Transcriptomics of single-cell and bulk sorted and micro-dissected mouse bone marrow, fetal liver and small intestine crypt cells
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE89379 | GEO | 2016/11/01
SECONDARY ACCESSION(S): PRJNA352035
REPOSITORIES: GEO
Similar Datasets
Project description:Transcriptomics of single-cell and bulk sorted and micro-dissected mouse bone marrow, fetal liver and small intestine crypt cells
| PRJNA352035 | ENA
Project description:We here systematically studied the interaction network of bone marrow cells. To this end, we micro-dissected many small interacting structures (cell doublets, triplets etc.) into single cells, and sequenced their mRNAs, to infer cell identity. After grouping the cells into cell types (based on the single-cell transcriptomes), we identified actual physical interactions that occurred more, or less, than what would be expected by chance.
2017-11-01 | GSE89378 | GEO
Project description:We here systematically studied the interaction network of bone marrow cells. To this end, we micro-dissected many small interacting structures (cell doublets, triplets etc.) into single cells, and sequenced their mRNAs, to infer cell identity. After grouping the cells into cell types (based on the single-cell transcriptomes), we identified actual physical interactions that occurred more, or less, than what would be expected by chance. We compared the micro-dissected data to sorted hematopoietic stem cells.
2016-06-24 | GSE76983 | GEO
Project description:We here systematically studied the interaction network of bone marrow cells. To this end, we micro-dissected many small interacting structures (cell doublets, triplets etc.) into single cells, and sequenced their mRNAs, to infer cell identity. After grouping the cells into cell types (based on the single-cell transcriptomes), we identified actual physical interactions that occurred more, or less, than what would be expected by chance. We compared the micro-dissected data to sorted hematopoietic stem cells. After mild dissociation of the bone marrow, we micro-dissected many small interacting structures (cell doublets, triplets etc.) into single cells, and sequenced their mRNAs. In addition, single hematopoietic stem cells were sorted (Lineage- Kit+ Sca1+ CD150+ CD48-) to sequence their transcriptome. In detail, the bone marrow was mildly flushed. Structures composed of about 10 to 20 cells were set apart. With needles and a micro-dissection microscope, we trimmed of smaller structures from these big structure. These smaller structures are mainly two to four cells attached together. These small structures were then further micro-dissected to single cells. The goal of doing these sequential dissections was to keep track of which cells were interacting with which. Each micro-dissected cell sample contains RNA-seq data for 96 single cells. Each single cells received a different barcode that allow us to entangle them, and to produce the processed .coutt.csv file. Each sorted hematopoietic stem cell sample represents a single cell. The processed data file expdata_BMJhscC.csv contains transcript counts for all analyzed cells.
2016-06-24 | E-GEOD-76983 | biostudies-arrayexpress
Project description:Human tissue repair deficiencies can be supplemented through strategies to isolate, expand in vitro, and reimplant regenerative cells that supplant damaged cells or stimulate endogenous repair mechanisms. Bone marrow-derived mesenchymal stromal cells (MSCs), a subset of which is described as mesenchymal stem cells, are leading candidates for cell-mediated bone repair and wound healing, with hundreds of ongoing clinical trials worldwide. An outstanding key challenge for successful clinical translation of MSCs is the capacity to produce large quantities of cells in vitro with uniform and relevant therapeutic properties. By leveraging biophysical traits of MSC subpopulations and label-free microfluidic cell sorting, we hypothesized and experimentally verified that MSCs of large diameter within expanded MSC cultures were osteoprogenitors that exhibited significantly greater efficacy over other MSC subpopulations in bone marrow repair. Systemic administration of osteoprogenitor MSCs significantly improved survival rates (>80%) as compared with other MSC subpopulations (0%) for preclinical murine bone marrow injury models. Osteoprogenitor MSCs also exerted potent therapeutic effects as "cell factories" that secreted high levels of regenerative factors such as interleukin-6 (IL-6), interleukin-8 (IL-8), vascular endothelial growth factor A, bone morphogenetic protein 2, epidermal growth factor, fibroblast growth factor 1, and angiopoietin-1; this resulted in increased cell proliferation, vessel formation, and reduced apoptosis in bone marrow. This MSC subpopulation mediated rescue of damaged marrow tissue via restoration of the hematopoiesis-supporting stroma, as well as subsequent hematopoiesis. Together, the capabilities described herein for label-freeisolation of regenerative osteoprogenitor MSCs can markedly improve the efficacy of MSC-based therapies.
| S-EPMC4275011 | biostudies-literature
Project description:In adult mammalian bone marrow (BM), vascular endothelial cells and perivascular reticular cells control the function of haematopoietic stem and progenitor cells (HSPCs). During fetal development, the mechanisms regulating the de novo haematopoietic cell colonization of BM remain largely unknown. Here, we show that fetal and adult BM exhibit fundamental differences in cellular composition and molecular interactions by single cell RNA sequencing. While fetal femur is largely devoid of leptin receptor-expressing cells, arterial endothelial cells (AECs) provide Wnt ligand to control the initial HSPC expansion. Haematopoietic stem cells and c-Kit+ HSPCs are reduced when Wnt secretion by AECs is genetically blocked. We identify Wnt2 as AEC-derived signal that activates β-catenin-dependent proliferation of fetal HSPCs. Treatment of HSPCs with Wnt2 promotes their proliferation and improves engraftment after transplantation. Our work reveals a fundamental switch in the cellular organization and molecular regulation of BM niches in the embryonic and adult organism.
| S-EPMC8921288 | biostudies-literature
Project description:The transcriptomes of single cells from human bone marrow were investigated at single cell level, with the aim to reconstruct the development of human dendritic cell lineages.
2020-08-01 | GSE142999 | GEO
Project description:Sca1-CD45 sorted bone marrow Keywords: other
2005-09-01 | GSE3241 | GEO
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
Project description:We used a positron emission tomography (PET) tracer 18F fluorodeoxyglucose ([18F]-FDG) and transcriptomic analysis to detect glucose uptake by cells in the bone marrow micro-environment with an MLL-AF9-induced mouse model. Leukaemic cells had the greatest glucose uptake. To determine whether glucose uptake is driven by intrinsic demand, we applied RNA-seq of sorted leukaemia cells (GFP+) and bone marrow micro-environment myeloid cells (GFP-CD11b+) from the MLL-AF9 transduced mouse model.
2023-04-14 | GSE227581 | GEO