Literature DB >> 24984278

Identification of differentiation-stage specific markers that define the ex vivo osteoblastic phenotype.

Natalie A Twine1, Li Chen2, Chi N Pang1, Marc R Wilkins1, Moustapha Kassem3.   

Abstract

The phenotype of osteoblastic (OB) cells in culture is currently defined using a limited number of markers of low sensitivity and specificity. For the clinical use of human skeletal (stromal, mesenchymal) stem cells (hMSC) in therapy, there is also a need to identify a set of gene markers that predict in vivo bone forming capacity. Thus, we used RNA sequencing to examine changes in expression for a set of skeletally-related genes across 8 time points between 0 and 12days of ex vivo OB differentiation of hMSC. We identified 123 genes showing significant temporal expression change. Hierarchical clustering and Pearson's correlation generated 4 groups of genes: early stage differentiation genes (peak expression: 0-24h, n=28) which were enriched for extracellular matrix organisation, e.g. COL1A1, LOX, and SERPINH1; middle stage differentiating genes (peak expression days: 3 and 6, n=20) which were enriched for extracellular matrix/skeletal system development e.g. BMP4, CYP24A1, and TGFBR2; and late stage differentiation genes (peak expression days: 9 and 12, n=27) which were enriched for bone development/osteoblast differentiation, e.g. BMP2 and IGF2. In addition, we identified 13 genes with bimodal temporal expression (2 peaks of expression: days 0 and 12) including VEGFA, PDGFA and FGF2. We examined the specificity of the 123 genes' expression in skeletal tissues and thus propose a set of ex vivo differentiation-stage-specific markers (n=21). In an independent analysis, we identified a subset of genes (n=20, e.g. ELN, COL11A1, BMP4) to predict the bone forming capacity of hMSC and another set (n=20, e.g. IGF2, TGFB2, SMAD3) associated with the ex vivo phenotype of hMSC obtained from osteoporotic patients.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Mesenchymal stem cells; Osteoblasts; Osteogenesis; Osteoporosis; RNA sequencing

Mesh:

Substances:

Year:  2014        PMID: 24984278     DOI: 10.1016/j.bone.2014.06.027

Source DB:  PubMed          Journal:  Bone        ISSN: 1873-2763            Impact factor:   4.398


  24 in total

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6.  Ponicidin Treatment Improved the Cell Proliferation, Differentiation, and Calcium Mineralization on the Osteoblast-Like MG-63 Cells.

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Journal:  Appl Biochem Biotechnol       Date:  2022-05-12       Impact factor: 3.094

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9.  Global MicroRNA Profiling in Human Bone Marrow Skeletal-Stromal or Mesenchymal-Stem Cells Identified Candidates for Bone Regeneration.

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Review 10.  Skeletal stem cells and their contribution to skeletal fragility: senescence and rejuvenation.

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Journal:  Biogerontology       Date:  2015-10-28       Impact factor: 4.277

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