Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

DNA methylation analysis in malignant melanoma clinical samples

ABSTRACT: DNA methylation analysis in malignant melanoma clinical samples

PROVIDER: PRJNA588464 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

DNA methylation analysis in malignant melanoma clinical samples [EPIC array]

Project description:Comprehensive DNA methylation analysis in malignant melanoma clinical samples and primary melanocyte culture. Infinium MethylationEPIC BeadChip was used to obtain DNA methylation profiles. Samples included 8 malignant melanoma cases and primary melanocyte culture.

2020-10-22 | GSE140170 | GEO

DNA methylation analysis in malignant melanoma clinical samples [450K array]

Project description:Comprehensive DNA methylation analysis in malignant melanoma clinical samples. Infinium HumanMethylation450 BeadChip was used to obtain DNA methylation profiles across 485,577 CpG sites. Samples included 54 malignant melanoma cases and primary melanocyte culture.

2020-10-22 | GSE140169 | GEO

DNA methylation analysis in malignant melanoma clinical samples [EPIC array]

Project description:DNA methylation analysis in malignant melanoma clinical samples [EPIC array]

| PRJNA588465 | ENA

DNA methylation analysis in malignant melanoma clinical samples [450K array]

Project description:DNA methylation analysis in malignant melanoma clinical samples [450K array]

| PRJNA588466 | ENA

Transcription profiling of human tissue samples to identify novel genes associated with malignant melanoma but not benign melanocytic lesions

Project description:A number of melanoma specific genes were identified to differentiate clinical relevant tissue samples containing benign from malignant melanocytes. Experiment Overall Design: 7 normal skin, 18 nevi and 45 melanoma samples

2007-09-06 | E-GEOD-3189 | biostudies-arrayexpress

Novel genes associated with malignant melanoma but not benign melanocytic lesions

2005-08-25 | GSE3189 | GEO

DNA methylation analysis in malignant melanoma clinical samples

Project description:This SuperSeries is composed of the SubSeries listed below.

2020-10-22 | GSE140171 | GEO

Genome-wide promoter methylation analysis associated with malignant melanoma progression

Project description:Epigenetic alterations play significant roles in the melanoma tumorigenesis and malignant progression. We profiled genome-wide promoter DNA methylation patterns of melanoma cells deribed from primary lesions of Radial Growrth phase (RGP) and Vertical Growth Phase (VGP), metastatic lesions, and primary normal melanocytes by interrogating 14,495 genes using Illumina bead chip technology. By comparative analysis of the promoter methylation profiles, we identified epigenetically silenced gene signatures that potentially associated with malignant melanoma progression. Bisulphite converted genomic DNA from a group of melanoma cells representing pathologic stages of melanoma progression (3 cell lines derived from RGP melanoma lesions, 4 cell lines derived from VGP lesions, and 3 melastatic melanomas) and normal human primary melanocytes isolated from lightly pigmented adult skin were hybridized to Illumina's Infinium HumanMethylation27 BeadChips

2013-12-20 | E-GEOD-53516 | biostudies-arrayexpress

Study of Blood Samples From Patients With Malignant Melanoma, Metastatic Breast Cancer, Advanced Lung Cancer, Pancreatic Cancer, or Colorectal Cancer.

Project description:RATIONALE: Studying samples of blood from patients with cancer in the laboratory may help doctors learn more about changes that occur in peptides and proteins and identify biomarkers related to cancer. PURPOSE: This research study is looking at blood samples from patients with malignant melanoma, metastatic breast cancer, advanced lung cancer, pancreatic cancer, or colorectal cancer.

| 2077830 | ecrin-mdr-crc

Affymetrix CytoScan HD and OncoScan array data for malignant melanoma samples

Project description:Malignant melanoma is a highly metastatic disease disseminating to several distant sites. This potential is also of great clinical impact for patient survival and therapeutic success. Knowledge about melanoma genomics is mainly based on lymphatic or skin metastases derived data, whereas data from distant sites is rather limited. Therefore, an autopsy-based visceral metastasis biobank was established and an array-based CNV analysis was performed focusing primarily on major organs (brain, lung and liver) on a total of 38 samples (10 primary and 28 organ metastasse). A unique picture emerged about organ specific CNV type distributions or gene alterations including the frequent loss of DNA damage error genes in brain metastases, the presence of HGF/MET autocrine loop in brain and lung metastases, the traces of immunogenic mimicry exclusive for lung metastases or the correlation of BRAF copy number and mutant allele frequency especially in lung metastases. All these above phenomena have a great influence on therapy efficacy or resistance.

2021-12-15 | GSE185165 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data