Single-cell RNA sequencing of bone marrow aspirate samples from multiple myeloma and its precursor conditions
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1129864 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR29653400.fastq.gz | Fastqsanger.gz | |||
| SRR29653401.fastq.gz | Fastqsanger.gz | |||
| SRR29653402.fastq.gz | Fastqsanger.gz | |||
| SRR29653403.fastq.gz | Fastqsanger.gz | |||
| SRR29653404.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 76 |
Similar Datasets
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
Project description:Identifying bone marrow microenvironmental alterations in multiple myeloma and its precursor conditions using whole bone marrow biopsies
| PRJNA1157850 | ENA
Project description:Purpose: Multiple myeloma is a malignancy of plasma cells. Extensive genetic and transcriptional characterization of myeloma has identified subtypes with prognostic and therapeutic implications. In contrast, relatively little is known about the myeloma epigenome. Experimental Design: CD138+CD38+ myeloma cells were isolated from fresh bone marrow aspirate or the same aspirate after freezing for one to six months. Gene expression and chromatin accessibility were compared between fresh and frozen samples by RNA-seq and ATAC-seq. Chromatin accessible regions were used to identify regulatory RNA expression in over 700 samples from newly diagnosed patients in the MMRF CoMMpass trial (NCT01454297). Results: Gene expression and chromatin accessibility of cryopreserved myeloma recapitulated that of freshly isolated samples. ATAC-seq performed on a series of biobanked specimens identified thousands of chromatin accessible regions with hundreds being highly coordinated with gene expression. Over 4,700 of these chromatin accessible regions were transcribed in newly diagnosed myelomas from the CoMMpass trial. Regulatory element activity alone recapitulated myeloma gene expression subtypes, and in particular myeloma subtypes with IGH translocations were defined by transcription of distal regulatory elements. Moreover, enhancer activity predicted oncogene expression implicating gene regulatory mechanisms in aggressive myeloma. Conclusions: These data demonstrate the feasibility of using biobanked specimens for retrospective studies of the myeloma epigenome and illustrate the unique enhancer landscapes of myeloma subtypes that are coupled to gene expression and disease progression.
2021-03-03 | GSE167967 | GEO
Project description:Purpose: Multiple myeloma is a malignancy of plasma cells. Extensive genetic and transcriptional characterization of myeloma has identified subtypes with prognostic and therapeutic implications. In contrast, relatively little is known about the myeloma epigenome. Experimental Design: CD138+CD38+ myeloma cells were isolated from fresh bone marrow aspirate or the same aspirate after freezing for one to six months. Gene expression and chromatin accessibility were compared between fresh and frozen samples by RNA-seq and ATAC-seq. Chromatin accessible regions were used to identify regulatory RNA expression in over 700 samples from newly diagnosed patients in the MMRF CoMMpass trial (NCT01454297). Results: Gene expression and chromatin accessibility of cryopreserved myeloma recapitulated that of freshly isolated samples. ATAC-seq performed on a series of biobanked specimens identified thousands of chromatin accessible regions with hundreds being highly coordinated with gene expression. Over 4,700 of these chromatin accessible regions were transcribed in newly diagnosed myelomas from the CoMMpass trial. Regulatory element activity alone recapitulated myeloma gene expression subtypes, and in particular myeloma subtypes with IGH translocations were defined by transcription of distal regulatory elements. Moreover, enhancer activity predicted oncogene expression implicating gene regulatory mechanisms in aggressive myeloma. Conclusions: These data demonstrate the feasibility of using biobanked specimens for retrospective studies of the myeloma epigenome and illustrate the unique enhancer landscapes of myeloma subtypes that are coupled to gene expression and disease progression.
2021-03-03 | GSE167968 | GEO
Project description:Bone marrow microenvironment in MM contains a unique miR signature, which is partially present and detectable in the peripheral blood. A subset of miRs (let-7i, miR-106b, miR-15a, and miR16) shows aberrant expression in the precursor lesion of MGUS, while aberrant expression of other miRs (let-7a, miR-15a/b, miR-19b, miR-20a, miR-21, miR-223, and miR-361) is associated with cell proliferation and disease progression. miRNA profiling was performed using Agilent miRNA array platforms with RNAs isolated from the bone marrow supernatant of multiple myeloma.
