| Literature DB >> 26147087 |
Sebastian W Hofbauer1,2, Peter W Krenn1,2, Josefina Piñόn Hofbauer1,2, Susanne Pucher1,2, Daniela Asslaber1,2, Alexander Egle1,2, Tanja N Hartmann3,4, Richard Greil1,2.
Abstract
Entities:
Keywords: AKT; chemoresistance; chronic lymphocytic leukaemia; microenvironment; survival
Mesh:
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Year: 2015 PMID: 26147087 PMCID: PMC4832298 DOI: 10.1111/bjh.13542
Source DB: PubMed Journal: Br J Haematol ISSN: 0007-1048 Impact factor: 6.998
Figure 1AKT1 is the dominant AKT isoform in stromal cell mediated chronic lymphocytic leukaemia (CLL) cell survival. (A) and mRNA expression in CD19‐positive selected CLL cells (n = 10) were measured by quantitative real‐time polymerase chain reaction (RT‐PCR) using Taqman Gene Expression Assays relative to rRNA expression. (B) AKT1 and AKT2 protein expression in purified CLL cells was determined by Western blot, analysed densitometrically and compared to the housekeeping gene (n = 10). (C i) CLL cells were cultured for the indicated time points or (C ii) for 24 h on stromal cells (SC) and AKT phosphorylation was determined by Western blot. (D i) AKT phosphorylation and (D ii) CLL cell survival was measured by fluorescence‐activated cell sorting (FACS) analysis upon co‐culture of CLL cells with primary SC, either separated by membrane filter with 0·4 μm pore size (transwell), or in direct cell cell‐contact (n = 6). Annexin‐V and 7‐aminoactinomycin D double negative cells were considered viable. (E) Upon an AKT isoform‐specific protein G‐coupled bead‐based pull‐down assay, AKT isoform expression and GSK3A/B phosphorylation in MEC1 cells was analysed by Western blot. (F) Flow cytometric determination of cell viability of SC co‐cultured CLL cells after 48 h of pan‐AKT (5 μmol/l of MK2206 or AiX) or AKT2 isoform specific (Akti‐2, 5 μmol/l) inhibition (n = 5). (G) siRNA‐mediated AKT isoform‐specific knockdown in MEC1 cells was achieved using the Nucleofector™ Technology (Lonza, Basel, Switzerland), and knockdown efficiency was determined by RT‐PCR. (H) Following knockdown, MEC1 cell viability was assessed after 48 h of culture by FACS analysis and compared to the non‐targeting control (n = 4). All panels: dark horizontal lines represent the median, with the box representing the 25th and 75th percentiles, the whiskers the smallest and largest value. Statistical analysis was performed using GraphPad Prism 5.0 (GraphPad Software, La Jolla, CA, USA). All data were tested for normal distribution. Analysis of variance (anova) and Tukey post tests were performed for normally distributed data. For non‐normally distributed data, the Friedman and Dunns test was used. *P < 0·05; **P < 0·01; ***P < 0·001; n.s., non significant.
Figure 2AKT1 phosphorylation and regulation by STAT3 upon T cell‐mediated activation results in fludarabine resistance. Peripheral blood mononuclear cells from chronic lymphocytic leukaemia (CLL) patients containing >5% T cells were activated by addition of anti‐CD3/CD28 beads (CD3/CD28), harvested, and purified at the indicated time points. (A) (left panel) and (right panel) mRNA levels were determined by real‐time polymerase chain reaction (RT‐PCR) as described before and compared to the untreated control (n = 10). (B) The activation state of AKT isoforms was analysed by Western blot. (C) The activation state of STAT3 (pY(705)) in resting or activated CLL cells in the absence or presence of the STAT3 inhibitor S3I‐201 (50 μmol/l) was determined by Western blot. (D) mRNA expression in activated CLL cells upon STAT3 inhibition was determined by RT‐PCR (n = 4) (results presented as bars depict the mean + standard deviation values, data normalised to resting, untreated control). (E) The viability of activated, fludarabine‐resistant CLL cells was measured after 48 h and compared to the treatment with the single agents fludarabine (10 μmol/l), the pan‐AKT inhibitor MK2206 (5 μmol/l), the AKT2 specific inhibitor Akti‐2 (5 μmol/l), the STAT3 inhibitor S3I‐201 (50 μmol/l) or the indicated combinations (n = 6; dark horizontal lines represent the median, with the box representing the 25th and 75th percentiles, and the whiskers the smallest and largest value). Statistical analysis was performed using GraphPad Prism 5.0 (GraphPad Software, La Jolla, CA, USA). All data were tested for normal distribution, and t‐test or analysis of variance (anova) and Tukey post test were performed for normally distributed data. For non‐normally distributed data, the Wilcoxon signed ranked test or the Friedman and Dunns test were used. *P < 0·05; **P < 0·01; ***P < 0·001.