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Vesicular Trafficking and Signaling for Cytokine and Chemokine Secretion in Mast Cells

Overview of attention for article published in Frontiers in immunology, September 2014
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Vesicular Trafficking and Signaling for Cytokine and Chemokine Secretion in Mast Cells
Published in
Frontiers in immunology, September 2014
DOI 10.3389/fimmu.2014.00453
Pubmed ID
Authors

Ulrich Blank, Iris Karina Madera-Salcedo, Luca Danelli, Julien Claver, Neeraj Tiwari, Elizabeth Sánchez-Miranda, Genaro Vázquez-Victorio, Karla Alina Ramírez-Valadez, Marina Macias-Silva, Claudia González-Espinosa

Abstract

Upon activation mast cells (MCs) secrete numerous inflammatory compounds stored in their cytoplasmic secretory granules by a process called anaphylactic degranulation, which is responsible for type I hypersensitivity responses. Prestored mediators include histamine and MC proteases but also some cytokines and growth factors making them available within minutes for a maximal biological effect. Degranulation is followed by the de novo synthesis of lipid mediators such as prostaglandins and leukotrienes as well as a vast array of cytokines, chemokines, and growth factors, which are responsible for late phase inflammatory responses. While lipid mediators diffuse freely out of the cell through lipid bilayers, both anaphylactic degranulation and secretion of cytokines, chemokines, and growth factors depends on highly regulated vesicular trafficking steps that occur along the secretory pathway starting with the translocation of proteins to the endoplasmic reticulum. Vesicular trafficking in MCs also intersects with endocytic routes, notably to form specialized cytoplasmic granules called secretory lysosomes. Some of the mediators like histamine reach granules via specific vesicular monoamine transporters directly from the cytoplasm. In this review, we try to summarize the available data on granule biogenesis and signaling events that coordinate the complex steps that lead to the release of the inflammatory mediators from the various vesicular carriers in MCs.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 137 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 <1%
Spain 1 <1%
Mexico 1 <1%
Germany 1 <1%
Unknown 133 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 29 21%
Student > Ph. D. Student 26 19%
Student > Master 23 17%
Student > Doctoral Student 12 9%
Student > Bachelor 11 8%
Other 22 16%
Unknown 14 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 25%
Biochemistry, Genetics and Molecular Biology 33 24%
Medicine and Dentistry 17 12%
Immunology and Microbiology 12 9%
Pharmacology, Toxicology and Pharmaceutical Science 7 5%
Other 14 10%
Unknown 20 15%
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 12 December 2014.
All research outputs
#15,579,098
of 25,461,852 outputs
Outputs from Frontiers in immunology
#15,185
of 31,698 outputs
Outputs of similar age
#135,202
of 262,524 outputs
Outputs of similar age from Frontiers in immunology
#78
of 175 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,698 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has gotten more attention than average, scoring higher than 51% 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 262,524 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 175 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.