ScRNAseq atlas of mouse bone marrow endothelial cells
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB76309 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR13766043.fastq.gz | Fastqsanger.gz | |||
| ERR13766054.fastq.gz | Fastqsanger.gz | |||
| ERR13765359.fastq.gz | Fastqsanger.gz | |||
| ERR13765360.fastq.gz | Fastqsanger.gz | |||
| ERR13763483.fastq.gz | Fastqsanger.gz |
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Project description:Although endothelial cells (ECs) have been shown to contribute to HSC maintenance in bone marrow (BM), differential contributions of EC subtypes remain unknown, owing to the lack of methods to separate with high purity arterial (AEC) from sinusoidal (SEC) endothelial cells. We show that combination of podoplanin (PDPN) and Sca-1 expression distinguishes AEC from SEC where Sca1brightPDPN—CD45—Ter119— cells exhibit an arterial gene signature and PDPN+Sca1dimCD45—Ter119— marks sinusoids. PDPN can be substituted for antibodies against the adhesion molecules ICAM1 or E-selectin that also mark SEC. We performed functional analysis of these different types of endothelial cells and found that SCF secreated from AECs regulate HSCs.
2018-06-27 | GSE104701 | GEO
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Project description:To determine a gene/molecular fingerprint of multiple myeloma (MM) endothelial cells (MMECs), also identifying some of the vascular mechanisms that govern the malignant progression from quiescent monoclonal gammopathy of undetermined significance (MGUS). A comparative gene expression profiling (GEP) was carried out on patient-derived MMECs and MGUS endothelial cells (MGECs) using the Affymetrix U133A Arrays. Expression of selective vascular markers were also validated by RT-PCR and immunoblotting analysis in primary cultures of ECs isolated from total bone marrow (BM)-mononuclear cells. Twenty-two genes were found differently expressed in MMECs compared to MGECs (with 14 down-regulated and 8 up-regulated), thus proving that molecular differences were maintained in vitro. Specific pathways analysis revealed transcriptional and protein expression changes for key regulators of extracellular matrix formation and bone remodeling, cell-adhesion, chemotaxis, angiogenesis, resistance to apoptosis, and cell-cycle regulation. Specifically, we focused on six of these genes (DIRAS3, SERPINF1, SRPX, BNIP3, IER3 and SEPW1), which were not previously functionally correlated to the overangiogenic phenotype of MMECs and disease activity. These data identified distinct EC gene expression profiles and some vascular phenotypes that could influence the remodeling of the BM-microenvironment in patients with active MM. A better understanding of the linkage between genetic and epigenetic events in MM tumor/ECs may contribute to the molecular classification of the disease, thereby identifying selective targets of more effective anti-vessel/stroma therapeutic strategies. Keywords: Gene expression profiling, endothelial cells, Multiple Myeloma.
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Project description:Bone marrow endothelial cells (BM-ECs) are the essential components of the BM niche and support the function of hematopoietic stem cells (HSCs). However, conditioning for HSC transplantation causes damage to the recipients' BM-ECs and may lead to transplantation-related morbidity. Here, we investigated the cellular and clonal mechanisms of BM-EC regeneration after irradiative conditioning. Using single-cell RNA sequencing, imaging, and flow cytometry, we revealed how the heterogeneous pool of BM-ECs changes during regeneration from irradiation stress. Next, we developed a single-cell in vitro clonogenic assay and demonstrated that all EC fractions hold a high potential to reenter the cell cycle and form vessel-like structures. Finally, we used Rainbow mice and a machine-learning-based model to show that the regeneration of BM-ECs after irradiation is mostly polyclonal and driven by the broad fraction of BM-ECs; however, the cell output among clones varies at later stages of regeneration.
