Drug Delivery Disposition and Dynamics, Monash Institute of Pharmaceutical Sciences, Monash University, Parkville, VIC 3052, Australia.
Department of Physiology, Anatomy and Microbiology, La Trobe University, Bundoora, VIC 3086, Australia.
Gigascience. 2022 Mar 7;11. doi: 10.1093/gigascience/giac008.
Plasmodium falciparum causes the majority of malaria mortality worldwide, and the disease occurs during the asexual red blood cell (RBC) stage of infection. In the absence of an effective and available vaccine, and with increasing drug resistance, asexual RBC stage parasites are an important research focus. In recent years, mass spectrometry-based proteomics using data-dependent acquisition has been extensively used to understand the biochemical processes within the parasite. However, data-dependent acquisition is problematic for the detection of low-abundance proteins and proteome coverage and has poor run-to-run reproducibility.
Here, we present a comprehensive P. falciparum-infected RBC (iRBC) spectral library to measure the abundance of 44,449 peptides from 3,113 P. falciparum and 1,617 RBC proteins using a data-independent acquisition mass spectrometric approach. The spectral library includes proteins expressed in the 3 morphologically distinct RBC stages (ring, trophozoite, schizont), the RBC compartment of trophozoite-iRBCs, and the cytosolic fraction from uninfected RBCs. This spectral library contains 87% of all P. falciparum proteins that have previously been reported with protein-level evidence in blood stages, as well as 692 previously unidentified proteins. The P. falciparum spectral library was successfully applied to generate semi-quantitative proteomics datasets that characterize the 3 distinct asexual parasite stages in RBCs, and compared artemisinin-resistant (Cam3.IIR539T) and artemisinin-sensitive (Cam3.IIrev) parasites.
A reproducible, high-coverage proteomics spectral library and analysis method has been generated for investigating sets of proteins expressed in the iRBC stage of P. falciparum malaria. This will provide a foundation for an improved understanding of parasite biology, pathogenesis, drug mechanisms, and vaccine candidate discovery for malaria.
恶性疟原虫导致了全球大部分的疟疾死亡,这种疾病发生在感染的无性红细胞(RBC)阶段。在没有有效和可用的疫苗的情况下,随着药物耐药性的增加,无性 RBC 阶段寄生虫是一个重要的研究焦点。近年来,基于质谱的蛋白质组学使用数据依赖性采集已被广泛用于了解寄生虫内的生化过程。然而,数据依赖性采集对于检测低丰度蛋白质和蛋白质组覆盖率存在问题,并且运行间重现性差。
在这里,我们展示了一个全面的恶性疟原虫感染 RBC(iRBC)光谱库,用于使用数据非依赖性采集质谱方法测量 3113 个恶性疟原虫和 1617 个 RBC 蛋白中的 44449 个肽的丰度。该光谱库包括在 3 个形态上不同的 RBC 阶段(环、滋养体、裂殖体)、滋养体-iRBC 的 RBC 区室以及未感染 RBC 的细胞质部分表达的蛋白质。该光谱库包含了以前在血液阶段用蛋白质水平证据报道的恶性疟原虫所有蛋白质的 87%,以及 692 个以前未识别的蛋白质。恶性疟原虫光谱库成功地应用于生成半定量蛋白质组学数据集,这些数据集可描绘 RBC 中 3 个不同的无性寄生虫阶段,并比较了青蒿素耐药(Cam3.IIR539T)和青蒿素敏感(Cam3.IIrev)寄生虫。
已经为恶性疟原虫疟疾的 iRBC 阶段表达的蛋白质组生成了一种可重复、高覆盖率的蛋白质组学光谱库和分析方法。这将为改善对寄生虫生物学、发病机制、药物机制和疟疾疫苗候选物的理解提供基础。