Loss of EfnB1 in the osteogenic lineage compromises their capacity to support hematopoietic stem/progenitor cell maintenance

Arthur, Agnieszka; Nguyen, Thao M.; Paton, Sharon; Zannettino, Andrew C.W.; Gronthos, Stan

doi:10.1016/j.exphem.2018.10.004

Cited by 15 publications

(10 citation statements)

References 75 publications

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“…Stem/progenitor markers and gating strategies should, by definition, exclude mature cell types of the lineage. There are no validated methodologies available to identify osteoblasts using cell surface markers, although some authors report Sca1+CD51+ as stem cells and Sca1-CD51+ cells as committed osteoprogenitors or osteoblasts (31,32). We utilized the Col2.3GFP transgene to identify mature osteoblasts (33,34).…”

Section: Evaluation Of 'Skeletal Stem Cell' Populations In Adult Micementioning

confidence: 99%

Heterogeneity of murine periosteum progenitors involved in fracture healing

Matthews

Novak

Sbrana

et al. 2021

eLife

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The periosteum is the major source of cells involved in fracture healing. We sought to characterize progenitor cells and their contribution to bone fracture healing. The periosteum is highly enriched for progenitor cells, including Sca1+ cells, CFU-F and label-retaining cells compared to the endosteum and bone marrow. Using lineage tracing, we demonstrate that αSMA identifies long-term, slow-cycling, self-renewing osteochondroprogenitors in the adult periosteum that are functionally important for bone formation during fracture healing. In addition, Col2.3CreER-labeled osteoblast cells contribute around 10% of osteoblasts, but no chondrocytes in fracture calluses. Most periosteal osteochondroprogenitors following fracture, can be targeted by αSMACreER. Previously identified skeletal stem cell populations were common in periosteum, but contained high proportions of mature osteoblasts. We have demonstrated that the periosteum is highly enriched for skeletal progenitor cells and there is heterogeneity in the populations of cells that contribute to mature lineages during periosteal fracture healing.

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Section: Evaluation Of 'Skeletal Stem Cell' Populations In Adult Micementioning

confidence: 99%

Heterogeneity of murine periosteum progenitors involved in fracture healing

Matthews

Novak

Sbrana

et al. 2021

eLife

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“…Like CD34‐positive leukemia‐initiating AML cells [63] we find ROBO 4 significantly overexpressed in CD34‐positive ALL samples, but we also find other axonal growth guidance genes upregulated, such as EFNB1 and EPHA7 . This is a particularly intriguing finding given the known roles of these genes in migration, adhesion, survival, and stemness [72,73], yet functional studies are warranted to elucidate the exact roles of these genes in CD34‐positive ALL.…”

Section: Discussionmentioning

confidence: 99%

High CD34 surface expression in BCP‐ALL predicts poor induction therapy response and is associated with altered expression of genes related to cell migration and adhesion

et al. 2022

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“…In addition, BCL2A1 was a critical mediator of B‐cell survive and regulated by Spleen tyrosine kinase and Bruton tyrosine kinase, and was associated with advancement of hematological malignancies as well as solid tumor (Sochalska et al, 2016 ; Vogler, 2012 ). EFNB1 was a critical factor in stromal‐mediated support of hematopoiesis, and help to maintain the hematopoietic stem niche (Arthur et al, 2019 ). However, EphB1 as a tumor suppressor which mediated growth inhibition, apoptosis, and cycle arrest of EphB1‐expressing AML cells (Kampen et al, 2015 ).…”

Section: Discussionmentioning

confidence: 99%

Construction of three‐gene‐based prognostic signature and analysis of immune cells infiltration in children and young adults with B‐acute lymphoblastic leukemia

Xiang

2022

Molec Gen & Gen Med

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Background Although B‐acute lymphoblastic leukemia (B‐ALL) patients' survival has been improved dramatically, some cases still relapse. This study aimed to explore the prognosis‐related novel differentially expressed genes (DEGs) for predicting the overall survival (OS) of children and young adults (CAYAs) with B‐ALL and analyze the immune‐related factors contributing to poor prognosis. Methods GSE48558 and GSE79533 from Gene Expression Omnibus (GEO) and clinical sample information and mRNA‐seq from Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database were retrieved. Prognosis‐related key genes were enrolled to build a Cox proportional model using multivariate Cox regression. Five‐year OS of patients, clinical characteristic relevance and clinical independence were assessed based on the model. The mRNA levels of prognosis‐related genes were validated in our samples and the difference of immune cells composition between high‐risk and low‐risk patients were compared. Results One hundred and twelve DEGs between normal B cells and B‐ALL cells were identified based on GSE datasets. They were mainly participated in protein binding and HIF‐1 signaling pathway. One hundred and eighty‐nine clinical samples were enrolled in the study, both Kaplan–Meier (KM) analysis and univariate Cox regression analysis showed that CYBB, BCL2A1, IFI30, and EFNB1 were associated with prognosis, CYBB, BCL2A1, and EFNB1 were used to construct prognostic risk model. Moreover, compared to clinical indicators, the three‐gene signature was an independent prognostic factor for CAYAs with B‐ALL. Finally, the mRNA levels of CYBB, BCL2A1, and EFNB1 were significantly lower in B‐ALL group as compared to controls. The high‐risk group had a significantly higher percentage of infiltrated immune cells. Conclusion We constructed a novel three‐gene signature with independent prognostic factor for predicting 5‐year OS of CAYAs with B‐ALL. Additionally, we discovered the difference of immune cells composition between high‐risk and low‐risk groups. This study may help to customize individual treatment and improve prognosis of CAYAs with B‐ALL.

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Loss of EfnB1 in the osteogenic lineage compromises their capacity to support hematopoietic stem/progenitor cell maintenance

Cited by 15 publications

References 75 publications

Heterogeneity of murine periosteum progenitors involved in fracture healing

Heterogeneity of murine periosteum progenitors involved in fracture healing

High CD34 surface expression in BCP‐ALL predicts poor induction therapy response and is associated with altered expression of genes related to cell migration and adhesion

Construction of three‐gene‐based prognostic signature and analysis of immune cells infiltration in children and young adults with B‐acute lymphoblastic leukemia

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