Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression of miRNA in exosomes from transudative pleural effusion and tuberculous pleural effusions

ABSTRACT: Expression of miRNA in exosomes from transudative pleural effusion and tuberculous pleural effusions

PROVIDER: PRJNA722251 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR14243852.fastq.gz	Fastqsanger.gz
	SRR14243853.fastq.gz	Fastqsanger.gz
	SRR14243854.fastq.gz	Fastqsanger.gz
	SRR14243855.fastq.gz	Fastqsanger.gz
	SRR14243856.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Expression of miRNA in exosomes from transudative pleural effusion and tuberculous pleural effusions

Project description:Pleural fibrosis is defined as an excessive deposition of extracellular matrix (ECM) that results in destruction of the normal pleural tissue architecture and compromised function. However there is currently no effective medication for pleural fibrosis. Understanding the detailed mechanisms of pleural fibrosis is an important unmet need which could lead to the identification of new targets for treatment of this condition. microRNAs (miRNAs) play an important role in the posttranscriptional control of gene expression. In our study, cellular fractions from TBPE contained activities capable of promoting fibrosis-like behavior in pleural mesothelial cells (PMCs), the goal of this study is to compare the exosomal miRNA composition of TBPE and TPE. We isolated exosomes from transudative pleural effusion and tuberculous pleural effusions and performed miRNA sequencing. Our study represents the first detailed analysis of exosomal miRNA composition of TBPE and TPE with biologic replicates, generated by miRNA-Seq technology.

2024-04-14 | GSE172150 | GEO

CircRNA_051778 in Exosomes as A Potential Biomarker for Distinguishing Lung Adenocarcinoma-Associated Malignant Pleural Effusion from Tuberculous Pleural Effusion

Project description:We profiled the exosomal circRNA in lung adenocarcinoma-associated malignant (LA-MPE) and tuberculous (TPE) pleural effusion samples by circRNA microarray to determine the potential functions and diagnostic value of the differential expressed circRNAs (DECs)

2022-04-01 | GSE171540 | GEO

Microarray expression profiles of circular RNA in malignant pleural effusion

Project description:To explore the expression pattern of circular RNAs (circRNAs) and their biological functions in malignant pleural effusion, we surveyed the circRNA expression profiles of 3 lung adenocarcinoma-associated malignant pleural effusion (LA-MPE) and 3 tuberculous pleural effusion (TPE) from clinical patients using Clariom D human microarray.

2023-05-01 | GSE122427 | GEO

CircRNA_051778 in Exosomes as A Potential Biomarker for Distinguishing Lung Adenocarcinoma-Associated Malignant Pleural Effusion from Tuberculous Pleural Effusion

Project description:CircRNA_051778 in Exosomes as A Potential Biomarker for Distinguishing Lung Adenocarcinoma-Associated Malignant Pleural Effusion from Tuberculous Pleural Effusion

| PRJNA719996 | ENA

Human pleural effusion LC-MSMS

Project description:We screened pleural effusion proteomes of mesothelioma and lung adenocarcinoma patients to identify novel soluble mesothelioma biomarkers. We performed quantitative mass spectrometry-(MS-) based proteomics using isobaric tags for relative and absolute quantification (iTRAQ) and used narrow range immobilized pH gradient/high resolution isoelectric focusing (IPG/HiRIEF; pH 4 to 4.25) prior to analysis by nano liquid chromatography-coupled MS/MS. Pleural effusions from patients with malignant mesothelioma (n=6), lung adenocarcinoma (n=6), or benign mesotheliosis (n=7) were analyzed, and more than 1,300 proteins were identified.

2014-01-14 | PXD000531 | Pride

Mapping the soluble human leukocyte antigen peptidome of pleural effusions reveals lung and tumor-associated antigens

Project description:Soluble HLA (sHLA) molecules released to the plasma, carry their original peptide cargo and provide insight into the protein synthesis and degradation schemes of their source cells and tissues. Other body fluids, such as pleural effusions, may also contain sHLA-peptide complexes, and can potentially serve as a source of tumor antigens since these fluids are drained from the tumor microenvironment. Thus, we developed a methodology for purifying and analysing large pleural effusion sHLA class I peptidomes of patients inflicted with malignancies or benign diseases. The cleared pleural fluids, the cell pellets present in the pleural effusions, and the primary tumor cells cultured from cancer patients’ effusions, were used for immunoaffinity purification of the HLA molecules. The recovered HLA peptides were analyzed by capillary chromatography coupled to tandem mass spectrometry and the resulting LC-MS/MS data was analyzed with the MaxQuant software tool. Large HLA peptidomes were obtained by the analysis of the pleural effusions. The majority of peptides identified from the pleural effusions were defined as HLA ligands that fit the patients’ HLA consensus sequence motifs. The membranal and soluble HLA peptidomes of each individual patient were somewhat similar to each other. Many of the HLA peptides were derived from known tumor-associated antigens, lung-related proteins, and VEGF pathway proteins. Thus, the pleural effusion HLA peptidome of patients with malignant tumors can serve as a rich source of biomarkers for tumor diagnosis and personalized immunotherapy.

2022-05-25 | PXD027766 | Pride

Pleural effusion

Project description:Pleural effusion Raw sequence reads

| PRJNA692057 | ENA

Metagenome of pleural effusion

Project description:Metagenome of pleural effusion

| PRJNA906763 | ENA

Quantitative proteomics revealed novel protein biomarkers to distinguish malignant pleural effusion from benign pleural effusion

Project description:A four-dimensional independent data acquisition (4D-DIA) proteomic was performed to determine the differentially expressed proteins in pleural effusion samples collected from ung adenocarcinoma MPE, BPE (tuberculosis pleural effusion (TPE) and parapneumonic effusion (PPE)).

2024-03-08 | PXD050477 |

The cellular landscape of breast cancer associated malignant pleural effusions

Project description:Malignant pleural effusions (MPE) are a common complication of advanced cancers, particularly those adjacent to the pleura such as lung and breast cancer and are a frequent complication in metastatic disease. The pathophysiology of MPE formation in advanced breast cancer remains poorly understood, and their composition and biology are understudied. To characterise the phenotypic diversity of malignant pleural effusion, we performed single-cell RNA sequencing on 10 MPEs from 7 metastatic breast cancer patients with diverse molecular subtypes: two triple negative (TNBC) patients, three luminal B patients including one with a rare inflammatory subtype, and two luminal A patients. For all patients, we sequenced cells from the entire MPE, without performing any enrichment or selection, in order to ascertain the cellular composition and molecular phenotypes in an unbiased manner. Our dataset presents the first unbiased and unselected assessment of breast cancer associated MPEs at single cell resolution, providing the community with a vital resource for the study of MPEs. Our work highlights the molecular and cellular diversity captured in MPEs and advances the use of these clinically relevant biopsies both in monitoring disease progression and in the development of targeted therapeutics for patients with advanced breast cancer.

2022-11-30 | GSE208532 | 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