You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mesenchymal stem cells of different origin: Comparative evaluation of proliferative capacity, telomere length and pluripotency marker expression
|
|---|---|
| Published in |
Life Sciences, September 2015
|
| DOI | 10.1016/j.lfs.2015.09.019 |
| Pubmed ID | |
| Authors |
Drenka Trivanović, Aleksandra Jauković, Branka Popović, Jelena Krstić, Slavko Mojsilović, Ivana Okić-Djordjević, Tamara Kukolj, Hristina Obradović, Juan Francisco Santibanez, Diana Bugarski |
| Abstract |
In vitro expansion changes replication and differentiation capacity of mesenchymal stem cells (MSCs), increasing challenges and risks, while limiting the sufficient number of MSCs required for cytotherapy. Here, we characterized and compared proliferation, differentiation, telomere length and pluripotency marker expression in MSCs of various origins. Immunophenotyping, proliferation and differentiation assays were performed. Pluripotency marker (Nanog, Oct-4, SOX-2, SSEA-4) expression was determined by immunofluorescence. Quantitative PCR was performed for relative telomere length (RTL) analyses, while expression of relevant genes for pluripotency markers, differentiation state (Cbfa1, human placental alkaline phosphatase, peroxisome proliferator activated receptor, Sox9 and Collagen II a1), and telomerase reverse transcriptase (hTERT) was determined by semiquantitative RT-PCR. Peripheral blood MSCs (PB-MSCs) and umbilical cord MSCs (UC-MSCs) showed the highest, while periodontal ligament MSCs (PDL-MSCs) and adipose tissue MSCs (AT-MSCs) the lowest values of both the replication potential and RTL. Although MSCs from exfoliated deciduous teeth (SHEDs), PDL-MSCs and AT-MSCs showed higher mRNA expression of pluripotency markers, all MSCs expressed pluripotency marker proteins. SHEDs and PDL-MSCs showed prominent capacity for osteogenesis, PB-MSCs and UC-MSCs showed strengthened adipogenic differentiation potential, while AT-MSCs displayed similar differentiation into both lines. The MSCs populations derived from different sources, although displaying similar phenotype, exhibited high degree of variability regarding biological properties related to their self-renewal and differentiation capacity. These data indicate that for more accurate use in cell therapy, individualities of MSCs isolated from different tissues should be identified and taken into consideration when planning their use in clinical protocols. |
X Demographics
The data shown below were collected from the profiles of 3 X users 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 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 2% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Colombia | 1 | <1% |
| Unknown | 100 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 20% |
| Student > Master | 16 | 15% |
| Researcher | 10 | 10% |
| Student > Bachelor | 9 | 9% |
| Student > Postgraduate | 7 | 7% |
| Other | 17 | 16% |
| Unknown | 25 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 25 | 24% |
| Agricultural and Biological Sciences | 20 | 19% |
| Biochemistry, Genetics and Molecular Biology | 17 | 16% |
| Psychology | 3 | 3% |
| Engineering | 3 | 3% |
| Other | 12 | 11% |
| Unknown | 25 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 October 2015.
All research outputs
#15,169,949
of 25,374,917 outputs
Outputs from Life Sciences
#4,588
of 7,630 outputs
Outputs of similar age
#139,850
of 286,225 outputs
Outputs of similar age from Life Sciences
#18
of 50 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,630 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 286,225 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.