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Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae
BACKGROUND: Although the protein-coding sequences in the Saccharomyces cerevisiae genome have been studied and annotated extensively, much less is known about the extent and characteristics of the untranslated regions of yeast mRNAs. RESULTS: We developed a 'Virtual Northern' method, using...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2004
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC395734/ https://www.ncbi.nlm.nih.gov/pubmed/14709174 |
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author | Hurowitz, Evan H Brown, Patrick O |
author_facet | Hurowitz, Evan H Brown, Patrick O |
author_sort | Hurowitz, Evan H |
collection | PubMed |
description | BACKGROUND: Although the protein-coding sequences in the Saccharomyces cerevisiae genome have been studied and annotated extensively, much less is known about the extent and characteristics of the untranslated regions of yeast mRNAs. RESULTS: We developed a 'Virtual Northern' method, using DNA microarrays for genome-wide systematic analysis of mRNA lengths. We used this method to measure mRNAs corresponding to 84% of the annotated open reading frames (ORFs) in the S. cerevisiae genome, with high precision and accuracy (measurement errors ± 6-7%). We found a close linear relationship between mRNA lengths and the lengths of known or predicted translated sequences; mRNAs were typically around 300 nucleotides longer than the translated sequences. Analysis of genes deviating from that relationship identified ORFs with annotation errors, ORFs that appear not to be bona fide genes, and potentially novel genes. Interestingly, we found that systematic differences in the total length of the untranslated sequences in mRNAs were related to the functions of the encoded proteins. CONCLUSIONS: The Virtual Northern method provides a practical and efficient method for genome-scale analysis of transcript lengths. Approximately 12-15% of the yeast genome is represented in untranslated sequences of mRNAs. A systematic relationship between the lengths of the untranslated regions in yeast mRNAs and the functions of the proteins they encode may point to an important regulatory role for these sequences. |
format | Text |
id | pubmed-395734 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2004 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-3957342004-04-24 Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae Hurowitz, Evan H Brown, Patrick O Genome Biol Research BACKGROUND: Although the protein-coding sequences in the Saccharomyces cerevisiae genome have been studied and annotated extensively, much less is known about the extent and characteristics of the untranslated regions of yeast mRNAs. RESULTS: We developed a 'Virtual Northern' method, using DNA microarrays for genome-wide systematic analysis of mRNA lengths. We used this method to measure mRNAs corresponding to 84% of the annotated open reading frames (ORFs) in the S. cerevisiae genome, with high precision and accuracy (measurement errors ± 6-7%). We found a close linear relationship between mRNA lengths and the lengths of known or predicted translated sequences; mRNAs were typically around 300 nucleotides longer than the translated sequences. Analysis of genes deviating from that relationship identified ORFs with annotation errors, ORFs that appear not to be bona fide genes, and potentially novel genes. Interestingly, we found that systematic differences in the total length of the untranslated sequences in mRNAs were related to the functions of the encoded proteins. CONCLUSIONS: The Virtual Northern method provides a practical and efficient method for genome-scale analysis of transcript lengths. Approximately 12-15% of the yeast genome is represented in untranslated sequences of mRNAs. A systematic relationship between the lengths of the untranslated regions in yeast mRNAs and the functions of the proteins they encode may point to an important regulatory role for these sequences. BioMed Central 2004 2003-12-22 /pmc/articles/PMC395734/ /pubmed/14709174 Text en Copyright © 2003 Hurowitz and Brown; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL. |
spellingShingle | Research Hurowitz, Evan H Brown, Patrick O Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae |
title | Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae |
title_full | Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae |
title_fullStr | Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae |
title_full_unstemmed | Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae |
title_short | Genome-wide analysis of mRNA lengths in Saccharomyces cerevisiae |
title_sort | genome-wide analysis of mrna lengths in saccharomyces cerevisiae |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC395734/ https://www.ncbi.nlm.nih.gov/pubmed/14709174 |
work_keys_str_mv | AT hurowitzevanh genomewideanalysisofmrnalengthsinsaccharomycescerevisiae AT brownpatricko genomewideanalysisofmrnalengthsinsaccharomycescerevisiae |