| Title |
Characterization and Classification of Mesenchymal Stem Cells in Several Species Using Surface Markers for Cell Therapy Purposes
|
|---|---|
| Published in |
Indian Journal of Clinical Biochemistry, February 2017
|
| DOI | 10.1007/s12291-017-0641-x |
| Pubmed ID | |
| Authors |
Hori Ghaneialvar, Leila Soltani, Hamid Reza Rahmani, Abbas Sahebghadam Lotfi, Masoud Soleimani |
| Abstract |
Mesenchymal stem cells are multipotent cells capable of replicating as undifferentiated cells, and have the potential of differentiating into mesenchymal tissue lineages such as osteocytes, adipocytes and chondrocytes. Such lineages can then be used in cell therapy. The aim of present study was to characterize bone marrow derived mesenchymal stem cells in four different species, including: sheep, goat, human and mouse. Human bone-marrow mesenchymal stem cells were purchased, those of sheep and goat were isolated from fetal bone marrow, and those of mouse were collected by washing bone cavity of femur and tibia with DMEM/F12. Using flow-cytometry, they were characterized by CD surface antigens. Furthermore, cells of third passage were examined for their osteogenic and adipogenic differentiation potential by oil red and alizarin red staining respectively. According to the results, CD markers studied in the four groups of mesenchymal stem cells showed a different expression. Goat and sheep expressed CD44 and CD166, and weakly expressed CD34, CD45, CD105 and CD90. Similarly, human and mouse mesenchymal cells expressed CD44, CD166, CD105 and CD90 whereas the expression of CD34 and CD45 was negative. In conclusion, although all mesenchymal stem cells display plastic adherence and tri-lineage differentiation, not all express the same panel of surface antigens described for human mesenchymal stem cells. Additional panel of CD markers are necessary to characterize regenerative potential and possible application of these stem cells in regenerative medicine and implantology. |
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 % |
|---|---|---|
| Unknown | 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 13% |
| Student > Bachelor | 8 | 10% |
| Researcher | 6 | 8% |
| Student > Ph. D. Student | 5 | 6% |
| Other | 2 | 3% |
| Other | 7 | 9% |
| Unknown | 39 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 12% |
| Medicine and Dentistry | 7 | 9% |
| Veterinary Science and Veterinary Medicine | 4 | 5% |
| Agricultural and Biological Sciences | 4 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 8 | 10% |
| Unknown | 43 | 56% |
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 27 January 2018.
All research outputs
#18,584,192
of 23,018,998 outputs
Outputs from Indian Journal of Clinical Biochemistry
#253
of 374 outputs
Outputs of similar age
#312,368
of 422,958 outputs
Outputs of similar age from Indian Journal of Clinical Biochemistry
#4
of 7 outputs
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