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Systemic Approach to Virulence Gene Network Analysis for Gaining New Insight into Cryptococcal Virulence

Overview of attention for article published in Frontiers in Microbiology, October 2016
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Title
Systemic Approach to Virulence Gene Network Analysis for Gaining New Insight into Cryptococcal Virulence
Published in
Frontiers in Microbiology, October 2016
DOI 10.3389/fmicb.2016.01652
Pubmed ID
Authors

Antoni N. Malachowski, Mohamed Yosri, Goun Park, Yong-Sun Bahn, Yongqun He, Michal A. Olszewski

Abstract

Cryptococcus neoformans is pathogenic yeast, responsible for highly lethal infections in compromised patients around the globe. C. neoformans typically initiates infections in mammalian lung tissue and subsequently disseminates to the central nervous system where it causes significant pathologies. Virulence genes of C. neoformans are being characterized at an increasing rate, however, we are far from a comprehensive understanding of their roles and genetic interactions. Some of these reported virulence genes are scattered throughout different databases, while others are not yet included. This study gathered and analyzed 150 reported virulence associated factors (VAFs) of C. neoformans. Using the web resource STRING database, our study identified different interactions between the total VAFs and those involved specifically in lung and brain infections and identified a new strain specific virulence gene, SHO1, involved in the mitogen-activated protein kinase signaling pathway. As predicted by our analysis, SHO1 expression enhanced C. neoformans virulence in a mouse model of pulmonary infection, contributing to enhanced non-protective immune Th2 bias and progressively enhancing fungal growth in the infected lungs. Sequence analysis indicated 77.4% (116) of total studied VAFs are soluble proteins, and 22.7% (34) are transmembrane proteins. Motifs involved in regulation and signaling such as protein kinases and transcription factors are highly enriched in Cryptococcus VAFs. Altogether, this study represents a pioneering effort in analysis of the virulence composite network of C. neoformans using a systems biology approach.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 38%
Student > Ph. D. Student 4 14%
Student > Bachelor 3 10%
Student > Master 3 10%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 5 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 21%
Agricultural and Biological Sciences 5 17%
Immunology and Microbiology 4 14%
Medicine and Dentistry 2 7%
Engineering 2 7%
Other 4 14%
Unknown 6 21%
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 27 October 2016.
All research outputs
#20,349,664
of 22,896,955 outputs
Outputs from Frontiers in Microbiology
#22,542
of 24,948 outputs
Outputs of similar age
#271,446
of 314,207 outputs
Outputs of similar age from Frontiers in Microbiology
#335
of 421 outputs
Altmetric has tracked 22,896,955 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,948 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. 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 421 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.