Carcinoma associated fibroblasts (CAFs) have recently been implicated in important aspects of epithelial solid tumor biology such as neoplastic progression, tumor growth, angiogenesis, and metastasis. However, neither the source of CAFs nor the differences between CAFs and fibroblasts from non-neoplastic tissue have been well defined. In this study we demonstrate that human bone marrow-derived mesenchymal stem cells (hMSCs) exposed to tumor-conditioned medium (TCM) over a prolonged period of time assume a CAF-like myofibroblastic phenotype. More importantly, these cells exhibit functional properties of CAFs including sustained expression of stromal derived factor 1 (SDF-1) and the ability to promote tumor cell growth both in vitro and in an in vivo co-implantation model and expression of myofibroblast markers including -smooth muscle actin and fibroblast surface protein. hMSCs induced to differentiate to a myofibroblast-like phenotype using 5-azacytidine do not promote tumor cells growth as efficiently as hMSCs cultured in tumor-conditioned medium nor do they demonstrate increased SDF-1 expression. Furthermore, gene expression profiling revealed similarities between TCM exposed hMSCs and carcinoma associated fibroblasts. Taken together these data suggest that hMSCs are a source of carcinoma associated fibroblasts and can be used in the modeling of tumor-stroma interactions. To our knowledge this is the first report demonstrating that hMSCs become activated and resemble carcinoma associated myofibroblasts upon prolonged exposure to conditioned medium from MDAMB231 human breast cancer cells.
Carcinoma-associated fibroblast-like differentiation of human mesenchymal stem cells.
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View SamplesWe found that pigmented and amelanotic (MPNST-like) melanomas arise in the genetically engineered BRAF(V600E)-Cdk4(R24C) mouse melanoma model and even in the same animal.
A Preclinical Model of Malignant Peripheral Nerve Sheath Tumor-like Melanoma Is Characterized by Infiltrating Mast Cells.
Specimen part
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.
Sex
View SamplesGenome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.
Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.
Sex
View SamplesGenome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.
Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.
Sex
View SamplesGenome-wide analysis of transcriptional profiles in children <17 years of age with inflammatory diseases, bacterial or viral infections or with clinical features suggestive of infection.
Diagnosis of Kawasaki Disease Using a Minimal Whole-Blood Gene Expression Signature.
Sex
View SamplesThe ability to dissect heterogeneity in colorectal cancer (CRC) is a critical step in developing predictive biomarkers. The goal of this study was to develop a gene expression based molecular subgrouping model, which predicts the likelihood that patients will respond to specific therapies.
Activation of the mTOR Pathway by Oxaliplatin in the Treatment of Colorectal Cancer Liver Metastasis.
No sample metadata fields
View SamplesPurpose: Identify differentially expressed genes in placental samples from early-onset (EO) IUGR, EO-PE, as well as pregnancies complicated by both EO-PE and EO-IUGR Overall design: Methods: Isolated total RNA from human placenta at birth and used it for RNA-sequencing on the Hiseq2000. Sequences were aligned to the human transcriptome (hg19/genome_build37) . Aligned sequences were then used to obtain abundance measurements and conduct differential expression analysis.
Placental microRNAs in pregnancies with early onset intrauterine growth restriction and preeclampsia: potential impact on gene expression and pathophysiology.
Specimen part, Subject
View SamplesThis SuperSeries is composed of the SubSeries listed below.
Alignment of time course gene expression data and the classification of developmentally driven genes with hidden Markov models.
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View SamplesWe studied intragraft gene expression profiles of positive crossmatch (+XM) kidney transplant recipients who develop transplant glomerulopathy (TG) and those who do not. Whole genome microarray analysis and quantitative rt-PCR for 30 transcripts were performed on RNA from protocol renal allograft biopsies in 3 groups: 1) +XM/TG+ biopsies before and after TG; 2) +XM/NoTG; and 3) negative crossmatch kidney transplants (control). Microarray comparisons showed few differentially expressed genes between paired biopsies from +XM/TG+ recipients before and after the diagnosis of TG. Comparing +XM/TG+ and control groups, significantly altered expression was seen for 2,447 genes (18%) and 3,200 genes (24%) at early and late time points, respectively. Canonical pathway analyses of differentially expressed genes showed inflammatory genes associated with innate and adaptive immune responses. Comparing +XM/TG+ and +XM/NoTG groups, 3,718 probe sets were differentially expressed but these were over-represented in only 4 pathways. A classic accommodation phenotype was not identified. Using rt-PCR, the expression of inflammatory genes was significantly increased in +XM/TG+ recipients compared to control biopsies and to +XM/NoTG biopsies. In conclusion, pre-transplant DSA results in a gene expression profile characterized by inflammation and cellular infiltration and the majority of XM+ grafts are exposed to chronic injury.
Intragraft gene expression in positive crossmatch kidney allografts: ongoing inflammation mediates chronic antibody-mediated injury.
Specimen part, Time
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