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A systems biology analysis connects insulin receptor signaling with glucose transporter translocation in rat adipocytes

Overview of attention for article published in Journal of Biological Chemistry, May 2017
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Title
A systems biology analysis connects insulin receptor signaling with glucose transporter translocation in rat adipocytes
Published in
Journal of Biological Chemistry, May 2017
DOI 10.1074/jbc.m117.787515
Pubmed ID
Authors

Niclas Bergqvist, Elin Nyman, Gunnar Cedersund, Karin G Stenkula

Abstract

Type 2 diabetes is characterized by insulin resistance, which arises from malfunctions in the intracellular insulin signaling network. Knowledge of the insulin signaling network is fragmented and, because of the complexity of this network, little consensus has emerged for the structure and importance of the different branches of the network. To help overcome this complexity, systems biology mathematical models have been generated for predicting both the activation of the insulin receptor (IR) and the redistribution of glucose transporter 4 (GLUT4) to the plasma membrane. Although the insulin signal transduction between IR and GLUT4 has been thoroughly studied with modelling and time-resolved data in human cells, comparable analyses in cells from commonly used model organisms such as rats and mice are lacking. Here, we combined existing data and models for rat adipocytes with new data collected for the signaling network between IR and GLUT4 to create a model also for their inter-connections. To describe all data (>140 data points), the model needed three distinct pathways from IR to GLUT4: i) via protein kinase B (PKB) and Akt substrate of 160 kDa (AS160), ii) via an AS160-independent pathway from PKB, and iii) via an additional pathway from IR, e.g. affecting the membrane constitution. The developed combined model could describe data not used for training the model and was used to generate predictions of the relative contributions of the pathways from IR to translocation of GLUT4. The combined model provides a systems-level understanding of insulin signaling in rat adipocytes, which, when combined with corresponding models for human adipocytes, may contribute to model-based drug development for diabetes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 9 29%
Researcher 5 16%
Student > Master 3 10%
Student > Ph. D. Student 3 10%
Lecturer 2 6%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 42%
Mathematics 2 6%
Agricultural and Biological Sciences 2 6%
Engineering 2 6%
Medicine and Dentistry 2 6%
Other 3 10%
Unknown 7 23%
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 11 July 2017.
All research outputs
#15,742,933
of 25,382,440 outputs
Outputs from Journal of Biological Chemistry
#73,875
of 85,247 outputs
Outputs of similar age
#179,259
of 325,438 outputs
Outputs of similar age from Journal of Biological Chemistry
#207
of 392 outputs
Altmetric has tracked 25,382,440 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 85,247 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 12th percentile – i.e., 12% 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 325,438 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 392 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.