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ON/OFF and Beyond - A Boolean Model of Apoptosis

Overview of attention for article published in PLoS Computational Biology, December 2009
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Title
ON/OFF and Beyond - A Boolean Model of Apoptosis
Published in
PLoS Computational Biology, December 2009
DOI 10.1371/journal.pcbi.1000595
Pubmed ID
Authors

Rebekka Schlatter, Kathrin Schmich, Ima Avalos Vizcarra, Peter Scheurich, Thomas Sauter, Christoph Borner, Michael Ederer, Irmgard Merfort, Oliver Sawodny

Abstract

Apoptosis is regulated by several signaling pathways which are extensively linked by crosstalks. Boolean or logical modeling has become a promising approach to capture the qualitative behavior of such complex networks. Here we built a large-scale literature-based Boolean model of the central intrinsic and extrinsic apoptosis pathways as well as pathways connected with them. The model responds to several external stimuli such as Fas ligand, TNF-alpha, UV-B irradiation, interleukin-1beta and insulin. Timescales and multi-value node logic were used and turned out to be indispensable to reproduce the behavior of the apoptotic network. The coherence of the model was experimentally validated. Thereby an UV-B dose-effect is shown for the first time in mouse hepatocytes. Analysis of the model revealed a tight regulation emerging from high connectivity and spanning crosstalks and a particular importance of feedback loops. An unexpected feedback from Smac release to RIP could further increase complex II formation. The introduced Boolean model provides a comprehensive and coherent description of the apoptosis network behavior. It gives new insights into the complex interplay of pro- and antiapoptotic factors and can be easily expanded to other signaling pathways.

X Demographics

X Demographics

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 4%
United States 6 3%
France 2 1%
United Kingdom 2 1%
Portugal 1 <1%
Norway 1 <1%
Sweden 1 <1%
Romania 1 <1%
Luxembourg 1 <1%
Other 0 0%
Unknown 157 87%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 51 28%
Researcher 43 24%
Student > Master 25 14%
Professor > Associate Professor 11 6%
Student > Bachelor 10 6%
Other 29 16%
Unknown 11 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 85 47%
Computer Science 21 12%
Biochemistry, Genetics and Molecular Biology 18 10%
Engineering 12 7%
Medicine and Dentistry 7 4%
Other 20 11%
Unknown 17 9%
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 07 December 2014.
All research outputs
#20,674,485
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#8,211
of 8,964 outputs
Outputs of similar age
#162,652
of 176,075 outputs
Outputs of similar age from PLoS Computational Biology
#49
of 55 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 4th percentile – i.e., 4% 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 176,075 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 55 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.