Table 2.
Cell type | MPN subtypes | Findings |
---|---|---|
Whole blood121 | Healthy donors, ET, PV, MF | • Dysregulation of genes involved in inflammation • Detects signatures that might be missed by profiling isolated cell types |
Granulocytes122 | Healthy donors, ET, PV, MF | • JAK-STAT signature common across disease sub-types and driver mutations • TET2 mutation is associated with a distinct signature • Extent of clonal predominance may influence signatures |
Circulating stem and progenitor cells123 | JAK2V617F mutated PV | • Reveals heterogeneity, separates patients into distinct groups with different rates of disease complications • Rare cell type, may not be sufficiently abundant in all MPN subtypes |
Circulating stem and progenitor cells15 | MF, mobilised cells in healthy donors | • Heterogeneity of Mk progenitors in MF cell type, cost if performing single cell sequencing |
Platelets124 | ET, reactive thrombocytosis | • Transcript profiles distinguish ET from reactive thrombocytosis |
Platelets106 | Healthy donors, MF | • Distinguishes MF from controls, separates patients into groups with and without fibrosis |
Platelets12, 104 | Healthy donors, ET, PV, MF | • Two mutually validating MPN patient RNA-seq cohorts discriminate each clinical phenotype; and identify progressive transcriptomic markers that also enable predictive signatures for MF. |