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GSE19298
Danio rerio
12 Downloadable Samples
Affymetrix Zebrafish Genome Array (zebrafish)
Description
It is well-established that neurons in the adult mammalian central nervous system are terminally differentiated and, if injured, will be unable to regenerate their connections. In contrast to mammals, zebrafish and other teleosts display a robust neuroregenerative response. Following optic nerve crush (ONX), retinal ganglion cells (RGC) regrow their axons to synapse with topographically correct targets in the optic tectum, such that vision is restored in ~21 days. What accounts for these differences between teleostean and mammalian responses to neural injury is not fully understood. A time course analysis of global gene expression patterns in the zebrafish eye after optic nerve crush can help to elucidate cellular and molecular mechanisms that contribute to a successful neuroregeneration.
Publication Title
Time Course Analysis of Gene Expression Patterns in Zebrafish Eye During Optic Nerve Regeneration.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 21 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
The purpose of the experiment was to generate a time course of gene expression following irradiation. The goal was then to model this data to extract hidden variables - chiefly, the activity profiles of the p53 transcription factor. Using this information the aim was to predict which transcripts changed by IR were targets of p53. Cells in log phase (1 x 106 ml-1) were ?-irradiated with 5 Gy at room temperature (RT) at a dose rate of 2.45 Gy per minute with a 137Cs ?-irradiator. Cells were harvested at 0, 2, 4, 6, 8, 10 and 12 hours, and RNA and protein were extracted (Trizol, Invitrogen). Affymetrix U133A arrays were hybridized as standard (www.affymetrix.co.uk). Array quality was determined using R and GCOS .rpt file values. The time course was replicated three times from independent cell preparations.
Publication Title
Ranked prediction of p53 targets using hidden variable dynamic modeling.
Sample Metadata Fields
Specimen part, Disease, Cell line, Time
View Samples- Homo sapiens
- 44 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
We implemented an optimized processing, using alternative Chip Description Files (CDFs) and fRMA normalization, which improve the quality of downstream analysis.
Publication Title
Accurate data processing improves the reliability of Affymetrix gene expression profiles from FFPE samples.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Cellular plasticity confers cancer cells the ability to adapt to micro-environmental changes, a fundamental requirement for tumour progression and metastasis. The epithelial to mesenchymal transition (EMT) is a transcriptional programme associated with increased cell motility and stemness. Beside EMT, the mesenchymal to amoeboid transition (MAT) has been described during tumour progression but, to date, little is known about its transcriptional control and involvement in stemness. The aim of this study is to investigate (i) the transcriptional profile associated with the MAT programme and (ii) to study whether MAT acquisition in melanoma cancer cells correlate with clonogenic potential to promote tumor growth. Our results demonstrate that MAT programme in melanoma is characterised by increased stemness and clonogenic features of cancer cells, thus sustaining tumour progression. Furthermore, these data suggest that stemness is not an exclusive feature of cells undergoing EMT, but more generally is associated with an increase in cellular plasticity of cancer cells.
Publication Title
Mesenchymal to amoeboid transition is associated with stem-like features of melanoma cells.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 12 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Integrated gene and miRNA expression analysis of prostate cancer associated fibroblasts supports a prominent role for interleukin-6 in fibroblast activation.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 12 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
Tumor microenvironment coevolves with and simultaneously sustains cancer progression. Reactive fibroblasts found in prostate cancer (PCa), known as cancer associated fibroblasts (CAF), have been indeed shown to fuel tumor development and metastasis by mutually interacting with PCa cells. Little is known about the molecular mechanisms that lead to activation of CAFs from tissue-resident fibroblasts, circulating marrow-derived fibroblast progenitors or mesenchymal stem cells. Through integrated gene and microRNA expression profiling, here we showed that transcriptome of CAFs isolated from prostate tumors strictly resembles that of normal fibroblasts stimulated in vitro with interleukin-6 (IL6), thus confirming the capability of the cytokine to promote acquisition of an activated and cancer-promoting phenotype, and, for the first time, proving that IL6 is able per se to induce all the complex transcriptional changes characteristic of patient-derived CAFs. Comparison with publicly available datasets, however, suggested that prostate CAFs may be alternatively characterized by IL6 and TGF-related signatures, indicating that either signal, depending on the context, tumor stage and etiology, may concur to fibroblast activation. Our analyses also highlighted pathways relevant for induction of reactive stroma, including genes the role of which in fibroblast activation is still to be explored. In addition, we revealed a role for muscle-specific miR-133b as a soluble factor secreted by activated fibroblasts to support paracrine activation of non-activated fibroblasts or promote tumor progression. Overall, in this study we provided insights on