Project description:Human and rat stool sample Data was acquired using a Bruker Daltonics maXis Impact and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.
Project description:Cardioviruses are a genus of picornaviruses that cause severe illnesses in rodents, but little is known about the prevalence, diversity, or spectrum of disease of such agents among humans. We report the identification of a group of human cardioviruses that have been detected and cloned directly from patient specimens (Chiu and DeRisi, et al, PNAS, 2008). This series includes 9 arrays (both raw and normalized data) used to detect cardioviruses in human respiratory and stool specimens. The arrays employed here are capable of pan-viral detection (Wang and DeRisi, et al., PNAS, 2002). Keywords: viral detection, cardiovirus, TMEV, gastroenteritis The series includes 3 arrays from respiratory samples and 6 arrays from stool samples. Among the 3 arrays from respiratory sample, 1 array has a signature for an adenovirus, 1 array has a signature for human metapneumovirus, and 1 array has a signature for cardiovirus UC1 (see Chiu and DeRisi, et al., PNAS, in 2008). All 6 arrays from stool samples are cardiovirus-positive; some show evidence of dual infection with other gastroenteritis viruses (i.e. norovirus, rotavirus, etc.). Data in Sample records fed to E-Predict (Urisman, et al, Genome Biology, 2005) E-Predict normalization metrics Array Normalization: Sum E-Matrix Normalization: Quadratic Distance Metric: Pearson Uncentered
Project description:MJ2.1 Metabolomics analysis of P70 and P91 stool samples - Data was acquired using a Bruker Daltonics maXis Impact and C18 RP-UHPLC. Positive polarity acquisition of LC-MS/MS.
Project description:Longitudinal analysis of Salmonella typhimurium mRNA from superspeader mouse cecal content and stool compared to in vitro Salmonella typhimurium mRNA.
Project description:Cardioviruses are a genus of picornaviruses that cause severe illnesses in rodents, but little is known about the prevalence, diversity, or spectrum of disease of such agents among humans. We report the identification of a group of human cardioviruses that have been detected and cloned directly from patient specimens (Chiu and DeRisi, et al, PNAS, 2008). This series includes 9 arrays (both raw and normalized data) used to detect cardioviruses in human respiratory and stool specimens. The arrays employed here are capable of pan-viral detection (Wang and DeRisi, et al., PNAS, 2002). Keywords: viral detection, cardiovirus, TMEV, gastroenteritis
Project description:Fecal bile acid (BA) analysis is an emerging area of gut microbiome research. However, sample preparation procedures for fecal BA analysis are not standardized. Current fecal BA analysis often utilizes either original or lyophilized aliquot, and fecal BA result difference between these two processing steps remains not systematically investigated. Moreover, the distribution pattern of fecal BA in the collected stool sample also remains unclear but affects interpretation of fecal BA for downstream experiments. To address these two questions regarding effect of lyophilization on fecal BA and fecal heterogeneity, fourteen separate BAs were quantified from 60 aliquots obtained from 10 clinical fecal samples using liquid chromatography-tandem mass spectrometry (LC-MS/MS). BA concentrations in the lyophilized sample were typically 2-4 folds higher than those in the original sample, but were almost identical using a water-adjusted lyophilized BA concentration. The fecal BA compositional profile and four BA ratios were similar utilizing either the original or lyophilized samples. BA concentrations were similar among different aliquots of differing starting mass except for the relatively trace-level BA. Therefore, it is suggested that fecal BA concentrations should be presented as the original sample concentration or water-adjusted lyophilization concentration to allow comparisons between studies. A single aliquot (20-100 mg) of stool can be used to reflect the concentrations in the entire sample. These results help to standardize analyses in this emerging field.
Project description:Our hypothesis was that conducting proteomic analysis on clinical laboratory samples which are intended for the fecal calprotectin test would enable the develop-ment of a highly sensitive and specific non-invasive stool test based on mass spec-trometry. To investigate this hypothesis, we combined and applied our expertise in basic research, clinical practice, and bioinformatics to develop a precise ma-chine-learning model for the accurate diagnosis of active IBD from symptomatic non-IBDpatients.