PanKbase: A Community Hub for Integrated Pancreas Knowledge
Contact PI: Stephen Parker, PhD, University of Michigan (U24 DK138515)
Jie Liu, PhD, University of Michigan
Shuibing Chen, PhD, Weill Cornell Medical College
Michael Stitzel, PhD, The Jackson Laboratory for Genomic Medicine
Jean-Philippe Cartailler, PhD, Vanderbilt University
Marcela Brissova, PhD, Vanderbilt University Medical Center
Diane Saunders, PhD, Vanderbilt University Medical Center
Start Date: February 1, 2024
Abstract
With the advent of single cell sequencing and multiplexed imaging technologies, several pancreas and islet phenotyping efforts in the United States and Europe are generating multimodal datasets, but information across different resources is fragmented. There is an unmet need in the pancreas and diabetes research community to connect and integrate information generated at the tissue and single cell level by complementary programs in order to define phenotypes and spatial relationships of pancreatic cell types and how they change developmentally and in diseases such as type 1 diabetes (T1D). Through aggregation and integration of diverse data generated from these unique pancreatic tissues and islets, we will build a pancreas knowledgebase (PanKbase) as the third pillar of the Human Islet Research Network (HIRN) community along with the Human Islet Research Enhancement Center (HIREC) and Human Pancreas Analysis Program (HPAP). The knowledge housed and built within PanKbase will be disseminated to the broader scientific community based on FAIR principles. Better access to and integration of these rich datasets will accelerate progress toward understanding T1D etiology and pathophysiology and lead to new diagnostic tool development, and transformative changes in diabetes prevention and care. Our project aspires to capitalize on features of the Pancreatlas and GenomicKB platform to build Pankbase that will connect and integrate pancreas and islet datasets generated through international tissue mapping efforts. In addition, PanKbase will have an analytics component that will enable the generation of new insights into molecular signatures of T1D and importantly facilitate cross-organ analysis (for example, pancreas and immune organs) for different stages of T1D development. We will make these insights openly accessible to all, including: basic scientists, pharmaceutical industry, clinicians designing and conducting clinical trials to prevent and treat T1D, and the macine learning community. PanKbase-fostered cross-disciplinary collaborations will promote innovation, with the ultimate aim of improving the lives of people with T1D.