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Biodemography Soc Biol ; 62(2): 182-97, 2016.
Artigo em Inglês | MEDLINE | ID: mdl-27337553

RESUMO

Genome-wide transcriptional profiling has emerged as a powerful tool for analyzing biological mechanisms underlying social gradients in health, but utilization in population-based studies has been hampered by logistical constraints and costs associated with venipuncture blood sampling. Dried blood spots (DBS) provide a minimally invasive, low-cost alternative to venipuncture, and in this article we evaluate how closely the substantive results from DBS transcriptional profiling correspond to those derived from parallel analyses of gold-standard venous blood samples (PAXgene whole blood and peripheral blood mononuclear cells [PBMC]). Analyses focused on differences in gene expression between African-Americans and Caucasians in a community sample of 82 healthy adults (age 18-70 years; mean 35). Across 19,679 named gene transcripts, DBS-derived values correlated r = .85 with both PAXgene and PBMC values. Results from bioinformatics analyses of gene expression derived from DBS samples were concordant with PAXgene and PBMC samples in identifying increased Type I interferon signaling and up-regulated activity of monocytes and natural killer (NK) cells in African-Americans compared to Caucasian participants. These findings demonstrate the feasibility of DBS in field-based studies of gene expression and encourage future studies of human transcriptome dynamics in larger, more representative samples than are possible with clinic- or lab-based research designs.


Assuntos
Biologia Computacional/métodos , Teste em Amostras de Sangue Seco/normas , Leucócitos Mononucleares/patologia , RNA/análise , Adolescente , Adulto , Negro ou Afro-Americano/genética , Idoso , Índice de Massa Corporal , Chicago , Biologia Computacional/economia , Biologia Computacional/normas , Teste em Amostras de Sangue Seco/instrumentação , Teste em Amostras de Sangue Seco/métodos , Feminino , Expressão Gênica/genética , Genoma Humano , Humanos , Masculino , Pessoa de Meia-Idade , Flebotomia/economia , Fatores de Transcrição/análise , Fatores de Transcrição/sangue , População Branca/genética
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