Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

E-GEOD-47399

ABSTRACT: Transcription profiling by high throughput sequencing between ASCC3 knock-down cells and control cells

PROVIDER: E-GEOD-47399 | ExpressionAtlas | 2025-01-24

REPOSITORIES: ExpressionAtlas

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	E-GEOD-47399-analysis-methods.tsv	Tabular
	E-GEOD-47399-analytics.tsv	Tabular
	E-GEOD-47399-analytics.tsv.undecorated	Tabular
	E-GEOD-47399-analytics.tsv.undecorated.unrounded	Tabular
	E-GEOD-47399-analytics.tsv.unrounded	Tabular

Items per page:

1 - 5 of 33

Similar Datasets

gene-expression profiling between UBE2S knock down A375 cells and control A375 cells

Project description:gene-expression profiling between UBE2S knock down A375 cells and control A375 cells

| PRJNA476507 | ENA

High-throughput mRNA-sequence of KSRP knock down cells in HL7702 CELLS

Project description:High-throughput mRNA-sequence of KSRP knock down cells in HL7702 CELLS

| PRJNA699160 | ENA

To explore the relationship between new gene expression / mutation and survival of patients in colorectal cancer

Project description:Interventions: Case vs control:No Primary outcome(s): High-throughput sequencing Study Design: Case-Control study

| 2676067 | ecrin-mdr-crc

Genome-wide maps of chromatin remodeler binding in acute myeloid leukemia cell line.

Project description:We have used chromatin immunoprecipitation followed by high throughput sequencing to map regions of chromatin remodeler binding in Control and KDM6A knock down AML cells. We have used this data to determine KDM6A contribution to chromatin remodeler binding and thus understand its role in leukemogenesis.

2019-01-19 | GSE125310 | GEO

Lineage-Specific Epigenomic and Genomic Activation of Oncogene HNF4A Promotes Gastrointestinal Adenocarcinomas

Project description:We profiled fresh-frozen esophageal tumor and normal samples and cell lines with chromatin immunoprecipitation sequencing (ChIP-Seq). Mathematically modeling was performed to establish (super)-enhancers landscapes and inter-connected transcriptional circuitry formed by master TFs. Coregulation and cooperation between master TFs was investigated by ChIP-Seq, RNASeq, 4C-Seq and luciferase assay. Biological functions of candidate factors were evaluated by measuring cell proliferation, colony formation, cell apoptosis and xenograft growth. Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. Here, we aim to compare of Eso26 cells knock down HNF4A with siRNA and control 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. We also report the application of circular chromatin conformation capture (4C) sequencing technology for studying master transcription factor (HNF4A) in human esophageal adenocarcinoma cancer cell lines (Eso26).

2020-06-14 | GSE132813 | GEO

A Transcriptional Regulatory Loop of Master Regulator Transcription Factors, PPARG, and Fatty Acid Synthesis Promotes Esophageal Adenocarcinoma

Project description:We profiled esophageal adenocarcinoma cell lines with chromatin immunoprecipitation sequencing (ChIP-Seq). Mathematically modeling was performed to establish (super)-enhancers landscapes and inter-connected transcriptional circuitry formed by master TFs. Coregulation and cooperation between master TFs was investigated by ChIP-Seq, RNA-Seq, 4C-Seq and luciferase assay. Biological functions of candidate factors were evaluated by measuring cell proliferation, colony formation, cell apoptosis and xenograft growth. Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. Here, we aim to compare of Eso26 or OE33 cells knock down PPARG with siRNA and control 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. We also report the application of ChIP sequencing technology for studying master transcription factor (PPARG) in human esophageal adenocarcinoma cancer cell lines (Eso26 and OE33).

2020-06-06 | GSE143195 | GEO

SREBF1 coordinates with master transcription factors in regulating lipid metabolism and cancer-promoting pathways in squamous cell carcinoma

Project description:We profiled esophageal squamous cell carcinorma (ESCC) cell lines with chromatin immunoprecipitation sequencing (ChIP-Seq). Mathematically modeling was performed to establish (super)-enhancers landscapes and inter-connected transcriptional circuitry formed by master TFs. Coregulation and cooperation between master TFs was investigated by ChIP-Seq, RNASeq, 4C-Seq and luciferase assay. Biological functions of candidate factors were evaluated by measuring cell proliferation, colony formation, cell apoptosis and xenograft growth. Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. Here, we aim to compare of ESCC cells knock down SREBF1 with siRNA and negative control 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. We also report the application of circular chromatin conformation capture (4C) sequencing technology for studying master transcription factor (SREBF1) in human ESCC cancer cell lines (TE5).

2020-06-15 | GSE143803 | GEO

Transcription profiling by high throughput sequencing of HNRNPC knockdown and control HeLa cells

Project description:Transcription profiling by high throughput sequencing of HNRNPC knockdown and control HeLa cells

| PRJEB3048 | ENA

Spear-ATAC: Pooled, droplet-based, single-cell chromatin accessibility CRISPR screens

Project description:Spear-ATAC is a modified droplet-based single-cell ATAC-seq (scATAC-seq) protocol that enables simultaneous read-out of chromatin accessibility profiles and integrated sgRNA spacer sequences from thousands of individual cells at once. Spear-ATAC profiling of 104,592 cells representing 414 sgRNA knock-down populations across three experiments revealed the temporal dynamics of epigenetic responses to regulatory perturbations in cancer cells and the associations between transcription factor binding profiles, demonstrating a high-throughput method for perturbing and evaluating dynamic single-cell epigenetic states.

2021-03-14 | GSE168851 | GEO

Genome wide transcriptome analysis (RNA-seq) of adult hippocampal neural stem cells in vitro a.k.a. HCN cells in quiescent and proliferative conditions in non-electroporated or electroporated with control empty vector or REST knock-down shRNA vector

Project description:We report the high-throughput transcriptome profiling of induced quiescent (iQNP) and proliferative (TAP) conditions in mammalian adult hippocampal stem cells in culture (HCN cells). By obtaining 145 to 78 million pair-end reads of sequence from isolated RNA from HCN cells in iQNP and TAP conditions. Thereafter, we intersected this gene expression data with REST bound ChIP-seq peaks within +/-10kb of transcription start site of genes also from HCN cells in iQNP and TAP conditions. We find that with +/-10kb of transcription start site of genes, REST efficiently binds neuronal genes and represses them in HCN cells in both iQNP and TAP conditions. Moreover, only in the iQNP REST also binds non-neuronal genes like DNA replication genes. We also report the high-throughput transcriptome profiling of iQNP and TAP condition HCN cells electroporated with a control empty vector or REST knock-down shRNA vector. By obtaining 145 to 78 million pair-end reads of sequence from isolated RNA from HCN cells in electroporated control empty vector or REST knock-down vector in iQNP and TAP conditions. In REST knockdown in iQNP and TAP conditions we found that predominantly non-neuronal genes and neuronal genes were derepressed. This study reveals that in addition to its well known function as a neuronal repressor in non-neuronal tissue, REST can also play other diverse roles in non-neuronal tissues.

2016-11-09 | GSE70696 | 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