Ontogeny and regulation of interleukin-7 expressing thymic epithelial cells

T cell development is a multistage process of differentiation that depends on proper thymocyte-thymic epithelial cell (TEC) interactions. Epithelial cells in the thymus are organized in a three-dimensional network that provides support and signals for thymocyte maturation. Concurrently, proper TEC differentiation in the adult thymus relies on thymocyte-derived signals. TECs produce interleukin-7 (IL-7), a non-redundant cytokine that promotes the survival, differentiation, and proliferation of thymocytes. We have identified IL-7 expressing TECs throughout ontogeny and in the adult thymus by in situ hybridization analysis. IL-7 expression is initiated in the thymic fated domain of the thymic primordium by embryonic day 11.5, in a Foxn1 independent pathway. Marked changes occur in the localization and regulation of IL-7 expressing TECs during development. Whereas IL-7 expressing TECs are present throughout the early thymic rudiment, the majority of IL-7 producing TECs are concentrated in the adult thymic medulla. By analyzing mouse strains that sustain blocks at different stages of thymocyte development, we show that IL-7 expression is initiated independently of hematopoietic-derived signals during thymic organogenesis. However, thymocyte-derived signals play an essential role in regulating IL-7 expression in the adult TEC compartment. Furthermore, distinct thymocyte subsets regulate the expression of IL-7 and keratin 5 in adult cortical epithelium. Intraperitoneal injection of Recombination Activating Gene deficient mice (RAG-2−/−) with anti-CD3ϵ monoclonal antibody (mAb) induces CD4− 8− double negative thymocytes to undergo β-selection and differentiate into CD4+8+ cells. Analysis of the thymic stromal compartment reveals that progression through β-selection renders thymocytes competent to alter the pattern of IL-7 expression in the cortical TEC compartment. RAG-2−/− mice do not generate mature T cells and therefore the RAG-2−/− thymus is devoid of organized medullary regions. Histological examination of RAG-2−/− thymus following anti-CD3ϵ stimulation reveals the emergence of mature thymic medullary regions, as assessed by H & E staining and expression of thymic stromal medullary markers. Stromal medullary reorganization occurs in the absence of T cell receptor αβ expression, suggesting that activation of RAG-2−/− thymocytes by CD3ϵ ligation generates thymocyte-derived signals that induce thymic epithelial reorganization, generating a mature medullary compartment. This model provides a tool to assess the mechanisms underlying thymic medullary development. ^

Application of cell line based genomic predictors to predict response to targeted therapies in breast cancer

Cancer cell lines can be treated with a drug and the molecular comparison of responders and non-responders may yield potential predictors that could be tested in the clinic. It is a bioinformatics challenge to apply the cell line-derived multivariable response predictors to patients who respond to therapy. Using the gene expression data from 23 breast cancer cell lines, I developed three predictors of dasatinib sensitivity by selecting differentially expressed genes and applying different classification algorithms. The performance of these predictors on independent cell lines with known dasatinib response was tested. The predictor based on weighted voting method has the best overall performance. It correctly predicted dasatinib sensitivity in 11 out of 12 (92%) breast and 17 out of 23 (74%) lung cancer cell lines. These predictors were then applied to the gene expression data from 133 breast cancer patients in an attempt to predict how the patients might respond to dasatinib therapy. Two predictors identified 13 patients in common to be dasatinib sensitive. Sixty two percent of these cases are triple negative (ER-negative, HER2-negative and PR-negative) and 76% are double negative. The result is consistent with the findings from other studies, which identified a target population for dasatinib treatment to be triple negative or basal breast cancer subtype. In conclusion, we think that the cell line-derived dasatinib classifiers can be applied to the human patients. ^