Validation requires multi-platform approaches:
Flow cytometry: Compare staining patterns in CML patient samples (e.g., CD34+ leukemic stem cells [LSCs]) versus healthy donor cells .
Western blotting: Verify target protein expression in lysates from CML cell lines (e.g., KYSE770) and primary cells .
Isotype controls: Use matched IgG controls to rule out non-specific binding (e.g., mouse IgG1 for monoclonal antibodies) .
Adjust blocking buffers: 5% non-fat milk with 0.5% Tween-20 and 0.5 M NaCl .
Secondary antibody controls: Omit primary antibody to identify background signals .
Optimize detergent concentrations during washes to reduce false positives .
CML44 may interact with immune checkpoint pathways:
PD-L1 overexpression: CML monocytes/basophils exhibit elevated PD-L1, inhibiting T-cell responses .
Metabolic reprogramming: Mitochondrial oxidative phosphorylation in CML LSCs enhances survival (e.g., OCR increases in CD34+ cells) .
ROS-mediated suppression: Neutrophils in CML upregulate ARG1 and S100A8, promoting immunosuppression .
Combination therapy: Tigecycline (mitochondrial inhibitor) + imatinib reduced LSCs by 95% in murine models .
Mechanistic synergy: Targeting CD44 disrupts LSC adhesion while TKIs inhibit BCR-ABL signaling .
Heterogeneity: Myeloid blast-phase (MBP) cells exhibit clonal evolution and metabolic plasticity .
Resistance markers: Upregulated CD274 (PD-L1) and G-MDSC genes reduce antibody-mediated cytotoxicity .
Endpoint selection: Use CHR (complete hematologic response) and MR4.5 (molecular response) .
Multi-omics integration: Combine proteomic signatures (e.g., haptoglobin levels) with miRNA networks (e.g., miR-142a) .
FFPE validation: Confirm staining in formalin-fixed CML tissues .
Cross-reactivity tests: Validate against CD44 isoforms (e.g., CD44v3-10) .