Dataset

RNA-seq study of longitudinal blood cell samples drawn from children at risk of type 1 diabetes

Dataset ID Technology Samples
EGAD00001005767 Illumina HiSeq 2500 306

Dataset Description

The appearance of type 1 diabetes (T1D)-associated autoantibodies is the first and only measurable parameter to predict progression toward T1D in genetically susceptible individuals. However, autoantibodies indicate an active autoimmune reaction, wherein the immune tolerance is already broken. Therefore, there is a clear and urgent need for new biomarkers that predict the onset of the autoimmune reaction preceding auto-antibody positivity or reflect progressive b-cell destruction. Here we report the mRNA sequencing-based analysis of 306 samples including fractionated samples of CD4+ and CD8+ T cells as well as CD4, CD8 cell fractions and unfractionated PBMC samples longitudinally collected from seven children who developed beta-cell autoimmunity (case subjects) at a young age and matched control subjects.

Who controls access to this dataset

For each dataset that requires controlled access, there is a corresponding Data Access Committee (DAC) who determine access permissions. Access to actual data files is not managed by the EGA. If you need to request access to this data set, please contact:

DIABIMMUNE Transcriptomics DAC
Contact person: Riitta Lahesmaa
Email: riitta [dot] lahesmaa [at] utu [dot] fi
More details: EGAC00001001443

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