Current preclinical models in tumor biology are limited in their ability to recapitulate relevant (patho-) physiological processes, including autophagy. Three-dimensional (3D) growth cultures have frequently been proposed to overcome the lack of correlation between two-dimensional (2D) monolayer cell cultures and human tumors in preclinical drug testing. Besides 3D growth, it is also advantageous to simulate shear stress, compound flux and removal of metabolites, e.g. via bioreactor systems, through which culture medium is constantly pumped at a flow rate reflecting physiological conditions. Here, we show that both Staticic 3D growth and 3D growth within a bioreactor system modulate key hallmarks of cancer cells, including proliferation and cell death as well as macroautophagy, a recycling pathway often activated by highly proliferative tumors to cope with metabolic stress. The autophagy-related gene expression profiles of 2D- and 3D-grown cells are substantially different, with the 3D-grown cells exhibiting an expression profile closely resembling the (patho-) physiological Statice of a tumor. Underscoring the importance of this pathway, autophagy-controlling transcription factors, such as TFEB and FOXO3, are upregulated in tumors, and 3D-grown cells have increased expression compared with cells grown in 2D conditions. Three-dimensional cultures depleted of the autophagy mediators BECN1, ATG5 or ATG7 or the transcription factor FOXO3, are more sensitive to cytotoxic treatment. Accordingly, combining cytotoxic treatment with compounds affecting late autophagic flux, such as chloroquine, renders the 3D-grown cells more susceptible to therapy and increases intracellular doxorubicin concentration to the level of 2D-grown cells. Altogether, 3D cultures are a valuable tool to study drug response of tumor cells, as these models recapitulate (patho-) physiologically relevant pathways, such as autophagy.
Three-dimensional tumor cell growth stimulates autophagic flux and recapitulates chemotherapy resistance.
Specimen part, Cell line
View SamplesThe prognosis of advanced stage neuroblastoma patients remains poor and, despite intensive therapy, the 5-year survival rate remains less than 50%. We previously identified histone deacetylase (HDAC) 8 as an indicator of poor clinical outcome and a selective drug target for differentiation therapy in vitro and in vivo. Here we performed kinome-wide RNAi screening to identify genes that are synthetically lethal with HDAC8 inhibitors. These experiments identified the neuroblastoma predisposition gene ALK as a candidate gene. Accordingly, the combination of the ALK/MET inhibitor crizotinib and selective HDAC8 inhibitors (3-6M PCI-34051 or 10M 20a) efficiently killed neuroblastoma cell lines carrying wildtype ALK (SK-N-BE(2)-C, IMR5/75), amplified ALK (NB-1), and those carrying the activating ALK F1174L mutation (Kelly), and, in cells carrying the activating R1275Q mutation (LAN-5), combination treatment decreased viable cell count. The effective dose of crizotinib in neuroblastoma cell lines ranged from 0.05M (ALK-amplified) to 0.8M (wildtype ALK). The combinatorial inhibition of ALK and HDAC8 also decreased tumor growth in an in vivo zebrafish xenograft model. Bioinformatic analyses revealed that the mRNA expression level of HDAC8 was significantly correlated with that of ALK in two independent patient cohorts, the Academic Medical Center cohort (n=88) and the German Neuroblastoma Trial cohort (n=649), and co-expression of both target genes identified patients with very poor outcome. Mechanistically, HDAC8 and ALK converge at the level of receptor tyrosine kinase (RTK) signaling and their downstream survival pathways, such as ERK signaling. Combination treatment of HDAC8 inhibitor with crizotinib efficiently blocked the activation of growth receptor survival signaling and shifted the cell cycle arrest and differentiation phenotype toward effective cell death of neuroblastoma cell lines, including sensitization of resistant models, but not of normal cells. These findings reveal combined targeting of ALK and HDAC8 as a novel strategy for the treatment of neuroblastoma.
A kinome-wide RNAi screen identifies ALK as a target to sensitize neuroblastoma cells for HDAC8-inhibitor treatment.
