Unknown

Dataset Information

0

Different Research Approaches in Unraveling the Venom Proteome of Naja ashei.


ABSTRACT: The dynamic development of venomics in recent years has resulted in a significant increase in publicly available proteomic data. The information contained therein is often used for comparisons between different datasets and to draw biological conclusions therefrom. In this article, we aimed to show the possible differences that can arise, in the final results of the proteomic experiment, while using different research workflows. We applied two software solutions (PeptideShaker and MaxQuant) to process data from shotgun LC-MS/MS analysis of Naja ashei venom and collate it with the previous report concerning this species. We were able to provide new information regarding the protein composition of this venom but also present the qualitative and quantitative limitations of currently used proteomic methods. Moreover, we reported a rapid and straightforward technique for the separation of the fraction of proteins from the three-finger toxin family. Our results underline the necessary caution in the interpretation of data based on a comparative analysis of data derived from different studies.

SUBMITTER: Hus KK 

PROVIDER: S-EPMC7566006 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

altmetric image

Publications

Different Research Approaches in Unraveling the Venom Proteome of <i>Naja ashei</i>.

Hus Konrad Kamil KK   Marczak Łukasz Ł   Petrilla Vladimír V   Petrillová Monika M   Legáth Jaroslav J   Bocian Aleksandra A  

Biomolecules 20200905 9


The dynamic development of venomics in recent years has resulted in a significant increase in publicly available proteomic data. The information contained therein is often used for comparisons between different datasets and to draw biological conclusions therefrom. In this article, we aimed to show the possible differences that can arise, in the final results of the proteomic experiment, while using different research workflows. We applied two software solutions (PeptideShaker and MaxQuant) to p  ...[more]

Similar Datasets

2020-09-07 | PXD020924 | Pride
| S-EPMC6017371 | biostudies-literature
| S-EPMC7024148 | biostudies-literature
| S-EPMC9065424 | biostudies-literature
| S-EPMC11316797 | biostudies-literature
2020-01-21 | PXD015814 | Pride
2024-08-12 | PXD033540 | Pride
| S-EPMC8410206 | biostudies-literature
| S-EPMC8070352 | biostudies-literature
| S-EPMC8402536 | biostudies-literature