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Simulation of the Dynamics of Primary Immunodeficiencies in B Cells

Overview of attention for article published in Frontiers in immunology, August 2018
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Title
Simulation of the Dynamics of Primary Immunodeficiencies in B Cells
Published in
Frontiers in immunology, August 2018
DOI 10.3389/fimmu.2018.01785
Pubmed ID
Authors

Gabriel Ndipagbornchi Teku, Mauno Vihinen

Abstract

Primary immunodeficiencies (PIDs) are a group of over 300 hereditary, heterogeneous, and mainly rare disorders that affect the immune system. Various aspects of immune system and PID proteins and genes have been investigated and facilitate systems biological studies of effects of PIDs on B cell physiology and response. We reconstructed a B cell network model based on data for the core B cell receptor activation and response processes and performed semi-quantitative dynamic simulations for normal and B cell PID failure modes. The results for several knockout simulations correspond to previously reported molecular studies and reveal novel mechanisms for PIDs. The simulations for CD21, CD40, LYN, MS4A1, ORAI1, PLCG2, PTPRC, and STIM1 indicated profound changes to major transcription factor signaling and to the network. Significant effects were observed also in the BCL10, BLNK, BTK, loss-of-function CARD11, IKKB, MALT1, and NEMO, simulations whereas only minor effects were detected for PIDs that are caused by constitutively active proteins (PI3K, gain-of-function CARD11, KRAS, and NFKBIA). This study revealed the underlying dynamics of PID diseases, confirms previous observations, and identifies novel candidates for PID diagnostics and therapy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 18%
Student > Bachelor 3 18%
Student > Ph. D. Student 2 12%
Researcher 2 12%
Professor 1 6%
Other 2 12%
Unknown 4 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 29%
Agricultural and Biological Sciences 3 18%
Immunology and Microbiology 3 18%
Medicine and Dentistry 3 18%
Unknown 3 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 30 July 2018.
All research outputs
#20,853,629
of 25,621,213 outputs
Outputs from Frontiers in immunology
#25,116
of 32,050 outputs
Outputs of similar age
#266,201
of 342,658 outputs
Outputs of similar age from Frontiers in immunology
#527
of 639 outputs
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We're also able to compare this research output to 639 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.