the molecular mechanisms driving fibroblast activation in prostate cancer, thus contributing to identify novel hits for the development of therapeutic strategies targeting the crucial interplay between tumor cells and their microenvironment. Tumor microenvironment coevolves with and simultaneously sustains cancer progression. Reactive fibroblasts found in prostate cancer (PCa), known as cancer associated fibroblasts (CAF), have been indeed shown to fuel tumor development and metastasis by mutually interacting with PCa cells. Little is known about the molecular mechanisms that lead to activation of CAFs from tissue-resident fibroblasts, circulating marrow-derived fibroblast progenitors or mesenchymal stem cells. Through integrated gene and microRNA expression profiling, here we showed that transcriptome of CAFs isolated from prostate tumors strictly resembles that of normal fibroblasts stimulated in vitro with interleukin-6 (IL6), thus confirming the capability of the cytokine to promote acquisition of an activated and cancer-promoting phenotype, and, for the first time, proving that IL6 is able per se to induce all the complex transcriptional changes characteristic of patient-derived CAFs. Comparison with publicly available datasets, however, suggested that prostate CAFs may be alternatively characterized by IL6 and TGF-related signatures, indicating that either signal, depending on the context, tumor stage and etiology, may concur to fibroblast activation. Our analyses also highlighted pathways relevant for induction of reactive stroma, including genes the role of which in fibroblast activation is still to be explored. In addition, we revealed a role for muscle-specific miR-133b as a soluble factor secreted by activated fibroblasts to support paracrine activation of non-activated fibroblasts or promote tumor progression. Overall, in this study we provided insights on the molecular mechanisms driving fibroblast activation in prostate cancer, thus contributing to identify novel hits for the development of therapeutic strategies targeting the crucial interplay between tumor cells and their microenvironment. Tumor microenvironment coevolves with and simultaneously sustains cancer progression. Reactive fibroblasts found in prostate cancer (PCa), known as cancer associated fibroblasts (CAF), have been indeed shown to fuel tumor development and metastasis by mutually interacting with PCa cells. Little is known about the molecular mechanisms that lead to activation of CAFs from tissue-resident fibroblasts, circulating marrow-derived fibroblast progenitors or mesenchymal stem cells. Through integrated gene and microRNA expression profiling, here we showed that transcriptome of CAFs isolated from prostate tumors strictly resembles that of normal fibroblasts stimulated in vitro with interleukin-6 (IL6), thus confirming the capability of the cytokine to promote acquisition of an activated and cancer-promoting phenotype, and, for the first time, proving that IL6 is able per se to induce all the complex transcriptional changes characteristic of patient-derived CAFs. Comparison with publicly available datasets, however, suggested that prostate CAFs may be alternatively characterized by IL6 and TGF-related signatures, indicating that either signal, depending on the context, tumor stage and etiology, may concur to fibroblast activation. Our analyses also highlighted pathways relevant for induction of reactive stroma, including genes the role of which in fibroblast activation is still to be explored. In addition, we revealed a role for muscle-specific miR-133b as a soluble factor secreted by activated fibroblasts to support paracrine activation of non-activated fibroblasts or promote tumor progression. Overall, in this study we provided insights on the molecular mechanisms driving fibroblast activation in prostate cancer, thus contributing to identify novel hits for the development of therapeutic strategies targeting the crucial interplay between tumor cells and their microenvironment.
Publication Title
Integrated gene and miRNA expression analysis of prostate cancer associated fibroblasts supports a prominent role for interleukin-6 in fibroblast activation.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 6 Downloadable Samples
- Illumina HumanRef-8 v3.0 expression beadchip
Description
In this study we obtained gene expression profiles of MCFS and parental MCF7 cell lines using Illumina microarrays
Publication Title
In-depth characterization of breast cancer tumor-promoting cell transcriptome by RNA sequencing and microarrays.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 3 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Protein C (PC) deficiency increases the risk of venous thrombosis (VT) among members of Kindred Vermont II, but fails to fully account for the inheritance pattern. A genome scan of the pedigree supported the presence of a prothrombotic gene on chromosome 11q23 with weaker support on chromosomes 10p12 and 18p11.2-q11.
Publication Title
Cell adhesion molecule 1: a novel risk factor for venous thrombosis.
Sample Metadata Fields
Sex, Age, Specimen part, Race
View Samples- Homo sapiens
- 144 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject, Time
View Samples- Homo sapiens
- 60 Downloadable Samples
- Illumina HumanHT-12 V3.0 expression beadchip
Description
The study outcome was to evaluate the effect of the time on normal colon mucosa samples and possibly select specific genes whose expression is time-related, that could be used as detectors of tissue degradation.
Publication Title
Effects of warm ischemic time on gene expression profiling in colorectal cancer tissues and normal mucosa.
Sample Metadata Fields
Specimen part, Disease, Disease stage, Subject, Time
View Samples