Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Analysis of Control and SETDB1-KO H1299 cell Transcriptomes

ABSTRACT: This study compared NGS-derived transcriptome profiling (RNA-seq) of control and SETDB1 knockout H1299 cells to understand SETDB1-mediated transcription regulation in NSCLC cells.

ORGANISM(S): Homo sapiens

PROVIDER: GSE200006 | GEO | 2023/03/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Expression data from NCI-H1299 and NCI-H1299/CDDP cells

Project description:Non-small cell lung cancer (NSCLC) patients are prone to drug resistance during chemotherapy. Therefore, in order to compare the changes in the gene expression profiles of NSCLC cells before and after drug resistance, we constructed cisplatin-resistant cells (NCI-H1299/CDDP), and compared the gene expression profiles with those of the parental NCI-H1299 cells. We used microarrays to study in detail the global gene expression changes before and after drug resistance in NSCLC cells and identified genes that were up- or down-regulated during this process.

2024-01-14 | GSE252795 | GEO

MicroRNA expression data from H1299 cells

Project description:We explored the biological effects of AGO2 downregulation on the expression of miRNAs in human NSCLC cells. Using AGO2 siRNA as a positive control, we overexpressed miR-138 in H1299 cells to observe changes in the miRNA profile using an miRNA microarray assay. Total RNAs were extracted from H1299 cells transfected with NC, AGO2 siRNA or miR-138 for 48h. Their microRNAs expression profiles were investigated using LCSciences Human miRNA Array platform (LCSciences, Houston, TX; Sanger mirBase Release 19.0).

2015-06-05 | E-GEOD-69561 | biostudies-arrayexpress

MicroRNA expression data from H1299 cells

2015-06-05 | GSE69561 | GEO

Next Generation Sequencing to Facilitate Quantitative Analysis of wild type, setdb1 GLKD, wde GLKD, and hp1a GLKD transcriptomes [RNA-seq]

Project description:Comparison of wild type, setdb1 GLKD, wde GLKD, and hp1a GLKD reveals loss of H3K9me3 chromatin modifiers derepresses spermatogenesis genes

2018-09-07 | GSE109850 | GEO

Next Generation Sequencing to Facilitate Quantitative Analysis of wild type, setdb1 GLKD and snf[148] ovary H3K9me3 binding profiles [ChIP-seq]

Project description:Comparison of wild type, setdb1 GLKD, and snf[148] H3K9me3 profiles shows that SXL facilitates H3K9me3 deposition on SETDB1 regulated genes

2018-09-07 | GSE109851 | GEO

Hypoxia stabilizes SETDB1 to maintain genome stability

Project description:Von Hippel-Lindau (VHL) is a tumor suppressor that functions as the substrate recognition subunit of the CRL2VHL E3 complex. While substrates of VHL have been identified, its tumor suppressive role remains to be fully understood. For further determination of VHL substrates, we analyzed the physical interactome of VHL and identified the histone H3K9 methyltransferase SETBD1 as a novel target. SETDB1 undergoes oxygen-dependent hydroxylation by prolyl hydroxylase domain proteins (PHD) and the CRL2VHL complex recognizes hydroxylated SETDB1 for ubiquitin-mediated degradation. Under hypoxic conditions, SETDB1 accumulates by escaping CRL2VHL activity. Loss of SETDB1 in hypoxia compared with that in normoxia escalates the production of transposable element (TE)-derived double-stranded RNAs (dsRNAs), thereby hyperactivating the immune-inflammatory response. In addition, strong derepression of TEs in hypoxic cells lacking SETDB1 triggers DNA damage-induced death. Our collective results support a molecular mechanism of oxygen-dependent SETDB1 degradation by the CRL2VHL E3 complex and reveal a role of SETDB1 in genome stability under hypoxia.

2024-01-26 | PXD037104 | Pride

Next Generation Sequencing Facilitates Quantitative Analysis of Normal Human Kidney Transcriptomes

Project description:Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived normal human kidney transcriptome profiling (RNA-seq) to microarray and quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis The kidney tissue was immediately placed and stored in RNAlater® (Ambion), according to the manufacturer’s instruction. The tissue was manually microdissected under microscope in RNAlater® pool for glomerular and tubular compartment. Dissected tissue was homogenized and RNA was prepared using RNAeasy mini columns (Qiagen, Valencia, CA, US), according to the manufacturer’s instructions. RNA quality and quantity were determined using the Laboratory-on-Chip Total RNA PicoKit Agilent BioAnalyzer. Only samples without evidence of degradation were further used (RNA Integrity Number >6).

2014-08-06 | E-GEOD-60119 | biostudies-arrayexpress

Expression data from EGR1-transfected H1299 cells vs normal H1299 cells

Project description:The functions of EGR1, a multifunctional transcription factor, in prostate cancer are well documented. However, little is known about the functions of EGR1 in lung cancer. we observed the function of EGR1 in non-small cell lung carcinoma (NSCLC) and identified the genes that influence cell fate and tumor development. We used microarrays to detail the global programme of gene expression and identified genes differentially expressed when EGR1-overexpressed. We have demonstrated that EGR1 is able to increase cell apoptosis, and inhibit metastasis. And we sought to find genes distributed to decrease the malignancy of human non-small cell lung cancer regulated by EGR1. To that end, H1299 cells were transfected either EGR1 or pcDNA3.1. After 48h, cells were collected for RNA extraction and hybridization on Affymetrix microarrays (PEGR1 VS PCDNA3.1).

2013-09-17 | E-GEOD-50913 | biostudies-arrayexpress

Whole genome gene expression profiles of H1299-shNaa10 and H1299-shRNA negative control

Project description:Whole genome gene expression profiles of H1299-shNaa10 and H1299-shRNA negative control

2016-10-07 | GSE87674 | GEO

Identification of Setdb1 interaction proteins in neural stem cells

Project description:Setdb1 is an epigenetic factors catalyzing modification of H3K9me3. Expression of its gene is localized to embryonic neural cells during vertebrate embryogenesis, suggesting its role in regulating neural stemness. The project is to identify the interaction partners of Setdb1, by which Setdb1 regulates neural stemness in neural stem cells.

2022-08-12 | PXD030453 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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