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MOROKOSHI: Transcriptome Database in Sorghum bicolor
In transcriptome analysis, accurate annotation of each transcriptional unit and its expression profile is essential. A full-length cDNA (FL-cDNA) collection facilitates the refinement of transcriptional annotation, and accurate transcription start sites help to unravel transcriptional regulation. We...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301747/ https://www.ncbi.nlm.nih.gov/pubmed/25505007 http://dx.doi.org/10.1093/pcp/pcu187 |
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author | Makita, Yuko Shimada, Setsuko Kawashima, Mika Kondou-Kuriyama, Tomoko Toyoda, Tetsuro Matsui, Minami |
author_facet | Makita, Yuko Shimada, Setsuko Kawashima, Mika Kondou-Kuriyama, Tomoko Toyoda, Tetsuro Matsui, Minami |
author_sort | Makita, Yuko |
collection | PubMed |
description | In transcriptome analysis, accurate annotation of each transcriptional unit and its expression profile is essential. A full-length cDNA (FL-cDNA) collection facilitates the refinement of transcriptional annotation, and accurate transcription start sites help to unravel transcriptional regulation. We constructed a normalized FL-cDNA library from eight growth stages of aerial tissues in Sorghum bicolor and isolated 37,607 clones. These clones were Sanger sequenced from the 5′ and/or 3′ ends and in total 38,981 high-quality expressed sequence tags (ESTs) were obtained. About one-third of the transcripts of known genes were captured as FL-cDNA clone resources. In addition to these, we also annotated 272 novel genes, 323 antisense transcripts and 1,672 candidate isoforms. These clones are available from the RIKEN Bioresource Center. After obtaining accurate annotation of transcriptional units, we performed expression profile analysis. We carried out spikelet-, seed- and stem-specific RNA sequencing (RNA-Seq) analysis and confirmed the expression of 70.6% of the newly identified genes. We also downloaded 23 sorghum RNA-Seq samples that are publicly available and these are shown on a genome browser together with our original FL-cDNA and RNA-Seq data. Using our original and publicly available data, we made an expression profile of each gene and identified the top 20 genes with the most similar expression. In addition, we visualized their relationships in gene co-expression networks. Users can access and compare various transcriptome data from S, bicolor at http://sorghum.riken.jp. |
format | Online Article Text |
id | pubmed-4301747 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43017472015-02-03 MOROKOSHI: Transcriptome Database in Sorghum bicolor Makita, Yuko Shimada, Setsuko Kawashima, Mika Kondou-Kuriyama, Tomoko Toyoda, Tetsuro Matsui, Minami Plant Cell Physiol Special Online Collection – Database Papers In transcriptome analysis, accurate annotation of each transcriptional unit and its expression profile is essential. A full-length cDNA (FL-cDNA) collection facilitates the refinement of transcriptional annotation, and accurate transcription start sites help to unravel transcriptional regulation. We constructed a normalized FL-cDNA library from eight growth stages of aerial tissues in Sorghum bicolor and isolated 37,607 clones. These clones were Sanger sequenced from the 5′ and/or 3′ ends and in total 38,981 high-quality expressed sequence tags (ESTs) were obtained. About one-third of the transcripts of known genes were captured as FL-cDNA clone resources. In addition to these, we also annotated 272 novel genes, 323 antisense transcripts and 1,672 candidate isoforms. These clones are available from the RIKEN Bioresource Center. After obtaining accurate annotation of transcriptional units, we performed expression profile analysis. We carried out spikelet-, seed- and stem-specific RNA sequencing (RNA-Seq) analysis and confirmed the expression of 70.6% of the newly identified genes. We also downloaded 23 sorghum RNA-Seq samples that are publicly available and these are shown on a genome browser together with our original FL-cDNA and RNA-Seq data. Using our original and publicly available data, we made an expression profile of each gene and identified the top 20 genes with the most similar expression. In addition, we visualized their relationships in gene co-expression networks. Users can access and compare various transcriptome data from S, bicolor at http://sorghum.riken.jp. Oxford University Press 2015-01 2014-12-09 /pmc/articles/PMC4301747/ /pubmed/25505007 http://dx.doi.org/10.1093/pcp/pcu187 Text en © The Author 2014. 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 Makita, Yuko Shimada, Setsuko Kawashima, Mika Kondou-Kuriyama, Tomoko Toyoda, Tetsuro Matsui, Minami MOROKOSHI: Transcriptome Database in Sorghum bicolor |
title | MOROKOSHI: Transcriptome Database in Sorghum bicolor |
title_full | MOROKOSHI: Transcriptome Database in Sorghum bicolor |
title_fullStr | MOROKOSHI: Transcriptome Database in Sorghum bicolor |
title_full_unstemmed | MOROKOSHI: Transcriptome Database in Sorghum bicolor |
title_short | MOROKOSHI: Transcriptome Database in Sorghum bicolor |
title_sort | morokoshi: transcriptome database in sorghum bicolor |
topic | Special Online Collection – Database Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301747/ https://www.ncbi.nlm.nih.gov/pubmed/25505007 http://dx.doi.org/10.1093/pcp/pcu187 |
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