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SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements

BACKGROUND: Transposed elements (TEs) are known to affect transcriptomes, because either new exons are generated from intronic transposed elements (this is called exonization), or the element inserts into the exon, leading to a new transcript. Several examples in the literature show that isoforms ge...

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Autores principales: Mersch, Britta, Sela, Noa, Ast, Gil, Suhai, Sándor, Hotz-Wagenblatt, Agnes
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2194731/
https://www.ncbi.nlm.nih.gov/pubmed/17986331
http://dx.doi.org/10.1186/1471-2156-8-78
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author Mersch, Britta
Sela, Noa
Ast, Gil
Suhai, Sándor
Hotz-Wagenblatt, Agnes
author_facet Mersch, Britta
Sela, Noa
Ast, Gil
Suhai, Sándor
Hotz-Wagenblatt, Agnes
author_sort Mersch, Britta
collection PubMed
description BACKGROUND: Transposed elements (TEs) are known to affect transcriptomes, because either new exons are generated from intronic transposed elements (this is called exonization), or the element inserts into the exon, leading to a new transcript. Several examples in the literature show that isoforms generated by an exonization are specific to a certain tissue (for example the heart muscle) or inflict a disease. Thus, exonizations can have negative effects for the transcriptome of an organism. RESULTS: As we aimed at detecting other tissue- or tumor-specific isoforms in human and mouse genomes which were generated through exonization of a transposed element, we designed the automated analysis pipeline SERpredict (SER = Specific Exonized Retroelement) making use of Bayesian Statistics. With this pipeline, we found several genes in which a transposed element formed a tissue- or tumor-specific isoform. CONCLUSION: Our results show that SERpredict produces relevant results, demonstrating the importance of transposed elements in shaping both the human and the mouse transcriptomes. The effect of transposed elements on the human transcriptome is several times higher than the effect on the mouse transcriptome, due to the contribution of the primate-specific Alu elements.
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spelling pubmed-21947312008-01-29 SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements Mersch, Britta Sela, Noa Ast, Gil Suhai, Sándor Hotz-Wagenblatt, Agnes BMC Genet Software BACKGROUND: Transposed elements (TEs) are known to affect transcriptomes, because either new exons are generated from intronic transposed elements (this is called exonization), or the element inserts into the exon, leading to a new transcript. Several examples in the literature show that isoforms generated by an exonization are specific to a certain tissue (for example the heart muscle) or inflict a disease. Thus, exonizations can have negative effects for the transcriptome of an organism. RESULTS: As we aimed at detecting other tissue- or tumor-specific isoforms in human and mouse genomes which were generated through exonization of a transposed element, we designed the automated analysis pipeline SERpredict (SER = Specific Exonized Retroelement) making use of Bayesian Statistics. With this pipeline, we found several genes in which a transposed element formed a tissue- or tumor-specific isoform. CONCLUSION: Our results show that SERpredict produces relevant results, demonstrating the importance of transposed elements in shaping both the human and the mouse transcriptomes. The effect of transposed elements on the human transcriptome is several times higher than the effect on the mouse transcriptome, due to the contribution of the primate-specific Alu elements. BioMed Central 2007-11-06 /pmc/articles/PMC2194731/ /pubmed/17986331 http://dx.doi.org/10.1186/1471-2156-8-78 Text en Copyright © 2007 Mersch 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 Software
Mersch, Britta
Sela, Noa
Ast, Gil
Suhai, Sándor
Hotz-Wagenblatt, Agnes
SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements
title SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements
title_full SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements
title_fullStr SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements
title_full_unstemmed SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements
title_short SERpredict: Detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements
title_sort serpredict: detection of tissue- or tumor-specific isoforms generated through exonization of transposable elements
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2194731/
https://www.ncbi.nlm.nih.gov/pubmed/17986331
http://dx.doi.org/10.1186/1471-2156-8-78
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