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Combined single-cell and spatial transcriptomics reveal the molecular, cellular and spatial bone marrow niche organization.

ABSTRACT: The bone marrow constitutes the primary site for life-long blood production and skeletal regeneration. However, its cellular and spatial organization remains controversial. Here, we combine single-cell and spatially resolved transcriptomics to systematically map the molecular, cellular and spatial composition of distinct bone marrow niches. This allowed us to transcriptionally profile all major bone-marrow-resident cell types, determine their localization and clarify sources of pro-haematopoietic factors. Our data demonstrate that Cxcl12-abundant-reticular (CAR) cell subsets (Adipo-CAR and Osteo-CAR) differentially localize to sinusoidal and arteriolar surfaces, act locally as 'professional cytokine-secreting cells' and thereby establish peri-vascular micro-niches. Importantly, the three-dimensional bone-marrow organization can be accurately inferred from single-cell transcriptome data using the RNA-Magnet algorithm described here. Together, our study reveals the cellular and spatial organization of bone marrow niches and offers a systematic approach to dissect the complex organization of whole organs.

SUBMITTER: Baccin C

PROVIDER: S-EPMC7610809 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Spatial transcriptomics of murine bone marrow megakaryocytes at single-cell resolution.

Project description:BackgroundWhile megakaryocytes are known for making platelets, recent single-cell RNA sequencing data have revealed subpopulations of megakaryocytes with predicted immunoregulatory and bone marrow niche-supporting roles. Although these studies uncovered interesting information regarding the transcriptional variation of megakaryocytes, the generation, localization, and regulation of these subsets have not yet been studied and therefore remain incompletely understood. Considering the complex organization of the bone marrow, we reasoned that the application of spatial transcriptomic approaches could help dissect megakaryocyte heterogeneity within a spatiotemporal context.ObjectivesThe aim of this study was to combine spatial context and transcriptomics to assess the heterogeneity of murine bone marrow megakaryocytes in situ at a single-cell level.MethodsBone marrow sections were obtained from femurs of C57BL/6J mice. Using the murine whole transcriptome array on the Nanostring GeoMx digital spatial profiling platform, we profiled 44 individual megakaryocytes (CD41+ by immunofluorescence) in situ throughout the bone marrow, both adjacent and nonadjacent to the endothelium (directly in contact with vascular endothelial-cadherin-positive cells).ResultsPrincipal component analysis revealed no association between transcriptomic profile and adjacency to the vasculature. However, there was a significant effect of proximal vs distal regions of the bone. Two and 3 genes were found overexpressed in the proximal and distal sides, respectively. Of note, proplatelet basic protein and platelet factor 4, 2 genes associated with platelet production, had higher expression in proximal megakaryocytes.ConclusionThis study indicates a possible effect of spatial location on megakaryocyte heterogeneity and substantiate further interest in investigating megakaryocyte subpopulations in the context of their spatial orientation.

| S-EPMC10225915 | biostudies-literature

Single-cell transcriptomes of murine bone marrow stromal cells reveal niche-associated heterogeneity.

Project description:Bone marrow (BM) stromal cells are important in the development and maintenance of cells of the immune system. Using single cell RNA sequencing, we here explore the functional and phenotypic heterogeneity of individual transcriptomes of 1167 murine BM mesenchymal stromal cells. These cells exhibit a tremendous heterogeneity of gene expression, which precludes the identification of defined subpopulations. However, according to the expression of 108 genes involved in the communication of stromal cells with hematopoietic cells, we have identified 14 non-overlapping subpopulations, with distinct cytokine or chemokine gene expression signatures. With respect to the maintenance of subsets of immune memory cells by stromal cells, we identified distinct subpopulations expressing Il7, Il15 and Tnfsf13b. Together, this study provides a comprehensive dissection of the BM stromal heterogeneity at the single cell transcriptome level and provides a basis to understand their lifestyle and their role as organizers of niches for the long-term maintenance of immune cells.

| S-EPMC6771914 | biostudies-literature

Mapping the Cellular Biogeography of Human Bone Marrow Niches Using Single-Cell Transcriptomics and Proteomic Imaging.

