Project description:To identify factors involved in tumorigenicity of glioma-initiating cells (GICs), we compared gene expression in GIC-like cells with and without sox11 expression. We established sox11-expressing mouse glioma-initiating cell (GIC)-like cell line (NSCL61s), NSCL61s-sox11, which lost tumorigenicity when transplanted in vivo. We think that genes, which are differently expressed between NSCL61s and NSCL61s-sox11, would be new targets for glioma therapy.
Project description:To identify a novel miRNA that is aberrantly expressed in GICs, we analyzed differences in miRNA expression between the mouse GICs, NSCL61 and OPCL61, showing characteristic features of cancer stem cell, and their parental cells by miRNA microarrays. neural stem cells, glioma-initiating cells (GICs) from neural stem cells, oligodendrocyte precursor cells, glioma-initiating cells (GICs) from oligodendrocyte precursor cells.
Project description:Acute myeloid leukemia (AML) is a hematological malignancy, associated with unfavorable patient outcome primarily due to disease relapse. Since specific early leukemic hematopoietic stem and progenitor cells (HSPCs) are suggested to be responsible for AML propagation, the present study used single cell analysis (SCA) to detect and explore rare relapse-initiating HSPC clones, appearing already at diagnosis. To address inherent SCA limitations, we developed a unique high-resolution technique capable to follow single cell-derived subclones of heterogeneous HSPC subpopulations during AML evolution. Each of these subclones was evaluated for chemo-resistance, in-vivo leukemogenic potential, mutational profile, and the subclone cell of origin identified using reconstruction of phylogenetic trees. This study, employing combined functional and genomic analyses, unraveled the patient-specific HSPC subpopulations involved in chemo-resistance and determined, at time of diagnosis, the phenotype of the relapse-initiating clone, allowing early prediction of AML recurrence and suggesting novel precise therapeutic targets for relapse prevention.
Project description:Medium conditioned by LLC cells stimulates thermogenic gene expression when added onto primary adipocytes. We generated single cell colonies from parental LLC cells. Media conditioned by the subclones stimulated thermogenic gene expression in primary adipocytes at varying degrees. Subclones 2, 3, 6 and 28 produce significantly larger amount of thermogenic activity than the subclones 18, 19, 23 and 24. We compared gene expression profiles of these subclones to identify secreted factors enriched in the more thermogenic clones.
Project description:<p>RNA sequencing was performed on human DRGs and relative gene abundances were calculated.</p> <p>Various analyses were performed:</p> <p> <ol> <li>Human DRG gene expression profiles were contrasted with a panel of gene expression profiles of relevant tissues in human and mouse ( integrating, among other sources, datasets from ENCODE and GTex ) in order to identify.</li> <ol type="a"> <li>DRG-enriched gene expression, co-expression modules of DRG-expressed genes, and key transcriptional regulators in humans.</li> <li>Contrasting the human and mouse DRG transcriptomes to identify DRG-enriched gene expression patterns that were conserved between human and mouse, identifying putative cell types of expression of these genes, and potential known drugs that might target the corresponding gene products.</li> <li>Characterization of non-coding RNA profile of human and mouse DRGs.</li> <li>Characterization of DRG-enriched alternative splicing and alternative transcription start site usage based transcript variants in humans and mouse, and the overlap between these two species.</li> <li>Contrasting of human DRG and GTex human tibial nerve samples to identify putative axonally transported mRNAs in sensory neurons.</li> </ol> <li>Human DRG transcriptomes from donors suffering from neuropathic and/or chronic pain were contrasted with controls to identify.</li> <ol type="a"> <li>Differentially expressed genes, pathways and regulators path play a potential role in neuronal plasticity, electrophysiological activity, immune signaling and response.</li> <li>Predictive models (Random Forests) were built to jointly predict the sex and pain state of samples based on information contained solely in autosomal gene expression profile.</li> <li>Gene co-expression modules were identified and gene set enrichment analysis performed.to identify sample - pathway associations, and to broadly characterize plasticity in human DRG cell types.</li> </ol> </ol> </p>