This data package consists of RNA-seq data from human islets (n=10) treated with IFNγ + IL-1β for 24 h ( Table 1 ). Data contributors: Wenting Wu & Carmella Evans-Molina: Center for Diabetes and Metabolic Diseases, Indiana University School of Medicine, Indianapolis, IN, USA. Farooq Syed: Center for...

The data package consists of RNA-seq data from human islet-derived exosomes post IFNγ + IL-1β treatment of human islets (n=5) for 24 h ( Table 1 ). Data contributors: Preethi Krishnan& Carmella Evans-Molina: Department of Diabetes Immunology, Beckman Research Institute, City of Hope, Duarte, CA, USA...

This data package consists of data from human islets (n=5) treated with IFNγ + IL-1β with or without difluoromethylornithine (DFMO) and submitted to RNA-seq and proteomics analysis ( Table 1 ). DFMO is an inhibitor of ornithine decarboxylase (ODC), an enzyme of the polyamine pathway. Therefore, this...

The data package consists of data from iPSC: HEL115.6-derived islet-like aggregates treated with IFNα for 24 h and submitted to RNA-seq (n=5) and scRNA-seq (n=5). ( Table 1 ). Data contributors: Arturo Roca-Rivada, Xiaoyan Yi & Décio L. Eizirik: ULB Center for Diabetes Research, Medical Faculty...

This data package consists of data from human islets and EndoC-βH1 cells treated with IFNα for 2, 8, or 24 h and submitted to RNA-seq (human islets: n=6 & EndoC-βH1: n=5) and ATAC-seq (n=4). In parallel, a batch of cells (n=4) had proteomics, lipidomics, and metabolomics performed in the same...

This data package consists of data from human islets treated for 48 h with cytokines (IFNγ, TNFα, and/or IL1β), thapsigargin (TG), brefeldin A (BFA), or DMSO for the control (CTRL) and submitted for single-cell RNA-seq (n=5) and single-nucleus multi-omics sequencing (snMultiomics-seq, n=1) ( Table 1...

It consists of human islets (n=10, subdivided into 2 batches) treated with IFNγ + IL-1β for 24 h and submitted to proteomics, lipidomics and metabolomics in the same samples ( Table 1 ) Data contributors: Ernesto S. Nakayasu, Jennifer Kyle, Young-Mo Kim, Soumyadeep Sarkar & Thomas O. Metz...

This data package consists of data from sets of β-TC-3 cells (n=3) treated with IL-1β + IFNγ + TNFα for 24 h with or without ML351 and submitted to RNA-seq ( Table 1 ). ML351 is an inhibitor of 12-lipoxygenase, an enzyme that produces 12-HETE. Therefore, this treatment was done to study whether...

This data package consists of data from MIN6 cells treated with IL-1β + IFNγ + TNFα + palmitate for 24 h and submitted to proteomics analysis, and the same treatment for 8 h for metabolomics analysis (n=4) ( Table 1 ). This experimental design was set to study the possible roles of free fatty acids...

This data package consists of data from human islets (n=6) treated with IFNγ + IL-1β for 24 h and submitted to top-down proteomics ( Table 1 ). Data contributors: Ashley Ives, Wei-Jun Qian & James Fulcher: Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA...

The data package consists of RNA-seq datasets of EndoC-βH1 cells treated in parallel with IFNα, IFNγ, IL-1β and TNFα for 24 h and submitted to RNA-seq (n=4) ( Table 1 ) Data contributors: Arturo Roca-Rivada, Xiaoyan Yi & Décio L. Eizirik: ULB Center for Diabetes Research, Medical Faculty, Université...

Please cite as : Mary S. Lipton, William C. Nelson, Hugh McCullough, Montana L. Smith, Sheryl L. Bell, Lisa M. Bramer, Hyun-Seob Song, Kirsten Hofmockel, 2025. Moisture Metaphenome Incubation Analysis Results . [Data Set] PNNL DataHub. https://doi.org/10.25584/3007775 This data is published under a...

RhizoGrid Indexed Sorghum Rhizosphere Multi-Omics Identification of spatially resolved biomarkers of drought in Sorghum bicolor rhizosphere molecular-microbe interactions using a novel root cartography "RhizoGrid" system for sampling plants under drought and control conditions across 10 equally...

This dataset was generated using an iterative active learning strategy with the ArcaNN software package ( https://github.com/arcann-chem/arcann_training ) to train machine-learning interatomic potentials (MLIPs) for aqueous nitric acid. Each active-learning cycle consisted of three stages: (1)...

Biomineralization is the process by which organisms use biomolecules to produce hierarchically structured organic-inorganic composites. Using biology as inspiration, a protein construct (FD31) was previously designed to accelerate formation of nano-calcite with an unconventional {110} face. To...