3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A human stem cell-derived test system for agents modifying neuronal N-methyl-d-aspartate-type glutamate receptor Ca 2+-signalling

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Methods to assess neuronal receptor functions are needed in toxicology and for drug development. Human-based test systems that allow studies on glutamate signalling are still scarce. To address this issue, we developed and characterized pluripotent stem cell (PSC)-based neural cultures capable of forming a functional network. Starting from a stably proliferating neuroepithelial stem cell (NESC) population, we generate “mixed cortical cultures” (MCC) within 24 days. Characterization by immunocytochemistry, gene expression profiling and functional tests (multi-electrode arrays) showed that MCC contain various functional neurotransmitter receptors, and in particular, the N-methyl- d-aspartate subtype of ionotropic glutamate receptors (NMDA-R). As this important receptor is found neither on conventional neural cell lines nor on most stem cell-derived neurons, we focused here on the characterization of rapid glutamate-triggered Ca 2+ signalling. Changes of the intracellular free calcium ion concentration ([Ca 2+] i) were measured by fluorescent imaging as the main endpoint, and a method to evaluate and quantify signals in hundreds of cells at the same time was developed. We observed responses to glutamate in the low µM range. MCC responded to kainate and α-amino-3-hydroxy-5-methyl-4-isoxazolepropionic acid (AMPA), and a subpopulation of 50% had functional NMDA-R. The receptor was modulated by Mg 2+, Zn 2+ and Pb 2+ in the expected ways, and various toxicologically relevant agonists (quinolinic acid, ibotenic acid, domoic acid) triggered [Ca 2+] i responses in MCC. Antagonists, such as phencyclidine, ketamine and dextromethorphan, were also readily identified. Thus, the MCC developed here may fill an important gap in the panel of test systems available to characterize the effects of chemicals on neurotransmitter receptors.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s00204-021-03024-0.

          Related collections

          Most cited references106

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
            • Record: found
            • Abstract: found
            • Article: not found

            Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

            The two most commonly used methods to analyze data from real-time, quantitative PCR experiments are absolute quantification and relative quantification. Absolute quantification determines the input copy number, usually by relating the PCR signal to a standard curve. Relative quantification relates the PCR signal of the target transcript in a treatment group to that of another sample such as an untreated control. The 2(-Delta Delta C(T)) method is a convenient way to analyze the relative changes in gene expression from real-time quantitative PCR experiments. The purpose of this report is to present the derivation, assumptions, and applications of the 2(-Delta Delta C(T)) method. In addition, we present the derivation and applications of two variations of the 2(-Delta Delta C(T)) method that may be useful in the analysis of real-time, quantitative PCR data. Copyright 2001 Elsevier Science (USA).
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              g:Profiler: a web server for functional enrichment analysis and conversions of gene lists (2019 update)

              Abstract Biological data analysis often deals with lists of genes arising from various studies. The g:Profiler toolset is widely used for finding biological categories enriched in gene lists, conversions between gene identifiers and mappings to their orthologs. The mission of g:Profiler is to provide a reliable service based on up-to-date high quality data in a convenient manner across many evidence types, identifier spaces and organisms. g:Profiler relies on Ensembl as a primary data source and follows their quarterly release cycle while updating the other data sources simultaneously. The current update provides a better user experience due to a modern responsive web interface, standardised API and libraries. The results are delivered through an interactive and configurable web design. Results can be downloaded as publication ready visualisations or delimited text files. In the current update we have extended the support to 467 species and strains, including vertebrates, plants, fungi, insects and parasites. By supporting user uploaded custom GMT files, g:Profiler is now capable of analysing data from any organism. All past releases are maintained for reproducibility and transparency. The 2019 update introduces an extensive technical rewrite making the services faster and more flexible. g:Profiler is freely available at https://biit.cs.ut.ee/gprofiler.

                Author and article information

                Contributors
                marcel.leist@uni-konstanz.de
                Journal
                Arch Toxicol
                Arch Toxicol
                Archives of Toxicology
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                0340-5761
                1432-0738
                13 March 2021
                13 March 2021
                2021
                : 95
                : 5
                : 1703-1722
                Affiliations
                [1 ]GRID grid.9811.1, ISNI 0000 0001 0658 7699, In Vitro Toxicology and Biomedicine, Department Inaugurated by the Doerenkamp-Zbinden Foundation, , University of Konstanz, ; Universitaetsstr. 10, 78467 Konstanz, Germany
                [2 ]GRID grid.9811.1, ISNI 0000 0001 0658 7699, Cooperative Doctorate College InViTe, , University of Konstanz, ; Konstanz, Germany
                [3 ]GRID grid.9811.1, ISNI 0000 0001 0658 7699, Konstanz Research School Chemical Biology (KoRS-CB), , University of Konstanz, ; Konstanz, Germany
                [4 ]GRID grid.16008.3f, ISNI 0000 0001 2295 9843, Developmental and Cellular Biology, Luxembourg Centre for Systems Biomedicine (LCSB), , University of Luxembourg, ; 7, Avenue des Hauts-Fourneaux, 4362 Esch-sur-Alzette, Luxembourg
                [5 ]GRID grid.9811.1, ISNI 0000 0001 0658 7699, CAAT-Europe, University of Konstanz, ; Konstanz, Germany
                Author information
                http://orcid.org/0000-0002-9291-6862
                Article
                3024
                10.1007/s00204-021-03024-0
                8113295
                33713149
                69009f47-4360-4b7a-8b40-f5e84bf8d770
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 28 October 2020
                : 4 March 2021
                Funding
                Funded by: DK-EPA
                Award ID: MST-667-00205
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: 681002
                Award ID: 825759
                Award Recipient :
                Funded by: Universität Konstanz (3156)
                Categories
                In Vitro Systems
                Custom metadata
                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Toxicology
                ketamine,mea,phencyclidine,dextromethorphan,domoic acid,neurotoxicity,ibotenic acid
                Toxicology
                ketamine, mea, phencyclidine, dextromethorphan, domoic acid, neurotoxicity, ibotenic acid

                Comments

                Comment on this article

                Related Documents Log