Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genomic landscape of multiple myeloma and of its precursor conditions, and its clinical implications

ABSTRACT: Genomic landscape of multiple myeloma and of its precursor conditions, and its clinical implications

PROVIDER: PRJNA1192331 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Genomic landscape of multiple myeloma and of its precursor conditions, and its clinical implications

Project description:Genomic landscape of multiple myeloma and of its precursor conditions, and its clinical implications

| PRJNA1192330 | ENA

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

Contact of myeloma cells induces a characteristic transcriptome signature in skeletal precursor cells - Implications for myeloma bone disease

Project description:In this study we analyzed the myeloma cell contact-mediated changes on the transcriptome of skeletal precursor cells. Therefore, human mesenchymal stem cells (MSC) and osteogenic precursor cells (OPC) were co-cultured with the representative myeloma cell line INA-6 for 24 h. Afterwards, MSC and OPC were separated from INA-6 cells by fluorescence activated cell sorting. Total RNA of MSC and OPC fractions was used for whole genome array analysis.

2016-09-20 | GSE87073 | GEO

Single-cell atlas of multiple myeloma and precursor diseases

Project description:Single cell profiling of small cohorts of myeloma precursor disease patient samples including monoclonal gammopathy of unknown significance and smoldering multiple myeloma have shown diverse evolutionary patterns and immune changes that occur early in the disease process. Using scRNAseq and scBCRseq in a large cohort of fifty-three patients with myeloma precursor disease in comparison with myeloma and normal donors we describe the early genomic drivers of malignant transformation and describe their divergent clonal expansion in hyperdiploid compared to non-hyperdiploid samples. We describe intra-patient heterogeneity with potential therapeutic implications as well as the distinct evolution patterns (linear/branching) from myeloma precursor disease to myeloma. Finally, we describe the unique adaptations of the microenvironment as a response to distinct genomic changes in myeloma cells. These results further our knowledge to characterize myeloma precursor disease evolution, inform individual patient progression risk stratification and identify potential biomarkers that could be clinically exploited.

| EGAS00001006694 | EGA

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

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

| PRJNA1129864 | ENA

Multiomic Landscape of Multiple Myeloma Precursor and Relapsed Disease

Project description:Multiomic Landscape of Multiple Myeloma Precursor and Relapsed Disease

| PRJNA1211201 | ENA

Multiomic Landscape of Multiple Myeloma Precursor and Relapsed Disease

Project description:Multiomic Landscape of Multiple Myeloma Precursor and Relapsed Disease

| PRJNA1211202 | ENA

Identifying bone marrow microenvironmental alterations in multiple myeloma and its precursor conditions using whole bone marrow biopsies

Project description:Identifying bone marrow microenvironmental alterations in multiple myeloma and its precursor conditions using whole bone marrow biopsies

| PRJNA1157850 | ENA

Single Cell Characterization of Myeloma and its Precursor Conditions Reveals Transcriptional Signatures of Early Tumorigenesis

Project description:Multiple myeloma is a plasma cell malignancy almost always preceded by precursor conditions, but low tumor burden of these early stages has hindered the study of their molecular programs through bulk sequencing technologies. Here, we generated and analyzed single cell RNA-sequencing of plasma cells from 26 patients at varying disease stages and 9 healthy donors. In silico dissection and comparison of normal and transformed plasma cells from the same bone marrow biopsy enabled discovery of novel, patient-specific transcriptional changes. Using Bayesian Non-Negative Matrix Factorization, we discovered 15 gene expression signatures which represent transcriptional modules relevant to myeloma biology, and identified a signature that is uniformly lost in neoplastic cells across disease stages. Finally, we demonstrated that tumors contain heterogeneous subpopulations expressing distinct transcriptional patterns. Our findings characterize transcriptomic alterations present at the earliest stages of myeloma, paving the way for exploration of personalized treatment approaches prior to malignant disease.

2022-08-31 | GSE193531 | GEO

Single-cell RNA sequencing reveals compromised immune microenvironment in precursor stages of multiple myeloma

Project description:Precursor states of Multiple Myeloma (MM) and its native tumor microenvironment need in-depth molecular characterization to better stratify and treat patients at risk. Using single-cell RNA sequencing of bone marrow cells from precursor stages, MGUS and smoldering myeloma (SMM), to full-blown MM alongside healthy donors, we demonstrate early immune changes during patient progression. We find NK cell abundance is frequently increased in early stages, and associated with altered chemokine receptor expression. As early as SMM, we show loss of GrK+ memory cytotoxic T-cells, and show their critical role in MM immunosurveillance in mouse models. Finally, we report MHC class II dysregulation in CD14+ monocytes, which results in T cell suppression in vitro. These results provide a comprehensive map of immune changes at play over the evolution of pre-malignant MM, which will help develop strategies for immune-based patient stratification.

2020-04-28 | GSE124310 | 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