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YeasTSS: an integrative web database of yeast transcription start sites

The transcription initiation landscape of eukaryotic genes is complex and highly dynamic. In eukaryotes, genes can generate multiple transcript variants that differ in 5′ boundaries due to usages of alternative transcription start sites (TSSs), and the abundance of transcript isoforms are highly var...

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Autores principales: McMillan, Jonathan, Lu, Zhaolian, Rodriguez, Judith S, Ahn, Tae-Hyuk, Lin, Zhenguo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484093/
https://www.ncbi.nlm.nih.gov/pubmed/31032841
http://dx.doi.org/10.1093/database/baz048
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author McMillan, Jonathan
Lu, Zhaolian
Rodriguez, Judith S
Ahn, Tae-Hyuk
Lin, Zhenguo
author_facet McMillan, Jonathan
Lu, Zhaolian
Rodriguez, Judith S
Ahn, Tae-Hyuk
Lin, Zhenguo
author_sort McMillan, Jonathan
collection PubMed
description The transcription initiation landscape of eukaryotic genes is complex and highly dynamic. In eukaryotes, genes can generate multiple transcript variants that differ in 5′ boundaries due to usages of alternative transcription start sites (TSSs), and the abundance of transcript isoforms are highly variable. Due to a large number and complexity of the TSSs, it is not feasible to depict details of transcript initiation landscape of all genes using text-format genome annotation files. Therefore, it is necessary to provide data visualization of TSSs to represent quantitative TSS maps and the core promoters (CPs). In addition, the selection and activity of TSSs are influenced by various factors, such as transcription factors, chromatin remodeling and histone modifications. Thus, integration and visualization of functional genomic data related to these features could provide a better understanding of the gene promoter architecture and regulatory mechanism of transcription initiation. Yeast species play important roles for the research and human society, yet no database provides visualization and integration of functional genomic data in yeast. Here, we generated quantitative TSS maps for 12 important yeast species, inferred their CPs and built a public database, YeasTSS (www.yeastss.org). YeasTSS was designed as a central portal for visualization and integration of the TSS maps, CPs and functional genomic data related to transcription initiation in yeast. YeasTSS is expected to benefit the research community and public education for improving genome annotation, studies of promoter structure, regulated control of transcription initiation and inferring gene regulatory network.
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spelling pubmed-64840932019-04-30 YeasTSS: an integrative web database of yeast transcription start sites McMillan, Jonathan Lu, Zhaolian Rodriguez, Judith S Ahn, Tae-Hyuk Lin, Zhenguo Database (Oxford) Database Tool The transcription initiation landscape of eukaryotic genes is complex and highly dynamic. In eukaryotes, genes can generate multiple transcript variants that differ in 5′ boundaries due to usages of alternative transcription start sites (TSSs), and the abundance of transcript isoforms are highly variable. Due to a large number and complexity of the TSSs, it is not feasible to depict details of transcript initiation landscape of all genes using text-format genome annotation files. Therefore, it is necessary to provide data visualization of TSSs to represent quantitative TSS maps and the core promoters (CPs). In addition, the selection and activity of TSSs are influenced by various factors, such as transcription factors, chromatin remodeling and histone modifications. Thus, integration and visualization of functional genomic data related to these features could provide a better understanding of the gene promoter architecture and regulatory mechanism of transcription initiation. Yeast species play important roles for the research and human society, yet no database provides visualization and integration of functional genomic data in yeast. Here, we generated quantitative TSS maps for 12 important yeast species, inferred their CPs and built a public database, YeasTSS (www.yeastss.org). YeasTSS was designed as a central portal for visualization and integration of the TSS maps, CPs and functional genomic data related to transcription initiation in yeast. YeasTSS is expected to benefit the research community and public education for improving genome annotation, studies of promoter structure, regulated control of transcription initiation and inferring gene regulatory network. Oxford University Press 2019-04-26 /pmc/articles/PMC6484093/ /pubmed/31032841 http://dx.doi.org/10.1093/database/baz048 Text en © The Author(s) 2019. Published by Oxford University Press. 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 Database Tool
McMillan, Jonathan
Lu, Zhaolian
Rodriguez, Judith S
Ahn, Tae-Hyuk
Lin, Zhenguo
YeasTSS: an integrative web database of yeast transcription start sites
title YeasTSS: an integrative web database of yeast transcription start sites
title_full YeasTSS: an integrative web database of yeast transcription start sites
title_fullStr YeasTSS: an integrative web database of yeast transcription start sites
title_full_unstemmed YeasTSS: an integrative web database of yeast transcription start sites
title_short YeasTSS: an integrative web database of yeast transcription start sites
title_sort yeastss: an integrative web database of yeast transcription start sites
topic Database Tool
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6484093/
https://www.ncbi.nlm.nih.gov/pubmed/31032841
http://dx.doi.org/10.1093/database/baz048
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