Project description:In the proposed study, investigators will conduct a 90-day dietary intervention study in human subjects. Thirty individuals at risk for adenomatous colon polyp formation will be randomized to receive a calcium and multi-mineral-rich natural product (Aquamin) or a comparable level of calcium alone. There will also be a placebo group. Prior to ingesting the study agents and following the course of treatment, colonic biopsies will be obtained by sigmoidoscopy and quantitatively examined for markers of growth and differentiation. In this study, metabolomic and microbial profiles will also be generated from fecal and colon mucosal samples taken at baseline and study endpoint.
Project description:Colorectal cancer (CRC) is one of the most prevalent cancers affecting humans, with a complex genetic and environmental aetiology. Unlike cancers with known environmental, heritable, or sex-linked causes, sporadic CRC is hard to foresee and has no molecular biomarkers of risk in clinical use. One in twenty CRC cases presents with an established heritable component. The remaining cases are sporadic and associated with partially obscure genetic, epigenetic, regenerative, microbiological, dietary, and lifestyle factors. To tackle this complexity, we should improve the practice of colonoscopy, which is recommended uniformly beyond a certain age, to include an assessment of biomarkers indicative of individual CRC risk. Ideally, such biomarkers will be causal to the disease and potentially modifiable upon dietary or therapeutic interventions. Multi-omics analysis, including transcriptional, epigenetic as well as metagenomic, and metabolomic profiles, are urgently required to provide data for risk analyses. The aim of this article is to provide a perspective on the multifactorial derailment of homeostasis leading to the initiation of CRC, which may be explored via multi-omics and Gut-on-Chip analysis to identify much-needed predictive biomarkers.
Project description:The ProteomeTools project aims to derive molecular and digital tools from the human proteome to facilitate biomedical and life science research. Here, we describe the the generation and multimodal LC-MS/MS analysis of ~4200 tryptic and non-tryptic synthetic citrullinated peptides.
Project description:To better understand proteostasis in health and disease, determination of protein half-lives is essential. We improved the precision and accuracy of peptide-ion intensity based quantification in order to enable accurate determination of protein turnover in non-dividing cells using dynamic-SILAC. This enabled precise and accurate protein half-life determination ranging from 10 to more than 1000 hours. We achieve good proteomic coverage ranging from four to six thousand proteins in several types of non-dividing cells, corresponding to a total of 9699 unique proteins over the entire dataset. Good agreement was observed in half-lives between B-cells, natural killer cells and monocytes, while hepatocytes and mouse embryonic neurons showed substantial differences. Our comprehensive dataset enabled extension and statistical validation of the previous observation that subunits of protein complexes tend to have coherent turnover. Furthermore, we observed complex architecture dependent turnover within complexes of the proteasome and the nuclear pore complex. Our method is broadly applicable and might be used to investigate protein turnover in various cell types.
Project description:Our studies in mice have suggested that the immunological microenvironment of preneoplastic lesions could determine their fate toward neoplasia or regression. A role for gastrointestinal tract bacteria antigens in modulating cancer-related immune responses in the tumor micro- and macro-environment is emerging, thus opening new possibilities for colon cancer prevention.