↓ Skip to main content

Cloning and characterization of a novel sigma-like glutathione S-transferase from the giant panda parasitic nematode, Baylisascaris schroederi

Overview of attention for article published in Parasites & Vectors, January 2015
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

Mentioned by

twitter
3 X users

Readers on

mendeley
29 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Cloning and characterization of a novel sigma-like glutathione S-transferase from the giant panda parasitic nematode, Baylisascaris schroederi
Published in
Parasites & Vectors, January 2015
DOI 10.1186/s13071-014-0629-9
Pubmed ID
Authors

Yue Xie, Xuan Zhou, Lin Chen, Zhihe Zhang, Chengdong Wang, Xiaobin Gu, Tao Wang, Xuerong Peng, Guangyou Yang

Abstract

Background Baylisascaris schroederi, an intestinal nematode of the giant panda, is the cause of the often fatal disease, baylisascariasis. Glutathione S-transferases (GSTs) are versatile enzymes that can affect parasite survival and parasite-host interactions and, are therefore, potential targets for the development of diagnostic tests and vaccines.MethodsIn this study, we identified a full-length cDNA that encoded a novel, secretory sigma-like GST (Bsc-GST¿) from a B. schroederi-omic dataset. Following cloning and sequencing, sequence and structural analyses and comparative modeling were performed using online-bioinformatics and proteomics tools. The recombinant Bsc-GST¿ (rBsc-GST¿) protein was prokaryotically expressed and then used to detect antigenicity and reactivity using immunoblotting assays. In addition, the native protein in female adult B. schroederi was located via immunofluorescence techniques, while the preliminary ELISA-based serodiagnostic potential of rBsc-GST¿ was assessed in native and infected mouse sera.Results Bsc-GST¿ contained a 621-bp open reading frame that encoded a polypeptide of 206 amino acids with two typical sigma GST domain profiles, including a GST_N_Sigma_like at the N-terminus and a GST_C_Sigma_like at the C-terminus. The presence of an N-terminal signal sequence indicated that Bsc-GST¿ was a secretory protein. Sequence alignment and phylogenetic analyses showed that Bsc-GST¿ was a nematode-specific member of the Sigma class GSTs and shared the closest genetic distance with its homologue in Ascaris suum. Further comparative structure analyses indicated that Bsc-GST¿ possessed the essential structural motifs (e.g., ß¿ß¿ßß¿) and the consensus secondary or tertiary structure that is typical for other characterized GST¿s. Immunolocalization revealed strong distributions of native Bsc-GST¿ in the body hypodermis, lateral chords, gut epithelium, gut microvilli, oviduct epithelium, and ovaries of adult female worms, similar to its homologue in A. suum. Building on good immunogenic properties, rBsc-GST¿-based ELISA exhibited a sensitivity of 79.1% and a specificity of 82.0% to detect anti-B. schroederi IgG antibodies in the sera of experimentally infected mice.ConclusionThis study presents a comprehensive demonstration of sequence and structural-based analysis of a new, secretory sigma-like GST from a nematode, and its good serodiagnostic performance suggests that rBsc-GST¿ has the potential to detect B. schroederi and, therefore, could be used to develop an ELISA-based serological test to diagnose baylisascariasis in giant pandas.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 3%
Unknown 28 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 17%
Student > Ph. D. Student 5 17%
Researcher 4 14%
Other 2 7%
Student > Postgraduate 2 7%
Other 4 14%
Unknown 7 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 24%
Biochemistry, Genetics and Molecular Biology 4 14%
Veterinary Science and Veterinary Medicine 4 14%
Environmental Science 2 7%
Business, Management and Accounting 1 3%
Other 3 10%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 24 January 2015.
All research outputs
#13,504,500
of 23,299,593 outputs
Outputs from Parasites & Vectors
#2,357
of 5,548 outputs
Outputs of similar age
#171,757
of 354,133 outputs
Outputs of similar age from Parasites & Vectors
#60
of 160 outputs
Altmetric has tracked 23,299,593 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 5,548 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has gotten more attention than average, scoring higher than 55% of its peers.
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 354,133 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.