| Title |
Using Induced Pluripotent Stem Cells to Investigate Complex Genetic Psychiatric Disorders
|
|---|---|
| Published in |
Current Behavioral Neuroscience Reports, October 2016
|
| DOI | 10.1007/s40473-016-0100-7 |
| Pubmed ID | |
| Authors |
Stephanie J. Temme, Brady J. Maher, Kimberly M. Christian |
| Abstract |
Induced pluripotent stem cells (iPSCs) can be generated from human patient tissue samples, differentiated into any somatic cell type, and studied under controlled culture conditions. We review how iPSCs are used to investigate genetic factors and biological mechanisms underlying psychiatric disorders, and considerations for synthesizing data across studies. Results from patient specific-iPSC studies often reveal cellular phenotypes consistent with postmortem and brain imaging studies. Unpredicted findings illustrate the power of iPSCs as a discovery tool, but may also be attributable to limitations in modeling dynamic neural networks or difficulty in identifying the most affected neural subtype or developmental stage. Technological advances in differentiation protocols and organoid generation will enhance our ability to model the salient pathology underlying psychiatric disorders using iPSCs. The field will also benefit from context-driven interpretations of iPSC studies that recognize all potential sources of variability, including differences in patient symptomatology, genetic risk factors and affected cellular subtype. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 19% |
| Student > Master | 6 | 19% |
| Student > Ph. D. Student | 5 | 16% |
| Researcher | 4 | 13% |
| Lecturer | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 7 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 8 | 25% |
| Psychology | 5 | 16% |
| Agricultural and Biological Sciences | 5 | 16% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Medicine and Dentistry | 2 | 6% |
| Other | 2 | 6% |
| Unknown | 8 | 25% |
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 20 February 2017.
All research outputs
#18,482,034
of 22,901,818 outputs
Outputs from Current Behavioral Neuroscience Reports
#131
of 182 outputs
Outputs of similar age
#241,957
of 319,876 outputs
Outputs of similar age from Current Behavioral Neuroscience Reports
#7
of 11 outputs
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