Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of IFN-γ induced-MMP2/9 inhibition compared to vehicle control cells' Transcriptomes

ABSTRACT: Expression profiles of SB-3CT treated A375 human melanoma cell lines and vehicle control group with or without induced by IFN-γ.

ORGANISM(S): Homo sapiens

PROVIDER: GSE141585 | GEO | 2020/09/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of IFN-γ induced-MMP2/9 inhibition compared to vehicle control cells' Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of IFN-γ induced-MMP2/9 inhibition compared to vehicle control cells' Transcriptomes

| PRJNA594021 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle Control and Vismodegib Treated Tumor Transcriptomes

Project description:Purpose: The goal of this study is to compare transcriptome profiling (RNA-seq) between tumors of mammary tumor bearing mice treated with a vehicle control or FDA approved Hedgehog signaling inhibitor, Vismodegib.

2023-02-01 | GSE146222 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle Control and Vismodegib Treated Tumor Transcriptomes II

2021-11-10 | GSE171168 | GEO

Gene expression changes caused by treatment of A375 cells with A-366 versus DMSO (vehicle)

Project description:We use RNAseq to examine gene expression changes in A375 cells after treatment with A-366 versus DMSO (vehicle) of mScarlet tagged H3.3(wildtype) vs. H3.3(K9M)

2022-01-02 | GSE192612 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle Control and Vismodegib Treated Tumor Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle Control and Vismodegib Treated Tumor Transcriptomes

| PRJNA609731 | ENA

Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle or R-2-HG Treating Mouse Peritoneal Macrophages Transcriptomes

Project description:Purpose: The goals of this study are to screen differentially expressed genes in mouse peritoneal macrophages treated by vehicle or R-2-HG and to explore potential mechanisms of how R-2-HG regulating the process of macrophage activation. Methods: After RNA extraction, purification, and library construction, the samples were paired-end (PE) sequenced by Next-Generation Sequencing using an Illumina sequencing platform (Illumina HiSeq 2500). After sequencing, the filtered high-quality sequences (Clean Data) filtered from the original raw data were mapped to the Mus_musculus GRCm38.p4 (mm10) genome. Based on the mapped results, the expression level of each gene was calculated, and the samples of the different groups were subjected to further analysis for differences in expression, enrichment, and cluster analysis. Results: The mRNA expression levels of only a few genes were changed after R-2-HG treatment in mouse peritoneal macrophages, but HIF1A was not included. Conclusions:Regulating the macrophage activation by R-2-HG may not be due to its effect on gene transcription, and R-2-HG doses not affect the mRNA expression of HIF1A.

2024-07-31 | GSE181340 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle Control and Vismodegib Treated Tumor Transcriptomes II

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle Control and Vismodegib Treated Tumor Transcriptomes II

| PRJNA718581 | ENA

Autophagy facilitates IFN-gamma-induced Jak2-STAT1 activation and cellular inflammation.

Project description:Autophagy is regulated for IFN-gamma-mediated antimicrobial efficacy; however, its molecular effects for IFN-gamma signaling are largely unknown. Here, we show that autophagy facilitates IFN-gamma-activated Jak2-STAT1. IFN-gamma induces autophagy in wild-type but not in autophagy protein 5 (Atg5(-/-))-deficient mouse embryonic fibroblasts (MEFs), and, autophagy-dependently, IFN-gamma induces IFN regulatory factor 1 and cellular inflammatory responses. Pharmacologically inhibiting autophagy using 3-methyladenine, a known inhibitor of class III phosphatidylinositol 3-kinase, confirms these effects. Either Atg5(-/-) or Atg7(-/-) MEFs are, independent of changes in IFN-gamma receptor expression, resistant to IFN-gamma-activated Jak2-STAT1, which suggests that autophagy is important for IFN-gamma signal transduction. Lentivirus-based short hairpin RNA for Atg5 knockdown confirmed the importance of autophagy for IFN-gamma-activated STAT1. Without autophagy, reactive oxygen species increase and cause SHP2 (Src homology-2 domain-containing phosphatase 2)-regulated STAT1 inactivation. Inhibiting SHP2 reversed both cellular inflammation and the IFN-gamma-induced activation of STAT1 in Atg5(-/-) MEFs. Our study provides evidence that there is a link between autophagy and both IFN-gamma signaling and cellular inflammation and that autophagy, because it inhibits the expression of reactive oxygen species and SHP2, is pivotal for Jak2-STAT1 activation.

| S-EPMC2937899 | biostudies-other

Next Generation Sequencing Facilitates Quantitative Analysis of Hedgehog Signaling Blockade on Macrophage Transcriptomes

Project description:Purpose: The goal of this study is to compare transcriptome profiling (RNA-seq) between macrophages inhibited for Hedgehog signaling and vehicle control.

2021-11-10 | GSE146223 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle or R-2-HG Treating Mouse Peritoneal Macrophages Transcriptomes

Project description:Next Generation Sequencing Facilitates Quantitative Analysis of Vehicle or R-2-HG Treating Mouse Peritoneal Macrophages Transcriptomes

| PRJNA751599 | ENA

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