↓ Skip to main content

Proteomics in Biology, Part B

Overview of attention for book
Proteomics in Biology, Part B
Elsevier Science
Attention for Chapter: Rapid Proteomics to Prospect and Validate Novel Bacterial Metabolism Induced by Environmental Burden
Altmetric Badge

Mentioned by

twitter
1 X user

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Chapter title
Rapid Proteomics to Prospect and Validate Novel Bacterial Metabolism Induced by Environmental Burden
Book title
Proteomics in Biology, Part B
Published in
Methods in enzymology, January 2017
DOI 10.1016/bs.mie.2016.11.003
Pubmed ID
Book ISBNs
978-0-12-809743-4
Authors

C.L. Yu, S. Brooks, Y. Li, M. Subramanian, R. Summers, M. Pope

Abstract

Understanding the pathophysiology of genes and enzymes involved in caffeine metabolism can have extracurricular benefits, such as providing distinct methylxanthines as intermediates for pharmaceutical synthesis, and also improve environmental waste remediation. The strains Pseudomonas putida CBB5 and CES may provide insights into these applications because they may both be induced to degrade caffeine, yet the latter thrives in concentrations >8.0gL(-1); threefold higher than any other bacteria. We took a novel approach toward identifying the enzymatic pathways in both Pseudomonas sp. CES and a deletion mutation of strain CBB5, which largely circumvented the need for exhaustive isolation of enzymes and the stepwise reconstitution of their activities to determine caffeine response elements. Here, we describe two optimized, rapid alternative strategies based on multiplexed SIL assays and demonstrate their application by discovering caffeine-degrading enzymes in the CES strain based on quantitative comparison between enriched lysate fractions drawn from bacterial proteomes grown in the absence and presence of caffeine. Comparisons were made using stable isotope dimethyl labeling and expression differences were substantiated by reciprocal labeling experiments. The role of the identified proteins in caffeine degradation was independently verified by genetic sequencing. Multiple new components of N-demethylase system were discovered within a fraction of the lysate enriched specifically for this activity. We also describe how to expand the biological context (and reduce systemic bias) by adapting the protocol for total lysate analysis. We combined off-line prefractionation with the speed and resolution advantages of the Orbitrap LUMOS. The global protocol revealed 2406 proteins 1789 of which were quantified between treatments revealing, among other insights, a new antagonistic degradation pathway for vanillin that is completely suppressed by caffeine treatment.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 15%
Student > Master 4 15%
Student > Doctoral Student 3 11%
Researcher 2 7%
Other 1 4%
Other 4 15%
Unknown 9 33%
Readers by discipline
Readers by discipline Count As %
Pharmacology, Toxicology and Pharmaceutical Science 5 19%
Biochemistry, Genetics and Molecular Biology 3 11%
Chemical Engineering 2 7%
Agricultural and Biological Sciences 2 7%
Social Sciences 2 7%
Other 3 11%
Unknown 10 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 23 August 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from Methods in enzymology
#2,056
of 2,606 outputs
Outputs of similar age
#311,385
of 421,208 outputs
Outputs of similar age from Methods in enzymology
#67
of 110 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,606 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 13th percentile – i.e., 13% of its peers scored the same or lower than it.
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 421,208 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.