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Updated: Apr 9, 2026

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions
Published on: October 20, 2020
Integrative proteomics to illuminate host-parasite interactions in malaria
Noha Attallah1, Harsh Srivastava2, Jane M Carlton2
1Program in Biology, Division of Science and Mathematics, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates; Department of Biology, New York University, New York, NY, USA.
Proteomics offers a powerful approach to understanding malaria by analyzing protein functions, complementing genomic data. This method reveals crucial host-parasite interactions and mechanisms driving disease severity and treatment responses.
Area of Science:
- Malaria research
- Systems biology
- Proteomics
Background:
- Genomic studies provide indirect insights into malaria's functional processes.
- Understanding infection progression and clinical outcomes requires deeper functional analysis.
Purpose of the Study:
- To advocate for proteomics as a core component of malaria systems biology.
- To highlight how proteomics can elucidate mechanisms of malaria pathogenesis and treatment variability.
Main Methods:
- Quantifying protein abundance, post-translational modifications, and interaction networks in host and parasite.
- Utilizing high-throughput, high-resolution, single-cell, and spatial proteomics.
- Employing artificial intelligence-driven pipelines for system-wide profiling.
Main Results:
- Proteomics can identify mechanisms of cytoadhesion, endothelial dysfunction, and immune modulation.
- It offers insights into tissue-specific pathology and variable therapeutic responses.
- Proteomics provides a functional layer of understanding beyond genomic data.
Conclusions:
- Proteomics is essential for a comprehensive understanding of malaria systems biology.
- Advanced proteomic technologies enable detailed dissection of host-parasite crosstalk.
- Integrating proteomics will accelerate discovery and improve malaria control strategies.
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