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dc.contributor.authorSzabo, Attila
dc.contributor.authorAkkouh, Ibrahim Ahmed
dc.contributor.authorVandenberghe, Matthieu
dc.contributor.authorOsete, Jordi Requena
dc.contributor.authorHughes, Timothy
dc.contributor.authorHeine, Vivi M.
dc.contributor.authorSmeland, Olav Bjerkehagen
dc.contributor.authorGlover, Joel Clinton
dc.contributor.authorAndreassen, Ole
dc.contributor.authorDjurovic, Srdjan
dc.date.accessioned2021-11-29T08:03:06Z
dc.date.available2021-11-29T08:03:06Z
dc.date.created2021-11-04T15:54:38Z
dc.date.issued2021
dc.identifier.issn2158-3188
dc.identifier.urihttps://hdl.handle.net/11250/2831793
dc.description.abstractWhile neurodevelopmental abnormalities have been associated with schizophrenia (SCZ), the role of astroglia in disease pathophysiology remains poorly understood. In the present study, we used a human induced pluripotent stem cell (iPSC)-derived astrocyte model to investigate the temporal patterns of astroglia differentiation during developmental stages critical for SCZ using RNA sequencing. The model generated astrocyte-specific gene expression patterns during differentiation that corresponded well to astroglia-specific expression signatures of in vivo cortical fetal development. Using this model we identified SCZ-specific expression dynamics, and found that SCZ-associated differentially expressed genes were significantly enriched in the medial prefrontal cortex, striatum, and temporal lobe, targeting VWA5A and ADAMTS19. In addition, SCZ astrocytes displayed alterations in calcium signaling, and significantly decreased glutamate uptake and metalloproteinase activity relative to controls. These results implicate novel transcriptional dynamics in astrocyte differentiation in SCZ together with functional changes that are potentially important biological components of SCZ pathology.en_US
dc.language.isoengen_US
dc.publisherSpringer Natureen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleA human iPSC-astroglia neurodevelopmental model reveals divergent transcriptomic patterns in schizophreniaen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.rights.holderCopyright The Author(s) 2021en_US
dc.source.articlenumber554en_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.doi10.1038/s41398-021-01681-4
dc.identifier.cristin1951517
dc.source.journalTranslational Psychiatryen_US
dc.identifier.citationTranslational Psychiatry. 2021, 11, 554.en_US
dc.source.volume11en_US


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