p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data
| Autor: | Anna De Grassi, Sabino Liuni, Beatriz Navarro, Flavio Licciulli, Graziano Pesole, Antonio Turi, Cecilia Saccone, Apollonia Tullo, Giorgio Grillo, Andreas Gisel, Mariano Francesco Caratozzolo, Elisabetta Sbisà, Anna Maria D'Erchia, Domenico Catalano |
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| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
In silico
Biology lcsh:Computer applications to medicine. Medical informatics ENCODE Biochemistry target Structural Biology Databases Genetic Protein Interaction Mapping Humans Gene family lcsh:QH301-705.5 Molecular Biology Gene database Oligonucleotide Array Sequence Analysis Genetics Binding Sites Microarray analysis techniques Research Tumor Suppressor Proteins Applied Mathematics Alternative splicing Nuclear Proteins Promoter Computer Science Applications DNA-Binding Proteins lcsh:Biology (General) Multigene Family Gene Targeting Trans-Activators lcsh:R858-859.7 Tumor Suppressor Protein p53 DNA microarray p53 family microarray Algorithms Software Protein Binding Transcription Factors |
| Zdroj: | BMC bioinformatics 8 (2007). doi:10.1186/1471-2105-8-S1-S20 info:cnr-pdr/source/autori:Elisabetta Sbisà 1*; Domenico Catalano 1; Giorgio Grillo 1; Flavio Licciulli 1; Antonio Turi 1; Sabino Liuni 1; Graziano Pesole 1,2; Anna De Grassi 1,2; Mariano F Caratozzolo1,2; Anna M D'Erchia 1,2; Beatriz Navarro 1; Apollonia Tullo 1; Cecilia Saccone 1,2; Andreas Gisel 1;/titolo:p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data./doi:10.1186%2F1471-2105-8-S1-S20/rivista:BMC bioinformatics/anno:2007/pagina_da:/pagina_a:/intervallo_pagine:/volume:8 BMC Bioinformatics, Vol 8, Iss Suppl 1, p S20 (2007) BMC Bioinformatics BMC bioinformatics 8 (2007): S20. doi:10.1186/1471-2105-8-S1-S20 info:cnr-pdr/source/autori:Sbisà E; Catalano D; Grillo G; Licciulli F; Turi A; Liuni S; Pesole G; De Grassi A; Caratozzolo MF; D'Erchia AM; Navarro B; Tullo A; Saccone C; Gisel A./titolo:p53FamTaG: a database resource of human p53, p63 and p73 direct target genes combining in silico prediction and microarray data./doi:10.1186%2F1471-2105-8-S1-S20/rivista:BMC bioinformatics/anno:2007/pagina_da:S20/pagina_a:/intervallo_pagine:S20/volume:8 |
| DOI: | 10.1186/1471-2105-8-S1-S20 |
| Popis: | Background The p53 gene family consists of the three genes p53, p63 and p73, which have polyhedral non-overlapping functions in pivotal cellular processes such as DNA synthesis and repair, growth arrest, apoptosis, genome stability, angiogenesis, development and differentiation. These genes encode sequence-specific nuclear transcription factors that recognise the same responsive element (RE) in their target genes. Their inactivation or aberrant expression may determine tumour progression or developmental disease. The discovery of several protein isoforms with antagonistic roles, which are produced by the expression of different promoters and alternative splicing, widened the complexity of the scenario of the transcriptional network of the p53 family members. Therefore, the identification of the genes transactivated by p53 family members is crucial to understand the specific role for each gene in cell cycle regulation. We have combined a genome-wide computational search of p53 family REs and microarray analysis to identify new direct target genes. The huge amount of biological data produced has generated a critical need for bioinformatic tools able to manage and integrate such data and facilitate their retrieval and analysis. Description We have developed the p53FamTaG database (p53 FAMily TArget Genes), a modular relational database, which contains p53 family direct target genes selected in the human genome searching for the presence of the REs and the expression profile of these target genes obtained by microarray experiments. p53FamTaG database also contains annotations of publicly available databases and links to other experimental data. The genome-wide computational search of the REs was performed using PatSearch, a pattern-matching program implemented in the DNAfan tool. These data were integrated with the microarray results we produced from the overexpression of different isoforms of p53, p63 and p73 stably transfected in isogenic cell lines, allowing the comparative study of the transcriptional activity of all the proteins in the same cellular background. p53FamTaG database is available free at http://www2.ba.itb.cnr.it/p53FamTaG/ Conclusion p53FamTaG represents a unique integrated resource of human direct p53 family target genes that is extensively annotated and provides the users with an efficient query/retrieval system which displays the results of our microarray experiments and allows the export of RE sequences. The database was developed for supporting and integrating high-throughput in silico and experimental analyses and represents an important reference source of knowledge for research groups involved in the field of oncogenesis, apoptosis and cell cycle regulation. |
| Databáze: | OpenAIRE |
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