Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: Sequencing of newly diagnosed multiple myeloma patients

PROVIDER: PRJNA826654 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18770400_1.fastq.gz	Fastqsanger.gz
	SRR18770400_2.fastq.gz	Fastqsanger.gz
	SRR18770500_1.fastq.gz	Fastqsanger.gz
	SRR18770500_2.fastq.gz	Fastqsanger.gz
	SRR18770401_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 294

Similar Datasets

Project description:Genomic Landscape In Newly Diagnosed Multiple Myeloma Patients

| PRJEB31370 | ENA

Project description:Panel sequencing data of newly diagnosed multiple myeloma patients

| PRJNA1023513 | ENA

CytoScan HD array for multiple myeloma samples

Project description:Affymetrix CytoScan HD array for newly diagnosed multiple myeloma patients.

2021-02-10 | GSE164554 | GEO

Gene Expression profiling of Multiple Myeloma

Project description:Gene Expression profiling of 170 newly diagnosed Multiple Myeloma patients Gene Expression profiling of Multiple Myeloma

2012-09-10 | GSE39754 | GEO

MMRC aCGH reference collection

Project description:The MMRC reference collection is a dataset of gene expression profiling, array comparative genomic hybridization, and re-sequencing created as a resource for the Multiple Myeloma research community. CD138 purified bone marrow cells from patients with newly diagnosed and relapsed Multiple Myeloma.

2011-01-26 | E-GEOD-26849 | biostudies-arrayexpress

Gene Expression profiling of Multiple Myeloma

Project description:Gene Expression profiling of 170 newly diagnosed Multiple Myeloma patients Gene Expression profiling of Multiple Myeloma Cells from Healthy donors and Multiple myeloma patients were profiled using Affymetrix Exon-1.0 ST microarrays

2012-09-10 | E-GEOD-39754 | biostudies-arrayexpress

MMRC expression reference collection

2011-01-20 | E-GEOD-26760 | biostudies-arrayexpress

An IL-1β driven neutrophil-stromal cell axis fosters a BAFF-rich microenvironment in multiple myeloma

Project description:Neutrophils are the most abundant nucleated cell type in the bone marrow. A pro-tumor bias in this cell type may have implications for bone-marrow residing malignancies, such as multiple myeloma. Here, we generated single cell transcriptomic overviews of the entire myeloid compartment, including the entire neutrophilic lineage, of the bone marrow of 6 newly diagnosed myeloma patients, 5 treated myeloma patients and 4 non-cancer controls. We find dat mature neutrophils in myeloma patients, both newly diagnosed and treated, have an activated and pro-inflammatory phenotype, accompanied by increased transcription of pro-inflammatory cytokines, such as IL-1β, and myeloma cell survival factors, such as BCMA-ligand BAFF/TNFSF13B. Moreover, inflammatory stromal cells can activate naive neutrophils to acquire an inflammatory phenotype as is seen in patients. Previously, we have shown that inflammatory stromal cells characterized the bone marrow of newly diagnosed myeloma patients. Here, we generate single cell RNA sequencing dataset of non-hematopoietic bone marrow cells of patients after induction treatment, high-dose melphalan, stem cell transplantation and consolidation treatment. We show that this intensive treatment reduced, but did not normalize, stromal inflammation.

2023-03-31 | E-MTAB-12760 | biostudies-arrayexpress

Expression data from 4 newly diagnosed multiple myeloma patients and 4 healthy subjects

Project description:It has been found that miRNA is related to the diagnosis and prognosis of multiple myeloma. In this project, we We used microarrays to detect the expression of miRNA in bone marrow of newly diagnosed multiple myeloma patients and healthy subjects, screened out differentially expressed miRNAs, and studied its role in multiple myeloma.

2020-09-03 | GSE157324 | GEO

Single-cell RNA sequencing of bone marrow aspirate samples from multiple myeloma and its precursor conditions

Project description:To determine the cell types and their transcriptional alterations during multiple myeloma progression from its precursor conditions, ie. monoclonal gammopathy of undetermined significance (MGUS), and smoldering multiple myeloma (SMM), we used single-cell RNA sequencing (scRNA-seq) to analyze the bone marrow aspirate samples from 4 newly diagnosed multiple myeloma, 6 MGUS and 4 SMM patients as well as 5 healthy donors.

2024-07-04 | GSE271107 | 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