Extracellular matrices of bone marrow stroma regulate cell phenotype and contribute to distinct stromal niches in vivo
Stone, A. P.; Rand, E.; Thornes, G.; Kay, A. G.; Barnes, A. L.; Hitchcock, I. S.; Genever, P.
Show abstract
The heterogeneity of bone marrow stromal cells (BMSCs) has been revealed more in recent years through the advent of single cell RNA sequencing. However, protein level characterisation is likely to provide a deeper understanding of the functions of individual subsets and may reveal insights into the co-ordination of the cell phenotype maintaining niche. Here, by analysing heterogeneity in BMSC populations using human stromal cell lines to model extremes of cell morphology and migration characteristics, we identified plastic cell phenotypes that can be modified through secreted proteins. Transfer of secreted signals from a differentiation-competent stem cell phenotype was able to stimulate migration in a slow-moving stromal cell, observed via label-free ptychography. Subsequent untargeted proteomic interrogation of the secreted factors from these cell lines identified a highly significant enrichment of extracellular matrix (ECM) protein production by the differentiation-competent cells compared to non-stem cells. The most highly enriched proteins, aggrecan and periostin, were identified on the endosteal surfaces of mouse and human bone, underlying CD271+ stromal cells in the latter, indicating that they may represent key non-cellular niche-components important for cell maintenance and phenotype. ECM from stem cells was further capable of enhancing migration in non-stem cells in a focal adhesion kinase-dependent manner. Overall, we demonstrate the importance of the ECM in co-ordination of cellular phenotype and highlight how non-cellular components of the BMSC niche may provide insights into the role of BMSCs in health and disease.
Matching journals
The top 12 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Pancreatic ductal adenocarcinoma cells employ integrin α6β4 to form hemidesmosomes and regulate cell proliferation 95%
- Human mammary 3D spheroid models uncover the role of filopodia in breaching the basement membrane to facilitate invasion 94%
- Increased abundance of Cbl E3 ligases alters PDGFR signaling in recessive dystrophic epidermolysis bullosa 93%
Similar papers in this journal
- Synthetic peptide hydrogels as a model of the bone marrow niche demonstrate efficacy of a combined CRISPR-CAR T-cell therapy for acute myeloid leukaemia 96%
- Surface topography is a context-dependent activator of TGF-β signaling in mesenchymal stem cells 95%
- Energy Expenditure during Cell Spreading Regulates the Stem Cells Responses to Matrix Stiffness 94%
Similar papers in this journal
- Topological defects govern mesenchymal condensations, offering a morphology-based tool to predict cartilage differentiation 95%
- SULF1 suppresses Wnt3A-driven growth of bone metastatic prostate cancer in perlecan-modified 3D cancer-stroma-macrophage triculture models 95%
- Generation and characterization of two immortalized dermal fibroblast cell lines from the spiny mouse (Acomys) 94%
Similar papers in this journal
- Mesenchymal Stromal Cell secretome is affected by tissue source, donor age and sex. 95%
- Modulating Mesenchymal Stromal Cell Microenvironment Alters Exosome RNA Content and Ligament Healing Capacity 93%
- CD146+CD107a+ Mesenchymal Stem/Stromal Cells with Signature Attributes Correlate to Therapeutic Potency as \"First Responders\" to Injury and Inflammation 93%
Similar papers in this journal
- Differentiation of Mesenchymal Stem/ Stromal Cells into CD45+ Macrophage-like Cells: Expanding Insights into MSC Plasticity 94%
- Mesenchymal-epithelial transition reduces proliferation but increases immune evasion in tumor spheroids 93%
- Exogenous Sphingomyelinase Mediates MSC-derived EV Biogenesis and Enhances Potency via Repackaging of Molecular Cargo 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.