Project description:The bone marrow is the organ responsible for blood production. Diverse non-hematopoietic cells contribute essentially to hematopoiesis. However, these cells and their spatial organization remain largely uncharacterized as they have been technically challenging to study in humans. Here, we used fresh femoral head samples and performed single-cell RNA sequencing (scRNA-Seq) to profile 29,325 enriched non-hematopoietic bone marrow cells and discover nine transcriptionally distinct subtypes. We next employed CO-detection by inDEXing (CODEX) multiplexed imaging of 18 individuals, including both healthy and acute myeloid leukemia (AML) samples, to spatially profile over one million single cells with a novel 53-antibody panel. We discovered a relatively hyperoxygenated arterio-endosteal niche for early myelopoiesis, and an adipocytic, but not endosteal or perivascular, niche for early hematopoietic stem and progenitor cells. We used our atlas to predict cell type labels in new bone marrow images and used these predictions to uncover mesenchymal stromal cell (MSC) expansion and leukemic blast/MSC-enriched spatial neighborhoods in AML patient samples. Our work represents the first comprehensive, spatially-resolved multiomic atlas of human bone marrow and will serve as a reference for future investigation of cellular interactions that drive hematopoiesis.

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Dissecting the cellular architecture of neuroblastoma bone marrow metastasis using single-cell transcriptomics and epigenomics

Project description:The bone marrow (BM) is the third most frequent site of metastasis for solid tumors, creating an unfavorable clinical outcome. It provides a unique microenvironment that promotes growth of tumors, however, the role of different BM cells, their molecular features, and their interactions with tumor cells, are poorly defined. Here, we investigate the BM niche in neuroblastoma (NB), a pediatric cancer of the sympathetic nervous system. NB has been molecularly defined at the primary cancer site, yet, the metastatic site is poorly characterized. We performed single-cell transcriptomics (scRNA-seq) and epigenomic profiling (scATAC-seq) of BM aspirates from 11 subjects spanning three major NB subtypes: patients with MYCN amplification (MNA), ATRX mutations (ATRXmut), and cases that lack these alterations (sporadic): NB cases were then compared to five age-matched and metastasis-free BM (controls), followed by in-depth single cell analyses of tissue diversity and cell-cell interactions. We present the first map of the epigenetic and transcriptomic effects of bone marrow metastases. Our analyses demonstrate that tumor cells in the metastatic niche display plasticity that differs among NB subtypes. NB cells via cell-cell interaction signal to the bone marrow microenvironment, rewiring specifically monocytes, which exhibit M1 and M2 features, marked by activation of pro- and anti-inflammatory programs, and express tumor-promoting factors, reminiscent of tumor-associated macrophages. Our study may provide the basis for a therapeutic approach, targeting tumor-to-microenvironment interactions.

2023-07-20 | PXD036979 | Pride

scResolve: Recovering single cell expression profiles from multi-cellular spatial transcriptomics.

Project description:Many popular spatial transcriptomics techniques lack single-cell resolution. Instead, these methods measure the collective gene expression for each location from a mixture of cells, potentially containing multiple cell types. Here, we developed scResolve, a method for recovering single-cell expression profiles from spatial transcriptomics measurements at multi-cellular resolution. scResolve accurately restores expression profiles of individual cells at their locations, which is unattainable from cell type deconvolution. Applications of scResolve on human breast cancer data and human lung disease data demonstrate that scResolve enables cell type-specific differential gene expression analysis between different tissue contexts and accurate identification of rare cell populations. The spatially resolved cellular-level expression profiles obtained through scResolve facilitate more flexible and precise spatial analysis that complements raw multi-cellular level analysis.

| S-EPMC10769299 | biostudies-literature

Spatial transcriptomics of murine bone marrow megakaryocytes at single-cell resolution

