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Hypothetical granulin-like molecule from Fasciola hepatica identified by bioinformatics analysis

Overview of attention for article published in SpringerPlus, June 2016
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Title
Hypothetical granulin-like molecule from Fasciola hepatica identified by bioinformatics analysis
Published in
SpringerPlus, June 2016
DOI 10.1186/s40064-016-2443-7
Pubmed ID
Authors

Claudia Machicado, Luis A. Marcos, Mirko Zimic

Abstract

Fasciola hepatica is considered an emergent human pathogen, causing liver fibrosis or cirrhosis, conditions that are known to be direct causes of cancer. Some parasites have been categorized by WHO as carcinogenic agents such as Opisthorchis viverrini, a relative of F. hepatica. Although these two parasites are from the same class (Trematoda), the role of F. hepatica in carcinogenesis is unclear. We hypothesized that F. hepatica might share some features with O. viverrini and to be responsible to induce proliferation of host cells. We analyzed the recently released genome of F. hepatica looking for a gene coding a granulin-like growth factor, a protein secreted by O. viverrini (Ov-GRN-1), which is a potent stimulator of proliferation of host cells. Using computational biology tools, we identified a granulin-like molecule in F. hepatica, here termed FhGLM, which has high sequence identity level to Ov-GRN-1 and human progranulin. We found evidence of an upstream promoter compatible with the expression of FhGLM. The FhGLM architecture showed to have five granulin domains, one of them, the domain 3, was homologue to Ov-GRN-1 and human GRNC. The structure of the FhGLM granulin domain 3 resulted to have the overall folding of its homologue the human GRNC. Our findings show the presence of a homologue of a potent modulator of cell growth in F. hepatica that might have, as other granulins, a proliferative action on host cells during fascioliasis. Future experimental assays to demonstrate the presence of FhGLM in F. hepatica are needed to confirm our hypothesis.

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Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 3 13%
Other 2 8%
Student > Doctoral Student 2 8%
Professor 2 8%
Student > Master 2 8%
Other 5 21%
Unknown 8 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 21%
Veterinary Science and Veterinary Medicine 3 13%
Arts and Humanities 2 8%
Neuroscience 2 8%
Immunology and Microbiology 1 4%
Other 3 13%
Unknown 8 33%
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 08 July 2016.
All research outputs
#20,335,423
of 22,880,230 outputs
Outputs from SpringerPlus
#1,461
of 1,851 outputs
Outputs of similar age
#305,142
of 352,654 outputs
Outputs of similar age from SpringerPlus
#179
of 213 outputs
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