| S-EPMC11602546 | biostudies-literature
Project description:To determine a gene/molecular fingerprint of multiple myeloma (MM) endothelial cells (MMECs), also identifying some of the vascular mechanisms that govern the malignant progression from quiescent monoclonal gammopathy of undetermined significance (MGUS). A comparative gene expression profiling (GEP) was carried out on patient-derived MMECs and MGUS endothelial cells (MGECs) using the Affymetrix U133A Arrays. Expression of selective vascular markers were also validated by RT-PCR and immunoblotting analysis in primary cultures of ECs isolated from total bone marrow (BM)-mononuclear cells. Twenty-two genes were found differently expressed in MMECs compared to MGECs (with 14 down-regulated and 8 up-regulated), thus proving that molecular differences were maintained in vitro. Specific pathways analysis revealed transcriptional and protein expression changes for key regulators of extracellular matrix formation and bone remodeling, cell-adhesion, chemotaxis, angiogenesis, resistance to apoptosis, and cell-cycle regulation. Specifically, we focused on six of these genes (DIRAS3, SERPINF1, SRPX, BNIP3, IER3 and SEPW1), which were not previously functionally correlated to the overangiogenic phenotype of MMECs and disease activity. These data identified distinct EC gene expression profiles and some vascular phenotypes that could influence the remodeling of the BM-microenvironment in patients with active MM. A better understanding of the linkage between genetic and epigenetic events in MM tumor/ECs may contribute to the molecular classification of the disease, thereby identifying selective targets of more effective anti-vessel/stroma therapeutic strategies. Experiment Overall Design: This series of microarray experiments contains the gene expression profiles of five samples from HUVECs (Human Umbilical Vein Endothelial Cells) and five bone marrow ECs (endothelial cells) samples from newly diagnosed MGUS and MM patients, respectively. Centrifugation on Ficoll gradient of heparinized BM-aspirates was followed by polystyrene flask adherence to isolate stromal cells from plasma cells in suspension. Adherent stromal elements were first immunodepleted of macrophages and residual plasma cells with CD14 and CD38 monoclonal antibody (mAb)-coated flasks (mAbs were from Immunotech, Coulter, Marseilles, France), and then incubated with magnetic microbeads coated with Ulex europaeus-1 lectin. Freshly-isolated ECs were cultured in complete medium RPMI-1640 medium supplemented with 10% heat-inactivated FCS and 1% glutamine to allow cell spreading and growth. The purity and viability of EC cultures grown at least one passage (more than 97% viable cells) were assessed by fluorescence-activated cell sorting (FACS, FACS Canto II, Becton Dickinson, San Jose, CA) with double positivity for factor VIII-related antigen (FVIII-RA, a highly specific EC marker) and CD105 (or endoglyn, a molecule strongly expressed by ECs) as well as for CD14 and CD38 negativity. Analysis of mRNA transcripts for FVIII-RA, CD38, CD105 and IgH VDJ region was also performed by RT-PCR, and EC viability was assessed by trypan blue viable staining. HUVECs were purchased from Clonetics Biowhittaker (Walkersville, MD) and cultured in EGM-2MV media (Clonetics Biowhittaker). Five micrograms of total RNA was processed and, in accordance with the manufacturer's protocols, 15 micrograms of fragmented biotin-labelled cRNA were hybridized on GeneChip Human Genome U133A Arrays (Affymetrix Inc.). The arrays were scanned using the Agilent GeneArray Scanner G2500A (Affymetrix). The images were acquired using Affymetrix MicroArray Suite (MAS) 5.0 software and the probe level data converted to expression values using the Bioconductor function for the Robust Multi-Array average (RMA) procedure (Irizarry et al, 2003), in which perfect match intensities are background adjusted, quantile-quantile normalized and log2-transformed.
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Project description:The heterogeneity of endothelial cells (ECs), lining blood vessels, across tissues remains incompletely inventoried. We constructed an atlas of >32,000 single-EC transcriptomic data from 11 tissues of the model organism Mus musculus. We propose a new classification of EC phenotypes based on transcriptome signatures and inferred putative biological features. We identified top-ranking markers for ECs from each tissue. ECs from different vascular beds (arteries, capillaries, veins, lymphatics) resembled each other across tissues, but only arterial, venous and lymphatic (not capillary) ECs shared markers, illustrating a greater heterogeneity of capillary ECs. We identified high-endothelial-venule and lacteal-like ECs in the intestines, and angiogenic ECs in healthy tissues. Metabolic transcriptomes of ECs differed amongst spleen, lung, liver, brain and testis, while being similar for kidney, heart, muscle and intestines. Within tissues, metabolic gene expression was heterogeneous amongst ECs from different vascular beds, altogether highlighting large EC heterogeneity.
