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Large-scale analysis of macromolecular crowding effects on protein aggregation using a reconstituted cell-free translation system

Overview of attention for article published in Frontiers in Microbiology, October 2015
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Title
Large-scale analysis of macromolecular crowding effects on protein aggregation using a reconstituted cell-free translation system
Published in
Frontiers in Microbiology, October 2015
DOI 10.3389/fmicb.2015.01113
Pubmed ID
Authors

Tatsuya Niwa, Ryota Sugimoto, Lisa Watanabe, Shugo Nakamura, Takuya Ueda, Hideki Taguchi

Abstract

Proteins must fold into their native structures in the crowded cellular environment, to perform their functions. Although such macromolecular crowding has been considered to affect the folding properties of proteins, large-scale experimental data have so far been lacking. Here, we individually translated 142 Escherichia coli cytoplasmic proteins using a reconstituted cell-free translation system in the presence of macromolecular crowding reagents (MCRs), Ficoll 70 or dextran 70, and evaluated the aggregation propensities of 142 proteins. The results showed that the MCR effects varied depending on the proteins, although the degree of these effects was modest. Statistical analyses suggested that structural parameters were involved in the effects of the MCRs. Our dataset provides a valuable resource to understand protein folding and aggregation inside cells.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 58 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 26%
Student > Ph. D. Student 12 21%
Professor 4 7%
Student > Doctoral Student 4 7%
Student > Bachelor 3 5%
Other 7 12%
Unknown 13 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 34%
Agricultural and Biological Sciences 10 17%
Physics and Astronomy 3 5%
Engineering 2 3%
Chemistry 2 3%
Other 5 9%
Unknown 16 28%
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 08 October 2015.
All research outputs
#20,293,238
of 22,829,683 outputs
Outputs from Frontiers in Microbiology
#22,401
of 24,800 outputs
Outputs of similar age
#233,369
of 278,190 outputs
Outputs of similar age from Frontiers in Microbiology
#349
of 433 outputs
Altmetric has tracked 22,829,683 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,800 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 278,190 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 433 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.