Diana Campos-Iglesias, José M P Freije, Carlos López-Otín
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引用次数: 0
Abstract
The gut microbiota is a complex community of different microbial species that influence many aspects of health. Consequently, shifts in the composition of gut microbiome have been proposed to exert negative effects on the host physiology, leading to the pathogenesis of various age-related disorders, including cardiovascular and neurological diseases, type 2 diabetes, obesity, non-alcoholic liver disease, and other pathological conditions. Thus, understanding how the gut microbiota influences the aging-related decline is particularly topical. Advances in next-generation sequencing techniques, together with mechanistic experiments in animal models, have provided substantial improvements in microbiome analysis. However, standardization and best practices are needed to limit experimental variation between different studies. Here, we detail a simple method for microbiota composition analysis in mouse fecal samples using 16S rRNA next-generation sequencing.
期刊介绍：
For over fifty years, Methods in Cell Biology has helped researchers answer the question "What method should I use to study this cell biology problem?" Edited by leaders in the field, each thematic volume provides proven, state-of-art techniques, along with relevant historical background and theory, to aid researchers in efficient design and effective implementation of experimental methodologies. Over its many years of publication, Methods in Cell Biology has built up a deep library of biological methods to study model developmental organisms, organelles and cell systems, as well as comprehensive coverage of microscopy and other analytical approaches.
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