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Regulation of the Yersinia type III secretion system: traffic control

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, January 2013
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Title
Regulation of the Yersinia type III secretion system: traffic control
Published in
Frontiers in Cellular and Infection Microbiology, January 2013
DOI 10.3389/fcimb.2013.00004
Pubmed ID
Authors

Rebecca S. Dewoody, Peter M. Merritt, Melanie M. Marketon

Abstract

Yersinia species, as well as many other Gram-negative pathogens, use a type III secretion system (T3SS) to translocate effector proteins from the bacterial cytoplasm to the host cytosol. This T3SS resembles a molecular syringe, with a needle-like shaft connected to a basal body structure, which spans the inner and outer bacterial membranes. The basal body of the injectisome shares a high degree of homology with the bacterial flagellum. Extending from the T3SS basal body is the needle, which is a polymer of a single protein, YscF. The distal end of the needle serves as a platform for the assembly of a tip complex composed of LcrV. Though never directly observed, prevailing models assume that LcrV assists in the insertion of the pore-forming proteins YopB and YopD into the host cell membrane. This completes a bridge between the bacterium and host cell to provide a continuous channel through which effectors are delivered. Significant effort has gone into understanding how the T3SS is assembled, how its substrates are recognized and how substrate delivery is controlled. Arguably the latter topic is the least understood; however, recent advances have provided new insight, and therefore, this review will focus primarily on summarizing the current state of knowledge regarding the control of substrate delivery by the T3SS. Specifically, we will discuss the roles of YopK, as well as YopN and YopE, which have long been linked to regulation of translocation. We also propose models whereby the YopK regulator communicates with the basal body of the T3SS to control translocation.

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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 201 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 1%
Mexico 1 <1%
New Zealand 1 <1%
Unknown 196 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 21%
Student > Bachelor 38 19%
Student > Master 30 15%
Student > Doctoral Student 20 10%
Researcher 18 9%
Other 23 11%
Unknown 30 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 82 41%
Biochemistry, Genetics and Molecular Biology 40 20%
Immunology and Microbiology 20 10%
Medicine and Dentistry 7 3%
Chemistry 6 3%
Other 14 7%
Unknown 32 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 September 2020.
All research outputs
#14,743,944
of 22,694,633 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#3,117
of 6,299 outputs
Outputs of similar age
#175,237
of 280,671 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#46
of 92 outputs
Altmetric has tracked 22,694,633 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,299 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 45th percentile – i.e., 45% 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 280,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 92 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.