Copyright: ©Author(s) 2026.
World J Diabetes. Apr 15, 2026; 17(4): 115275
Published online Apr 15, 2026. doi: 10.4239/wjd.v17.i4.115275
Published online Apr 15, 2026. doi: 10.4239/wjd.v17.i4.115275
Figure 2 The dataset counts and sample sizes across four major categories in gestational diabetes mellitus transcriptomic studies.
From the innermost to the outermost ring, the concentric layers represent: (1) Broad tissue categories (placenta-related, blood and its components, pancreas/islet-related and others); (2) The number of datasets assigned to each subcategory; and (3) The cumulative sample size for each category. For example, within the placenta-related category, 19 datasets focusing on placenta were identified, together comprising 1189 samples. PBMCs: Peripheral blood mononuclear cells; sEVs: Secreted extracellular vesicles.
- Citation: Xie LL, Li SW, Zou Y, Qin D, Sun J, Xiao YX, Li T, Hao YJ, Li B. Mining transcriptomic data for gestational diabetes mellitus: What public datasets reveal. World J Diabetes 2026; 17(4): 115275
- URL: https://www.wjgnet.com/1948-9358/full/v17/i4/115275.htm
- DOI: https://dx.doi.org/10.4239/wjd.v17.i4.115275