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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Discovery of Novel Cell Surface Markers for Purification of Embryonic Dopamine Progenitors for Transplantation in Parkinson's Disease Animal Models
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, May 2018
|
| DOI | 10.1074/mcp.ra118.000809 |
| Pubmed ID | |
| Authors |
Ali Fathi, Mehdi Mirzaei, Banafsheh Dolatyar, Mehdi Sharifitabar, Mahnaz Bayat, Ebrahim Shahbazi, Jaesuk Lee, Mohammad Javan, Su-Chun Zhang, Vivek Gupta, Bonghee Lee, Paul A Haynes, Hossein Baharvand, Ghasem Hosseini Salekdeh |
| Abstract |
Despite the progress in safety and efficacy of cell replacement therapy with pluripotent stem cells (PSCs), the presence of residual undifferentiated stem cells or proliferating neural progenitor cells (NPCs) with rostral identity remains a major challenge. Here we report the generation of a LIM homeobox transcription factor 1 alpha (LMX1A) knock-in GFP reporter human embryonic stem cell (hESC) line that marks the early dopaminergic progenitors during neural differentiation to find reliable membrane protein markers for isolation of midbrain dopaminergic neurons. Purified GFP positive cells in vitro exhibited expression of mRNA and proteins that characterized and matched the midbrain dopaminergic identity. Further quantitative proteomics analysis of enriched LMX1A+ cells identified several membrane-associated proteins including polysialylated embryonic form of neural cell adhesion molecule (PSA-NCAM) and contactin 2 (CNTN2), enabling prospective isolation of LMX1A+ progenitor cells. Transplantation of hPSC-derived purified CNTN2+ progenitors enhanced dopamine release from transplanted cells in the host brain and alleviated Parkinson's disease-related phenotypes in animal models. This study establishes an efficient approach for purification of large numbers of hPSC-derived dopaminergic progenitors for therapeutic applications. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 17% |
| Australia | 1 | 17% |
| France | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 44 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 10 | 23% |
| Researcher | 10 | 23% |
| Student > Master | 6 | 14% |
| Student > Ph. D. Student | 3 | 7% |
| Professor | 2 | 5% |
| Other | 3 | 7% |
| Unknown | 10 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 20% |
| Neuroscience | 9 | 20% |
| Biochemistry, Genetics and Molecular Biology | 7 | 16% |
| Agricultural and Biological Sciences | 3 | 7% |
| Nursing and Health Professions | 2 | 5% |
| Other | 5 | 11% |
| Unknown | 9 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 60. 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 14 March 2022.
All research outputs
#709,112
of 25,382,440 outputs
Outputs from Molecular and Cellular Proteomics
#39
of 3,221 outputs
Outputs of similar age
#15,638
of 344,685 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#3
of 42 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,221 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 98% of its peers.
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 344,685 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.