Clinical evidence shows that tumor hypoxia is an independent prognostic indicator of poor patient outcome. Hypoxic tumors have altered physiologic processes, including increased regions of angiogenesis, increased local invasion, increased distant metastasis and altered apoptotic programs. Since hypoxia is a potent controller of gene expression, identifying hypoxia-regulated genes is a means to investigate the molecular response to hypoxic stress. Traditional experimental approaches have identified physiologic changes in hypoxic cells. Recent studies have identified hypoxia-responsive genes that may define the mechanism(s) underlying these physiologic changes. For example, the regulation of glycolytic genes by hypoxia can explain some characteristics of the Warburg effect. The converse of this logic is also true. By identifying new classes of hypoxia-regulated gene(s), we can infer the physiologic pressures that require the induction of these genes and their protein products. Furthermore, these physiologically driven hypoxic gene expression changes give us insight as to the poor outcome of patients with hypoxic tumors. Approximately 1-1.5% of the genome is transcriptionally responsive to hypoxia. However, there is significant heterogeneity in the transcriptional response to hypoxia between different cell types. Moreover, the coordinated change in the expression of families of genes supports the model of physiologic pressure leading to expression changes. Understanding the evolutionary pressure to develop a 'hypoxic response' provides a framework to investigate the biology of the hypoxic tumor microenvironment.

A common V(D)J recombinase that recognizes a conserved recombination signal sequence (RSS) mediates the assembly of immunoglobulin (Ig) and T cell receptor (TCR) genes in B and T cell precursors. The rearrangement of particular Ig and TCR gene segments, however, is tightly regulated with respect to cell lineage and developmental stage. Using an in vitro system, we analyzed recombinase cleavage of RSSs flanking Ig and TCR gene segments in nuclei. We found that both the lineage-specificity and temporal ordering of gene rearrangement is reflected in the accessibility of RSSs within chromatin to in vitro cleavage.

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The regulation of megakaryopoeisis by cytokines is not yet well understood. It is possible that autocrine loops are established during megakaryocyte growth and differentiation, aiding in the maturation of these cells. The CHRF-288-11 human megakaryoblastic cell line has been examined for cytokine production in growing cells and cells stimulated to differentiate by the addition of phorbol esters. It has been demonstrated that these cells produce RNA corresponding to the interleukins IL-1 alpha, 1 beta, 3, 7, 8, and 11, granulocyte-macrophage colony stimulating factor (GM-CSF), stem cell factor (SCF), transforming growth factor-beta (TGF-beta), tumor necrosis factor-alpha (TNF-alpha), interferon-alpha (INF-alpha), and basic fibroblast growth factor (bFGF). Additionally, RNA corresponding to the receptors for IL-6, GM-CSF, SCF, INF-alpha, beta, bFGF, and monocyte colony stimulating factor (M-CSF) were also expressed by the cells. The receptor for TNF-alpha was detected immunologically. Analysis at the protein level demonstrated that significant amounts of INF-alpha, TNF-alpha, GM-CSF, SCF, IL-1 alpha, and a soluble form of the IL-6 receptor were produced by the cells. Addition of phorbol esters to CHRF-288-11 cells enhances their megakaryocytic phenotype; such treatment also results in increased secretion of INF-alpha, TNF-alpha, and GM-CSF. These results suggest that potential autocrine loops are established during the differentiation of CHRF-288-11 cells, which may alter the capability of the cell to differentiate. These findings are similar to those recently obtained for marrow-derived megakaryocytes (Jiang et al.) suggesting that CHRF-288-11 cells provide a useful model system for the study of cytokine release during megakaryocyte differentiation.

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