| Title |
Generation of functional human serotonergic neurons from fibroblasts
|
|---|---|
| Published in |
Molecular Psychiatry, October 2015
|
| DOI | 10.1038/mp.2015.161 |
| Pubmed ID | |
| Authors |
K C Vadodaria, J Mertens, A Paquola, C Bardy, X Li, R Jappelli, L Fung, M C Marchetto, M Hamm, M Gorris, P Koch, F H Gage |
| Abstract |
The brain's serotonergic system centrally regulates several physiological processes and its dysfunction has been implicated in the pathophysiology of several neuropsychiatric disorders. While in the past our understanding of serotonergic neurotransmission has come mainly from mouse models, the development of pluripotent stem cell and induced fibroblast-to-neuron (iN) transdifferentiation technologies has revolutionized our ability to generate human neurons in vitro. Utilizing these techniques and a novel lentiviral reporter for serotonergic neurons, we identified and overexpressed key transcription factors to successfully generate human serotonergic neurons. We found that overexpressing the transcription factors NKX2.2, FEV, GATA2 and LMX1B in combination with ASCL1 and NGN2 directly and efficiently generated serotonergic neurons from human fibroblasts. Induced serotonergic neurons (iSNs) showed increased expression of specific serotonergic genes that are known to be expressed in raphe nuclei. iSNs displayed spontaneous action potentials, released serotonin in vitro and functionally responded to selective serotonin reuptake inhibitors (SSRIs). Here, we demonstrate the efficient generation of functional human serotonergic neurons from human fibroblasts as a novel tool for studying human serotonergic neurotransmission in health and disease.Molecular Psychiatry advance online publication, 27 October 2015; doi:10.1038/mp.2015.161. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
| Members of the public | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| Japan | 1 | <1% |
| United Kingdom | 1 | <1% |
| Korea, Republic of | 1 | <1% |
| Unknown | 192 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 48 | 24% |
| Researcher | 33 | 17% |
| Student > Bachelor | 19 | 10% |
| Student > Master | 17 | 9% |
| Student > Doctoral Student | 12 | 6% |
| Other | 28 | 14% |
| Unknown | 40 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 46 | 23% |
| Neuroscience | 44 | 22% |
| Biochemistry, Genetics and Molecular Biology | 32 | 16% |
| Medicine and Dentistry | 12 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 2% |
| Other | 15 | 8% |
| Unknown | 44 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 August 2023.
All research outputs
#2,318,357
of 24,387,992 outputs
Outputs from Molecular Psychiatry
#1,651
of 4,394 outputs
Outputs of similar age
#33,208
of 289,695 outputs
Outputs of similar age from Molecular Psychiatry
#23
of 48 outputs
Altmetric has tracked 24,387,992 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,394 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 62% 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 289,695 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 48 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 54% of its contemporaries.