In this analysis a microarray gene expression dataset will be analysed, attempting to obtain an understanding on gene expression among type 2 diabetic and non-diabetic individuals between two cohorts (organ donors vs partially pancreatectomized patients).

This dataset is extracted from IMIDIA Biobank project (Improving beta-cell function and identification of diagnostic biomarkers For treatment monitoring in diabetes)which was launched on February, 2010[1].

⚪ Source: IMIDIA biobank data 🔗 [https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE76896]

⚪ GEO Accession Number: GSE76896

⚪ Platform: Affymetrix Human Genome U133 Plus 2.0 Array

⚪ Sample Details: pancreatic islet samples from organ donors and partially pancreatectomized patients

The dataset "GSE76896.ALL.csv" contains the prepared data which contain the gene id, gene expression data, disease status (T2D vs ND, where T2D is Type 2 Diabetes and ND is Non-Diabetic), sample number (GSM0000000) and cohort type (rgan donors vs partially pancreatectomized patients).

[1] GmbH, A. (2021). IMIDIA - European compined excellence in diabetes research. Retrieved 3 February 2021, from https://www.imidia.org/

[2] Solimena, Michele et al. “Systems biology of the IMIDIA biobank from organ donors and pancreatectomised patients defines a novel transcriptomic signature of islets from individuals with type 2 diabetes.” Diabetologia vol. 61,3 (2018): 641-657. https://doi:10.1007/s00125-017-4500-3

[3] Khamis, A., Canouil, M., Siddiq, A., Crouch, H., Falchi, M., Bulow, M. V., Ehehalt, F., Marselli, L., Distler, M., Richter, D., Weitz, J., Bokvist, K., Xenarios, I., Thorens, B., Schulte, A. M., Ibberson, M., Bonnefond, A., Marchetti, P., Solimena, M., & Froguel, P. (2019). Laser capture microdissection of human pancreatic islets reveals novel eQTLs associated with type 2 diabetes. Molecular metabolism, 24, 98–107. https://doi.org/10.1016/j.molmet.2019.03.004