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Predicted Roles for Hypothetical Proteins in the Low-Temperature Expressed Proteome of the Antarctic Archaeon Methanococcoides b urtonii

Overview of attention for article published in Journal of Proteome Research, March 2005
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

blogs
1 blog
patent
3 patents

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
39 Mendeley
citeulike
2 CiteULike
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Title
Predicted Roles for Hypothetical Proteins in the Low-Temperature Expressed Proteome of the Antarctic Archaeon Methanococcoides b urtonii
Published in
Journal of Proteome Research, March 2005
DOI 10.1021/pr049797+
Pubmed ID
Authors

Neil F. W. Saunders, Amber Goodchild, Mark Raftery, Michael Guilhaus, Paul M. G. Curmi, Ricardo Cavicchioli

Abstract

Using liquid chromatography-mass spectrometry, 528 proteins were identified that are expressed during growth at 4 degrees C in the cold adapted archaeon, Methanococcoides burtonii. Of those, 135 were annotated previously as unique or conserved hypothetical proteins. We have performed a comprehensive, integrated analysis of the latter proteins using threading, InterProScan, predicted subcellular localization and visualization of conserved gene context across multiple prokaryotic genomes. Functional information was obtained for 55 proteins, providing new insight into the physiology of M. burtonii. Many of the proteins were predicted to be involved in DNA/RNA binding or modification and cell signaling, suggesting a complex, uncharacterized regulatory network controlling cellular processes during growth at low-temperature. Novel enzymatic functions were predicted for several proteins, including a putative candidate gene for the posttranslational modification of the key methanogenesis enzyme coenzyme M methyl reductase. A bacterial-like CRISPR locus was identified as a strong candidate for archaeal-bacterial lateral gene transfer. Gene context analysis proved a valuable augmentation to the other predictive methods in several cases, by revealing conserved gene associations and annotations in other microbial genomes. Our results underscore the importance of addressing the "hypothetical protein problem" for a complete understanding of cell physiology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Iran, Islamic Republic of 1 3%
United Kingdom 1 3%
Netherlands 1 3%
Canada 1 3%
Unknown 35 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 33%
Student > Ph. D. Student 7 18%
Professor 4 10%
Professor > Associate Professor 4 10%
Student > Bachelor 3 8%
Other 6 15%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 51%
Biochemistry, Genetics and Molecular Biology 9 23%
Immunology and Microbiology 4 10%
Environmental Science 1 3%
Social Sciences 1 3%
Other 0 0%
Unknown 4 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 05 May 2020.
All research outputs
#2,449,702
of 22,707,247 outputs
Outputs from Journal of Proteome Research
#558
of 6,011 outputs
Outputs of similar age
#4,206
of 59,413 outputs
Outputs of similar age from Journal of Proteome Research
#2
of 29 outputs
Altmetric has tracked 22,707,247 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,011 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 90% 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 59,413 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 91% of its contemporaries.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.