Project description:We have developed a web-based platform for HTT PPI visualization, exploration, and multi-omic integration called HTT-OMNI. We demonstrate the utility of this platform not only for exploring and filtering existing huntingtin (HTT) PPIs, but also for investigating user-generated omics datasets. For example, we demonstrate the comparison of a published HTT IP-MS experiment, performed in the striatum brain region of a mouse HD model, to unpublished HTT IP-MS experiments in the cortex brain region. Overall, HTT-OMNI summarizes and integrates known HTT PPIs with polyQ-dependent transcriptome and proteome measurements, providing an all-in-one exploratory platform that facilitates the prioritization of target genes that may contribute to HD pathogenesis.
Project description:Oligonucleotide DNA microarrays were used as a platform to compare C. jejuni isolates from feedlot cattle and human clinical cases from Alberta. Comparative genomic hybridization (CGH) analysis was performed on 87 isolates (46 bovine, 41 human) obtained within the same geographical regions and time frame. In addition, We also performed gene association analysis to determine if any genes may be differentially distributed between human and cattle sources or between clusters dominated by either human or cattle isolates (“human enriched” vs “cattle enriched”). Keywords: Comparative Genomic Hybridization; Genomic epidemiology; Gene-association study
Project description:T-HF cells were grown either in the presence or absence of DOX. Upon DOX exposure, cells expressed either HA-ICP22 or HA-ICP22 and V5-ICP27. T-HF HA-ICP22 cells were treated with salt stress for 2 hours before proceeding with Omni-ATAC-seq. OMNI-ATAC-seq was conducted for the KOS1.1 strain and compared to a full US1 deletion mutant.
Project description:Extracellular matrix interactions play essential roles in normal physiology and many pathological processes. Here, we report a novel screening platform capable of measuring phenotypic responses to combinations of ECM molecules. While the importance of ECM interactions in metastasis is well documented, systematic approaches to identify their roles in distinct stages of tumorigenesis have not been described. Using a genetic mouse model of lung adenocarcinoma, we measured the ECM-dependent adhesion of tumor-derived cells. Hierarchical clustering of adhesion profiles generated using this platform differentially segregated metastatic cell lines from primary tumor lines. Furthermore, we uncovered that metastatic cells selectively associate with fibronectin when in combination with galectin-3, galectin-8, or laminin. These interactions appear to be mediated in part by α3β1 integrin both in vitro and in vivo. We show that these galectins also correlate with human disease at both a transcriptional and histological level. Thus, our in vitro platform allowed us to interrogate the interactions of metastatic cells with their surrounding environment, and identified ECM and integrin interactions that could lead to therapeutic targets for metastasis prevention. Cell lines derived from murine lung primary adenocarcinomas and their metastases (Winslow et al., 2011 Nature 473:101-104)
Project description:Extracellular matrix interactions play essential roles in normal physiology and many pathological processes. Here, we report a novel screening platform capable of measuring phenotypic responses to combinations of ECM molecules. While the importance of ECM interactions in metastasis is well documented, systematic approaches to identify their roles in distinct stages of tumorigenesis have not been described. Using a genetic mouse model of lung adenocarcinoma, we measured the ECM-dependent adhesion of tumor-derived cells. Hierarchical clustering of adhesion profiles generated using this platform differentially segregated metastatic cell lines from primary tumor lines. Furthermore, we uncovered that metastatic cells selectively associate with fibronectin when in combination with galectin-3, galectin-8, or laminin. These interactions appear to be mediated in part by α3β1 integrin both in vitro and in vivo. We show that these galectins also correlate with human disease at both a transcriptional and histological level. Thus, our in vitro platform allowed us to interrogate the interactions of metastatic cells with their surrounding environment, and identified ECM and integrin interactions that could lead to therapeutic targets for metastasis prevention.