Dataset Information

Network model of survival signaling in large granular lymphocyte leukemia.

ABSTRACT: T cell large granular lymphocyte (T-LGL) leukemia features a clonal expansion of antigen-primed, competent, cytotoxic T lymphocytes (CTL). To systematically understand signaling components that determine the survival of CTL in T-LGL leukemia, we constructed a T-LGL survival signaling network by integrating the signaling pathways involved in normal CTL activation and the known deregulations of survival signaling in leukemic T-LGL. This network was subsequently translated into a predictive, discrete, dynamic model. Our model suggests that the persistence of IL-15 and PDGF is sufficient to reproduce all known deregulations in leukemic T-LGL. This finding leads to the following predictions: (i) Inhibiting PDGF signaling induces apoptosis in leukemic T-LGL. (ii) Sphingosine kinase 1 and NFkappaB are essential for the long-term survival of CTL in T-LGL leukemia. (iii) NFkappaB functions downstream of PI3K and prevents apoptosis through maintaining the expression of myeloid cell leukemia sequence 1. (iv) T box expressed in T cells (T-bet) should be constitutively activated concurrently with NFkappaB activation to reproduce the leukemic T-LGL phenotype. We validated these predictions experimentally. Our study provides a model describing the signaling network involved in maintaining the long-term survival of competent CTL in humans. The model will be useful in identifying potential therapeutic targets for T-LGL leukemia and generating long-term competent CTL necessary for tumor and cancer vaccine development.

SUBMITTER: Zhang R

PROVIDER: S-EPMC2571012 | biostudies-literature | 2008 Oct

REPOSITORIES: biostudies-literature

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Network model of survival signaling in large granular lymphocyte leukemia.

Zhang Ranran R Shah Mithun Vinod MV Yang Jun J Nyland Susan B SB Liu Xin X Yun Jong K JK Albert Réka R Loughran Thomas P TP

Proceedings of the National Academy of Sciences of the United States of America 20081013 42

T cell large granular lymphocyte (T-LGL) leukemia features a clonal expansion of antigen-primed, competent, cytotoxic T lymphocytes (CTL). To systematically understand signaling components that determine the survival of CTL in T-LGL leukemia, we constructed a T-LGL survival signaling network by integrating the signaling pathways involved in normal CTL activation and the known deregulations of survival signaling in leukemic T-LGL. This network was subsequently translated into a predictive, discre ...[more]

PMID: 18852469

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Project description:T cell large granular lymphocyte leukemia (T-LGLL) is a rare incurable disease that is characterized by defective apoptosis of cytotoxic CD8+ T cells. Chronic activation of the Janus Kinase-Signal Transducer and Activator of Transcription (JAK-STAT) pathway is a hallmark of T-LGLL. One manifestation is the constitutive phosphorylation of tyrosine 701 of STAT1 (p-STAT1). T-LGLL patients also exhibit elevated serum levels of the STAT1 activator, interferon-? (IFN-?), thus contributing to an inflammatory environment. In normal cells, IFN-? production is tightly controlled through induction of IFN-? negative regulators. However, in T-LGLL, IFN-? signaling lacks this negative feedback mechanism as evidenced by excessive IFN-? production and decreased levels of suppressors of cytokine signaling 1 (SOCS1), a negative regulator of IFN-?. Here we characterize the IFN-?-STAT1 pathway in TL-1 cells, a cell line model of T-LGLL. TL-1 cells exhibited lower IFN-? receptor protein and mRNA expression compared to an IFN-? responsive cell line. Furthermore, IFN-? treatment did not induce JAK2 or STAT1 activation or transcription of IFN-?-inducible gene targets. However, IFN-? induced p-STAT1 and subsequent STAT1 gene transcription, demonstrating a specific IFN-? signaling defect in TL-1 cells. We utilized siRNA targeting of STAT1, STAT3, and STAT5b to probe their role in IL-2-mediated IFN-? regulation. These studies identified STAT5b as a positive regulator of IFN-? production. We also characterized the relationship between STAT1, STAT3, and STAT5b proteins. Surprisingly, p-STAT1 was positively correlated with STAT3 levels while STAT5b suppressed the activation of both STAT1 and STAT3. Taken together, these results suggest that the dysregulation of the IFN-?-STAT1 signaling pathway in TL-1 cells likely results from low levels of the IFN-? receptor. The resulting inability to induce negative feedback regulators explains the observed elevated IL-2 driven IFN-? production. Future work will elucidate the best way to target this pathway, with the ultimate goal to find a better therapeutic for T-LGLL.

Dataset Information

Network model of survival signaling in large granular lymphocyte leukemia.

Publications

Network model of survival signaling in large granular lymphocyte leukemia.

Similar Datasets

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