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In‐depth proteomic analysis of Plasmodium berghei sporozoites using trapped ion mobility spectrometry with parallel accumulation‐serial fragmentation
Author(s) -
Hamada Soumia,
Pionneau Cédric,
Parizot Christophe,
Silvie Olivier,
Chardonnet Solenne,
Marinach Carine
Publication year - 2021
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.202000305
Subject(s) - plasmodium berghei , proteome , biology , malaria , parasite hosting , plasmodium (life cycle) , plasmodium vivax , virology , plasmodium falciparum , proteomics , plasmodium yoelii , computational biology , immunology , bioinformatics , parasitemia , genetics , gene , world wide web , computer science
Sporozoites of the malaria parasite Plasmodium are transmitted by mosquitoes and infect the liver for an initial and obligatory round of replication, before exponential multiplication in the blood and onset of the disease. Sporozoites and liver stages provide attractive targets for malaria vaccines and prophylactic drugs. In this context, defining the parasite proteome is important to explore the parasite biology and to identify potential targets for antimalarial strategies. Previous studies have determined the total proteome of sporozoites from the two main human malaria parasites, P. falciparum and P. vivax , as well as P. yoelii , which infects rodents. Another murine malaria parasite, P. berghei , is widely used to investigate the parasite biology. However, a deep view of the proteome of P. berghei sporozoites is still missing. To fill this gap, we took advantage of the highly sensitive timsTOF PRO mass spectrometer, combined with three alternative methods for sporozoite purification, to identify the proteome of P. berghei sporozoites using low numbers of parasites. This study provides a reference proteome for P. berghei sporozoites, identifying a core set of proteins expressed across species, and illustrates how the unprecedented sensitivity of the timsTOF PRO system enables deep proteomic analysis from limited sample amounts.

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