Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Homo sapiens

ABSTRACT: CPEB4 RNA immunoprecipitation and sequencing (RIP-seq) in SK-Mel-103 melanoma cells

PROVIDER: PRJNA305305 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR2980240.fastq.gz	Fastqsanger.gz
	SRR2980241.fastq.gz	Fastqsanger.gz
	SRR2980238.fastq.gz	Fastqsanger.gz
	SRR2980239.fastq.gz	Fastqsanger.gz

Items per page:

1 - 4 of 4

Similar Datasets

Therapy-induced senescence in a human melanoma cancer cell line

Project description:RNA-sequencing of control and senescent (7 day palbociclib) human melanoma SK-MEL-103 cells.

2022-10-19 | GSE208048 | GEO

Melanoma SK-Mel-103 cell line : control vs. treated with pIC/pIC+PEI

Project description:Transcriptional profiling of the melanoma SK-mel-103 comparing control untreated cells with cells treated with 1ug/ml of polyinosine-polycytidylic acid (pIC) or 1ug/ml of pIC with polyethyleneimine (PEI) for 4 or 10 hours. Keywords: Treatment Four-condition experiment, SK-Mel-103 untreated vs. SK-Mel-103 treated with pIC/pIC+PEI at 4 and 10 hours. One replicate per array.

2010-04-08 | E-GEOD-14445 | biostudies-arrayexpress

Genetic and pharmacologic modulation of mitofusins in cellular senescence

Project description:RNA-sequencing of senescent (doxorubicin) human melanoma SK-MEL-103 cells and human fetal lung fibroblast IMR-90 with different interventions

2024-07-15 | GSE236521 | GEO

Homo sapiens

Project description:CUGBP1 RNA immunoprecipitation and sequencing (RIP-seq) in SK-Mel-103 and UACC-62 melanoma cell lines

| PRJNA325307 | ENA

Initiation of Invasion-Metastasis Cascade by DNp73

Project description:The experiment was designed to profile the transcriptome of human melanoma cell lines that differ in their delta ex2/3p73 expression. The differential gene expression of SK-Mel-29 stably overexpressing delta ex2/3p73-cDNA (SK-Mel-29.DNp73) was analyzed in comparison to parental cells with integrated empty vector . The DNp73-related gene expression signature was compared to the transcriptome of SK-Mel-103 and SK-Mel-147 cells with high endogenous DNp73 expression.

2014-05-01 | E-MEXP-3911 | biostudies-arrayexpress

Gene expression comparison in control and DEK oncogene depleted human melanoma cell lines

Project description:Gene expression SK-Mel-103 melanoma cell line to find genes controled by DEK oncogene

2017-12-21 | GSE83614 | GEO

CUGBP1 dependent whole genome gene expression and alternative splicing in melanoma cell lines

Project description:We have identified CUGBP1 dependent regulation of cell cycle and DNA replication/synthesis networks in melanoma cells. This data set we include gene expression and alternative splicing data of control and CUGBP1 depleted melanoma cell lines (SK-Mel-103 and UACC-62).

2017-12-21 | GSE83590 | GEO

Lentiviral shRNA library screen to identify growth-related genes in malignant melanoma

Project description:Little is known about genes that promote melanoma cell growth and proliferation. siRNAs may be used to address the role of individual genesin these processes. RNAi library screens were used in the past to gain a comprehensive overview of all genes involved in cell growth, proliferation, migration and other cellular processes. A large-scale loss-of-function screen for eight different melanoma cell lines was performed using a pooled lentiviral shRNA library (GeneNet Human 50K lentiviral shRNA Library,cat#SI206B-1, System Biosciences) to identify genes relevant for melanoma cell growth and proliferation. shRNAs that lead to cell death or reduced growth of transduced melanoma cells are negatively selected and thereby underrepresented in the final cellular shRNA pool and vice versa. The shRNAs of the shRNA library (3-5 per gene) have complementary sequences to probes on the custom Affymetrix microarray HG-U133Plus2 and were analysed using this array. Well-known melanoma cell lines SK-Mel-103, A375, SK-Mel-147, SK-Mel-19, SK-Mel-28, SK-Mel-29, SK-Mel-5, WM3523cln6 were transduced with the lentiviral shRNA library and grown for 10 days under puromycin selection (day 10), control cells of respective cell lines were transduced and frozen immediately after transduction and genomic integration of shRNAs (day 0). Totel DNA was extracted and genomically integrated shRNAs were hybridized to Affymetrix microarrays (HG-U133Plus2.0 array).

2014-01-24 | E-GEOD-46675 | biostudies-arrayexpress

Melanoma SK-Mel-103 cell line : control vs. treated with pIC/pIC+PEI

2010-01-01 | GSE14445 | GEO

Human, melanoma, p62/SQSTM1, quantitative proteomics

Project description:p62/SQSTM1 was identified as a modulator of metastatic genes selectively enriched in melanoma in autophagy independent manner. iTRAQ quantitative proteomic approach was performed in melanoma cell lines (SK-Mel-103 and UACC-62) deficient for p62 to identify downstream effectors of p62. Similar studies were performed for ATG5, a core component of autophagy, as a reference for autophagy-associated changes in protein abundance. Additionally, melanoma cells were subjected to affinity purification (AP-MS) to identify the interactors of p62. Overall, these studies underscore a novel unexpected role of p62 regulating the stability of prometastatic factors via the interaction with RNA Binding Proteins, thus leading to the inhibition of protein translation.

2022-02-28 | PXD006650 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

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