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Detection of novel 3' untranslated region extensions with 3' expression microarrays

BACKGROUND: The 3' untranslated regions (UTRs) of transcripts are not well characterized for many genes and often extend beyond the annotated regions. Since Affymetrix 3' expression arrays were designed based on expressed sequence tags, many probesets map to intergenic regions downstream o...

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Autores principales: Thorrez, Lieven, Tranchevent, Leon-Charles, Chang, Hui Ju, Moreau, Yves, Schuit, Frans
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2858751/
https://www.ncbi.nlm.nih.gov/pubmed/20346121
http://dx.doi.org/10.1186/1471-2164-11-205
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author Thorrez, Lieven
Tranchevent, Leon-Charles
Chang, Hui Ju
Moreau, Yves
Schuit, Frans
author_facet Thorrez, Lieven
Tranchevent, Leon-Charles
Chang, Hui Ju
Moreau, Yves
Schuit, Frans
author_sort Thorrez, Lieven
collection PubMed
description BACKGROUND: The 3' untranslated regions (UTRs) of transcripts are not well characterized for many genes and often extend beyond the annotated regions. Since Affymetrix 3' expression arrays were designed based on expressed sequence tags, many probesets map to intergenic regions downstream of genes. We used expression information from these probesets to predict transcript extension beyond currently known boundaries. RESULTS: Based on our dataset encompassing expression in 22 different murine tissues, we identified 845 genes with predicted 3'UTR extensions. These extensions have a similar conservation as known 3'UTRs, which is distinctly higher than intergenic regions. We verified 8 of the predictions by PCR and found all of the predicted regions to be expressed. The method can be extended to other 3' expression microarray platforms as we demonstrate with human data. Additional confirming evidence was obtained from public paired end read data. CONCLUSIONS: We show that many genes have 3'UTR regions extending beyond currently known gene regions and provide a method to identify such regions based on microarray expression data. Since 3' UTR contain microRNA binding sites and other stability determining regions, identification of the full length 3' UTR is important to elucidate posttranscriptional regulation.
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spelling pubmed-28587512010-04-23 Detection of novel 3' untranslated region extensions with 3' expression microarrays Thorrez, Lieven Tranchevent, Leon-Charles Chang, Hui Ju Moreau, Yves Schuit, Frans BMC Genomics Methodology Article BACKGROUND: The 3' untranslated regions (UTRs) of transcripts are not well characterized for many genes and often extend beyond the annotated regions. Since Affymetrix 3' expression arrays were designed based on expressed sequence tags, many probesets map to intergenic regions downstream of genes. We used expression information from these probesets to predict transcript extension beyond currently known boundaries. RESULTS: Based on our dataset encompassing expression in 22 different murine tissues, we identified 845 genes with predicted 3'UTR extensions. These extensions have a similar conservation as known 3'UTRs, which is distinctly higher than intergenic regions. We verified 8 of the predictions by PCR and found all of the predicted regions to be expressed. The method can be extended to other 3' expression microarray platforms as we demonstrate with human data. Additional confirming evidence was obtained from public paired end read data. CONCLUSIONS: We show that many genes have 3'UTR regions extending beyond currently known gene regions and provide a method to identify such regions based on microarray expression data. Since 3' UTR contain microRNA binding sites and other stability determining regions, identification of the full length 3' UTR is important to elucidate posttranscriptional regulation. BioMed Central 2010-03-26 /pmc/articles/PMC2858751/ /pubmed/20346121 http://dx.doi.org/10.1186/1471-2164-11-205 Text en Copyright ©2010 Thorrez 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 Methodology Article
Thorrez, Lieven
Tranchevent, Leon-Charles
Chang, Hui Ju
Moreau, Yves
Schuit, Frans
Detection of novel 3' untranslated region extensions with 3' expression microarrays
title Detection of novel 3' untranslated region extensions with 3' expression microarrays
title_full Detection of novel 3' untranslated region extensions with 3' expression microarrays
title_fullStr Detection of novel 3' untranslated region extensions with 3' expression microarrays
title_full_unstemmed Detection of novel 3' untranslated region extensions with 3' expression microarrays
title_short Detection of novel 3' untranslated region extensions with 3' expression microarrays
title_sort detection of novel 3' untranslated region extensions with 3' expression microarrays
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2858751/
https://www.ncbi.nlm.nih.gov/pubmed/20346121
http://dx.doi.org/10.1186/1471-2164-11-205
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