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Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome

Overview of attention for article published in Genome Medicine, April 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • Good Attention Score compared to outputs of the same age and source (71st percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
23 X users
facebook
1 Facebook page
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
175 Dimensions

Readers on

mendeley
301 Mendeley
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Title
Ultra-deep and quantitative saliva proteome reveals dynamics of the oral microbiome
Published in
Genome Medicine, April 2016
DOI 10.1186/s13073-016-0293-0
Pubmed ID
Authors

Niklas Grassl, Nils Alexander Kulak, Garwin Pichler, Philipp Emanuel Geyer, Jette Jung, Sören Schubert, Pavel Sinitcyn, Juergen Cox, Matthias Mann

Abstract

The oral cavity is home to one of the most diverse microbial communities of the human body and a major entry portal for pathogens. Its homeostasis is maintained by saliva, which fulfills key functions including lubrication of food, pre-digestion, and bacterial defense. Consequently, disruptions in saliva secretion and changes in the oral microbiome contribute to conditions such as tooth decay and respiratory tract infections. Here we set out to quantitatively map the saliva proteome in great depth with a rapid and in-depth mass spectrometry-based proteomics workflow. We used recent improvements in mass spectrometry (MS)-based proteomics to develop a rapid workflow for mapping the saliva proteome quantitatively and at great depth. Standard clinical cotton swabs were used to collect saliva form eight healthy individuals at two different time points, allowing us to study inter-individual differences and interday changes of the saliva proteome. To accurately identify microbial proteins, we developed a method called "split by taxonomy id" that prevents peptides shared by humans and bacteria or between different bacterial phyla to contribute to protein identification. Microgram protein amounts retrieved from cotton swabs resulted in more than 3700 quantified human proteins in 100-min gradients or 5500 proteins after simple fractionation. Remarkably, our measurements also quantified more than 2000 microbial proteins from 50 bacterial genera. Co-analysis of the proteomics results with next-generation sequencing data from the Human Microbiome Project as well as a comparison to MALDI-TOF mass spectrometry on microbial cultures revealed strong agreement. The oral microbiome differs between individuals and changes drastically upon eating and tooth brushing. Rapid shotgun and robust technology can now simultaneously characterize the human and microbiome contributions to the proteome of a body fluid and is therefore a valuable complement to genomic studies. This opens new frontiers for the study of host-pathogen interactions and clinical saliva diagnostics.

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Brazil 1 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
India 1 <1%
Unknown 295 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 62 21%
Researcher 54 18%
Student > Master 36 12%
Student > Bachelor 24 8%
Student > Doctoral Student 14 5%
Other 44 15%
Unknown 67 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 63 21%
Agricultural and Biological Sciences 57 19%
Medicine and Dentistry 39 13%
Immunology and Microbiology 12 4%
Chemistry 10 3%
Other 39 13%
Unknown 81 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 October 2022.
All research outputs
#1,297,742
of 25,998,826 outputs
Outputs from Genome Medicine
#263
of 1,612 outputs
Outputs of similar age
#21,596
of 317,490 outputs
Outputs of similar age from Genome Medicine
#11
of 38 outputs
Altmetric has tracked 25,998,826 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 317,490 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 38 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.