ArticleBMC biotechnology2015
Quantitative whole-cell MALDI-TOF MS fingerprints distinguishes human monocyte sub-populations activated by distinct microbial ligands.
Article in BMC biotechnology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Immunoproteomics: The Evolution from Classical Methods to Emerging Techniques.Methods in molecular biology (Clifton, N.J.) · 2026Review
- Genome-scale prediction of gene ontology from mass fingerprints reveals new metabolic gene functions.Life science alliance · 2025Article
- Advances in high-throughput mass spectrometry in drug discovery.EMBO molecular medicine · 2023Review
- Intact-Cell MALDI-ToF Mass Spectrometry for the Authentication of Drug-Adapted Cancer Cell Lines.Cells · 2019Article
- Whole Cell MALDI Fingerprinting Is a Robust Tool for Differential Profiling of Two-Component Mammalian Cell Mixtures.Journal of the American Society for Mass Spectrometry · 2019Article
- MALDI-TOF MS monitoring of PBMC activation status in sepsis.BMC infectious diseases · 2018Article
- Rapid and robust MALDI-TOF MS techniques for microbial identification: a brief overview of their diverse applications.Journal of microbiology (Seoul, Korea) · 2018Review
- Monocyte Subsets: Phenotypes and Function in Tuberculosis Infection.Frontiers in immunology · 2018Review
- Characterization of promoter of the tuberculosis-resistant gene intracellular pathogen resistance 1.Immunologic research · 2016Article
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6 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundConventionally, human monocyte sub-populations are classified according to surface marker expression into classical (CD14(++)CD16(-)), intermediate (CD14(++)CD16(+)) and non-classical (CD14(+)CD16(++)) lineages. The involvement of non-classical monocytes, also referred to as proinflammatory monocytes, in the pathophysiology of diseases including diabetes mellitus, atherosclerosis or Alzheimer's disease is well recognized. The development of novel high-throughput methods to capture functional states within the different monocyte lineages at the whole cell proteomic level will enable real time monitoring of disease states.
resultsWe isolated and characterized (pan-) monocytes, mostly composed of classical CD16(-) monocytes, versus autologous CD16(+) subpopulations from the blood of healthy human donors (n = 8) and compared their inflammatory properties in response to lipopolysaccharides and M.tuberculosis antigens by multiplex cytokine profiling. Following resting and in vitro antigenic stimulation, cells were recovered and subjected to whole-cell mass spectrometry analysis. This approach identified the specific presence/absence of m/z peaks and therefore potential biomarkers that can discriminate pan-monocytes from their CD16 counterparts. Furthermore, we found that semi-quantitative data analysis could capture the subtle proteome changes occurring upon microbial stimulation that differentiate resting, from lipopolysaccharides or M. tuberculosis stimulated monocytic samples.
conclusionsWhole-cell mass spectrometry fingerprinting could efficiently distinguish monocytic sub-populations that arose from a same hematopoietic lineage. We also demonstrate for the first time that mass spectrometry signatures can monitor semi-quantitatively specific activation status in response to exogenous stimulation. As such, this approach stands as a fast and efficient method for the applied immunology field to assess the reactivity of potentially any immune cell types that may sustain health or promote related inflammatory diseases.
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