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Links from GEO DataSets

Items: 20

1.

Expression data from transplanted HCmel3 mouse melanomas relapsing to adoptive T-cell therapy in vivo

(Submitter supplied) Adoptive cell therapies (ACT) with cytotoxic T-cell targeting melanocytic antigens can achieve remissions in metastatic melanoma patients, but tumours frequently relapse. To study the underlying mechanisms of resistance we have generated a genetically engineered mouse melanoma model that faithfully recapitulates tumour regression, remission and relapse as seen in patients. HCmel3 mouse melanoma cells were injected into syngneic C57/BL6 (H-2b) mice. more...
Organism:
Mus musculus
Type:
Expression profiling by array
Platform:
GPL6887
21 Samples
Download data: TXT
Series
Accession:
GSE40213
ID:
200040213
2.

Gene expression in 501mel melanoma cells treated with Salubrinal.

(Submitter supplied) The primary cause of cancer deaths is metastasis. While studies have identified multiple signals that drive invasiveness, the first step in metastatic colonisation, the reason for cells to move away from the primary tumor is less well understood. Salubrinal inhibits an eIF2-alpha phosphatase and consequently leads to increase eIF2-alpha phosphorylation and inhibition of the eIF2B translation initiation factor, leading to reprogramming of translation. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
15 Samples
Download data: TXT
Series
Accession:
GSE86806
ID:
200086806
3.

Gene expression in IGR37 melanoma cells grown in DMEM or after transfer to MEM

(Submitter supplied) The primary cause of cancer deaths is metastasis. While studies have identified multiple signals that drive invasiveness, the first step in metastatic colonization, the reason for cells to move away from the primary tumor is less well understood. The dataset presented here examines the effect of different culture conditions on gene expression by comparing expression of a melanoma cell line in nutrient rich DMEM to MEM. more...
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL10558
12 Samples
Download data: TXT
Series
Accession:
GSE77655
ID:
200077655
4.

The X-linked DDX3X RNA helicase dictates translation re-programming and metastasis in melanoma

(Submitter supplied) The X-linked DDX3X gene encodes an ATP-dependent DEAD-box RNA helicase frequently altered in various human cancers including melanomas. Despite its important roles in translation and splicing, how DDX3X dysfunction specifically rewires gene expression in melanoma remains completely unknown. Here we uncover a DDX3X-driven post-transcriptional program that dictates melanoma phenotype and poor disease prognosis. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18573
8 Samples
Download data: TXT
Series
Accession:
GSE131343
ID:
200131343
5.

MITF regulates SCD and fatty acid saturation to control melanoma phenotypic state.

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
60 Samples
Download data
Series
Accession:
GSE137392
ID:
200137392
6.

Transcriptomics profiling of some commonly used cell lines at the base-line culture condition

(Submitter supplied) In vivo, melanoma cells transition though distinct phenotypic states in response to a changing microenvironment, and most notably can switch between invasive and proliferative phenotypes characterized by high and low levels of MITF activity (Hoek and Goding, 2010; Hoek et al., 2008). Since melanoma cell lines isolated from human tumors tend also to fall into either proliferative or invasive, slow-growing phenotypes (Hoek et al., 2006), it seems likely that established lines reflect specific phenotypic states within tumors, including those detected using single cell RNA-seq, that are then fixed and maintained under nutrient–rich culture conditions where the microenvironmental stresses encountered in vivo are absent. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
24 Samples
Download data: TXT
Series
Accession:
GSE137391
ID:
200137391
7.

Lineage-restricted regulation of SCD and fatty acid saturation by MITF controls melanoma phenotypic plasticity

(Submitter supplied) Phenotypic and metabolic heterogeneity within tumors is a major barrier to effective cancer therapy. Yet how metabolism is implicated in specific phenotypes, and whether lineage-restricted mechanisms control key metabolic vulnerabilities remains poorly understood. In melanoma, down-regulation of the lineage addiction oncogene Microphthalmia-associated Transcription Factor (MITF) is a hallmark of the proliferative-to-invasive phenotype switch, though how MITF promotes proliferation and suppresses invasion is poorly defined. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
36 Samples
Download data: TXT, XLSX
8.

Gene expression profiling of melanoma cell lines by high throughput sequencing

(Submitter supplied) A panel of 29 melanoma cell lines were gene expression profiled by RNA-Seq.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
29 Samples
Download data: TXT
9.

Low MITF/AXL ratio predicts early resistance to multiple targeted drugs in melanoma

(Submitter supplied) Increased MITF expression contributes to melanoma progression and resistance to BRAF pathway inhibition. We show that, unexpectedly, lack of MITF is associated with more severe resistance to a range of inhibitors. Indeed, the presence of endogenous MITF was essential for robust drug responses. Both in primary and acquired resistance, MITF levels inversely correlated with expression of several activated receptor tyrosine kinases, most commonly AXL. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
14 Samples
Download data: TXT
10.

MITF-low melanoma subtype models in zebrafish reveal transcriptional sub-clusters and MITF-independent residual disease

(Submitter supplied) The MITF-low melanoma transcriptional signature is predictive of poor outcome for patients but little is known about its biological signature. We used genetic models of zebrafish with low expression of mitfa (MITF-low) to study this biological subtype. Using genetic inhibition of MITF activity we discover minimal residual disease at the site of regression. We performed single cell RNA-seq (Smart-seq2) to characterise cells at the site of residual disease, and put in relation with primary tumours and recurring disease.
Organism:
Danio rerio
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18413
332 Samples
Download data: TXT
Series
Accession:
GSE136900
ID:
200136900
11.

