Your browser doesn't support javascript.
loading
Mostrar: 20 | 50 | 100
Resultados 1 - 2 de 2
Filtrar
Mais filtros










Base de dados
Intervalo de ano de publicação
1.
Nucleic Acids Res ; 33(Database issue): D562-6, 2005 Jan 01.
Artigo em Inglês | MEDLINE | ID: mdl-15608262

RESUMO

The Gene Expression Omnibus (GEO) at the National Center for Biotechnology Information (NCBI) is the largest fully public repository for high-throughput molecular abundance data, primarily gene expression data. The database has a flexible and open design that allows the submission, storage and retrieval of many data types. These data include microarray-based experiments measuring the abundance of mRNA, genomic DNA and protein molecules, as well as non-array-based technologies such as serial analysis of gene expression (SAGE) and mass spectrometry proteomic technology. GEO currently holds over 30,000 submissions representing approximately half a billion individual molecular abundance measurements, for over 100 organisms. Here, we describe recent database developments that facilitate effective mining and visualization of these data. Features are provided to examine data from both experiment- and gene-centric perspectives using user-friendly Web-based interfaces accessible to those without computational or microarray-related analytical expertise. The GEO database is publicly accessible through the World Wide Web at http://www.ncbi.nlm.nih.gov/geo.


Assuntos
Bases de Dados Genéticas , Perfilação da Expressão Gênica , Animais , Gráficos por Computador , Sistemas de Gerenciamento de Base de Dados , Bases de Dados Genéticas/normas , Humanos , National Library of Medicine (U.S.) , Estados Unidos , Interface Usuário-Computador
2.
Nat Biotechnol ; 22(8): 1013-6, 2004 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-15235610

RESUMO

The expression patterns of eukaryotic genomes are controlled by their chromatin structure, consisting of nucleosome subunits in which DNA of approximately 146 bp is wrapped around a core of 8 histone molecules. Post-translational histone modifications play an essential role in modifying chromatin structure. Here we apply a combination of SAGE and chromatin immunoprecipitation (ChIP) protocols to determine the distribution of hyperacetylated histones H3 and H4 in the Saccharomyces cerevisiae genome. We call this approach genome-wide mapping technique (GMAT). Using GMAT, we find that the highest acetylation levels are detected in the 5' end of a gene's coding region, but not in the promoter. Furthermore, we show that the histone acetyltransferase, GCN5p, regulates H3 acetylation in the promoter and 5' end of the coding regions. These findings indicate that GMAT should find valuable applications in mapping target sites of chromatin-modifying enzymes.


Assuntos
Imunoprecipitação da Cromatina/métodos , Mapeamento Cromossômico/métodos , Perfilação da Expressão Gênica/métodos , Histonas/química , Histonas/genética , Saccharomyces cerevisiae/genética , Saccharomyces cerevisiae/metabolismo , Cromatina/genética , Cromatina/metabolismo , Etiquetas de Sequências Expressas , Genoma Fúngico , Código das Histonas/genética , Regiões Promotoras Genéticas , Análise de Sequência de DNA/métodos
SELEÇÃO DE REFERÊNCIAS
DETALHE DA PESQUISA
...