Literature DB >> 18286662

Probing peptide libraries from Conus achatinus using mass spectrometry and cDNA sequencing: identification of delta and omega-conotoxins.

Konkallu Hanumae Gowd1, Kalyan Kumar Dewan, Prathima Iengar, Kozhalmannom S Krishnan, Padmanabhan Balaram.   

Abstract

The peptide library present in the venom of the piscivorous marine snail Conus achatinus has been probed using a combination of mass spectrometry and cDNA sequencing methods. Matrix assisted laser desorption ionization mass spectrometry (MALDI-MS) analysis, before and following global reduction/alkylation of peptide mixtures, permits the rapid classification of individual components on the basis of the number of disulfide bonds. Mass fingerprinting and the reverse phase HPLC retention times permit a further deconvolution of the library in terms of peptide size and hydrophobicity. Sequencing of cDNA derived using O-superfamily specific primers yielded five complete conotoxin precursor sequences, ranging in polypeptide length from 75-87 residues containing six Cys residues at the C-terminus. Sequence analysis permits classification of the five putative mature peptides (Ac 6.1 to Ac 6.5) as delta, omega, and omega-like conotoxins. The presence of these predicted peptides in crude venom was established by direct matrix assisted laser desorption ionization tandem mass spectrometry (MALDI-MS/MS) sequencing following trypsin digestion of the peptide mixture after global reduction/alkylation. The determination of partial peptide sequences and comparison with the predicted sequences resulted in the identification of four of the five predicted conotoxins. The characterization of posttranslationally modified analogs, which are hydroxylated at proline or amidated at the C-terminus is also demonstrated. Crude venom analysis should prove powerful in studying both inter- and intra-species variation in peptide libraries.

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Year:  2008        PMID: 18286662     DOI: 10.1002/jms.1377

Source DB:  PubMed          Journal:  J Mass Spectrom        ISSN: 1076-5174            Impact factor:   1.982


  8 in total

1.  Disulfide-Depleted Selenoconopeptides: a Minimalist Strategy to Oxidative Folding of Cysteine-Rich Peptides.

Authors:  Tiffany S Han; Min-Min Zhang; Konkallu Hanumae Gowd; Aleksandra Walewska; Doju Yoshikami; Baldomero M Olivera; Grzegorz Bulaj
Journal:  ACS Med Chem Lett       Date:  2010-05-03       Impact factor: 4.345

2.  The UniProtKB/Swiss-Prot Tox-Prot program: A central hub of integrated venom protein data.

Authors:  Florence Jungo; Lydie Bougueleret; Ioannis Xenarios; Sylvain Poux
Journal:  Toxicon       Date:  2012-03-23       Impact factor: 3.033

Review 3.  Integrating the discovery pipeline for novel compounds targeting ion channels.

Authors:  Grzegorz Bulaj
Journal:  Curr Opin Chem Biol       Date:  2008-08-03       Impact factor: 8.822

4.  Rapid sensitive analysis of cysteine rich peptide venom components.

Authors:  Beatrix M Ueberheide; David Fenyö; Paul F Alewood; Brian T Chait
Journal:  Proc Natl Acad Sci U S A       Date:  2009-04-20       Impact factor: 11.205

5.  Identifying the Types of Ion Channel-Targeted Conotoxins by Incorporating New Properties of Residues into Pseudo Amino Acid Composition.

Authors:  Yun Wu; Yufei Zheng; Hua Tang
Journal:  Biomed Res Int       Date:  2016-08-18       Impact factor: 3.411

Review 6.  Discovery, synthesis, and structure-activity relationships of conotoxins.

Authors:  Kalyana B Akondi; Markus Muttenthaler; Sébastien Dutertre; Quentin Kaas; David J Craik; Richard J Lewis; Paul F Alewood
Journal:  Chem Rev       Date:  2014-04-10       Impact factor: 60.622

7.  iCTX-type: a sequence-based predictor for identifying the types of conotoxins in targeting ion channels.

Authors:  Hui Ding; En-Ze Deng; Lu-Feng Yuan; Li Liu; Hao Lin; Wei Chen; Kuo-Chen Chou
Journal:  Biomed Res Int       Date:  2014-06-01       Impact factor: 3.411

Review 8.  Recent Advances in Conotoxin Classification by Using Machine Learning Methods.

Authors:  Fu-Ying Dao; Hui Yang; Zhen-Dong Su; Wuritu Yang; Yun Wu; Ding Hui; Wei Chen; Hua Tang; Hao Lin
Journal:  Molecules       Date:  2017-06-25       Impact factor: 4.411

  8 in total

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