Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Human lymphoma cells: BLS type vs. conventional diffuse large B-cell lymphoma (DLBCL)

ABSTRACT: mRNA profiling of BLS type DLBCL cells comparing with conventional DLBCL cells. The former were sorted from bone marrow and the latter were isolated from pleural effusions by using magnetic microbeads coated with anti-CD20 antibody after loaded onto a column. The goal was to determine the global genes upregulated in BLS type DLBCL.

ORGANISM(S): Homo sapiens

PROVIDER: GSE136545 | GEO | 2019/08/29

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Human lymphoma cells: BLS type vs. conventional diffuse large B-cell lymphoma (DLBCL)

Project description:Human lymphoma cells: BLS type vs. conventional diffuse large B-cell lymphoma (DLBCL)

| PRJNA562670 | ENA

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

miRNA profiling of pediatric T cell lymphoblastic lymphoma

Project description:miRNA profiling has been performed on primary tumor samples collected at diagnosis from pediatric patients affected by T-cell lymphoblastic lymphoma. Tumor tissue was frozen at the time of surgery. Mononucleated cells were isolated from pleural effusions upon red blood cell lysis and frozen. The experiment does not include technical replicates.

2014-06-10 | E-GEOD-55846 | biostudies-arrayexpress

Correlative analysis from a phase I clinical trial of intrapleural administration of oncolytic vaccinia virus (Olvi-vec) in patients with malignant pleural mesothelioma

Project description:Regional delivery of oncolytic viruses has been shown to promote immune responses. Malignant pleural effusions comprise an immunosuppressive microenvironment, and the ability of oncolytic viruses to generate immune responses following regional delivery in patients with malignant pleural effusions is unknown. We conducted a phase I clinical trial that studied the intrapleural administration of oncolytic vaccinia virus to establish the safety and feasibility in patients with malignant pleural effusion due to malignant pleural mesothelioma or metastatic disease. In patients with malignant pleural mesothelioma, by correlative analysis of pre- and post-treatment tumor biopsies, we provide insight into tumor-specific viral uptake and associated immune responses.

2023-01-27 | GSE223395 | GEO

DLBCL

Project description:DLBCL

| PRJNA1118307 | ENA

Identification of novel markers for malignant pleural mesothelioma diagnosis

Project description:Diagnosis of malignant pleural mesothelioma (MPM) is difficult, the most common differential diagnosis being benign pleural diseases and metastatic adenocarcinomas. In order to identify novel markers able to improve diagnostic accuracy, we performed a genome-wide gene expression analysis on tumor cells lines established from pleural effusions (13 MPM and 4 lung adenocarcinoma). Our microarray analysis led to the identification of genes encoding novel cellular and soluble markers whose expression was validated by RT-qPCR. Immunohistochemical staining of tumor biopsies with anti-type-III collagen antibodies were positive in mesothelioma cells but not in adenocarcinoma cells. Using ELISA, we showed that the C-C motif chemokine 2 (CCL2) concentration was significantly higher in pleural effusions from patients with mesothelioma (n = 61) than in subjects with adenocarcinoma (n = 25) or with benign pleural effusions (n = 15): median (interquartile range) = 2.99 ng/mL (1.76-6.01) versus 0.99 ng/mL (0.51-1.83) and 1.47 ng/mL (0.80-1.56), respectively, P < 0.0001. Conversely, the galectin-3 concentration was lower in mesothelioma: 11.50 ng/mL (6.73-23.53) versus 24.74 ng/mL (20.42-70.35) and 17.64 ng/mL (14.81-24.68), respectively, P < 0.0001. The AUC for CCL2 were 0.8030 and 0.7716 for differentiating mesothelioma from adenocarcinoma or benign effusions, respectively. Similarly, the AUC obtained for galectin-3 were 0.7980 and 0.6923, respectively. In conclusion, type-III collagen, CCL2 and galectin-3 are promising new diagnostic markers for mesothelioma.

2009-07-25 | GSE17310 | GEO

Transcriptional profiling of murine ABC-DLBCL-like tumors [RNA-seq]

Project description:We have developed a novel immunocompetent multi-lesion mouse model of activated B cell diffuse large B-cell lymphoma (ABC-DLBCL; the pBIC mice) that recapitulates relatively fast the molecular, cellular and tumor microenvironment of aggressive human ABC-DLBCL. We demonstrate that perturbed p53 signaling cooperates with constitutive NF-kB activation in GC-experienced plasmablasts with blocked terminal differentiation to promote lymphomagenesis and tumor progression through triggering downstream intracellular molecular addictions (e.g. deregulating Foxp1 and AID pathways) and intercellular immunosuppressive signals for evading anti-tumoral responses (e.g. MHC-II antigen presentation and deregulating PD-L1/PD-1 immune checkpoint). Our immunocompetent ABC-DLBCL murine model provides in vivo evidence that PD-1 blockade cooperates with anti-CD20-based current standard-of-care therapy to reshape the immunosuppressive TME and facilitate long-term anti-tumoral responses. Therefore, our results support that immune checkpoints may hold promising therapeutic potential in ABC-DLBCL.

2019-04-19 | GSE116288 | GEO

DLBCL patients

Project description:DLBCL patients

| PRJNA613053 | ENA

BCR repertoire profiling of murine ABC-DLBCL-like tumors [targeted RNA-seq]

2019-04-19 | GSE117119 | GEO

Expression data from Diffuse Large B Cell Lymphoma (DLBCL) patients

Project description:Diffuse large B-cell lymphoma (DLBCL) is currently divided into three main molecular subtypes, defined by gene expression profiling (GEP): Germinal Center B-cell like (GCB), Activated B-Cell like (ABC), and Primary Mediastinal B-cell Lymphoma (PMBL). DLBCL subtypes were determined according to patients' gene expression profiles.

2017-01-30 | GSE87371 | 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