ABSTRACT: This is GCxGC MS data from exhaled breath from humanized mice as well as germ-free controls. Raw files in CDF format (Figure S5B, S5C, Figure S6D, Figure 5D of associated publication)
Project description:This is GCxGC MS data from exhaled breath from conventional and conventionalized mice as well as germ-free controls. Raw files in CDF format (Figure 3A-F, Figure S4A-B from our publication)
Project description:This is GCxGC MS raw data from exhaled breath from colonized gnotobiotic mice with one of five common gut commensals including A. muciniphila, B. thetaiotaomicron, Collinsella aerofaciens, E. coli, and Ruminococcus torques and sterile media controls. Raw files in CDF format. (Figures 5B and 6 from associated publication)
Project description:mzML files used to generate Figure 2B.
Isoprene in the exhaled breath of mice receiving daily isoprene doses for 14 days, and exhaled breath of mice receiving concurrent daily vehicle controls, or in the ambient air alone
Project description:mzML files used to generate Figure 1A-F, Figure S1D-E, Figure 7B, Figure S5A-F.
Breath samples collected from healthy and asthmatic children
Project description:This is GCxGC MS data from headspace VOCs from A. muciniphila, B. thetaiotaomicron, Collinsella aerofaciens, E. coli, and Ruminococcus torques and sterile media controls. Raw files in CDF format. (Figures 5A, 6, 4B from associated publication)
Project description:To analyze expression of inflammatory cytokines in Exhaled Breath Condensates from pediatric patients with sickle cell disease, asthma, sickle cell disease and asthma, and controls
Project description:Obtaining multiple sample types from the same exhaled breath condensate (EBC) sample can reduce the number of samples needed for diagnostics purposes, allowing for sampling to be completed quicker and making it even easier to collect breath from patients. In this study, we performed analysis for volatile organic compounds (VOCs) and proteins from the same EBC sample. Pooled EBC samples were split into two groups: three samples that utilized immersion thin film-solid phase microextraction (TF-SPME) sampling for VOCs analysis and three samples that did not undergo TF-SPME sampling (non-TF-SPME). All six EBC samples were analyzed using liquid chromatography with tandem mass spectrometry (LC-MS/MS) for proteomics analysis. VOCs were analyzed via two-dimensional gas chromatography-mass spectrometry (GC x GC-MS). One hundred and eighty-four VOCs were found to be more abundant in EBC samples compared to blank or controls. There was no significant difference in the number of proteins detected in the TF-SPME samples compared to the non-TF-SPME samples and 144 of the 206 total unique proteins detected were found in both sample groups. These results indicate that TF-SPME sampling does not negatively affect the number of proteins that can be detected in EBC. This work is a step towards linking VOC and protein data together to obtain multi-omics breath data from a single breath sample.
Project description:The establishment and public sharing of comprehensive proteome maps of human tissues and biofluids are essential to improve biomedical knowledge and to support biomarker discovery studies. In this study, we performed an in-depth proteomics characterization of the exhaled breath condensate (EBC), a non-invasive sample obtained from the condensation of the airway lining fluid. Two pooled samples of EBC, each combined from 10 healthy donors, were lyophilized and their protein content analyzed by high-resolution tandem mass spectrometry-based proteomics. Two “technical” negative control samples were processed in parallel with the pooled samples to correct for exogenous protein contamination and avoid erroneous identifications.