↓ Skip to main content

PLOS

Development of HuMiChip for Functional Profiling of Human Microbiomes

Overview of attention for article published in PLOS ONE, March 2014
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
71 Mendeley
Title
Development of HuMiChip for Functional Profiling of Human Microbiomes
Published in
PLOS ONE, March 2014
DOI 10.1371/journal.pone.0090546
Pubmed ID
Authors

Qichao Tu, Zhili He, Yan Li, Yanfei Chen, Ye Deng, Lu Lin, Christopher L. Hemme, Tong Yuan, Joy D. Van Nostrand, Liyou Wu, Xuedong Zhou, Wenyuan Shi, Lanjuan Li, Jian Xu, Jizhong Zhou

Abstract

Understanding the diversity, composition, structure, function, and dynamics of human microbiomes in individual human hosts is crucial to reveal human-microbial interactions, especially for patients with microbially mediated disorders, but challenging due to the high diversity of the human microbiome. Here we have developed a functional gene-based microarray for profiling human microbiomes (HuMiChip) with 36,802 probes targeting 50,007 protein coding sequences for 139 key functional gene families. Computational evaluation suggested all probes included are highly specific to their target sequences. HuMiChip was used to analyze human oral and gut microbiomes, showing significantly different functional gene profiles between oral and gut microbiome. Obvious shifts of microbial functional structure and composition were observed for both patients with dental caries and periodontitis from moderate to advanced stages, suggesting a progressive change of microbial communities in response to the diseases. Consistent gene family profiles were observed by both HuMiChip and next generation sequencing technologies. Additionally, HuMiChip was able to detect gene families at as low as 0.001% relative abundance. The results indicate that the developed HuMiChip is a useful and effective tool for functional profiling of human microbiomes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 70 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 23%
Researcher 13 18%
Student > Master 8 11%
Student > Bachelor 7 10%
Other 4 6%
Other 9 13%
Unknown 14 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 18 25%
Medicine and Dentistry 15 21%
Environmental Science 5 7%
Biochemistry, Genetics and Molecular Biology 5 7%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 8 11%
Unknown 17 24%