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      Transcriptome analysis of non human primate-induced pluripotent stem cell-derived cardiomyocytes in 2D monolayer culture vs. 3D engineered heart tissue

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          Abstract

          Aims

          Stem cell therapy has shown promise for treating myocardial infarction via re-muscularization and paracrine signalling in both small and large animals. Non-human primates (NHPs), such as rhesus macaques (Macaca mulatta), are primarily utilized in preclinical trials due to their similarity to humans, both genetically and physiologically. Currently, induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) are delivered into the infarcted myocardium by either direct cell injection or an engineered tissue patch. Although both approaches have advantages in terms of sample preparation, cell–host interaction, and engraftment, how the iPSC-CMs respond to ischaemic conditions in the infarcted heart under these two different delivery approaches remains unclear. Here, we aim to gain a better understanding of the effects of hypoxia on iPSC-CMs at the transcriptome level.

          Methods and results

          NHP iPSC-CMs in both monolayer culture (2D) and engineered heart tissue (EHT) (3D) format were exposed to hypoxic conditions to serve as surrogates of direct cell injection and tissue implantation in vivo, respectively. Outcomes were compared at the transcriptome level. We found the 3D EHT model was more sensitive to ischaemic conditions and similar to the native in vivo myocardium in terms of cell–extracellular matrix/cell–cell interactions, energy metabolism, and paracrine signalling.

          Conclusion

          By exposing NHP iPSC-CMs to different culture conditions, transcriptome profiling improves our understanding of the mechanism of ischaemic injury.

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          Most cited references46

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          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.
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            Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

            Circulation, 135(10)
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              Acute Myocardial Infarction.

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                Author and article information

                Contributors
                Journal
                Cardiovascular Research
                Oxford University Press (OUP)
                0008-6363
                1755-3245
                August 01 2021
                July 27 2021
                October 01 2020
                August 01 2021
                July 27 2021
                October 01 2020
                : 117
                : 9
                : 2125-2136
                Affiliations
                [1 ]Stanford Cardiovascular Institute, 265 Campus Drive G1120B, Stanford, CA 94305-5454, USA
                [2 ]Division of Cardiology, Department of Medicine, 265 Campus Drive G1120B, Stanford, CA 94305-5454, USA
                [3 ]Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine, 265 Campus Drive G1120B, Stanford, CA 94305-5454, USA
                [4 ]Department of Biomedical Engineering, University of North Texas, 390 N. Elm Street K240B, Denton, TX 76207-7102, USA
                [5 ]Department of Pediatrics, School of Medicine, One Shields Avenue, Davis, CA 95616-8542, USA
                [6 ]Department Cell Biology and Human Anatomy, School of Medicine, One Shields Avenue, Davis, CA 95616-8542, USA
                [7 ]California National Primate Research Center, UC Davis, One Shields Avenue, Davis, CA 95616-8542, USA
                Article
                10.1093/cvr/cvaa281
                33002105
                fd8a3eb1-e14d-4f3a-b76f-f352d9b976d5
                © 2020

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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