| Title |
The effect of five proteins on stem cells used for osteoblast differentiation and proliferation: a current review of the literature
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, April 2013
|
| DOI | 10.1007/s00018-013-1326-0 |
| Pubmed ID | |
| Authors |
P. Chatakun, R. Núñez-Toldrà, E. J. Díaz López, C. Gil-Recio, E. Martínez-Sarrà, F. Hernández-Alfaro, E. Ferrés-Padró, L. Giner-Tarrida, M. Atari |
| Abstract |
Bone-tissue engineering is a therapeutic target in the field of dental implant and orthopedic surgery. It is therefore essential to find a microenvironment that enhances the growth and differentiation of osteoblasts both from mesenchymal stem cells (MSCs) and those derived from dental pulp. The aim of this review is to determine the relationship among the proteins fibronectin (FN), osteopontin (OPN), tenascin (TN), bone sialoprotein (BSP), and bone morphogenetic protein (BMP2) and their ability to coat different types of biomaterials and surfaces to enhance osteoblast differentiation. Pre-treatment of biomaterials with FN during the initial phase of osteogenic differentiation on all types of surfaces, including slotted titanium and polymers, provides an ideal microenvironment that enhances adhesion, morphology, and proliferation of pluripotent and multipotent cells. Likewise, in the second stage of differentiation, surface coating with BMP2 decreases the diameter and the pore size of the scaffold, causing better adhesion and reduced proliferation of BMP-MSCs. Coating oligomerization surfaces with OPN and BSP promotes cell adhesion, but it is clear that the polymeric coating material BSP alone is insufficient to induce priming of MSCs and functional osteoblastic differentiation in vivo. Finally, TN is involved in mineralization and can accelerate new bone formation in a multicellular environment but has no effect on the initial stage of osteogenesis. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| Spain | 1 | <1% |
| Colombia | 1 | <1% |
| Ireland | 1 | <1% |
| Unknown | 141 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 20% |
| Student > Master | 29 | 20% |
| Student > Bachelor | 16 | 11% |
| Researcher | 13 | 9% |
| Student > Doctoral Student | 8 | 5% |
| Other | 18 | 12% |
| Unknown | 33 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 36 | 25% |
| Agricultural and Biological Sciences | 22 | 15% |
| Biochemistry, Genetics and Molecular Biology | 20 | 14% |
| Engineering | 13 | 9% |
| Materials Science | 6 | 4% |
| Other | 14 | 10% |
| Unknown | 35 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 April 2013.
All research outputs
#18,530,416
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#3,334
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Outputs of similar age
#146,971
of 201,215 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#26
of 48 outputs
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