2016-07-01 | E-GEOD-49261 | biostudies-arrayexpress
Project description:Tumor immune microenvironmental alterations occur early in multiple myeloma (MM) development. In this study, we aim to systematically characterize the tumor immune microenvironment (TME) and the tumor-immune interactions from precursor stages, i.e., monoclonal gammopathy of undetermined significance (MGUS) and smoldering MM (SMM), to newly diagnosed MM, comparing these to healthy donors. CIBERSORT analysis revealed proportions of 27 cell types, including 10 innate immune cells (monocytes, M0/M1/M2 macrophages, resting/activated dendritic cells, resting/activated mast cells, eosinophils, and neutrophils), 7 T cell subsets (CD8+ T cells, naive CD4+ T cells, resting/activated memory CD4+ T cells, follicular helper T cells, regulatory T cells, and gamma delta T cells), resting/activated NK cells, naive B cells, memory B cells, plasma cells, myeloma plasma cells, memory plasma cells, osteoblasts, osteoclasts and adipocytes. We removed plasma cells (PC) from the 100% total cell proportions to avoid bias resulting from different tumor burdens. We found that the proportions of neutrophils, mast cells, and monocytes account for the majority of innate immune cells and were decreased in NDMM and its precursor stages when compared with NBM. We noticed a significant abundance of M2 macrophages in NDMM, but not in the precursor stages. The proportion of CD8+ T cells was increased at the SMM and MM stages, and the proportion of activated memory CD4+ T cells continued to decrease from NBM to MGUS, SMM, and MM. We performed correlation analysis of immune cell proportions with the time of progression of MGUS and SMM patients. We observed neutrophil proportions were negatively correlated with the time to progression in SMM patients, indicating more neutrophils predict inferior outcomes for SMM patients. However, in NDMM patients, we observed that the neutrophil percentage was decreased in patients with high-risk status based on the 70-gene Prognostic Risk Score (GEP-70) or at stage III of International Staging System (ISS), and patients with high proportions of neutrophils had a significantly superior overall survival (OS) and event-free survival (EFS). For T cell populations, we observed that the proportions of CD8+ T cells were negatively correlated with the time of progression in SMM patients and the γδ T cells were positively correlated. We observed the proportions of γδ T cells were also positively correlated with the time of progression in MGUS patients. Consistent with the time-to-progression data, high-risk SMM patients showed higher proportions of CD8+ T cells and lower proportions of naïve CD4+ T cells and γδ T cells.
2024-11-22 | GSE276561 | GEO
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
Project description:Fibroblasts are a key cellular component of tumour microenvironment, along with other stromal cells playing a critical role in disease initiation and progression (1). In this study, bone marrow fibroblasts deriving from patients with monoclonal gammopathy of undetermined significance (MGUS) or active multiple myeloma (MM) were subjected to global gene expression analysis, in order to identify progression-associated alterations of gene expression. Through immunoselection procedures, primary cultures of bone marrow fibroblasts were established from bone marrow aspirate of 18 patients fullfilling the International Myeloma Working Group diagnostic criteria for MM (n=10) and MGUS (n=8). Differentially expressed genes were investigated through cDNA microarray (21,329 70-mer oligonucleotides; dual-label competitive hybridization), using the reference design as experimental protocol and t-test statistics for identifying differentially expressed genes. A number of genes functionally involved in survival, proliferation, motility, inflammation and angiogenesis were found to be up-regulated in bone marrow fibroblasts from MM patients with respect to MGUS patients. In parallel, several genes were down-regulated in MM fibroblasts. Overall, bone marrow fibroblasts from MM patients show a distinct gene expression pattern that differentiates them from bone marrow fibroblasts of MGUS. The observation of differentially expressed genes indicates an activation state of fibroblasts in MM, which very likely concur to determine a microenvironment supporting disease progression. 1. Kalluri R, Zeisberg M: Fibroblasts in cancer. Nat Rev Cancer 2006; 6: 392:401.
2010-10-30 | GSE24990 | GEO
Project description:<h4><strong>BACKGROUND:</strong> Multiple myeloma is characterized by clonal proliferation of malignant plasma cells in the bone marrow that produce monoclonal immunoglobulins. N-glycosylation changes of these monoclonal immunoglobulins have been reported in multiple myeloma, but previous studies only detected limited serum N-glycan features.</h4><h4><strong>METHODS:</strong> Here, a more detailed study of the human serum N-glycome of 91 multiple myeloma patients and 51 controls was performed. We additionally analyzed sequential samples from patients (n = 7) which were obtained at different time points during disease development as well as 16 paired blood serum and bone marrow plasma samples. N-glycans were enzymatically released and measured by mass spectrometry after linkage specific derivatization of sialic acids.</h4><h4><strong>RESULTS:</strong> A decrease in both α2,3- and α2,6-sialylation, galactosylation and an increase in fucosylation within complex-type N-glycans were found in multiple myeloma patients compared to controls, as well as a decrease in difucosylation of diantennary glycans. The observed glycosylation changes were present in all ISS stages, including the 'low-risk' ISS I. In individual patients, difucosylation of diantennary glycans decreased with development of the disease. Protein N-glycosylation features from blood and bone marrow showed strong correlation. Moreover, associations of monoclonal immunoglobulin (M-protein) and albumin levels with glycan traits were discovered in multiple myeloma patients.</h4><h4><strong>CONCLUSIONS & GENERAL SIGNIFICANCE: </strong>In conclusion, serum protein N-glycosylation analysis could successfully distinguish multiple myeloma from healthy controls. Further studies are needed to assess the potential roles of glycan trait changes and the associations of glycans with clinical parameters in multiple myeloma early detection and prognosis.</h4>
2022-04-27 | MTBLS676 | MetaboLights
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