One-Stop Microfluidic Assembly of Human Brain Organoids To Model Prenatal Cannabis Exposure.


Journal

Analytical chemistry
ISSN: 1520-6882
Titre abrégé: Anal Chem
Pays: United States
ID NLM: 0370536

Informations de publication

Date de publication:
17 03 2020
Historique:
pubmed: 20 2 2020
medline: 26 1 2021
entrez: 20 2 2020
Statut: ppublish

Résumé

Prenatal cannabis exposure (PCE) influences human brain development, but it is challenging to model PCE using animals and current cell culture techniques. Here, we developed a one-stop microfluidic platform to assemble and culture human cerebral organoids from human embryonic stem cells (hESC) to investigate the effect of PCE on early human brain development. By incorporating perfusable culture chambers, air-liquid interface, and one-stop protocol, this microfluidic platform can simplify the fabrication procedure and produce a large number of organoids (169 organoids per 3.5 cm × 3.5 cm device area) without fusion, as compared with conventional fabrication methods. These one-stop microfluidic assembled cerebral organoids not only recapitulate early human brain structure, biology, and electrophysiology but also have minimal size variation and hypoxia. Under on-chip exposure to the psychoactive cannabinoid, Δ-9-tetrahydrocannabinol (THC), cerebral organoids exhibited reduced neuronal maturation, downregulation of cannabinoid receptor type 1 (CB1) receptors, and impaired neurite outgrowth. Moreover, transient on-chip THC treatment also decreased spontaneous firing in these organoids. This one-stop microfluidic technique enables a simple, scalable, and repeatable organoid culture method that can be used not only for human brain organoids but also for many other human organoids including liver, kidney, retina, and tumor organoids. This technology could be widely used in modeling brain and other organ development, developmental disorders, developmental pharmacology and toxicology, and drug screening.

Identifiants

pubmed: 32070103
doi: 10.1021/acs.analchem.0c00205
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

4630-4638

Auteurs

Zheng Ao (Z)

Department of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana 47405, United States.

Hongwei Cai (H)

Department of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana 47405, United States.

Daniel J Havert (DJ)

Department of Physics, Indiana University, Bloomington, Indiana 47405, United States.

Zhuhao Wu (Z)

Department of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana 47405, United States.

Zhiyi Gong (Z)

Department of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana 47405, United States.

John M Beggs (JM)

Department of Physics, Indiana University, Bloomington, Indiana 47405, United States.

Ken Mackie (K)

Gill Center for Biomolecular Science, and Department of Psychological and Brain Sciences, Indiana University, Bloomington, Indiana 47405, United States.

Feng Guo (F)

Department of Intelligent Systems Engineering, Indiana University, Bloomington, Indiana 47405, United States.

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Classifications MeSH