Specimen part
View SamplesHigh-throughput sequencing of primary cutaneous follicle center lymphoma (PCFCL), primary cutaneous diffuse large B-cell lymphoma, leg type (PCLBCL-LT) and in vitro activated peripheral blood B-cells. We performed high-throughput sequencing analysis on frozen tumor biopsies from 19 cases of PCFCL and PCLBCL-LT to establish microRNA profiles. Cluster analysis of the complete microRNome could not distinguish between the two subtypes, but 16 single microRNAs were found to be differentially expressed. Overall design: Lymphoma miRNA profiles of were generated by deep sequencing, using Illumina Genome Analyzer II.
MicroRNA profiling of primary cutaneous large B-cell lymphomas.
No sample metadata fields
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Molecular pathway profiling of T lymphocyte signal transduction pathways; Th1 and Th2 genomic fingerprints are defined by TCR and CD28-mediated signaling.
Cell line, Treatment, Time
View SamplesT lymphocytes are orchestrators of adaptive immunity. Nave T cells may differentiate into the Th1, Th2, Th17 or iTreg phenotype, depending on environmental co-stimulatory signals. In order to identify the genes and pathways involved in differentiation of Jurkat T cells towards Th1 and Th2 subtypes we performed comprehensive transcriptome analyses of Jurkat T cells stimulated with various stimuli an pathway inhibitors
Molecular pathway profiling of T lymphocyte signal transduction pathways; Th1 and Th2 genomic fingerprints are defined by TCR and CD28-mediated signaling.
Cell line, Treatment
View SamplesT lymphocytes are orchestrators of adaptive immunity. Nave T cells may differentiate into the Th1, Th2, Th17 or iTreg phenotype, depending on environmental co-stimulatory signals. In order to identify the genes and pathways involved in differentiation of Jurkat T cells towards Th1 and Th2 subtypes we performed comprehensive transcriptome analyses of Jurkat T cells stimulated with various stimuli an pathway inhibitors
Molecular pathway profiling of T lymphocyte signal transduction pathways; Th1 and Th2 genomic fingerprints are defined by TCR and CD28-mediated signaling.
Cell line, Treatment, Time
View SamplesLymph node vs. tonsil
Differential expression of a gene signature for scavenger/lectin receptors by endothelial cells and macrophages in human lymph node sinuses, the primary sites of regional metastasis.
No sample metadata fields
View SamplesHuman dendritic cells were exposed to LPS, in the absence and presence of adenosine receptor 3 inhibitor Overall design: 4 donors, 4 experimental conditions. VUF concentration used was 5 µM, LPS was 500 ng/ml. Exposure times were 6 hours
TLR-Induced IL-12 and CCL2 Production by Myeloid Cells Is Dependent on Adenosine A<sub>3</sub> Receptor-Mediated Signaling.
Specimen part, Subject
View SamplesIL17-producing ?d T cells (?d T17) mainly develop in the prenatal phase and persist as long-living self-renewing effector cell in all kind of tissues. They express polyclonal T-cell receptors (TCR), comprising public V?4+ and V?6+ TCRs with germline-like rearrangements. In particular, V?6+ T cells have recently been found in a variety of tissues including enthesis, gingiva or skin. However, their exchange between tissues and the mechanisms of tissue-specific adaptation and residency remain poorly understood. Here, we profiled V?6+ T cells isolated from thymus, peripheral lymph nodes (pLN) and skin through single-cell RNA-seq technology and compared those to V?4+ T cells. Our data demonstrated that V?6+ T cells formed highly homogenous cell populations that could be separated by tissue-specific gene expression signatures. Overall design: Sort V?4 and V?6 ?dT cells from peripheral lymph nodes, ear skin and thymus, then do 3'-RNA single cell sequencing (10x genomics).
Single-Cell Transcriptomics Identifies the Adaptation of Scart1<sup>+</sup> Vγ6<sup>+</sup> T Cells to Skin Residency as Activated Effector Cells.
Age, Specimen part, Cell line, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Genomic binding of PAX8-PPARG fusion protein regulates cancer-related pathways and alters the immune landscape of thyroid cancer.
Specimen part, Treatment
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