Cancer cells interact with surrounding stromal fibroblasts during tumorigenesis, but the complex molecular rules that govern these interactions remain poorly understood, thus hindering the development of therapeutic strategies to target cancer stroma. We have taken a mathematical approach to begin defining these rules by performing large-scale quantitative analysis of fibroblast effects on cancer cell proliferation across more than four hundred heterotypic cell line pairings. Systems-level modeling of this complex dataset using singular value decomposition revealed that normal tissue fibroblasts variably express at least two functionally distinct activities, one which reflects transcriptional programs associated with activated mesenchyme, that act either coordinately or at cross-purposes to modulate cancer cell proliferation. To gain insight into the molecular identity of these fibroblast activities, we isolated RNA from 36 human skin and lung fibroblast cell line monocultures from Coriell Repositories or ATCC and performed microarray-based gene expression profiling using Affymetrix gene chips.
Systems-level modeling of cancer-fibroblast interaction.
Sex, Age, Race
View SamplesTargets of Retinoic Acid (RA) and 3,4-didehydroretinoic acid (ddRA) were identified in primary human epidermal keratinocytes grown in the presence of atRA or ddRA for 4 and 24 hours.
The effect of two endogenous retinoids on the mRNA expression profile in human primary keratinocytes, focusing on genes causing autosomal recessive congenital ichthyosis.
Treatment
View SamplesshRNA-mediated ablation of the RING-finger protein TRIM52 from multiple glioblastoma cell lines reduces proliferation and tumorigenesis. To identify gene signatures underlying this phenomenon, transcritional profile of TRIM52 knockdown cells was compared to control cells. Upon TRIM52 ablation, we find 278 differentially regulated genes. Gene ontology analysis reveals that many of the upregulated genes are associated with glycolysis and biosynthetic processes. Overall design: U87MG glioblastoma cells were stably transduced with doxycycline-inducible shRNA constructs targeting TRIM52 (two different shRNAs) or controls (two different non-targeting shRNAs). Knockdown was induced for five days using 2µg/ml doxycycline. shRNA expressing cells were sorted based on shRNA-coupled GFP expression via flow cytometry. mRNA sequening was performed in duplicate per shRNA cell line.
Human tripartite motif protein 52 is required for cell context-dependent proliferation.
Specimen part, Subject
View SamplesSteroid hormones regulate essential physiological processes and inadequate levels are associated with various pathological conditions. In testosterone-producing Leydig cells, steroidogenesis is strongly stimulated by LH via its receptor leading to increased cAMP production and expression of the steroidogenic acute regulatory (STAR) protein, which is essential for the initiation of steroidogenesis. Leydig cell steroidogenesis then passively decreases following the rapid degradation of cAMP into AMP by phosphodiesterases. In this study, we show that AMP-activated protein kinase (AMPK) is activated following cAMP breakdown in MA-10 and MLTC-1 Leydig cells. Activated AMPK then actively inhibits cAMP-induced steroidogenesis by repressing the expression of key regulators of steroidogenesis including Star and Nr4a1. Similar results were obtained in Y-1 adrenal cells and in the constitutive steroidogenic cell line R2C. Our data identify AMPK as an active repressor of steroid hormone biosynthesis in steroidogenic cells that is essential to preserve cellular energy and prevent excess steroid production.
A cell-autonomous molecular cascade initiated by AMP-activated protein kinase represses steroidogenesis.
Specimen part, Treatment
View SamplesWe obtained single-cell RNA-sequencing (scRNA-seq) profiles of CD14+ monocytes isolated from human peripheral blood at 0, 3 and 6 days after M-CSF stimulation (to differentiate the cells into macrophages) across multiple donors. Integration of single-cell RNA sequencing (scRNA-seq) data from multiple experiments, laboratories, and technologies can uncover biological insights, but current methods for scRNA-seq data integration are limited by a requirement for datasets to derive from functionally similar cells. We use a novel algorithm, Scanorama, to identify and merge the shared cell types among all pairs of datasets and to accurately integrate heterogeneous scRNA-seq datasets. Scanorama is sensitive to subtle temporal changes within the same cell lineage, successfully integrating functionally similar cells across time series data of CD14+ monocytes at different stages of differentiation into macrophages. Scanorama is not only able to differentiate between completely disparate cell types but is also sensitive to subtler transcriptional changes within a cell type due to processes like stimulation. Overall design: scRNA-seq of human CD14+ monocytes at 0, 3, and 6 days after M-CSF stimulation in multiple donors
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama.
Specimen part, Treatment, Subject
View SamplesDisruption of N-linked glycosylation has a broad impact on proper glycosylation of nascent glycoproteins in the endoplasmic reticulum, which affect multiple signalling pathways( by changing the stability of membrane proteins or the signalling ability of membrane receptors) and may be responsible of the fibrotic stage associated to CDG type-I.
Fibrotic response in fibroblasts from congenital disorders of glycosylation.
No sample metadata fields
View SamplesGenome-wide expression analysis comparison with and without ionizing radiation in p53 mutant and wild type Drosophila larvae
Genome-wide expression analysis identifies a modulator of ionizing radiation-induced p53-independent apoptosis in Drosophila melanogaster.
Sex, Specimen part, Treatment
View SamplesTestosterone production by Leydig cells is a tightly regulated process requiring synchronized expression of several steroidogenic genes by numerous transcription factors. Myocyte enhancer factor 2 (MEF2) is a transcription factor recently identified in somatic cells of the male gonad. In other tissues, MEF2 is an essential regulator of organogenesis and cell differentiation. So far in the testis, MEF2 was found to regulate Leydig cell steroidogenesis by controlling Nr4a1 and Star gene expression. To expand our understanding of the role of MEF2 in Leydig cells, we performed microarray analyses of MA-10 Leydig cells depleted in MEF2 and results were analyzed using the Partek and IPA softwares. Several genes were differentially expressed in MEF2-depleted Leydig cells and 15 were validated by qPCR. A large number of these genes are known to be involved in fertility, gonad morphology and steroidogenesis and include Pde8a, Por, Ahr, Bmal1, Cyp1a1, Cyp1b1, Map2k1, Tsc22d3, Nr0b2, Smad4, and Star, which were all downregulated in the absence of MEF2. In silico analyses revealed the presence of MEF2 binding sites within the first 2 kb upstream the transcription start site of the Por, Bmal1, and Nr0b2 promoters, which suggests a direct regulation by MEF2. Using transient transfections in MA-10 Leydig cells, siRNA knockdown, and a MEF2-Engrailed dominant negative, we found that MEF2 activates the Por, Bmal1 and Nr0b2 promoters and that this requires an intact MEF2 element. Our results identify novel target genes for MEF2 and define MEF2 as an important regulator of Leydig cell function and male reproduction.
Novel Targets for the Transcription Factors MEF2 in MA-10 Leydig Cells.
Specimen part, Cell line
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.
Specimen part
View SamplesHypothesis: Non-small cell lung cancer (NSCLC) is characterized by a multitude of genetic aberrations with unknown clinical impact. In this study, we aimed to identify gene copy number changes that correlate with clinical outcome in NSCLC. To maximize the chance to identify clinically relevant events, we applied a strategy involving two prognostically extreme patient groups.
Gene copy number aberrations are associated with survival in histologic subgroups of non-small cell lung cancer.
Specimen part
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