ABSTRACT: Evaluates the impact of fecal sample preparation, protein digestion, data acquisition mode and bioinformatic workflow on metaproteomic observations
Project description:evaluate the impact of fecal sample preparation protein digestion data acquisition mode and bioinformatic workflow on metaproteomic observations
Project description:Metaproteomics of a human fecal standard, MetaP, with ASTRAL tandem mass spectometer operated in data-dependent analysis for deep-proteotyping and evaluate metaproteomics strategies.
Project description:Metaproteomics of a human fecal standard, MetaP, with an Exploris480 tandem mass spectometer operated in data-dependent analysis for proteotyping and evaluation of metaproteomics strategies.
Project description:This study aimed to analyze changes in gut microbiota composition in mice after transplantation of fecal microbiota (FMT, N = 6) from the feces of NSCLC patients by analyzing fecal content using 16S rRNA sequencing, 10 days after transplantation. Specific-pathogen-free (SPF) mice were used for each experiments (N=4) as controls.
Project description:In-depth metaproteomics of a human fecal standard, MetaP, with ASTRAL tandem mass spectometer operated in data-independent acquisition mode for 15 min or 30 min and with a database built following sample taxonomical proteotyping.
Project description:In-depth metaproteomics of a human fecal standard, MetaP, with ASTRAL tandem mass spectometer operated in data-independent acquisition mode for 60 min or 90 min and with a database built following sample taxonomical proteotyping.
Project description:A prospective, multicenter, cohort study was conducted in patients with severe obesity, who were randomized between two bariatric surgery techniques (Roux-en-Y gastric bypass and one anastomosis gastric bypass). Fecal samples were collected from 45 obese patients before surgery (T0) and 24 months after surgery (T1) and analyzed by shotgun metaproteomics.
Project description:Quantitative metaproteomics is a relatively new research field by applying proteomics technique to study microbial proteins of microbiome, and holds the great potential to truly quantify the functional proteins actually expressed by microbes in the biological environment such as gastrointestinal tract. The significant association between arsenic exposure and gut microbiome perturbations has been reported; however, metaproteomics has not yet been applied to study arsenic induced proteome changes of microbiome. Most importantly, to our knowledge, isobaric-labeling based large-scale metaproteomics has not been reported using the advanced database search approaches such as MetaPro-IQ and matched metagenome database search strategies to provide high quantification accuracy and less missing quantification values. In the present study, a new experimental workflow coupled with isobaric labeling and MetaPro-IQ was demonstrated for metaproteomics study of arsenic induced gut microbiome perturbations. The advantages of this workflow were also discussed. For all 18 fecal samples analyzed, 7,611 protein groups were quantified without any missing values. The consistent results of expression profiles were observed between 16S rRNA gene sequencing and metaproteomics. This isobaric labeling based workflow demonstrated the significant improvement of quantitative metaproteomics for gut microbiome study.