Title |
It is time for top-down venomics
|
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Published in |
Journal of Venomous Animals and Toxins including Tropical Diseases, October 2017
|
DOI | 10.1186/s40409-017-0135-6 |
Pubmed ID | |
Authors |
Rafael D. Melani, Fabio C. S. Nogueira, Gilberto B. Domont |
Abstract |
The protein composition of animal venoms is usually determined by peptide-centric proteomics approaches (bottom-up proteomics). However, this technique cannot, in most cases, distinguish among toxin proteoforms, herein called toxiforms, because of the protein inference problem. Top-down proteomics (TDP) analyzes intact proteins without digestion and provides high quality data to identify and characterize toxiforms. Denaturing top-down proteomics is the most disseminated subarea of TDP, which performs qualitative and quantitative analyzes of proteoforms up to ~30 kDa in high-throughput and automated fashion. On the other hand, native top-down proteomics provides access to information on large proteins (> 50 kDA) and protein interactions preserving non-covalent bonds and physiological complex stoichiometry. The use of native and denaturing top-down venomics introduced novel and useful techniques to toxinology, allowing an unprecedented characterization of venom proteins and protein complexes at the toxiform level. The collected data contribute to a deep understanding of venom natural history, open new possibilities to study the toxin evolution, and help in the development of better biotherapeutics. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 68 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 16% |
Student > Ph. D. Student | 10 | 15% |
Student > Bachelor | 10 | 15% |
Researcher | 7 | 10% |
Student > Doctoral Student | 3 | 4% |
Other | 12 | 18% |
Unknown | 15 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 20 | 29% |
Agricultural and Biological Sciences | 12 | 18% |
Chemistry | 8 | 12% |
Engineering | 3 | 4% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
Other | 7 | 10% |
Unknown | 16 | 24% |