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Identification of a Munc13-sensitive step in chromaffin cell large dense-core vesicle exocytosis

Overview of attention for article published in eLife, November 2015
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Article details
Title
Identification of a Munc13-sensitive step in chromaffin cell large dense-core vesicle exocytosis
Published in
eLife, November 2015
DOI 10.7554/elife.10635
Pubmed ID
Authors
Abstract

It is currently unknown whether the molecular steps of large dense-core vesicle (LDCV) docking and priming are identical to the corresponding reactions in synaptic vesicle (SV) exocytosis. Munc13s are essential for SV docking and priming, and we systematically analyzed their role in LDCV exocytosis using chromaffin cells lacking individual isoforms. We show that particularly Munc13-2 plays a fundamental role in LDCV exocytosis, but in contrast to synapses lacking Munc13s, the corresponding chromaffin cells do not exhibit a vesicle docking defect. We further demonstrate that ubMunc13-2 and Munc13-1 confer Ca(2+)-dependent LDCV priming with similar affinities, but distinct kinetics. Using a mathematical model, we identify an early LDCV priming step that is strongly dependent upon Munc13s. Our data demonstrate that the molecular steps of SV and LDCV priming are very similar while SV and LDCV docking mechanisms are distinct.

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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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 1%
Unknown 73 99%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 16 22%
Researcher 9 12%
Student > Bachelor 6 8%
Other 5 7%
Professor 5 7%
Other 18 24%
Unknown 15 20%
Readers by discipline
Readers by discipline Count As %
Neuroscience 22 30%
Biochemistry, Genetics and Molecular Biology 15 20%
Agricultural and Biological Sciences 15 20%
Medicine and Dentistry 2 3%
Unspecified 1 1%
Other 5 7%
Unknown 14 19%
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 18 November 2015.
All research outputs
#15,350,522
of 22,833,393 outputs
Outputs from eLife
#12,552
of 13,835 outputs
Outputs of similar age
#226,049
of 386,426 outputs
Outputs of similar age from eLife
#251
of 298 outputs
Altmetric has tracked 22,833,393 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,835 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.0. This one is in the 6th percentile – i.e., 6% 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 386,426 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 298 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.