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...

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...

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...

This data package consists of data from human islets (n=8) treated with IFNγ + IL-1β for 24 h and submitted to phosphoproteomics ( Table 1 ). Data contributor: Wei-Jun Qian: Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, 99354, USA. Data repository: PXD011857...

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 contains processed LC-MS proteomics results and analysis scripts associated with the paper "Assessing Degenerate Peptide Resolution Methods using a Ground Truth Dataset". In this study, we designed an artificial microbial community to create a ground truth, simulated metaproteomic...

This repository contains data and code for the experiments run in the paper "Understanding Generative AI Content with Embedding Models" ( https://arxiv.org/abs/2408.10437 ). DataBase POC: Max Vargas (max.vargas@pnnl.gov) The data is separated by experiment: A. The `stack_exchange` dataset contains a...

Dataset Description The goal of the experiment was to demonstrate that the optimized multiplexed multi-PTM profiling workflow can comprehensively and quantitatively capture dynamic changes in protein abundance, cysteine oxidation, phosphorylation, and acetylation in cytokine-induced inflammatory...

This repository contains data for the experiments run in the paper "Understanding Generative AI Content with Embedding Models" ( https://arxiv.org/abs/2408.10437 ). DataBase POC: Max Vargas (max.vargas@pnnl.gov) The data is separated by experiment: A. The `stack_exchange` dataset contains a...

Created on 2024-10-16T17:27:40+00:00 by LN Anderson ; Last updated 2025-08-01T15:13:46+00:00. S. elongatus PCC 7942 LiP and TPP Structural Proteomics (JM-PB-DP3) The purpose of this experiment was to investigate structural alterations in proteins involved in central carbon metabolism and...

Dataset Description The purpose of this experiment was to evaluate the human host cellular response to wild type human coronavirus strain 229E (HCoV-229E) infection. Sample data was obtained for mock-infected and immortalized human lung fibroblasts (MRC-5) (MOI 5). Whole cell lysates were collected...

Currently pending public release.

Currently pending public release.

Dataset Description The purpose of this experiment was to evaluate the human host cellular response to wild-type Human coronavirus strain 229E (HCoV-229E) infection. Sample data was obtained for mock and infected immortalized human lung epithelial cells (A549) (MOI 5) nuclear extracts, immortalized...