXPro: a platform for monitoring gene expression in japonica rice grown under natural field conditions
title_fullStr RiceXPro: a platform for monitoring gene expression in japonica rice grown under natural field conditions
title_full_unstemmed RiceXPro: a platform for monitoring gene expression in japonica rice grown under natural field conditions
title_short RiceXPro: a platform for monitoring gene expression in japonica rice grown under natural field conditions
title_sort ricexpro: a platform for monitoring gene expression in japonica rice grown under natural field conditions
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3013682/
https://www.ncbi.nlm.nih.gov/pubmed/21045061
http://dx.doi.org/10.1093/nar/gkq1085
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