MITF-low zebrafish melanomas reveal cells with no MITF activity at the site of residual disease

(Submitter supplied) The MITF-low melanoma transcriptional signature is predictive of poor outcome for patients but little is known about its biological signature. We used genetic models of zebrafish with low expression of mitfa (MITF-low) to study this biological subtype. We performed whole bulk RNA-seq to classify zebrafish MITF-low melanoma that cluster mainly by their directionality of growth and assess their resemblance to patients’ MITF-low subgroups. more...
Organism:
Danio rerio
Type:
Expression profiling by high throughput sequencing
Platforms:
GPL20828 GPL18413
140 Samples
Download data: TXT
Series
Accession:
GSE130037
ID:
200130037
12.

RNA-seq of zebrafish melanoma cells after metastatic dissemination

(Submitter supplied) We report how the zebrafish melanoma cell line ZMEL1 changes after intravascular injection into 2dpf zebrafish embryos, as compared to the cells growing in vitro.
Organism:
Danio rerio
Type:
Expression profiling by high throughput sequencing
Platform:
GPL18413
6 Samples
Download data: XLSX
Series
Accession:
GSE90143
ID:
200090143
13.

Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state.

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing; Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL11154
52 Samples
Download data: BW, TXT
Series
Accession:
GSE60666
ID:
200060666
14.

Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state.

(Submitter supplied) Understanding the molecular processes underlying intra-tumor heterogeneity is of critical importance to improve the efficiency of therapy and overcome drug resistance. In malignant melanoma, heterogeneity is though to arise -at least partly- through epigenetic rather than genetic reprogramming of proliferating cells, leading to the appearance within the primary tumors of a phenotypically distinct invasive cell subpopulation. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL11154
11 Samples
Download data: BW
Series
Accession:
GSE60665
ID:
200060665
15.

Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state.

(Submitter supplied) Understanding the molecular processes underlying intra-tumor heterogeneity is of critical importance to improve the efficiency of therapy and overcome drug resistance. In malignant melanoma, heterogeneity is though to arise -at least partly- through epigenetic rather than genetic reprogramming of proliferating cells, leading to the appearance within the primary tumors of a phenotypically distinct invasive cell subpopulation. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL11154
17 Samples
Download data: TXT
16.

Decoding the regulatory landscape of melanoma reveals TEADS as regulators of the invasive cell state.

(Submitter supplied) Understanding the molecular processes underlying intra-tumor heterogeneity is of critical importance to improve the efficiency of therapy and overcome drug resistance. In malignant melanoma, heterogeneity is though to arise -at least partly- through epigenetic rather than genetic reprogramming of proliferating cells, leading to the appearance within the primary tumors of a phenotypically distinct invasive cell subpopulation. more...
Organism:
Homo sapiens
Type:
Genome binding/occupancy profiling by high throughput sequencing
Platform:
GPL11154
24 Samples
Download data: BW
Series
Accession:
GSE60663
ID:
200060663
17.

Expression profiling of WM9 and 1205Lu with shILEI.

(Submitter supplied) We have used lentiviral shRNA vectors to generate pools of melanoma cells (1205Lu and WM9) stably knocked down for ILEI (FAM3C).
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL15207
18 Samples
Download data: CEL
Series
Accession:
GSE95509
ID:
200095509
18.

Transcriptomal analysis of the impact of ASAH1 inhibition on skin metastatic melanoma cells

(Submitter supplied) To assess the impact of ASAH1 inhibition skin metastatic melanoma, we transfected three different human skin metastatic melanoma cell lines (501Mel, WM3912 and WM8) with a siRNA designed against ASAH1 (50nM) or a siRNA control (50nM) for 48h.
Organism:
Homo sapiens
Type:
Expression profiling by array
Platform:
GPL16699
6 Samples
Download data: TXT
Series
Accession:
GSE115385
ID:
200115385
19.

GATA6 gene regulatory network drives multi drug resistance in cutaneous melanoma

(Submitter supplied) Transcriptional co-acticvators inhibition is proving to be a powerful mean against cancer cells that shown a novel hallmarks named transcriptional addiction. This dependecy on co-activars activity lays on their presence in clusters of enhancer regulatory regions called Super-enhancers (SEs) that establish high level of expression of genes important for cancer phisiology such as oncogenes and master transcription factors of the cellular lineage of origin. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
4 Samples
Download data: XLSX
20.

Transcriptome analysis of wild-type and drug-resistance-induced melanoma cell lines

(Submitter supplied) Transcriptional co-acticvators inhibition is proving to be a powerful mean against cancer cells that shown a novel hallmarks named transcriptional addiction. This dependecy on co-activars activity lays on their presence in clusters of enhancer regulatory regions called Super-enhancers (SEs) that establish high level of expression of genes important for cancer phisiology such as oncogenes and master transcription factors of the cellular lineage of origin. more...
Organism:
Homo sapiens
Type:
Expression profiling by high throughput sequencing
Platform:
GPL20301
18 Samples
Download data: XLSX
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