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Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site
BACKGROUND: Alternative polyadenylation sites within a gene can lead to alternative transcript variants. Although bioinformatic analysis has been conducted to detect polyadenylation sites using nucleic acid sequences (EST/mRNA) in the public databases, one special type, single-block EST is much less...
Autores principales: | , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2009
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2784480/ https://www.ncbi.nlm.nih.gov/pubmed/19906316 http://dx.doi.org/10.1186/1471-2164-10-518 |
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author | Wang, Pingzhang Yu, Peng Gao, Peng Shi, Taiping Ma, Dalong |
author_facet | Wang, Pingzhang Yu, Peng Gao, Peng Shi, Taiping Ma, Dalong |
author_sort | Wang, Pingzhang |
collection | PubMed |
description | BACKGROUND: Alternative polyadenylation sites within a gene can lead to alternative transcript variants. Although bioinformatic analysis has been conducted to detect polyadenylation sites using nucleic acid sequences (EST/mRNA) in the public databases, one special type, single-block EST is much less emphasized. This bias leaves a large space to discover novel transcript variants. RESULTS: In the present study, we identified novel transcript variants in the human genome by detecting intronic polyadenylation sites. Poly(A/T)-tailed ESTs were obtained from single-block ESTs and clustered into 10,844 groups standing for 5,670 genes. Most sites were not found in other alternative splicing databases. To verify that these sites are from expressed transcripts, we analyzed the supporting EST number of each site, blasted representative ESTs against known mRNA sequences, traced terminal sequences from cDNA clones, and compared with the data of Affymetrix tiling array. These analyses confirmed about 84% (9,118/10,844) of the novel alternative transcripts, especially, 33% (3,575/10,844) of the transcripts from 2,704 genes were taken as high-reliability. Additionally, RT-PCR confirmed 38% (10/26) of predicted novel transcript variants. CONCLUSION: Our results provide evidence for novel transcript variants with intronic poly(A) sites. The expression of these novel variants was confirmed with computational and experimental tools. Our data provide a genome-wide resource for identification of novel human transcript variants with intronic polyadenylation sites, and offer a new view into the mystery of the human transcriptome. |
format | Text |
id | pubmed-2784480 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-27844802009-11-27 Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site Wang, Pingzhang Yu, Peng Gao, Peng Shi, Taiping Ma, Dalong BMC Genomics Research article BACKGROUND: Alternative polyadenylation sites within a gene can lead to alternative transcript variants. Although bioinformatic analysis has been conducted to detect polyadenylation sites using nucleic acid sequences (EST/mRNA) in the public databases, one special type, single-block EST is much less emphasized. This bias leaves a large space to discover novel transcript variants. RESULTS: In the present study, we identified novel transcript variants in the human genome by detecting intronic polyadenylation sites. Poly(A/T)-tailed ESTs were obtained from single-block ESTs and clustered into 10,844 groups standing for 5,670 genes. Most sites were not found in other alternative splicing databases. To verify that these sites are from expressed transcripts, we analyzed the supporting EST number of each site, blasted representative ESTs against known mRNA sequences, traced terminal sequences from cDNA clones, and compared with the data of Affymetrix tiling array. These analyses confirmed about 84% (9,118/10,844) of the novel alternative transcripts, especially, 33% (3,575/10,844) of the transcripts from 2,704 genes were taken as high-reliability. Additionally, RT-PCR confirmed 38% (10/26) of predicted novel transcript variants. CONCLUSION: Our results provide evidence for novel transcript variants with intronic poly(A) sites. The expression of these novel variants was confirmed with computational and experimental tools. Our data provide a genome-wide resource for identification of novel human transcript variants with intronic polyadenylation sites, and offer a new view into the mystery of the human transcriptome. BioMed Central 2009-11-12 /pmc/articles/PMC2784480/ /pubmed/19906316 http://dx.doi.org/10.1186/1471-2164-10-518 Text en Copyright ©2009 Wang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research article Wang, Pingzhang Yu, Peng Gao, Peng Shi, Taiping Ma, Dalong Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site |
title | Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site |
title_full | Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site |
title_fullStr | Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site |
title_full_unstemmed | Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site |
title_short | Discovery of novel human transcript variants by analysis of intronic single-block EST with polyadenylation site |
title_sort | discovery of novel human transcript variants by analysis of intronic single-block est with polyadenylation site |
topic | Research article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2784480/ https://www.ncbi.nlm.nih.gov/pubmed/19906316 http://dx.doi.org/10.1186/1471-2164-10-518 |
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