A biophysical approach to quantify skeletal stem cells trans-differentiation as a model for the study of osteoporosis
Biophysical Chemistry, ISSN: 0301-4622, Vol: 229, Page: 84-92
2017
- 10Citations
- 26Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations10
- Citation Indexes10
- 10
- CrossRef4
- Captures26
- Readers26
- 26
Article Description
The stroma of human bone marrow contains a population of skeletal stem cells (hBM-MSC) which are common ancestors, among the others, of osteoblasts and adipocytes. It has been proposed that the imbalance between hBM-MSC osteogenesis and adipogenesis, which naturally accompanies bone marrow senescence, may contribute to the development of bone-associated diseases, like osteoporosis. The possibility to reproduce this mechanism in vitro has been demonstrated, providing a good model to disclose the details of the complex bone-fat generation homeostasis. Nevertheless, the lack of a simple approach to quantitatively assess the actual stage of a cellular population hindered the adoption of this in vitro model.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S0301462217301230; http://dx.doi.org/10.1016/j.bpc.2017.05.011; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85020131007&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/28578832; https://linkinghub.elsevier.com/retrieve/pii/S0301462217301230; https://dx.doi.org/10.1016/j.bpc.2017.05.011
Elsevier BV
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