Cargando…

K-SPMM: a database of murine spermatogenic promoters modules & motifs

BACKGROUND: Understanding the regulatory processes that coordinate the cascade of gene expression leading to male gamete development has proven challenging. Research has been hindered in part by an incomplete picture of the regulatory elements that are both characteristic of and distinctive to the b...

Descripción completa

Detalles Bibliográficos
Autores principales: Lu, Yi, Platts, Adrian E, Ostermeier, G Charles, Krawetz, Stephen A
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1463010/
https://www.ncbi.nlm.nih.gov/pubmed/16670029
http://dx.doi.org/10.1186/1471-2105-7-238
_version_ 1782127526345179136
author Lu, Yi
Platts, Adrian E
Ostermeier, G Charles
Krawetz, Stephen A
author_facet Lu, Yi
Platts, Adrian E
Ostermeier, G Charles
Krawetz, Stephen A
author_sort Lu, Yi
collection PubMed
description BACKGROUND: Understanding the regulatory processes that coordinate the cascade of gene expression leading to male gamete development has proven challenging. Research has been hindered in part by an incomplete picture of the regulatory elements that are both characteristic of and distinctive to the broad population of spermatogenically expressed genes. DESCRIPTION: K-SPMM, a database of murine Spermatogenic Promoters Modules and Motifs, has been developed as a web-based resource for the comparative analysis of promoter regions and their constituent elements in developing male germ cells. The system contains data on 7,551 genes and 11,715 putative promoter regions in Sertoli cells, spermatogonia, spermatocytes and spermatids. K-SPMM provides a detailed portrait of promoter site components, ranging from broad distributions of transcription factor binding sites to graphical illustrations of dimeric modules with respect to individual transcription start sites. Binding sites are identified through their similarities to position weight matrices catalogued in either the JASPAR or the TRANSFAC transcription factor archives. A flexible search function allows sub-populations of promoters to be identified on the basis of their presence in any of the four cell-types, their association with a list of genes or their component transcription-factor families. CONCLUSION: This system can now be used independently or in conjunction with other databases of gene expression as a powerful aid to research networks of co-regulation. We illustrate this with respect to the spermiogenically active protamine locus in which binding sites are predicted that align well with biologically foot-printed protein binding domains. AVAILABILITY:
format Text
id pubmed-1463010
institution National Center for Biotechnology Information
language English
publishDate 2006
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-14630102006-05-18 K-SPMM: a database of murine spermatogenic promoters modules & motifs Lu, Yi Platts, Adrian E Ostermeier, G Charles Krawetz, Stephen A BMC Bioinformatics Database BACKGROUND: Understanding the regulatory processes that coordinate the cascade of gene expression leading to male gamete development has proven challenging. Research has been hindered in part by an incomplete picture of the regulatory elements that are both characteristic of and distinctive to the broad population of spermatogenically expressed genes. DESCRIPTION: K-SPMM, a database of murine Spermatogenic Promoters Modules and Motifs, has been developed as a web-based resource for the comparative analysis of promoter regions and their constituent elements in developing male germ cells. The system contains data on 7,551 genes and 11,715 putative promoter regions in Sertoli cells, spermatogonia, spermatocytes and spermatids. K-SPMM provides a detailed portrait of promoter site components, ranging from broad distributions of transcription factor binding sites to graphical illustrations of dimeric modules with respect to individual transcription start sites. Binding sites are identified through their similarities to position weight matrices catalogued in either the JASPAR or the TRANSFAC transcription factor archives. A flexible search function allows sub-populations of promoters to be identified on the basis of their presence in any of the four cell-types, their association with a list of genes or their component transcription-factor families. CONCLUSION: This system can now be used independently or in conjunction with other databases of gene expression as a powerful aid to research networks of co-regulation. We illustrate this with respect to the spermiogenically active protamine locus in which binding sites are predicted that align well with biologically foot-printed protein binding domains. AVAILABILITY: BioMed Central 2006-05-03 /pmc/articles/PMC1463010/ /pubmed/16670029 http://dx.doi.org/10.1186/1471-2105-7-238 Text en Copyright © 2006 Lu et al; licensee BioMed Central Ltd.
spellingShingle Database
Lu, Yi
Platts, Adrian E
Ostermeier, G Charles
Krawetz, Stephen A
K-SPMM: a database of murine spermatogenic promoters modules & motifs
title K-SPMM: a database of murine spermatogenic promoters modules & motifs
title_full K-SPMM: a database of murine spermatogenic promoters modules & motifs
title_fullStr K-SPMM: a database of murine spermatogenic promoters modules & motifs
title_full_unstemmed K-SPMM: a database of murine spermatogenic promoters modules & motifs
title_short K-SPMM: a database of murine spermatogenic promoters modules & motifs
title_sort k-spmm: a database of murine spermatogenic promoters modules & motifs
topic Database
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1463010/
https://www.ncbi.nlm.nih.gov/pubmed/16670029
http://dx.doi.org/10.1186/1471-2105-7-238
work_keys_str_mv AT luyi kspmmadatabaseofmurinespermatogenicpromotersmodulesmotifs
AT plattsadriane kspmmadatabaseofmurinespermatogenicpromotersmodulesmotifs
AT ostermeiergcharles kspmmadatabaseofmurinespermatogenicpromotersmodulesmotifs
AT krawetzstephena kspmmadatabaseofmurinespermatogenicpromotersmodulesmotifs