Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Osteosarcoma cell line WGS

ABSTRACT: WGS of commonly used osteosarcoma-derived cell lines

PROVIDER: PRJEB47683 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR6892603_1.fastq.gz	Fastqsanger.gz
	ERR6892603_2.fastq.gz	Fastqsanger.gz
	ERR6892604_1.fastq.gz	Fastqsanger.gz
	ERR6892604_2.fastq.gz	Fastqsanger.gz
	ERR6892605_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 14

Similar Datasets

Canine osteosarcoma cell lines and tissues

Project description:Cell lines and tumor tissues from canine osteosarcomas with accompanying survival and breed data. Comparisons of gene expression between osteosarcoma-derived cell lines and osteosarcoma tissues.

2011-09-07 | E-GEOD-27217 | biostudies-arrayexpress

Expression profiles osteosarcoma cell lines and MET transformed osteoblast clones

Project description:We studied MET-transformed human primary osteoblasts (MET-HOBs), which we previously turned into osteosarcoma cells by LV driven over-expression of MET oncogene. We obtained distinct MET transformed HOB clones derived from independent events of transgene integration. To characterise the phenotype of the MET-HOB clones we used oligonucleotide microarrays. Expression profiles of MET-HOBs and osteosarcoma cell lines were compared.

2013-02-28 | GSE28252 | GEO

Expression profiles osteosarcoma cell lines and MET transformed osteoblast clones

2013-02-28 | E-GEOD-28252 | biostudies-arrayexpress

Transcriptome analysis of UHRF1 KO osteosarcoma cell lines

Project description:We used UHRF1 knockout cell lines and matched controls in human osteosarcoma cell lines to investigate the role of UHRF1 in tumorigenesis. UHRF1 loss drastically decreased cell proliferation and decreased migration, invasion, and metastasis.

2022-09-02 | GSE144416 | GEO

Chromatin accessibility analysis of UHRF1 KO osteosarcoma cell lines

2022-09-02 | GSE144417 | GEO

RNA-Seq of osteosarcoma cell lines

Project description:RNA-Seq of osteosarcoma cell lines

| PRJNA485781 | ENA

Affymetrix CytoscanHD Arrays of 113 Osteosarcoma Samples

Project description:Osteosarcoma (OS) is the most common primary malignant tumor of bone; it occurs most commonly in the metaphyseal regions of long bones in adolescents and young adults. Conventional osteosarcoma is characterized by complex karyotypes with a high degree of aneuploidy and numerous structural aberrations such as copy number alterations (CNAs) and genomic rearrangements. The data comprise of array copy number data (N=113) from pre-therapeutic osteosarcoma. These have been derived from Affymetrix CytoscanHD. The study searches for driver genes and examines cancer evolution. Note (added 8th June 2016): This experiment is extended in an experiment described under accession E-MTAB-4815. It contains data for 97 samples from this experiment are also included in E-MTAB-4815.

2015-11-09 | E-MTAB-3998 | biostudies-arrayexpress

RNA-seq osteosarcoma

Project description:RNA-seq of osteosarcoma cell lines

| PRJEB7574 | ENA

Genome-wide mRNA analysis substantiates high-grade central osteosarcoma cell lines and xenografts as representative for their originating primary tumor type

Project description:Conventional high-grade osteosarcoma is a primary malignant bone tumor, which is most prevalent in adolescence. Survival rates of osteosarcoma patients have not improved significantly in the last 25 years. Aiming to increase this survival rate, a variety of model systems are used to study osteosarcomagenesis and to test new therapeutic agents. Such model systems are typically generated from an osteosarcoma primary tumor, but undergo many changes due to culturing or interactions with a different host species, which may result into differences in gene expression between primary tumor cells, and tumor cells from the model system. We aimed to investigate whether gene expression profiles of osteosarcoma cell lines and xenografts are still comparable to those of the primary tumor. Osteosarcoma can be subdivided into several histological subtypes, of which osteoblastic, chondroblastic, and fibroblastic osteosarcoma are the most frequent ones. Using nearest shrunken centroids classification, we have generated an expression profile that can predict these histological subtypes in both osteosarcoma biopsies (n=66), as well as in two osteosarcoma model systems, i.e. osteosarcoma cell lines (n=13) and xenografts (n=18). Based on the preservation of mRNA expression profiles that are characteristic for the histological subtype we propose that these model systems are representative to the primary tumor from which they are derived.

2011-09-21 | GSE30699 | GEO

Expression profile of ZOS and ZOSM osteosarcoma cell lines

Project description:Pulmonary metastasis is the main cause of medical failure and death of osteosarcoma patients. Despite intensive search for new therapeutic strategies, survival has not improved during the last two decades. Therefore, it’s very urgent to understand the underlying mechanisms of tumor progression to identify targets of novel therapies for osteosarcoma. We used microarrays to identify the metastasis-driving gene during osteosarcoma metastasis Microarrays are performed in ZOS and ZOSM-two syngenic primary human osteosarcoma cell lines with low and high metastatic potential which are established in our lab

2015-08-25 | E-GEOD-55957 | biostudies-arrayexpress

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