A dishful of a troubled mind: Induced pluripotent stem cells in psychiatric research

Sára Kálmán, Edit Hathy, J. Réthelyi

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

Neuronal differentiation of induced pluripotent stem cells and direct reprogramming represent powerful methods for modeling the development of neurons in vitro. Moreover, this approach is also a means for comparing various cellular phenotypes between cell lines originating from healthy and diseased individuals or isogenic cell lines engineered to differ at only one or a few genomic loci. Despite methodological constraints and initial skepticism regarding this approach, the field is expanding at a fast pace. The improvements include the development of new differentiation protocols resulting in selected neuronal populations (e.g., dopaminergic, GABAergic, hippocampal, and cortical), the widespread use of genome editing methods, and single-cell techniques. A major challenge awaiting in vitro disease modeling is the integration of clinical data in the models, by selection of well characterized clinical populations. Ideally, these models will also demonstrate how different diagnostic categories share overlapping molecular disease mechanisms, but also have unique characteristics. In this review we evaluate studies with regard to the described developments, to demonstrate how differentiation of induced pluripotent stem cells and direct reprogramming can contribute to psychiatry.

Original languageEnglish
Article number7909176
JournalStem Cells International
Volume2016
DOIs
Publication statusPublished - 2016

Fingerprint

Induced Pluripotent Stem Cells
Psychiatry
Research
Cell Line
Population
Phenotype
Neurons
In Vitro Techniques
Cellular Reprogramming

ASJC Scopus subject areas

  • Cell Biology
  • Molecular Biology

Cite this

A dishful of a troubled mind : Induced pluripotent stem cells in psychiatric research. / Kálmán, Sára; Hathy, Edit; Réthelyi, J.

In: Stem Cells International, Vol. 2016, 7909176, 2016.

Research output: Contribution to journalArticle

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