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ALCOdb: Gene Coexpression Database for Microalgae
In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722175/ https://www.ncbi.nlm.nih.gov/pubmed/26644461 http://dx.doi.org/10.1093/pcp/pcv190 |
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author | Aoki, Yuichi Okamura, Yasunobu Ohta, Hiroyuki Kinoshita, Kengo Obayashi, Takeshi |
author_facet | Aoki, Yuichi Okamura, Yasunobu Ohta, Hiroyuki Kinoshita, Kengo Obayashi, Takeshi |
author_sort | Aoki, Yuichi |
collection | PubMed |
description | In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://alcodb.jp), which provides gene coexpression information to survey gene modules for a function of interest. ALCOdb currently supports two model algae: the green alga Chlamydomonas reinhardtii and the red alga Cyanidioschyzon merolae. Users can retrieve coexpression information for genes of interest through three unique data pages: (i) Coexpressed Gene List; (ii) Gene Information; and (iii) Coexpressed Gene Network. In addition to the basal coexpression information, ALCOdb also provides several advanced functionalities such as an expression profile viewer and a differentially expressed gene search tool. Using these user interfaces, we demonstrated that our gene coexpression data have the potential to detect functionally related genes and are useful in extrapolating the biological roles of uncharacterized genes. ALCOdb will facilitate molecular and biochemical studies of microalgal biological phenomena, such as lipid metabolism and organelle development, and promote the evolutionary understanding of plant cellular systems. |
format | Online Article Text |
id | pubmed-4722175 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-47221752016-01-22 ALCOdb: Gene Coexpression Database for Microalgae Aoki, Yuichi Okamura, Yasunobu Ohta, Hiroyuki Kinoshita, Kengo Obayashi, Takeshi Plant Cell Physiol Special Online Collection – Database Papers In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://alcodb.jp), which provides gene coexpression information to survey gene modules for a function of interest. ALCOdb currently supports two model algae: the green alga Chlamydomonas reinhardtii and the red alga Cyanidioschyzon merolae. Users can retrieve coexpression information for genes of interest through three unique data pages: (i) Coexpressed Gene List; (ii) Gene Information; and (iii) Coexpressed Gene Network. In addition to the basal coexpression information, ALCOdb also provides several advanced functionalities such as an expression profile viewer and a differentially expressed gene search tool. Using these user interfaces, we demonstrated that our gene coexpression data have the potential to detect functionally related genes and are useful in extrapolating the biological roles of uncharacterized genes. ALCOdb will facilitate molecular and biochemical studies of microalgal biological phenomena, such as lipid metabolism and organelle development, and promote the evolutionary understanding of plant cellular systems. Oxford University Press 2016-01 2015-12-07 /pmc/articles/PMC4722175/ /pubmed/26644461 http://dx.doi.org/10.1093/pcp/pcv190 Text en © The Author 2015. Published by Oxford University Press on behalf of Japanese Society of Plant Physiologists. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Special Online Collection – Database Papers Aoki, Yuichi Okamura, Yasunobu Ohta, Hiroyuki Kinoshita, Kengo Obayashi, Takeshi ALCOdb: Gene Coexpression Database for Microalgae |
title | ALCOdb: Gene Coexpression Database for Microalgae |
title_full | ALCOdb: Gene Coexpression Database for Microalgae |
title_fullStr | ALCOdb: Gene Coexpression Database for Microalgae |
title_full_unstemmed | ALCOdb: Gene Coexpression Database for Microalgae |
title_short | ALCOdb: Gene Coexpression Database for Microalgae |
title_sort | alcodb: gene coexpression database for microalgae |
topic | Special Online Collection – Database Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4722175/ https://www.ncbi.nlm.nih.gov/pubmed/26644461 http://dx.doi.org/10.1093/pcp/pcv190 |
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