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TrED: the Trichophyton rubrum Expression Database
BACKGROUND: Trichophyton rubrum is the most common dermatophyte species and the most frequent cause of fungal skin infections in humans worldwide. It's a major concern because feet and nail infections caused by this organism is extremely difficult to cure. A large set of expression data includi...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1940010/ https://www.ncbi.nlm.nih.gov/pubmed/17650345 http://dx.doi.org/10.1186/1471-2164-8-250 |
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author | Yang, Jian Chen, Lihong Wang, Lingling Zhang, Wenliang Liu, Tao Jin, Qi |
author_facet | Yang, Jian Chen, Lihong Wang, Lingling Zhang, Wenliang Liu, Tao Jin, Qi |
author_sort | Yang, Jian |
collection | PubMed |
description | BACKGROUND: Trichophyton rubrum is the most common dermatophyte species and the most frequent cause of fungal skin infections in humans worldwide. It's a major concern because feet and nail infections caused by this organism is extremely difficult to cure. A large set of expression data including expressed sequence tags (ESTs) and transcriptional profiles of this important fungal pathogen are now available. Careful analysis of these data can give valuable information about potential virulence factors, antigens and novel metabolic pathways. We intend to create an integrated database TrED to facilitate the study of dermatophytes, and enhance the development of effective diagnostic and treatment strategies. DESCRIPTION: All publicly available ESTs and expression profiles of T. rubrum during conidial germination in time-course experiments and challenged with antifungal agents are deposited in the database. In addition, comparative genomics hybridization results of 22 dermatophytic fungi strains from three genera, Trichophyton, Microsporum and Epidermophyton, are also included. ESTs are clustered and assembled to elongate the sequence length and abate redundancy. TrED provides functional analysis based on GenBank, Pfam, and KOG databases, along with KEGG pathway and GO vocabulary. It is integrated with a suite of custom web-based tools that facilitate querying and retrieving various EST properties, visualization and comparison of transcriptional profiles, and sequence-similarity searching by BLAST. CONCLUSION: TrED is built upon a relational database, with a web interface offering analytic functions, to provide integrated access to various expression data of T. rubrum and comparative results of dermatophytes. It is devoted to be a comprehensive resource and platform to assist functional genomic studies in dermatophytes. TrED is available from URL: . |
format | Text |
id | pubmed-1940010 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-19400102007-08-07 TrED: the Trichophyton rubrum Expression Database Yang, Jian Chen, Lihong Wang, Lingling Zhang, Wenliang Liu, Tao Jin, Qi BMC Genomics Database BACKGROUND: Trichophyton rubrum is the most common dermatophyte species and the most frequent cause of fungal skin infections in humans worldwide. It's a major concern because feet and nail infections caused by this organism is extremely difficult to cure. A large set of expression data including expressed sequence tags (ESTs) and transcriptional profiles of this important fungal pathogen are now available. Careful analysis of these data can give valuable information about potential virulence factors, antigens and novel metabolic pathways. We intend to create an integrated database TrED to facilitate the study of dermatophytes, and enhance the development of effective diagnostic and treatment strategies. DESCRIPTION: All publicly available ESTs and expression profiles of T. rubrum during conidial germination in time-course experiments and challenged with antifungal agents are deposited in the database. In addition, comparative genomics hybridization results of 22 dermatophytic fungi strains from three genera, Trichophyton, Microsporum and Epidermophyton, are also included. ESTs are clustered and assembled to elongate the sequence length and abate redundancy. TrED provides functional analysis based on GenBank, Pfam, and KOG databases, along with KEGG pathway and GO vocabulary. It is integrated with a suite of custom web-based tools that facilitate querying and retrieving various EST properties, visualization and comparison of transcriptional profiles, and sequence-similarity searching by BLAST. CONCLUSION: TrED is built upon a relational database, with a web interface offering analytic functions, to provide integrated access to various expression data of T. rubrum and comparative results of dermatophytes. It is devoted to be a comprehensive resource and platform to assist functional genomic studies in dermatophytes. TrED is available from URL: . BioMed Central 2007-07-25 /pmc/articles/PMC1940010/ /pubmed/17650345 http://dx.doi.org/10.1186/1471-2164-8-250 Text en Copyright © 2007 Yang 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 | Database Yang, Jian Chen, Lihong Wang, Lingling Zhang, Wenliang Liu, Tao Jin, Qi TrED: the Trichophyton rubrum Expression Database |
title | TrED: the Trichophyton rubrum Expression Database |
title_full | TrED: the Trichophyton rubrum Expression Database |
title_fullStr | TrED: the Trichophyton rubrum Expression Database |
title_full_unstemmed | TrED: the Trichophyton rubrum Expression Database |
title_short | TrED: the Trichophyton rubrum Expression Database |
title_sort | tred: the trichophyton rubrum expression database |
topic | Database |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1940010/ https://www.ncbi.nlm.nih.gov/pubmed/17650345 http://dx.doi.org/10.1186/1471-2164-8-250 |
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