Multi-omics data compendium of pancreatic islet and β cell responses to pro-inflammatory cytokines
Year: 2026
Type: dataset
Abstract: In type 1 diabetes (T1D), autoimmune response and inflammation cause the death of pancreatic ß cells, leading to the body’s inability to produce insulin and maintain glucose homeostasis. This process is at least in part mediated by pro-inflammatory cytokines, such as interferon (IFN)a, IFN?, interleukin (IL)-1ß, and tumor necrosis factor (TNF)a, which induce ß-cell dysfunction and apoptosis. A deep understanding of the ß-cell signaling and regulatory networks induced by these cytokines could lead to the identification of therapeutic targets to prevent T1D development. To study cytokine-mediated islets/ß-cell signaling and regulatory networks, a variety of omics experiments have been conducted, including transcriptomics, epigenomics (DNA methylation, UMI-4C, ATAC-seq & ChIP-seq), proteomics (bottom-up, top-down, post-translational modification analysis), lipidomics, and metabolomics. The combination of these datasets can be instrumental in identifying signaling components and regulatory factors involved in ß-cell stress/death. Here, we aggregated these multiple omics datasets into a centralized location, providing a quality-controlled and statistically rigorous resource for investigators seeking to holistically study ß-cell regulation by pro-inflammatory cytokines.
DOI: 10.25584/3012046
Authors: Sarkar, Soumyadeep, Flores, Javier, Nune, Navaj, Ramos-Rodriguez, Mireia, Kulkarni, Abhishek, Ives, Ashley, Hammoud, Batoul, Wu, Wenting, Yi, Xiaoyan, Roca-Rivada, Arturo, Maestas, Marlie, Gluth, Austin, Elliott, Emily, You, Youngki, Krishnan, Preethi, Syed, Farooq, Kim, Young-Mo, Kyle, Jennifer, Kono, Tatsuyoshi, Fulcher, James, Sims, Emily, Tersey, Sarah, Sussel, Lori, Webb-Robertson, Bobbie-Jo, Qian, Weijun, Zhang, Tong, Metz, Thomas, Millman, Jeffrey, Evans-Molina, Carmella, Pasquali, Lorenzo, Mirmira, Raghavendra, Eizirik, Decio, Nakayasu, Ernesto
Subfield: Genetics
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7118436886
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