Dataset Information

Venom proteomics of Indonesian king cobra

ABSTRACT: Complementary bottom-up MS/MS analyses contributed to complete a locus-resolved venom phenotype map for O. hannah, the world's longest venomous snake and a species of medical concern across its wide distribution range in forests from India through Southeast Asia. Its venom composition convincingly explains the main neurotoxic effects of human envenoming caused by king cobra bite. The integration of efficient chromatographic separation of the venom components, and locus-resolved toxin identification through top-down and bottom-up MS/MS-based species-specific database searching, promises a bright future to the field of venom research.

INSTRUMENT(S): LTQ Orbitrap XL

ORGANISM(S): Ophiophagus Hannah (king Cobra) (naja Hannah)

TISSUE(S): Venom

SUBMITTER: Daniel Petras

LAB HEAD: Roderich Süssmuth

PROVIDER: PXD001726 | Pride | 2015-08-20

REPOSITORIES: Pride

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Publications

Venom Proteomics of Indonesian King Cobra, Ophiophagus hannah: Integrating Top-Down and Bottom-Up Approaches.

Petras Daniel D Heiss Paul P Süssmuth Roderich D RD Calvete Juan J JJ

Journal of proteome research 20150427 6

We report on the first application of top-down mass spectrometry in snake venomics. De novo sequence tags generated by, and ProSight Lite supported analysis of, combined collisional based dissotiations (CID and HCD) recorded in a hybrid LTQ Orbitrap instrument in data-dependent mode identified a number of proteins from different toxin families, namely, 11 three-finger toxins (7-7.9 kDa), a Kunitz-type inhibitor (6.3 kDa), ohanin (11.9 kDa), a novel phospholipase A2 molecule (13.8 kDa), and the c ...[more]

PMID: 25896403

Similar Datasets

Project description:Background The generalist dipteran pupal parasitoid Nasonia vitripennis injects 79 venom peptides into the host before egg laying. This venom induces several important changes in the host, including developmental arrest, immunosuppression, and alterations to normal metabolism. It is hoped that diverse and potent bioactivities of N. vitripennis venom provide an opportunity for the design of novel acting drugs. However, currently very little is known about the individual functions of N. vitripennis venom peptides and less than half can be bioinformatically annotated. The paucity of annotation information complicates the design of studies that seek to better understand the potential mechanisms underlying the envenomation response. Although the RNA interference system of N. vitripennis provides an opportunity to functionally characterise venom encoding genes, with 79 candidates this represents a daunting task. For this reason we were interested in determining the expression levels of venom encoding genes in the venom gland, such that this information could be used to rank candidate venoms. To do this we carried out deep sequencing of the transcriptome of the venom gland and neighbouring ovary tissue and used RNA-seq to measure expression from the 79 venom encoding genes. The generation of a specific venom gland transcriptome dataset also provides further opportunities to investigate novel features of this highly specialised organ. Results High throughput sequencing and RNA-seq revealed that the highest expressed venom encoding gene in the venom gland was a serine protease called Nasvi2EG007167, which has previously been implicated in the apoptotic activity of N. vitripennis venom. As expected the RNA-seq confirmed that the N. vitripennis venom encoding genes are almost exclusively expressed in the venom gland relative to the neighbouring ovary tissue. Novel peptides appear to perform key roles in N. vitripennis venom function as only four of the highest 15 expressed venom encoding genes are bioinformatically annotationed. The high throughput sequencing data also provided evidence for the existence of an additional 471 novel genes in the Nasonia genome that are expressed in the venom gland and ovary. Finally, metagenomic analysis of venom gland transcripts identified viral transcripts that may play an important part in the N. vitripennis venom function. Conclusions The expression level information provided here for the 79 venom encoding genes provides an unbiased dataset that can be used by the N. vitripennis community to identify high value candidates for further functional characterisation. These candidates represent bioactive peptides that have value in drug development pipelines.

			Action	DRS
	KC2_PH_11.mgf	Mgf
	KC2_PH_11.pride.mgf.gz	Mgf
	KC2_PH_11.raw	Raw
	KC2_PH_12.mgf	Mgf
	KC2_PH_12.pride.mgf.gz	Mgf