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Project description:Native bone marrow mesenchymal stem/stromal cells (BM-MSCs) participate in generating and shaping the skeleton and bone marrow throughout the lifespan. Moreover, BM-MSCs regulate hematopoiesis by contributing to the hematopoietic stem cell niche in providing critical cytokines, chemokines and extracellular matrix components. However, BM-MSCs per se contain a heterogeneous cell population that remains ill-defined. Although studies on the taxonomy of native BM-MSCs in mice have just started to emerge, the taxonomy of native human BM-MSCs remains unelucidated. By using single-cell RNA sequencing (scRNA-seq), we aimed to define a proper taxonomy for native human BM non-hematopoietic subsets including endothelial cells (ECs) and mural cells (MCs) but with a focal point on MSCs. To this end, transcriptomic scRNA-seq data were generated from 5 distinct BM donors and were analyzed together with other transcriptomic data and with bioinformatics analyses at different levels to identify, characterize and classify distinct native subsets with relevant biomarkers. We could ascribe novel specific biomarkers to ECs, MCs and MSCs. Unlike ECs and MCs, MSCs exhibited an adipogenic transcriptomic pattern while co-expressing genes related to hematopoiesis support and multilineage commitment potential. Furthermore, by a comparative analysis of scRNA-seq of BM cells from humans and mice, we identified core genes conserved in both species. Notably, we identified MARCKS, CXCL12, PDGFRA, and LEPR together with adipogenic factors as archetypal biomarkers to reveal native MSCs within BM. In addition, our data suggest some complex gene nodes regulating critical biological functions of native BM-MSCs together with a preferential commitment toward an adipocyte lineage. Overall, our taxonomy for native BM non-hematopoietic compartment provides an explicit depiction of gene expression in human ECs, MCs and MSCs at single-cell resolution. This analysis helps enhance our understanding of the phenotype and the complexity of biological functions of native human BM-MSCs.
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Project description:Radioimmunotherapy (RIT) is used to treat patients with hematological malignancies known to infiltrate the bone marrow (BM) microenvironment. RIT uses target-specific monoclonal antibodies stably conjugated to radionuclides to deliver cytotoxic radiation to cells of interest. While RIT is effective at delivering radiation to cancer cells, normal tissue is also exposed to radiation upon RIT, the consequences of which are largely unknown. Here, we studied the cellular and molecular effects of CD45-targeted astatine-211 (211At) RIT, IgG non-targeted 211At RIT, and Cesium-137 total-body irradiation (TBI) on hematopoietic cells and their BM niche in wild-type immunocompetent mice. Relative to non-targeted RIT or TBI, CD45-targeted RIT significantly delayed hematopoietic regeneration overall in the peripheral blood and BM and reduced hematopoietic stem/progenitor cell recovery and colony-forming ability. While BM endothelial cells (ECs) do not express the CD45 antigen, CD45-targeted RIT significantly depleted BM ECs compared to non-targeted RIT or TBI. RNA sequence analysis revealed significantly different transcriptomic profiles of BM ECs from CD45-RIT-treated mice compared to non-targeted RIT or TBI. ECs from CD45-RIT-treated mice, but not TBI or IgG-RIT-treated mice, were transcriptionally enriched for TGFβ, NOTCH, and IFNα signaling pathways compared to untreated mice. Collectively, our study indicates that CD45-targeted RIT severely impacts hematopoietic and EC niche recovery compared to non-targeted approaches. Future studies are required to determine the long-term consequences of such RIT-driven effects on BM niche physiology and how BM niche reprogramming by RIT affects cancer cells.
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