Identifying Excretory-Secretory Proteins in Parasitic Nematodes
Author Information
Author(s): Nagaraj Shivashankar H., Gasser Robin B., Ranganathan Shoba
Primary Institution: Macquarie University
Hypothesis
Can we identify and analyze excretory-secretory proteins from parasitic nematodes using expressed sequence tags?
Conclusion
The study successfully identified 4,710 excretory-secretory proteins from 39 species of parasitic nematodes, providing a foundation for future drug and vaccine development.
Supporting Evidence
- 4,710 excretory-secretory proteins were predicted from 452,134 expressed sequence tags.
- 52.8% of the identified proteins had homologues in Caenorhabditis elegans.
- 267 homologues were associated with strong loss-of-function phenotypes in C. elegans.
Takeaway
Scientists found a lot of important proteins from worms that can help us make new medicines or vaccines to fight diseases caused by these worms.
Methodology
The study used a computational workflow called EST2Secretome to analyze expressed sequence tags from parasitic nematodes.
Limitations
Some sequences were of low quality and could not be assigned any function.
Digital Object Identifier (DOI)
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