Project description:This SuperSeries is composed of the following subset Series: GSE21369: Gene expression profiles of interstitial lung disease (ILD) patients GSE21394: MicroRNA expression profiles of interstitial lung disease (ILD) patients Refer to individual Series
Project description:This is a longitudinal observational study on patients with gastrointestinal and related disease. The study will be conducted for at least 10 years, following each participant over time, as they either go through relapses and remissions, or progression of their disease.
Project description:This submission corresponds to peptides identified from proteomics analysis of tryptic digests of lung homogenates from C57Bl/6 mice infected with avian influenza (A/VN/1203/04). Mice were infected at 10e2, 10e3, or 10e4 pfu (n = 5 each) and sacrificed at 1, 2, 4, and 7 d post-infection. Aliquots of lung proteins were combined to create two pools corresponding to early (1 and 2 d post-infection) and late (4 and 7 d post-infection) infection and each pool was then subjected to tryptic digestion, followed by strong-cation exchange fractionation, resulting in 24 fractions each. Capillary LC-MS/MS analysis was then performed on each fraction. This submission corresponds to proteomics data collected from capillary LC-MS/MS analysis of the early infection pool. The MS/MS datasets were searched with SEQUEST using no enzyme search rules, and the peptide identification results were filtered using the following cutoffs; XCorr >= 1.6, 2.4, or 3.2 for 1+, 2+, or 3+ for fully tryptic peptides, and >= 4.3 or 4.7 for 2+ or 3+ partially tryptic or non-tryptic protein terminal peptides. Additionally, to reduce the total data size to a reasonable level, each spectrum was filtered to only include the top 100 most abundant ions in each 100 m/z-wide window. This submission is the aggregation of 24 individual LC-MS/MS analyses into one pseudo dataset. More information can be found at the following web sites: https://www.systemsvirology.org/project/home/begin.view? http://omics.pnl.gov