Differential gene expression induction by TRAIL in B chronic lymphocytic leukemia (B-CLL) cells showing high versus low levels of Zap-70

2007 ◽  
Vol 213 (1) ◽  
pp. 229-236 ◽  
Author(s):  
Paola Secchiero ◽  
Maria Grazia di Iasio ◽  
Arianna Gonelli ◽  
Elisa Barbarotto ◽  
Elisabetta Melloni ◽  
...  
Development ◽  
1996 ◽  
Vol 122 (7) ◽  
pp. 2313-2317 ◽  
Author(s):  
M. Furriols ◽  
F. Sprenger ◽  
J. Casanova

Activation of receptor tyrosine kinases triggers many developmental decisions, yet we do not understand how activation of a single receptor can be transduced into different cell responses. The torso pathway in Drosophila provides a model to address this issue since it generates more than one response in the embryo. The torso receptor tyrosine kinase is activated at the embryonic poles under the control of trunk, a protein with similarities to several types of extracellular growth factors. Activation of torso is responsible for the development of a variety of structures, whose appearance can be correlated with activation of at least two different genes along the terminal region. In this study we have analyzed mutations in torso and trunk that express low levels of the respective proteins. We show that different amounts of torso or trunk molecules correlate with the expression of different zygotic genes, implicating changes in the number of activated torso molecules as one of the mechanisms defining differential gene expression. We suggest that variation in the number of activated receptors at the cell surface is a general mechanism that leads to differential gene expression and thus the generation of different cell responses.


PLoS ONE ◽  
2013 ◽  
Vol 8 (12) ◽  
pp. e84160 ◽  
Author(s):  
Joel Atallah ◽  
David C. Plachetzki ◽  
W. Cameron Jasper ◽  
Brian R. Johnson

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 1774-1774
Author(s):  
Xiao J. Yan ◽  
Igor Dozmorov ◽  
Ivanovic Ivana ◽  
Sophia Yancopoulos ◽  
Daniel Kalenscher ◽  
...  

Abstract Abstract 1774 Introduction: Chronic Lymphocytic Leukemia (CLL) follows a variable, difficult to predict course. Biomarkers (IGHV mutations, CD38 and ZAP-70) have improved prognostication but accuracy is only ∼80%, not sufficient to initiate preemptive therapy. To address this, we have incorporated another molecular biological parameter, hypervariably expressed genes (HVEGs) from global gene expression profiles (GEPs) [Dozmorov, 2011], along with IGHV mutation status to develop a more robust method of prognostication. Methods: RNA was purified from B cells of 65 CLL patients and 25 normal subjects. GEPs were defined with Illumina HumanHT12 beadchips and analyzed to identify HVEGs fluctuating coordinately in CLL patients but not expressed in normal circulating human B cells. A Cox proportional hazards regression model was used to compare expression levels with clinical outcome. Results: Unmutated CLL (U-CLL) and mutated CLL (M-CLL) samples were sorted based on the averaged normalized gene expression level in the largest HVEG cluster consisting of 45 genes. Samples were split into subgroups based on high and low expression of these genes. Four subgroups were identified: U-CLL with high (U-HVEhi), U-CLL with low (U-HVElo), M-CLL with high (M-HVEhi), and M-CLL with low (M-HVElo) expression of HVEGs. When these subgroups were analyzed for time-to-first treatment (TTFT), the findings were remarkably different. Using a Cox proportional hazards regression model we found that for M-CLL the presence of low levels of HVEGs denoted a subgroup with a prolonged median TTFT compared to M-CLL patients with high levels of HVEGs (23.46 yrs in M-HVElo versus 9.05 yrs in M-HVEhi; P=0.0075). This association was reversed in U-CLL, where low levels of HVEGs pinpointed a subgroup with a shortened median TTFT compared to U-CLL patients with high levels of HVEGs: median TTFT was 8.01 yrs in U-HVEhi and decreased by 50% to 3.12 yrs in U-HVElo (P=0.0151). Compared to the TTFT for M-HVElo, the TTFT for U-HVElo was dramatically shorter (3.12 vs. 23.46 years; P<0.0001). Discussion: Combining the HVEG approach with IGHV mutation status enabled us to define intra-group heterogeneity, and thereby improve prognostication for apparently homogeneous subgroups of U-CLL and M-CLL patients. This combination was superior to IGHV mutations alone in that it pinpointed a subset of M-CLL patients with shorter TTFTs and a subset of U-CLL patients with longer TTFTs, indicating that the combined approach selects those patients that IGHV mutation analysis misclassified. Therefore, combining IGHV mutation status and HVEG expression provides a more precise indicator with potentially valuable clinical implications. The data suggest that the HVEGs are responsible for the different outcomes in the two groups and could provide mechanistic insights into key aspects of CLL B-cell biology as well as therapeutic targets. Disclosures: No relevant conflicts of interest to declare.


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