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Physiol Genomics ; 28(1): 114-28, 2006 Dec 13.
Artigo em Inglês | MEDLINE | ID: mdl-16940433

RESUMO

Deciphering the molecular basis for human erythropoiesis should yield information benefiting studies of the hemoglobinopathies and other erythroid disorders. We used an in vitro erythroid differentiation system to study the developing red blood cell transcriptome derived from adult CD34+ hematopoietic progenitor cells. mRNA expression profiling was used to characterize developing erythroid cells at six time points during differentiation (days 1, 3, 5, 7, 9, and 11). Eleven thousand seven hundred sixty-three genes (20,963 Affymetrix probe sets) were expressed on day 1, and 1,504 genes, represented by 1,953 probe sets, were differentially expressed (DE) with 537 upregulated and 969 downregulated. A subset of the DE genes was validated using real-time RT-PCR. The DE probe sets were subjected to a cluster metric and could be divided into two, three, four, five, or six clusters of genes with different expression patterns in each cluster. Genes in these clusters were examined for shared transcription factor binding sites (TFBS) in their promoters by comparing enrichment of each TFBS relative to a reference set using transcriptional regulatory network analysis. The sets of TFBS enriched in genes up- and downregulated during erythropoiesis were distinct. This analysis identified transcriptional regulators critical to erythroid development, factors recently found to play a role, as well as a new list of potential candidates, including Evi-1, a potential silencer of genes upregulated during erythropoiesis. Thus this transcriptional regulatory network analysis has yielded a focused set of factors and their target genes whose role in differentiation of the hematopoietic stem cell into distinct blood cell lineages can be elucidated.


Assuntos
Células Precursoras Eritroides/metabolismo , Regulação da Expressão Gênica , Redes Reguladoras de Genes , Fatores de Transcrição/metabolismo , Transcrição Gênica , Antígenos CD34/metabolismo , Diferenciação Celular , Células Cultivadas , Análise por Conglomerados , Regulação para Baixo , Perfilação da Expressão Gênica , Globinas/metabolismo , Humanos , Modelos Biológicos , Ligação Proteica , RNA Mensageiro/metabolismo
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