Proteomic identification of proliferation and progression markers in human polycythemia vera stem and progenitor cells.
Ge TanWitold E WolskiSandra KummerMara HofstetterAlexandre P A TheocharidesMarkus G ManzRuedi AebersoldFabienne Meier-AbtPublished in: Blood advances (2022)
Polycythemia vera (PV) is a stem cell disorder characterized by hyperproliferation of the myeloid lineages and the presence of an activating JAK2 mutation. To elucidate mechanisms controlling PV stem and progenitor cell biology, we applied a recently developed highly sensitive data-independent acquisition mass spectrometry workflow to purified hematopoietic stem and progenitor cell (HSPC) subpopulations of patients with chronic and progressed PV. We integrated proteomic data with genomic, transcriptomic, flow cytometry, and in vitro colony formation data. Comparative analyses revealed added information gained by proteomic compared with transcriptomic data in 30% of proteins with changed expression in PV patients. Upregulated biological pathways in hematopoietic stem and multipotent progenitor cells (HSC/MPPs) of PV included mammalian target of rapamycin (MTOR), STAT, and interferon signaling. We further identified a prominent reduction of clusterin (CLU) protein expression and a corresponding activation of nuclear factor-κB (NF-κB) signaling in HSC/MPPs of untreated PV patients compared with controls. Reversing the reduction of CLU and inhibiting NF-κB signaling decreased proliferation and differentiation of PV HSC/MPPs in vitro. Upon progression of PV, we identified upregulation of LGALS9 and SOCS2 protein expression in HSC/MPPs. Treatment of patients with hydroxyurea normalized the expression of CLU and NF-κB2 but not of LGALS9 and SOCS2. These findings expand the current understanding of the molecular pathophysiology underlying PV and provide new potential targets (CLU and NF-κB) for antiproliferative therapy in patients with PV.
Keyphrases
- signaling pathway
- nuclear factor
- electronic health record
- end stage renal disease
- poor prognosis
- stem cells
- ejection fraction
- pi k akt
- lps induced
- mass spectrometry
- newly diagnosed
- chronic kidney disease
- big data
- toll like receptor
- oxidative stress
- flow cytometry
- dendritic cells
- healthcare
- single cell
- endothelial cells
- prognostic factors
- immune response
- peritoneal dialysis
- high resolution
- machine learning
- binding protein
- mesenchymal stem cells
- social media
- patient reported
- combination therapy
- molecularly imprinted