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Malar J. 2020 Jan 7;19(1):10. doi: 10.1186/s12936-019-3093-3.

Identification of Plasmodium falciparum proteoforms from liver stage models.

Author information

1
Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ, 08544, USA.
2
Naval Medical Research Center, 503 Robert Grant Avenue, Silver Spring, MD, 20910, USA.
3
The Henry M Jackson Foundation, 6720A Rockledge Dr., Rockville, MD, 20817, USA.
4
Department of Molecular Biology and Immunology, Molecular Infection Immunology, Bernhard Nocht Institute for Tropical Medicine, Bernhard-Nocht-Straße 74, 20359, Hamburg, Germany.
5
Walter Reed Army Institute of Research, 503 Robert Grant Avenue, Silver Spring, MD, 20190, USA.
6
Northwestern University National Resource for Translational Proteomics, Evanston, IL, 60208, USA.
7
Department of Molecular Biology, Princeton University, Washington Road, Princeton, NJ, 08544, USA. aploss@princeton.edu.
8
Naval Medical Research Center, 503 Robert Grant Avenue, Silver Spring, MD, 20910, USA. robert.gerbasi@northwestern.edu.
9
Northwestern University National Resource for Translational Proteomics, Evanston, IL, 60208, USA. robert.gerbasi@northwestern.edu.

Abstract

BACKGROUND:

Immunization with attenuated malaria sporozoites protects humans from experimental malaria challenge by mosquito bite. Protection in humans is strongly correlated with the production of T cells targeting a heterogeneous population of pre-erythrocyte antigen proteoforms, including liver stage antigens. Currently, few T cell epitopes derived from Plasmodium falciparum, the major aetiologic agent of malaria in humans are known.

METHODS:

In this study both in vitro and in vivo malaria liver stage models were used to sequence host and pathogen proteoforms. Proteoforms from these diverse models were subjected to mild acid elution (of soluble forms), multi-dimensional fractionation, tandem mass spectrometry, and top-down bioinformatics analysis to identify proteoforms in their intact state.

RESULTS:

These results identify a group of host and malaria liver stage proteoforms that meet a 5% false discovery rate threshold.

CONCLUSIONS:

This work provides proof-of-concept for the validity of this mass spectrometry/bioinformatic approach for future studies seeking to reveal malaria liver stage antigens towards vaccine development.

KEYWORDS:

Antigen; Cell-mediated immunity; Liver stage; Proteomics; Top-down; Vaccine

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