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 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 data from EndoC-βH1 (n=6) treated with IFNα for 8 and 24 h and submitted to RNA-seq analysis ( Table 1 ). This was generated in parallel with Pck008. Data contributors: Arturo Roca-Rivada, Xiaoyan Yi & Décio L. Eizirik: ULB Center for Diabetes Research, Medical Faculty...

This data package consists of data from MIN6 cells (n=4) treated with IL-1β + IFNγ + TNFα for 24 h post-RNAi targeting ADP-ribosylhydrolase ARH3 (Adprhl2), and submitted to proteomics analysis ( Table 1 ). ARH3 is a hydrolase that keeps cellular ADP-ribosylation levels in check and is regulated by...

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...

This data package consists of data from MIN6 cells (n=3) treated with IFNγ + IL-1β + TNFα with or without DFMO or N1,N11-diethylnorspermine (DENSpm) and submitted to RNA-seq ( Table 1 ). DENSpm is an inhibitor of ornithine decarboxylase (ODC) and polyamine oxidase (PAOX), both enzymes in the...

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...

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...

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...

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...