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Decoding communication patterns of the innate immune system by quantitative proteomics
Author(s) -
Sukumaran Arjun,
Coish Jeremia M.,
Yeung Jason,
Muselius Benjamin,
Gadjeva Mihaela,
MacNeil Adam J.,
GeddesMcAlister Jennifer
Publication year - 2019
Publication title -
journal of leukocyte biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.819
H-Index - 191
eISSN - 1938-3673
pISSN - 0741-5400
DOI - 10.1002/jlb.2ri0919-302r
Subject(s) - proteomics , innate immune system , biology , proteome , computational biology , immune system , systems biology , proteases , quantitative proteomics , mass cytometry , microbiology and biotechnology , bioinformatics , immunology , genetics , biochemistry , phenotype , gene , enzyme
The innate immune system is a collective network of cell types involved in cell recruitment and activation using a robust and refined communication system. Engagement of receptor‐mediated intracellular signaling initiates communication cascades by conveying information about the host cell status to surrounding cells for surveillance and protection. Comprehensive profiling of innate immune cells is challenging due to low cell numbers, high dynamic range of the cellular proteome, low abundance of secreted proteins, and the release of degradative enzymes (e.g., proteases). However, recent advances in mass spectrometry‐based proteomics provides the capability to overcome these limitations through profiling the dynamics of cellular processes, signaling cascades, post‐translational modifications, and interaction networks. Moreover, integration of technologies and molecular datasets provide a holistic view of a complex and intricate network of communications underscoring host defense and tissue homeostasis mechanisms. In this Review, we explore the diverse applications of mass spectrometry‐based proteomics in innate immunity to define communication patterns of the innate immune cells during health and disease. We also provide a technical overview of mass spectrometry‐based proteomic workflows, with a focus on bottom‐up approaches, and we present the emerging role of proteomics in immune‐based drug discovery while providing a perspective on new applications in the future.