Project description:Megakaryocytes are bone marrow (BM) resident cells that derive from hematopoietic stem cells. A pivotal function of megakaryocytes is the generation of platelets through the release of long protrusions called proplatelets into sinusoidal vessels. single-cell RNA-sequencing on murine BM megakaryocytes has previously revealed transcriptional heterogeneity with segmentation into four distinct categories. These studies postulated functions beyond platelet production with evidence for immunoregulatory and stem cell niche supporting subtypes, as well as a cycling population. The spatial context and transcriptional heterogeneity of megakaryocytes is of great interest as localization of for instance the vasculature is a necessity for platelet production. For single-cell RNA sequencing this spatial orientation is however lost due to the dissociation of tissues. Recent technological advances have enabled the interrogation of gene expression profiles of tissues in situ. This enables the integration of morphological, situational and transcriptional information to classify cells in the context of their microenvironment. In the following we present, for the first time, the application of this technology to BM megakaryocytes at a single cell level.

2023-04-27 | GSE224838 | GEO

Combined single-cell and spatial transcriptomics reveal the precise cellular states of postnatal cerebellar granule cells and connection with medulloblastoma

Project description:The progenitor/differentiation states of cerebellum granule cells have been investigated for many years. Deregulation of granule cells development is associated with the pathogenesis of medulloblastoma (MB).Our study reveals the cellular and spatial organization of cerebellar granule cells and provide direct evidence showing the similarity and discrepancy between normal development and tumorigenesis.

2021-01-18 | GSE156633 | GEO

Cellular immunotherapy on primary multiple myeloma expanded in a 3D bone marrow niche model.

Project description:Bone marrow niches support multiple myeloma, providing signals and cell-cell interactions essential for disease progression. A 3D bone marrow niche model was developed, in which supportive multipotent mesenchymal stromal cells and their osteogenic derivatives were co-cultured with endothelial progenitor cells. These co-cultured cells formed networks within the 3D culture, facilitating the survival and proliferation of primary CD138+ myeloma cells for up to 28 days. During this culture, no genetic drift was observed within the genomic profile of the primary myeloma cells, indicating a stable outgrowth of the cultured CD138+ population. The 3D bone marrow niche model enabled testing of a novel class of engineered immune cells, so called TEGs (??T cells engineered to express a defined ??TCR) on primary myeloma cells. TEGs were engineered and tested from both healthy donors and myeloma patients. The added TEGs were capable of migrating through the 3D culture, exerting a killing response towards the primary myeloma cells in 6 out of 8 donor samples after both 24 and 48 hours. Such a killing response was not observed when adding mock transduced T cells. No differences were observed comparing allogeneic and autologous therapy. The supporting stromal microenvironment was unaffected in all conditions after 48 hours. When adding TEG therapy, the 3D model surpassed 2D models in many aspects by enabling analyses of specific homing, and both on- and off-target effects, preparing the ground for the clinical testing of TEGs. The model allows studying novel immunotherapies, therapy resistance mechanisms and possible side-effects for this incurable disease.

| S-EPMC5980416 | biostudies-literature

Bone marrow niche

Project description:Bone marrow niche

| PRJNA429031 | ENA

Single-Cell transcriptomes of murine Bone Marrow Stromal Cells Reveal Niche-Associated Heterogeneity

Project description:Bone marrow (BM) stromal cells are important in the development and maintenance of cells of the immune system. Using single cell RNA sequencing, we here explore the functional and phenotypic heterogeneity of individual transcriptomes of 1,167 murine BM mesenchymal stromal cells. These cells exhibit a tremendous heterogeneity of gene expression, which precludes the identification of defined subpopulations. However, according to the expression of 108 genes involved in the communication of stromal cells with hematopoietic cells, we have identified 14 non-overlapping subpopulations, with distinct cytokine or chemokine gene expression signatures. With respect to the maintenance of subsets of immune memory cells by stromal cells, we identify distinct subpopulations expressing IL7, IL15 and Tnfsf13b. Together, this study provides a comprehensive dissection of the BM stromal heterogeneity at the single cell transcriptome level and provides a basis to understand their lifestyle and their role as organizers of niches for the long-term maintenance of immune cells.

2019-05-17 | GSE131365 | GEO

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