Single-cell transcriptomics reveals multiple neuronal cell types in human midbrain-specific organoids

التفاصيل البيبلوغرافية
العنوان: Single-cell transcriptomics reveals multiple neuronal cell types in human midbrain-specific organoids
المؤلفون: Lisa M. Smits, Silvia Bolognin, Alexander Skupin, Paul Antony, Jens Christian Schwamborn, Kamil Grzyb, Stefano Magni, Rejko Krueger
المصدر: bioRxiv
بيانات النشر: Cold Spring Harbor Laboratory, 2019.
سنة النشر: 2019
مصطلحات موضوعية: 0303 health sciences, Cell type, Cell, Dopaminergic, Biology, 3. Good health, Midbrain, 03 medical and health sciences, Glutamatergic, 0302 clinical medicine, medicine.anatomical_structure, nervous system, Dopamine, medicine, Organoid, GABAergic, Neuroscience, 030217 neurology & neurosurgery, health care economics and organizations, 030304 developmental biology, medicine.drug
الوصف: Human stem cell-derived organoids have great potential for modelling physiological and pathological processes. They recapitulatein vitrothe organisation and function of a respective organ or part of an organ. Human midbrain organoids (hMOs) have been described to contain midbrain-specific dopaminergic neurons that release the neurotransmitter dopamine. However, the human midbrain contains also additional neuronal cell types, which are functionally interacting with each other. Here, we analysed hMOs at high-resolution by means of single-cell RNA-sequencing (scRNA-seq), imaging and electrophysiology to unravel cell heterogeneity. Our findings demonstrate that hMOs show essential neuronal functional properties as spontaneous electrophysiological activity of different neuronal subtypes, including dopaminergic, GABAergic, and glutamatergic neurons. Recapitulating thesein vivofeatures makes hMOs an excellent tool forin vitrodisease phenotyping and drug discovery.
اللغة: English
DOI: 10.1101/589598
الوصول الحر: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0a646cd73971d1f8019bdb266470e62eTest
حقوق: OPEN
رقم الانضمام: edsair.doi.dedup.....0a646cd73971d1f8019bdb266470e62e
قاعدة البيانات: OpenAIRE