Proteomics

Dataset Information

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Venomics analysis of Thai Daboia siamensis using integrated omics data


ABSTRACT: Snakebite, classified by World Health Organization (WHO) as a neglected tropical disease, causes more than 100,000 deaths and 400,000 injuries per year. Currently, available antivenoms do not bind with strong specificity to target toxins, which means that severe complications can still occur despite treatment. Moreover, the cost of antivenom is expensive. Knowledge of venom compositions is fundamental for producing a specific antivenom that has high effectiveness, low side effects, and ease of manufacture. With advances in mass spectrometry techniques, venom proteomes can now be analyzed in great depth at high efficiency. However, these techniques require genomic and transcriptomic data for interpreting mass spectrometry data. This study aims to establish and incorporate genomics, transcriptomics, and proteomics data to study venomics of Thai venomous snake, Daboia siamensis. More than a hundred proteins that have not been reported as venom components of this snake such as hyaluronidase-1 and Phospholipase B were discovered. The use of conventional reference databases for mass spectrometry analysis can detect only 46% of proteins identified by integrated omics data. Thus, this multi-omics data is necessary for venomics studies. These findings will be valuable not only for antivenom production but also for the development of novel therapeutics.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Arabidopsis Thaliana (mouse-ear Cress)

SUBMITTER: Poorichaya Somparn  

LAB HEAD: Poorichaya somparn

PROVIDER: PXD030613 | Pride | 2022-07-11

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
Gel_Venom10.mgf Mgf
Gel_Venom10.raw Raw
Gel_Venom11.mgf Mgf
Gel_Venom11.raw Raw
Gel_Venom12.mgf Mgf
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