Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-GEOD-40517

ABSTRACT: Transcriptome analysis of si-Med23 and si-Elk1 A549 cells

OTHER RELATED OMICS DATASETS IN: PRJNA174207

PROVIDER: E-GEOD-40517 | ExpressionAtlas | 2015-08-19

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-GEOD-40517-analysis-methods.tsv	Tabular
	E-GEOD-40517-atlasExperimentSummary.Rdata	Rdata
	E-GEOD-40517-configuration.xml	Xml
	E-GEOD-40517-percentile-ranks.tsv	Tabular
	E-GEOD-40517.condensed-sdrf.tsv	Tabular

Items per page:

1 - 5 of 71

Similar Datasets

RNA sequencing of in vitro generated suppressive myeloid cells using parental and Sialidase expressing A549 cancer cell lines

Project description:Fresh peripheral blood mononuclear cells of four human donors were cultured together with either lung adenocarcinoma A549 cancer cells or A549-expressing H1N1 Sialidase cancer cells. These treatments induced the differentiation of donor cells into immunosuppressive MDSC-like cells, which were further subjected to bulk RNA sequencing. Computational analysis of RNA-Seq profiles of these cells was applied to understand the differences in their suppressive capacities.

| EGAS00001007618 | EGA

Transcriptome analysis of A549 cells upon LITATS1 knockdown

Project description:Transcriptome analysis of A549 cells upon LITATS1 knockdown

| PRJNA814810 | ENA

Single-cell analysis reveals dynamic changes of A549 cells in monolayer, A549 xenografts in nude mice, and xenografts after exposure to dacomitinib

Project description:The in vitro A549 cells, and A549 xenografts in nude mouse were two classic and commonly used models for anti-cancer drug discovery. Here dynamic changes of the A549 models, and also A549 xenografts after exposure to dacomitinib were revealed by single-cell transcriptome analysis.

2023-12-01 | GSE220435 | GEO

Transcriptome profiling of control cells or the A549 cells in the presence or absence of acetate following TGF-β1 stimulation

Project description:Purpose: To compare the transcriptome profiling of control cells or the A549 cells in the presence or absence of acetate following TGF-β1 stimulation. Methods: A549 cells were treated with control, TGF-β1 or TGF-β1 plus acetate for 2 days. And then, we performed RNA sequencing for transcription profiling of control cells or the A549 cells in the presence or absence of acetate following TGF-β1 stimulation. The raw data were processed with bcl2fastq software and HISAT2. Results: From the transcriptome profiling and analysis, we got gene expression data of control group and in the presence or absence of acetate following TGF-β1 stimulation using A549 cells. Conclusion: The gene expression data revealed the transcriptome variation by TGF-β1 treatment and acetate can reverse TGF-β1 effect.

2022-06-14 | GSE197132 | GEO

Transcriptome sequencing of A549 cells

Project description:Transcriptome sequencing of A549 cells

| PRJNA901171 | ENA

A549 cells and MSR-A549 cells

Project description:A549 cells and MSR-A549 cells

| PRJNA379619 | ENA

Homo sapiens

Project description:Gene expression analysis in A549 cells

| PRJNA138993 | ENA

A TGFbeta-PRMT5-MEP50 Axis Regulates Cancer Cell Invasion through Histone H3 and H4 Arginine Methylation Coupled Transcriptional Activation and Repression

Project description:We sequenced mRNA from 3 biological replicates each of A549 lung adenocarcinoma cell lines expressing shRNA against GFP (control), PRMT5, or MEP50. We then determined differential gene expression. Transcriptome analysis of mRNA testing the role of PRMT5 and MEP50 by knockdown in A549 human lung adenocarcinoma cells

2016-06-09 | E-GEOD-80182 | biostudies-arrayexpress

Comparison of gene expression profiles of A549 cell treated with NRF2 siRNA and control siRNA

Project description:To examine the role of NRF2 in accelerating cell proliferation and to identify the target genes responsible for this function, transcriptome analysis was performed using A549 cells, in which NRF2 is constitutively activated. NRF2 was knocked down by siRNA against NRF2, and the gene expression profile was compared with that of A549 cells treated with control siRNA. To exclude off-target effects, three different siRNAs against NRF2 was independently applied. NRF2 siRNA or control siRNA was transfected into A549 cells. Cells were harvested 24 hours after transfection, and total RNA was purified.

2011-04-01 | E-GEOD-28230 | biostudies-arrayexpress

Transcriptome analysis of A549 cells upon lncRNA ectopic LETS1 expression

Project description:Transcriptome analysis of A549 cells upon lncRNA ectopic LETS1 expression

| PRJNA838928 | ENA