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A computational model of PKD and CERT interactions at the trans-Golgi network of mammalian cells

Overview of attention for article published in BMC Systems Biology, February 2015
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Title
A computational model of PKD and CERT interactions at the trans-Golgi network of mammalian cells
Published in
BMC Systems Biology, February 2015
DOI 10.1186/s12918-015-0147-1
Pubmed ID
Authors

Patrick Weber, Mariana Hornjik, Monilola A Olayioye, Angelika Hausser, Nicole E Radde

Abstract

In mammalian cells protein-lipid interactions at the trans-Golgi network (TGN) determine the formation of vesicles, which transfer secretory proteins to the cellular membrane. This process is regulated by a complex molecular network including protein kinase D (PKD), which is directly involved in the fission of transport vesicles, and its interaction with the ceramide transfer protein CERT that transports ceramide from the endoplasmic reticulum to the TGN. Here we present a novel quantitative kinetic model for the interactions of the key players PKD, phosphatidylinositol 4-kinase III beta (PI4KIII β) and CERT at the TGN membranes. We use sampling-based Bayesian analysis and perturbation experiments for model calibration and validation. Our quantitative predictions of absolute molecular concentrations and reaction fluxes have major biological implications: Model comparison provides evidence that PKD and CERT interact in a cooperative manner to regulate ceramide transfer. Furthermore, we identify active PKD to be the dominant regulator of the network, especially of CERT-mediated ceramide transfer.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Germany 1 5%
Unknown 20 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 27%
Researcher 4 18%
Student > Bachelor 3 14%
Professor 2 9%
Student > Master 2 9%
Other 2 9%
Unknown 3 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 18%
Agricultural and Biological Sciences 3 14%
Economics, Econometrics and Finance 3 14%
Computer Science 3 14%
Mathematics 1 5%
Other 4 18%
Unknown 4 18%
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 19 April 2015.
All research outputs
#20,273,512
of 22,805,349 outputs
Outputs from BMC Systems Biology
#1,009
of 1,142 outputs
Outputs of similar age
#215,359
of 255,459 outputs
Outputs of similar age from BMC Systems Biology
#19
of 21 outputs
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So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 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.