title: Deciphering lymphoma pathogenesis via state-of-the-art mass spectrometry-based quantitative proteomics.
abstract: Mass spectrometry-based quantitative proteomics specifically applied to comprehend the pathogenesis of lymphoma has incremental value in deciphering the heterogeneity in complex deregulated molecular mechanisms/pathways of the lymphoma entities, implementing the current diagnostic and therapeutic strategies. Essential global, targeted and functional differential proteomics analyses although still evolving, have been successfully implemented to shed light on lymphoma pathogenesis to discover and explore the role of potential lymphoma biomarkers and drug targets. This review aims to outline and appraise the present status of MS-based quantitative proteomic approaches in lymphoma research, introducing the current state-of-the-art MS-based proteomic technologies, the opportunities they offer in biological discovery in human lymphomas and the related limitation issues arising from sample preparation to data evaluation. It is a synopsis containing information obtained from recent research articles, reviews and public proteomics repositories (PRIDE). We hope that this review article will aid, assimilate and assess all the information aiming to accelerate the development and validation of diagnostic, prognostic or therapeutic targets for an improved and empowered clinical proteomics application in lymphomas in the nearby future.
authors.affiliation: Institute of Molecular Biology and Biotechnology, FORTH, Heraklion, Greece; School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Department of Pathology, School of Medicine, University of Crete, Heraklion, Greece.
authors.forename: Konstantina
authors.initials: K
authors.lastname: Psatha
authors.affiliation: Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany.
authors.forename: Laxmikanth
authors.initials: L
authors.lastname: Kollipara
authors.affiliation: Institute of Molecular Biology and Biotechnology, FORTH, Heraklion, Greece.
authors.forename: Chrysanthi
authors.initials: C
authors.lastname: Voutyraki
authors.affiliation: Institute of Molecular Biology and Biotechnology, FORTH, Heraklion, Greece.
authors.forename: Peter
authors.initials: P
authors.lastname: Divanach
authors.affiliation: Leibniz-Institut für Analytische Wissenschaften - ISAS - e.V., Dortmund, Germany; Department of Chemistry, College of Physical Sciences, University of Aberdeen, Aberdeen, Scotland, United Kingdom; Medizinische Fakultät, Medizinische Proteom-Center (MPC), Ruhr-Universität Bochum, Bochum, Germany.
authors.forename: Albert
authors.initials: A
authors.lastname: Sickmann
authors.affiliation: School of Medicine, National and Kapodistrian University of Athens, Athens, Greece; Department of Pathology and Cytology, Karolinska University Hospital and Karolinska Institute, Radiumhemmet, Stockholm, SE-17176, Sweden.
authors.forename: George Z
authors.initials: GZ
authors.lastname: Rassidakis
authors.affiliation: Department of Pathology, School of Medicine, University of Crete, Heraklion, Greece.
authors.forename: Elias
authors.initials: E
authors.lastname: Drakos
authors.affiliation: Institute of Molecular Biology and Biotechnology, FORTH, Heraklion, Greece. Electronic address: aivaliot@imbb.forth.gr.
authors.forename: Michalis
authors.initials: M
authors.lastname: Aivaliotis
mesh_terms: D000818:Animals; D014408:Biomarkers, Tumor / Q000032:analysis / Q000378:metabolism; D006801:Humans; D008223:Lymphoma / Q000378:metabolism / Q000473:pathology*; D013058:Mass Spectrometry / Q000295:instrumentation / Q000379:methods*; D025941:Protein Interaction Mapping / Q000295:instrumentation / Q000379:methods; D011499:Protein Processing, Post-Translational; D011506:Proteins / Q000032:analysis / Q000378:metabolism*; D040901:Proteomics / Q000295:instrumentation / Q000379:methods*
chemical_list: D014408:Biomarkers, Tumor; D011506:Proteins
keywords: Interactomics; Lymphoma; Mass spectrometry; Protein modifications; Quantitative proteomics; Targeted proteomics