Sequential Isolation of DNA, RNA, Protein, and Metabolite Fractions from Murine Organs and Intestinal Contents for Integrated Omics of Host–Microbiota Interactions

Autor: Emilie E. L. Muller, Linda Wampach, Laura Lebrun, Paul Wilmes, Pranjul Shah
Přispěvatelé: Laboratoire Hétéroéléments et Coordination (DCPH), École polytechnique (X)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), Luxembourg Centre For Systems Biomedicine (LCSB), University of Luxembourg [Luxembourg]
Rok vydání: 2018
Předmět:
Zdroj: Methods in Molecular Biology ISBN: 9781493986934
Microbial Proteomics, Methods and Protocols
Microbial Proteomics, Methods and Protocols, pp.279-291, 2018, ⟨10.1007/978-1-4939-8695-8_19⟩
Popis: The gastrointestinal microbiome plays a central role in health and disease. Imbalances in the microbiome, also referred to as dysbiosis, have recently been associated with a number of human idiopathic diseases ranging from metabolic to neurodegenerative. However, to causally link specific microorganisms or dysbiotic communities with tissue-specific and/or systemic disease-associated phenotypes, systematic in vivo studies are fundamental. Gnotobiotic mouse models have proven to be particularly useful for the elucidation of microbiota-associated characteristics as they provide a means to conduct targeted perturbations followed by analyses of induced localized and systemic effects. Here, we describe a methodology in the framework of systems biology which allows the comprehensive isolation of high quality biomolecular fractions (DNA, RNA, proteins and metabolites) from limited and/or heterogeneous sample material derived from murine brain, liver, and colon tissues, as well as from intestinal contents (fecal pellets and fecal masses). The obtained biomolecular fractions are compatible with current high-throughput genomic, transcriptomic, proteomic, and metabolomic analyses. The resulting data fulfills the premise of systematic measurements and allows the detailed study of tissue-specific and/or systemic effects of host-microbiota interactions in relation to health and disease.
Databáze: OpenAIRE