Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression in H82R cells

ABSTRACT: Gene expression in H82R cells

PROVIDER: PRJNA672789 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR12914725_1.fastq.gz	Fastqsanger.gz
	SRR12914725_2.fastq.gz	Fastqsanger.gz
	SRR12914726_1.fastq.gz	Fastqsanger.gz
	SRR12914726_2.fastq.gz	Fastqsanger.gz
	SRR12914727_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Gene expression analaysis of the lateral spreading tumor

Project description:Primary outcome(s): Gene expression of targeted genes

| 2625389 | ecrin-mdr-crc

Differential Protein and Gene Expression in Endocrine and Neuroendocrine Tumors (NET)

Project description:Interventions: Group 1: Quantitative Expression Analysis of the proteom and gene Expression of Primary Tumor, normal tissue, and metastases Primary outcome(s): Disease associated Proteins and Genes Study Design: Allocation: ; Masking: ; Control: ; Assignment: ; Study design purpose: basic science

| 2431957 | ecrin-mdr-crc

The clinical study to investigate between immune and gene-expression profile and clinical significance

Project description:Primary outcome(s): The clinical significance of immune and gene-expression profile in colorectal cancer

| 2659791 | ecrin-mdr-crc

Gene expression

Project description:Gene expression. Milan samples.

| EGAD00010001864 | EGA

Gene expression in Mist1+ cells

Project description:Gene expression in Mist1+ cells

| PRJNA438603 | ENA

Single-cell RNA sequencing dissects gene-environment interactions on gene expression and regulation in immune cells.

Project description:This study aims to dissect gene-environment interactions on gene expression and regulation in immune cells using scRNA-seq data from 120 donors being stimulated with 3 pathogens, for 2 different timepoints. More specifically, we identified context- and cell-type-specific eQTLs and co-expression QTLs in PBMCs.

| EGAS00001005376 | EGA

Silencing mitochondrial gene expression in living cells – FLAG IPs

Project description:Mitochondria fullfill central functions in cellular metabolism and energy supply. They express their own genome, which encodes key subunits of the oxidative phosphorylation system. However, central mechanisms underlying mitochondrial gene expression remain enigmatic. A lack of suitable technologies to target mitochondrial protein synthesis in living cells has limited experimental access. Here, we silence the translation of specific mitochondrial mRNAs in living cells by delivering synthetic peptide-morpholino chimeras. This approach allows comprehensive temporal monitoring of cellular responses. Our study provides insights into mitochondrial translation, its integration into cellular physiology, and represents an innovative strategy to address mitochondrial gene expression in living cells. The tools that we present can readily be applied to analyze the mechanisms and pathophysiology of mitochondrial gene expression in a broad range of cellular model systems.

2025-04-17 | PXD061877 | Pride

Gene Expression in Patients With Advanced or Metastatic Colorectal Cancer Receiving Bevacizumab

Project description:RATIONALE: Studying samples of tumor tissue from patients with cancer in the laboratory may help doctors learn more about changes that occur in DNA and identify biomarkers related to cancer. It may also help doctors understand how patients respond to treatment. PURPOSE: This laboratory study is looking at gene expression in patients with advanced or metastatic colorectal cancer receiving bevacizumab.

| 2072025 | ecrin-mdr-crc

Gene Expression Analysis of Patients With Metastatic Colorectal Cancer Receiving Oxaliplatin Based Chemotherapy Regimen

Project description:1.1 To collect pathological tumor specimens of patients with metastatic colorectal cancer in a prospective fashion for correlative studies of response to an oxaliplatin based chemotherapy regimen. 1.2 To determine a gene expression profile that predicts response to an oxaliplatin based chemotherapy regimen in this cohort of patients.

| 2023242 | ecrin-mdr-crc

Multiple Sclerosis risk variants regulate gene expression in innate and adaptive immune cells

Project description:Each of at least 200 single nucleotide polymorphisms (SNPs) have been confirmed to be associated with individually small increases in the risk of Multiple Sclerosis (MS). A key function that could mediate SNP encoded MS risk is their regulatory effects on gene expression or splicing. Transcriptomic profiling was performed using Affymetrix gene-expression microarrays, using RNA extracted from purified human peripheral blood monocytes, CD4 and CD8 positive lymphocyte cells, B-lymphocyte cells and Natural Killer cells from 73 untreated MS cases and 97 healthy controls. Cis expression quantitative trait locus (eQTL) mapping studies were performed in each cell type separately to characterize MS risk loci associated with gene expression change.

| EGAS00001004087 | EGA

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