Complex Oscillatory Waves Emerging from Cortical Organoids Model Early Human Brain Network Development.
Cleber A Trujillo, Richard Gao, Priscilla D Negraes, Jing Gu, Justin Buchanan, Sebastian Preissl, Allen Wang, Wei Wu, Gabriel G Haddad, Isaac A Chaim, Alain Domissy, Matthieu Vandenberghe, Anna Devor, Gene W Yeo, Bradley Voytek, Alysson R Muotri
Cell stem cell · 2019 · Vol. 25 (4) · pp. 558-569.e7
Abstract
Structural and transcriptional changes during early brain maturation follow fixed developmental programs defined by genetics. However, whether this is true for functional network activity remains unknown, primarily due to experimental inaccessibility of the initial stages of the living human brain. Here, we developed human cortical organoids that dynamically change cellular populations during maturation and exhibited consistent increases in electrical activity over the span of several months. The spontaneous network formation displayed periodic and regular oscillatory events that were dependent on glutamatergic and GABAergic signaling. The oscillatory activity transitioned to more spatiotemporally irregular patterns, and synchronous network events resembled features similar to those observed in preterm human electroencephalography. These results show that the development of structured network activity in a human neocortex model may follow stable genetic programming. Our approach provides opportunities for investigating and manipulating the role of network activity in the developing human cortex.
Linked datasets 1
Nested oscillatory dynamics in cortical organoids model early human brain network development
Homo sapiens
8 data files
| File | Type | Size |
|---|---|---|
| 10M_cortical_organoids_R1.fastq.gz | RNA-Seq | 6.2 GB |
| 1M_cortical_organoids_R1.fastq.gz | RNA-Seq | 16.2 GB |
| 3M_cortical_organoids_R1.fastq.gz | RNA-Seq | 7.7 GB |
| 6M_cortical_organoids_R1.fastq.gz | RNA-Seq | 6.4 GB |
| SRR8948931_GSM3734294 | RNA-Seq | 16.2 GB |
| SRR8948932_GSM3734295 | RNA-Seq | 7.7 GB |
| SRR8948933_GSM3734296 | RNA-Seq | 6.4 GB |
| SRR8948934_GSM3734297 | RNA-Seq | 6.2 GB |
Potentially related datasets 1
These accessions were text-mined from the PMC full text. They may be referenced for comparison, cited from other studies, or otherwise mentioned without being primary data for this paper.
Analysis pipelines 1
| Pipeline | Assay | Steps | Dataset |
|---|---|---|---|
| GSE130238 RNA-seq Data Processing geo_data_processing | RNA-seq | 3 | GSE130238 |
Funding 7 grants
| Grant | Funder |
|---|---|
| R01 MH108528 | NIMH NIH HHS (United States) |
| K12 GM068524 | NIGMS NIH HHS (United States) |
| R01 MH109885 | NIMH NIH HHS (United States) |
| R56 MH109587 | NIMH NIH HHS (United States) |
| R01 MH111359 | NIMH NIH HHS (United States) |
| R01 MH100175 | NIMH NIH HHS (United States) |
| R01 MH094753 | NIMH NIH HHS (United States) |