Regional transcriptome analysis of AMPA and GABAA receptor subunit expression generates E/I signatures of the human brain

Abstract Theoretical and experimental work has demonstrated that excitatory (E) and inhibitory (I) currents within cortical circuits stabilize to a balanced state. This E/I balance, observed from single neuron to network levels, has a fundamental role in proper brain function and its impairment has...

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Autores principales: Kevin Shen, Tommaso Zeppillo, Agenor Limon
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Publicado: Nature Portfolio 2020
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Acceso en línea:https://doaj.org/article/8bb5a3342ac040598e5e92620ab54c06
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spelling oai:doaj.org-article:8bb5a3342ac040598e5e92620ab54c062021-12-02T16:24:49ZRegional transcriptome analysis of AMPA and GABAA receptor subunit expression generates E/I signatures of the human brain10.1038/s41598-020-68165-12045-2322https://doaj.org/article/8bb5a3342ac040598e5e92620ab54c062020-07-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-68165-1https://doaj.org/toc/2045-2322Abstract Theoretical and experimental work has demonstrated that excitatory (E) and inhibitory (I) currents within cortical circuits stabilize to a balanced state. This E/I balance, observed from single neuron to network levels, has a fundamental role in proper brain function and its impairment has been linked to numerous brain disorders. Over recent years, large amount of microarray and RNA-Sequencing datasets have been collected, however few studies have made use of these resources for exploring the balance of global gene expression levels between excitatory AMPA receptors (AMPARs) and inhibitory GABAA receptors. Here, we analyzed the relative relationships between these receptors to generate a basic transcriptional marker of E/I ratio. Using publicly available data from the Allen Brain Institute, we generated whole brain and regional signatures of AMPAR subunit gene expression in healthy human brains as well as the transcriptional E/I (tE/I) ratio. Then we refined the tE/I ratio to cell-type signatures in the mouse brain using data from the Gene Expression Omnibus. Lastly, we applied our workflow to developmental data from the Allen Brain Institute and revealed spatially and temporally controlled changes in the tE/I ratio during the embryonic and early postnatal stages that ultimately lead to the tE/I balance in adults.Kevin ShenTommaso ZeppilloAgenor LimonNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-14 (2020)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Kevin Shen
Tommaso Zeppillo
Agenor Limon
Regional transcriptome analysis of AMPA and GABAA receptor subunit expression generates E/I signatures of the human brain
description Abstract Theoretical and experimental work has demonstrated that excitatory (E) and inhibitory (I) currents within cortical circuits stabilize to a balanced state. This E/I balance, observed from single neuron to network levels, has a fundamental role in proper brain function and its impairment has been linked to numerous brain disorders. Over recent years, large amount of microarray and RNA-Sequencing datasets have been collected, however few studies have made use of these resources for exploring the balance of global gene expression levels between excitatory AMPA receptors (AMPARs) and inhibitory GABAA receptors. Here, we analyzed the relative relationships between these receptors to generate a basic transcriptional marker of E/I ratio. Using publicly available data from the Allen Brain Institute, we generated whole brain and regional signatures of AMPAR subunit gene expression in healthy human brains as well as the transcriptional E/I (tE/I) ratio. Then we refined the tE/I ratio to cell-type signatures in the mouse brain using data from the Gene Expression Omnibus. Lastly, we applied our workflow to developmental data from the Allen Brain Institute and revealed spatially and temporally controlled changes in the tE/I ratio during the embryonic and early postnatal stages that ultimately lead to the tE/I balance in adults.
format article
author Kevin Shen
Tommaso Zeppillo
Agenor Limon
author_facet Kevin Shen
Tommaso Zeppillo
Agenor Limon
author_sort Kevin Shen
title Regional transcriptome analysis of AMPA and GABAA receptor subunit expression generates E/I signatures of the human brain
title_short Regional transcriptome analysis of AMPA and GABAA receptor subunit expression generates E/I signatures of the human brain
title_full Regional transcriptome analysis of AMPA and GABAA receptor subunit expression generates E/I signatures of the human brain
title_fullStr Regional transcriptome analysis of AMPA and GABAA receptor subunit expression generates E/I signatures of the human brain
title_full_unstemmed Regional transcriptome analysis of AMPA and GABAA receptor subunit expression generates E/I signatures of the human brain
title_sort regional transcriptome analysis of ampa and gabaa receptor subunit expression generates e/i signatures of the human brain
publisher Nature Portfolio
publishDate 2020
url https://doaj.org/article/8bb5a3342ac040598e5e92620ab54c06
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AT tommasozeppillo regionaltranscriptomeanalysisofampaandgabaareceptorsubunitexpressiongenerateseisignaturesofthehumanbrain
AT agenorlimon regionaltranscriptomeanalysisofampaandgabaareceptorsubunitexpressiongenerateseisignaturesofthehumanbrain
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