Chapter title |
Sequential Isolation of DNA, RNA, Protein, and Metabolite Fractions from Murine Organs and Intestinal Contents for Integrated Omics of Host–Microbiota Interactions
|
---|---|
Chapter number | 19 |
Book title |
Microbial Proteomics
|
Published in |
Methods in molecular biology, September 2018
|
DOI | 10.1007/978-1-4939-8695-8_19 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8693-4, 978-1-4939-8695-8
|
Authors |
Pranjul Shah, Emilie E. L. Muller, Laura A. Lebrun, Linda Wampach, Paul Wilmes, Shah, Pranjul, Muller, Emilie E. L., Lebrun, Laura A., Wampach, Linda, Wilmes, Paul |
Abstract |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 16 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 25% |
Student > Master | 3 | 19% |
Student > Ph. D. Student | 2 | 13% |
Unspecified | 1 | 6% |
Other | 1 | 6% |
Other | 2 | 13% |
Unknown | 3 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 3 | 19% |
Agricultural and Biological Sciences | 3 | 19% |
Medicine and Dentistry | 2 | 13% |
Immunology and Microbiology | 1 | 6% |
Unspecified | 1 | 6% |
Other | 2 | 13% |
Unknown | 4 | 25% |