Dataset: Transcription profiling human whole blood from children with pre-type1diabetes

Type 1 diabetes (T1D) is an autoimmune disease caused by selective destruction of insulin producing pancreatic beta-cells in the islets of the Langerhans. The progression to clinical diabetes is characterized by the appearance of autoantibodies against islet cells (ICA) and beta-cell-specific antigens (IAA, IA-2 and GADA), which are considered the first markers signifying onset of autoimmunity. The mechanisms initiating or enhancing the autoimmune process remain poorly understood. Transcriptomic profiling on whole blood samples provides an approach for monitoring T1D disease process. In these investigations of pathways that are changed during the disease process, we have analyzed RNA from longitudinal peripheral blood samples of children who have developed T1D associated autoantibodies and eventually clinical type 1 diabetes . All study subjects were participants of the Type 1 Diabetes Prediction and Prevention (DIPP) study in Finland (38). Whole-blood RNA samples were collected during periodic clinic visits, typically at 3 to 12 month intervals. 2.5 ml venous blood was drawn into PAXgene Blood RNA tubes (Becton-Dickinson) and stored at -70°C. T1D-associated autoantibodies were measured from blood samples taken at each visit. Prospective samples from 3 children who developed T1D (subjects T1D_1 - T1D_3) and 2 children who developed ICA (subjects ICA_1 and ICA_2) during the DIPP follow-up were selected to the present study. Control children for the T1D cases (subjects T1D_C1 - T1D_C2) were matched for age, gender, birth place and HLA-genotype, from families who have no first-degree relatives with T1D. All samples (n=60) were processed and hybridized on Affymetrix Human Genome U133 Plus 2.0 arrays.

Species:

human

Samples:

60

Source:

E-TABM-666

PubMed:

20356713

Updated:

Dec.12, 2014

Registered:

Sep.22, 2014