14 research outputs found

    Identification and Purification of Human Induced Pluripotent Stem Cell-Derived Atrial-Like Cardiomyocytes Based on Sarcolipin Expression

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    <div><p>The use of human stem cell-derived cardiomyocytes to study atrial biology and disease has been restricted by the lack of a reliable method for stem cell-derived atrial cell labeling and purification. The goal of this study was to generate an atrial-specific reporter construct to identify and purify human stem cell-derived atrial-like cardiomyocytes. We have created a bacterial artificial chromosome (BAC) reporter construct in which fluorescence is driven by expression of the atrial-specific gene sarcolipin (<i>SLN</i>). When purified using flow cytometry, cells with high fluorescence specifically express atrial genes and display functional calcium handling and electrophysiological properties consistent with atrial cardiomyocytes. Our data indicate that <i>SLN</i> can be used as a marker to successfully monitor and isolate hiPSC-derived atrial-like cardiomyocytes. These purified cells may find many applications, including in the study of atrial-specific pathologies and chamber-specific lineage development.</p></div

    BAC transgene and expression in hiPSC-derived cardiomyocytes.

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    <p>(a) Schematic of recombineered BAC containing a tdTomato-<i>Rex1</i>-Neo<sup>R</sup> cassette. (b) tdTomato fluorescence in differentiating EBs appeared at Day 10 of differentiation and increased over time, lasting up to 60 days. Scale bars, 1000 ”m. (c) qPCR of differentiating EBs showing timeline of expression of <i>cTNT, SLN,</i> and <i>ANP</i> consistent with the appearance of red fluorescence. (d) Dissociated red<sup>+</sup> cells were positive for cTNT by immunofluorescence. Scale bars, 100 ”m.</p

    Purification and characterization of red<sup>high</sup> and red<sup>low</sup> cells.

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    <p>(a) Cell sorting strategy to purify red<sup>high</sup> and red<sup>low</sup> cardiomyocytes. Cells were first gated on the total cardiomyocyte population, marked as SIRPα<sup>+</sup>/CD90<sup>−</sup>, and then purified based on high or low levels of red fluorescence. (b) qPCR for relevant atrial (<i>SLN, ANP)</i> and ventricular (<i>MYL2, HRT2)</i> genes in purified red<sup>high</sup> (n = 3) and red<sup>low</sup> (n = 3) populations. (**p<0.01, ***p<0.001, ****p<0.0001). (c) Immunofluorescence for MLC2v showing exclusive expression in red<sup>low</sup> population. Scale bars, 200 ”m. (d) Quantification of fraction red<sup>low</sup> (n = 143) and red<sup>high</sup> (n = 514) cells expressing MLC2v protein from (c).</p

    Red<sup>high</sup> cells display electrophysiological properties similar to atrial cardiomyocytes.

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    <p>(a) Representative triggered action potential traces recorded from red<sup>high</sup> and red<sup>low</sup> cells. (b) Quantification of APD<sub>50</sub> and APD<sub>90</sub> for red<sup>high</sup> (n = 15) and red<sup>low</sup> (n = 10) cells (***p<0.001, *p<0.05). (c–e) Expression of depolarization-activated potassium currents. (c) Upper panel: representative instantaneous outward currents. Lower panel: representative sustained potassium currents. (d) Comparison of peak instantaneous outward currents between red<sup>high</sup> (n = 7) and red<sup>low</sup> (n = 8) cells. (e) Comparison of I–V curves of sustained potassium currents between red<sup>high</sup> and red<sup>low</sup> cells (***p<0.001). (f) qPCR for gene expression of the I<sub>Kur</sub> subunit <i>KCNA5</i> and I<sub>KAch</sub> subunit <i>KCNJ3</i>, revealing increased expression in red<sup>high</sup> cells (*p<0.05, ****p<0.0001). All genes normalized to expression of <i>GAPDH</i> and relative to gene expression in EBs.</p

    Red<sup>high</sup> cells possess functional Ca<sup>2+</sup> handling properties similar to atrial cardiomyocytes.

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    <p>(a) Representative spontaneous calcium transients recorded from red<sup>high</sup> and red<sup>low</sup> cells. (b) Quantification of calcium transient decay and interval properties in red<sup>high</sup> (n = 13) and red<sup>low</sup> (n = 13) cells (**p<0.01). (c) Quantification of beating rate in spontaneously beating red<sup>high</sup> (n = 22) and red<sup>low</sup> (n = 23) cells (****p<0.0001).</p

    Analysis of Transcriptional Variability in a Large Human iPSC Library Reveals Genetic and Non-genetic Determinants of Heterogeneity

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    Variability in induced pluripotent stem cell (iPSC) lines remains a concern for disease modeling and regenerative medicine. We have used RNA sequencing analysis and linear mixed models to examine the sources of gene expression variability in 317 human iPSC lines from 101 individuals. We found that ~50% of genome-wide expression variability is explained by variation across individuals and identified a set of expression quantitative trait loci that contribute to this variation. These analyses coupled with allele specific expression show that iPSCs retain a donor specific gene expression pattern. Network, pathway and key driver analyses showed that Polycomb targets contribute significantly to the non-genetic variability seen within and across individuals, highlighting this chromatin regulator as a likely source of reprogramming-based variability. Our findings therefore shed light on variation between iPSC lines and illustrate the potential for our dataset and other similar large-scale analyses to identify underlying drivers relevant to iPSC applications
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