Victor Olariu
Senior lecturer
Three-dimensional co-culturing reveals human stem cell-derived somatostatin interneurons with subclass expression
Author
Summary, in English
Cortical interneuron deficiencies, particularly involving the somatostatin (SST) subtypes, contribute to neurological and neuropsychiatric disorders. These interneurons are difficult to derive in vitro from human embryonic stem cells (hESCs) due to their late embryonic development and dependence on glial interaction. To this end, we developed a three-dimensional co-culture model of hESC-derived neurons, enabling long-term development, functional maturity, and neuron-glial interaction. Under these conditions, hESCs successfully differentiated into functional GABAergic interneurons expressing the SST gene and protein within 50 days. Single-nuclei RNA sequencing revealed transcripts for SST subclasses, including Martinotti, non-Martinotti, and long-projecting neurons, that have not yet been described for hESC cultures. Upon injection into forebrain organoids, the interneuron progenitors spread and functionally matured while retaining their SST subclass identities, suggesting cell-intrinsic fate specification. Our in vitro model provides a robust platform for studying human SST interneurons, offering new avenues for investigating their role in health and disease.
Department/s
- Regenerative Neurophysiology
- Developmental and Regenerative Neurobiology
- StemTherapy: National Initiative on Stem Cells for Regenerative Therapy
- MultiPark: Multidisciplinary research on neurodegenerative diseases
- Computational Science for Health and Environment
- Centre for Environmental and Climate Science (CEC)
Publishing year
2025-09
Language
English
Publication/Series
Stem Cell Reports
Volume
20
Issue
9
Document type
Journal article
Publisher
Cell Press
Topic
- Neurosciences
Keywords
- 3D cell culture
- astrocytes
- disease modelling
- GABAergic interneurons
- glia precursor
- hESC
- MGE
- neuroscience
- patch-clamp electrophysiology
- somatostatin
Status
Published
Research group
- Regenerative Neurophysiology
- Developmental and Regenerative Neurobiology
- Computational Science for Health and Environment
ISBN/ISSN/Other
- ISSN: 2213-6711