The Adipose Tissue Knowledge Portal

Together with the Rydén & Mejhert lab and additional collaborators, we developed and actively maintain the Adipose Tissue Knowledge Portal, an open web-based resource for researchers and clinicians interested in human adipose tissue biology and metabolic disease.

The portal integrates bulk transcriptomic data from more than 6,000 individuals across over 30 clinical cohorts, covering subcutaneous and omental white adipose tissue from male and female subjects. The datasets span a wide range of clinical parameters, including BMI and insulin resistance, enabling robust cross-cohort analyses of gene expression–clinical associations. By combining multiple cohorts, the portal facilitates reproducible identification of obesity-associated transcriptional signatures and more accurate estimation of effect sizes for key adipose tissue genes.

In addition to transcriptomic data, the portal includes adipose tissue proteomics data from a well-characterized clinical cohort of 100 matched individuals with and without type 2 diabetes, supporting integrative multi-layer analyses. An intuitive web interface allows straightforward data exploration, while all underlying code and analysis pipelines are openly available via GitHub, ensuring transparency and reproducibility.