Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-Seq analysis of isolated myeloid cells and melanoma cells, B16F10 and YUMM3.3.

ABSTRACT: We evaluated the changes in the transcriptome of spleen and bone marrow isolated myeloid cells in healthy and melanoma bearing animals and melanoma cell lines, B16F10 and YUMM3.3 using RNA-sequencing technologies.

ORGANISM(S): Mus musculus

PROVIDER: GSE215005 | GEO | 2023/02/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

RNA-Seq analysis of melanoma cells, B16F10, in the presence of hypochlorous acid (HOCl)

Project description:We evaluated the changes in the transcriptome of a melanoma cell line, B16F10, and spleen isolated murine T cells when in the presence of hypochlorous acid (HOCl) using RNA-sequencing technologies.

2020-12-30 | GSE164014 | GEO

Effect of BMP2 on B16F10 melanoma cells

Project description:BMP2 treatment significantly reduces growth of B16F10 melanoma spheroids. This experiment analyses the transcriptome changes in B16F10 cells treated with or without BMP2.

2019-01-01 | GSE117074 | GEO

RNAseq of B16F10 melanoma CD31+ cells

Project description:RNAseq of B16F10 melanoma CD31+ cells

| PRJNA606295 | ENA

Expression data from SQ-diEG treated B16F10 cells

Project description:Global gene expression profiling reveals a potential anti-melanoma effect of SQ-diEG in B16F10 cells. Squalene (SQ) was considered as a promising natural agent in anti-cancer treatment due to its strong antioxidant and anti-inflammatory activity; however, its pharmacological value has been largely underestimated because of its poor solubility and bioavailability. To adress this problem, a novel amphiphilic SQ derivative which bearing ethylene glycol oligomers was synthesized and was used as a permeation enhancer in this study to check its potential effect on anti-melanoma using B16F10 cells B16F10 were murine melanoma cells line, treated with 2.5 µM and 40 µM with all samples for 48 h. Microarray gene expression profiling was conducted for two biological replicates

2023-02-06 | GSE224256 | GEO

RNA-Seq analysis of isolated myeloid cells and melanoma cells, B16F10 and YUMM3.3.

Project description:RNA-Seq analysis of isolated myeloid cells and melanoma cells, B16F10 and YUMM3.3.

| PRJNA888065 | ENA

Effect of BMP2 on B16F10 melanoma cells

Project description:Effect of BMP2 on B16F10 melanoma cells

| PRJNA481005 | ENA

Single-Cell Gene Expression Profiling of CD45+ Cells from Tumors and Draining Lymph Nodes in Trp1 CD4+ T Cell-Treated B16F10 Melanoma-Bearing Mice

Project description:CD4+ T cells play a crucial role in tumor eradication. Employing single-cell RNA sequencing (scRNA-seq), we analyzed the cell states of CD45+ immune cells from tumors and draining lymph nodes in Trp1 CD4+ T cell-treated B16F10 melanoma-bearing mice. This investigation aims to enhance our understanding of how CD4 T cells mediate tumor regression.

2023-12-18 | GSE250511 | GEO

Immunostimulatory effect of senescence in B16F10 melanoma cells

Project description:Immunostimulatory effect of senescence in B16F10 melanoma cells

| PRJNA874030 | ENA

Transcriptional changes induced by Lamin A/C downregulation in the nuclei of B16F10 melanoma cells

Project description:Major transcriptional changes (300 differentially expressed genes) take place upon downregulation of Lamin A/C in B16F10 melanoma cells

2021-06-02 | GSE146730 | GEO

RNAseq of B16F10 melanoma CD31+ cells

Project description:Intravasation, vascular dissemination and metastasis of malignant tumor cells require their passage over the vascular wall which is commonly composed of pericytes (mural cells) and the endothelial cell barrier. We currently decided to investigate the relative contribution of these cell types for B16F10 melanoma metastasis in mice using an experimental model of Shb gene inactivation. RNAseq of tumor endothelial cells from these mice revealed changes in cellular components such as adherens junctions and focal adhesions by gene ontology analysis that were in line with the observed effects on leakage and junction morphology.

2020-05-18 | GSE145201 | GEO

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