Thursday 15 February 2018


An article published this year inProteomesusing some of our products, FITC Mouse Anti-Human CD14, APC Mouse Anti-Human CD19 and OC-515 Mouse Anti-Human CD45”, by some of our customers present some Proteomics Units from Universities of Navarra, Valencia, Madrid, Basque Country and Salamanca, in the analysis of In-Depth Proteomic Characterization of Classical and Non-Classical Monocyte Subsets Antitumor Efficacy of Human Monocyte-Derived Dendritic Cells: Comparing Effects of two Monocyte Isolation Methods. Congrats and Thanks.

Summay:
Monocytes are bone marrow-derived leukocytes that are part of the innate immune system. Monocytes are divided into three subsets: classical, intermediate and non-classical, which can be differentiated by their expression of some surface antigens, mainly CD14 and CD16.
These cells are key players in the inflammation process underlying the mechanism of many diseases. Thus, the molecular characterization of these cells may provide very useful information for understanding their biology in health and disease. We performed a multicentric proteomic study with pure classical and non-classical populations derived from 12 healthy donors. The robust workflow used provided reproducible results among the five participating laboratories. Over 5000 proteins were identified, and about half of them were quantified using a spectral counting approach.
The results represent the protein abundance catalogue of pure classical and enriched non-classical blood peripheral monocytes, and could serve as a reference dataset of the healthy population. The functional analysis of the differences between cell subsets supports the consensus roles assigned to human monocytes.




Protein abundance correlation between purified monocyte populations and public datasets obtained from PaxDB. Protein abundances determined in the present work (y-axis) are plotted against public datasets (x-axis). CD14 (classical) and CD16 (non-classical), are shown in left and right panels, respectively. Complete monocyte population and liver datasets are shown in the top panels and bottom panels, respectively.



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