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...

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 parallel experiments compared to Pck001 but performed with EndoC-βH1 cells instead of human islets. Cells were treated with IFNγ + IL-1β for 48 h and submitted to RNA-seq (n=5), ATAC-seq (n=5), DNA methylation (n=5), and H3K27Ac ChIP-seq (n=4). In addition...

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...

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...

This data package consists of data from human islets (n=5) treated with IFNγ + IL-1β for 48 h and submitted to RNA-seq analysis ( Table 1 ). Data contributors: Arturo Roca-Rivada, Xiaoyan Yi & Décio L. Eizirik: ULB Center for Diabetes Research, Medical Faculty, Université Libre de Bruxelles...

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...

Currently pending public release.

Currently pending public release.

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...

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...