Figure 1.
Overexpressed MELK correlates with EZH2 expression in NKTL. (A) Gene expression profiling data showing MELK expression in NKTL cell lines and patient samples of NKTL (extranodal) and EBV+ peripheral T-cell lymphoma (nodal) cases. (B) Expression of MELK and EZH2 in normal NK and a panel of NKTL cell lines. Densitometry analysis was used to quantify average changes in 3 individual experiments. (C) IP showing MELK-EZH2 interaction. (D-E) EZH2 protein level change with MELK inhibitor OTSSP167 treatment of 48 hours in NKYS (D, densitometry analysis was used to quantify average changes in 3 individual experiments) and (E) NK-S1. (F-G) EZH2 protein level change with MELK knock-down using siRNA in (F) NKYS and (G) NK-S1. Cells were harvested for immunoblots 48 hours after knock-down. (H) Linear correlation was obtained by comparing percentage of EZH2 positive staining (EZH2+) to average percentage of cytoplasmic and nuclear MELK positive staining (MELK+) in NKTL cells (CD3+) for each core from NKTL patient tissues. N = 83 cores from 52 NKTL patients were stained (R = 0.4549, P < .0001). (I) Representative images indicating expression of EZH2 and MELK in NKTL tissue microarray sample (left) with corresponding segmented image masks (right). CD3 marks tumor cells. A total of 80.8% of CD3+ cells in sample 1 are positive for nuclear expression of EZH2, whereas 38.27% CD3+ cells in sample 2 are positive for EZH2. Seventy-three percent of CD3+ cells in sample 1 are positive for MELK and only 36.42% CD3+ cells are positive for MELK in sample 2. All immunoblots were performed in at least 3 individual experiments; representative images are shown. Ig, immunoglobulin

Overexpressed MELK correlates with EZH2 expression in NKTL. (A) Gene expression profiling data showing MELK expression in NKTL cell lines and patient samples of NKTL (extranodal) and EBV+ peripheral T-cell lymphoma (nodal) cases. (B) Expression of MELK and EZH2 in normal NK and a panel of NKTL cell lines. Densitometry analysis was used to quantify average changes in 3 individual experiments. (C) IP showing MELK-EZH2 interaction. (D-E) EZH2 protein level change with MELK inhibitor OTSSP167 treatment of 48 hours in NKYS (D, densitometry analysis was used to quantify average changes in 3 individual experiments) and (E) NK-S1. (F-G) EZH2 protein level change with MELK knock-down using siRNA in (F) NKYS and (G) NK-S1. Cells were harvested for immunoblots 48 hours after knock-down. (H) Linear correlation was obtained by comparing percentage of EZH2 positive staining (EZH2+) to average percentage of cytoplasmic and nuclear MELK positive staining (MELK+) in NKTL cells (CD3+) for each core from NKTL patient tissues. N = 83 cores from 52 NKTL patients were stained (R = 0.4549, P < .0001). (I) Representative images indicating expression of EZH2 and MELK in NKTL tissue microarray sample (left) with corresponding segmented image masks (right). CD3 marks tumor cells. A total of 80.8% of CD3+ cells in sample 1 are positive for nuclear expression of EZH2, whereas 38.27% CD3+ cells in sample 2 are positive for EZH2. Seventy-three percent of CD3+ cells in sample 1 are positive for MELK and only 36.42% CD3+ cells are positive for MELK in sample 2. All immunoblots were performed in at least 3 individual experiments; representative images are shown. Ig, immunoglobulin

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