| Title |
Embryonic origins of human vascular smooth muscle cells: implications for in vitro modeling and clinical application
|
|---|---|
| Published in |
Cellular and Molecular Life Sciences, January 2014
|
| DOI | 10.1007/s00018-013-1554-3 |
| Pubmed ID | |
| Authors |
Sanjay Sinha, Dharini Iyer, Alessandra Granata |
| Abstract |
Vascular smooth muscle cells (SMCs) arise from multiple origins during development, raising the possibility that differences in embryological origins between SMCs could contribute to site-specific localization of vascular diseases. In this review, we first examine the developmental pathways and embryological origins of vascular SMCs and then discuss in vitro strategies for deriving SMCs from human embryonic stem cells (ESCs) and induced pluripotent stem cells (iPSCs). We then review in detail the potential for vascular disease modeling using iPSC-derived SMCs and consider the pathological implications of heterogeneous embryonic origins. Finally, we touch upon the role of human ESC-derived SMCs in therapeutic revascularization and the challenges remaining before regenerative medicine using ESC- or iPSC-derived cells comes of age. |
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 % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 2% |
| Germany | 1 | <1% |
| France | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 158 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 40 | 24% |
| Researcher | 24 | 15% |
| Student > Master | 19 | 12% |
| Student > Bachelor | 19 | 12% |
| Student > Doctoral Student | 8 | 5% |
| Other | 22 | 13% |
| Unknown | 32 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 44 | 27% |
| Agricultural and Biological Sciences | 33 | 20% |
| Medicine and Dentistry | 27 | 16% |
| Engineering | 9 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 4% |
| Other | 9 | 5% |
| Unknown | 36 | 22% |
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 2014.
All research outputs
#19,201,293
of 23,794,258 outputs
Outputs from Cellular and Molecular Life Sciences
#3,458
of 4,151 outputs
Outputs of similar age
#233,144
of 309,309 outputs
Outputs of similar age from Cellular and Molecular Life Sciences
#61
of 71 outputs
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