Figure 7.
T-bet represses cell cycling in CLL cells and predicts a good outcome. (A) scRNA-seq of Tbx21–/– and Tbx21+/+ TCL1 cells was performed and single cells were annotated according to their cell cycle phase. (B) Phospho-specific MS analysis of Tbx21–/– and Tbx21+/+ TCL1 cells was performed and kinase networks enriched in Tbx21–/– TCL1 cells are displayed. (C) The T-bet activity score based on repressed genes was calculated from scRNA-seq data of CLL lymph node samples annotated according to their proliferation status. (D) MEC-1 cell lines with inducible overexpression of T-bet or green fluorescent protein (GFP) as control were generated. Using doxycycline, overexpression was induced and expansion of GFP+ control cells and T-bet-overexpressing MEC-1 cells was analyzed using the CellTiter Glo proliferation assay (n = 4 biological replicates á 3 technical replicates). P values were obtained by unpaired t test of the means of biological replicates. (E-G) RNA-seq of patient samples with CLL was performed at diagnosis. Patients with CLL were stratified according to TBX21 mRNA abundance using the maximally selected rank statistics-based cutoff. (E) The OS of TBX21high vs TBX21low patients with CLL was analyzed. (F) Patients with CLL were stratified according to TBX21 mRNA abundance using the maximally selected rank statistics-based cutoff and their IGHV mutational status (M = mutated vs UM = unmutated). The OS of M-TBX21high, M-TBX21low, UM-TBX21high, and UM-TBX21low patients with CLL was analyzed. (G) Patients with CLL were stratified according to TBX21 mRNA abundance using the maximally selected rank and statistics-based cutoff and their ZAP70 gene expression level (ZAP70high vs ZAP70low). The OS of ZAP70high-TBX21high, ZAP70high-TBX21low, ZAP70low-TBX21high, and ZAP70low-TBX21low patients with CLL was analyzed. P values were obtained by log-rank testing. mRNA, messenger RNA. ∗P ≤ .05.

T-bet represses cell cycling in CLL cells and predicts a good outcome. (A) scRNA-seq of Tbx21–/– and Tbx21+/+ TCL1 cells was performed and single cells were annotated according to their cell cycle phase. (B) Phospho-specific MS analysis of Tbx21–/– and Tbx21+/+ TCL1 cells was performed and kinase networks enriched in Tbx21–/– TCL1 cells are displayed. (C) The T-bet activity score based on repressed genes was calculated from scRNA-seq data of CLL lymph node samples annotated according to their proliferation status. (D) MEC-1 cell lines with inducible overexpression of T-bet or green fluorescent protein (GFP) as control were generated. Using doxycycline, overexpression was induced and expansion of GFP+ control cells and T-bet-overexpressing MEC-1 cells was analyzed using the CellTiter Glo proliferation assay (n = 4 biological replicates á 3 technical replicates). P values were obtained by unpaired t test of the means of biological replicates. (E-G) RNA-seq of patient samples with CLL was performed at diagnosis. Patients with CLL were stratified according to TBX21 mRNA abundance using the maximally selected rank statistics-based cutoff. (E) The OS of TBX21high vs TBX21low patients with CLL was analyzed. (F) Patients with CLL were stratified according to TBX21 mRNA abundance using the maximally selected rank statistics-based cutoff and their IGHV mutational status (M = mutated vs UM = unmutated). The OS of M-TBX21high, M-TBX21low, UM-TBX21high, and UM-TBX21low patients with CLL was analyzed. (G) Patients with CLL were stratified according to TBX21 mRNA abundance using the maximally selected rank and statistics-based cutoff and their ZAP70 gene expression level (ZAP70high vs ZAP70low). The OS of ZAP70high-TBX21high, ZAP70high-TBX21low, ZAP70low-TBX21high, and ZAP70low-TBX21low patients with CLL was analyzed. P values were obtained by log-rank testing. mRNA, messenger RNA. ∗P ≤ .05.

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