A framework for human microbiome research
By B. Methé, K. Nelson, Mihai Pop, H. Creasy, Michelle G. Giglio, Curtis Huttenhower, Dirk Gevers, J. Petrosino, Sahar Abubucker, Jonathan H. Badger and 238 more. Nature, 2012
2,418 citations recorded by the source corpus.
A variety of microbial communities and their genes (the microbiome) exist throughout the human body, with fundamental roles in human health and disease. The National Institutes of Health (NIH)-funded Human Microbiome Project Consortium has established a population-scale framework to develop metagenomic protocols, resulting in a broad range of quality-controlled resources and data including standardized methods for creating, processing and interpreting distinct types of high-throughput metagenomic data available to the scientific community. Here we present resources from a population of 242 healthy adults sampled at 15 or 18 body sites up to three times, which have generated 5,177 microbial taxonomic profiles from 16S ribosomal RNA genes and over 3.5 terabases of metagenomic sequence so far. In parallel, approximately 800 reference strains isolated from the human body have been sequenced. Collectively, these data represent the largest resource describing the abundance and variety of the human microbiome, while providing a framework for current and future studies.
Subfields: Food Science, Molecular Biology, Physiology
View Paper: https://www.semanticscholar.org/paper/6a56aa2fde77f51373ad2ca249f04b41dea7a028
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Food Science
- Curtis Huttenhower
- Antonio Gonzalez
- Xochitl C. Morgan
- Rob Knight
- Justin L. Sonnenburg
- Susannah Tringe
- Michael A. Fischbach
- Robert C. Edgar
In Molecular Biology
- Rob Knight
- Curtis Huttenhower
- Antonio Gonzalez
- Dirk Gevers
- Patrick D. Schloss
- Xochitl C. Morgan
- Mitchell L Sogin
- Dan Knights
In Physiology
- Rob Knight
- Curtis Huttenhower
- Justin L. Sonnenburg
- E. Sonnenburg
- Dirk Gevers
- Xochitl C. Morgan
- Dan Knights
- Antonio Gonzalez
Citations in the corpus
- SINTAX: a simple non-Bayesian taxonomy classifier for 16S and ITS sequences (2016, background): “Recent examples include the Human Microbiome Project (HMP Consortium, 2012) and a survey of the Arabidopsis root microbiome (Lundberg et al., 2012).”