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A BAG3 chaperone complex maintains cardiomyocyte function during proteotoxic stress
Luke M. Judge, Juan A. Perez-Bermejo, Annie Truong, Alexandre J.S. Ribeiro, Jennie C. Yoo, Christina L. Jensen, Mohammad A. Mandegar, Nathaniel Huebsch, Robyn M. Kaake, Po-Lin So, Deepak Srivastava, Beth L. Pruitt, Nevan J. Krogan, Bruce R. Conklin
Luke M. Judge, Juan A. Perez-Bermejo, Annie Truong, Alexandre J.S. Ribeiro, Jennie C. Yoo, Christina L. Jensen, Mohammad A. Mandegar, Nathaniel Huebsch, Robyn M. Kaake, Po-Lin So, Deepak Srivastava, Beth L. Pruitt, Nevan J. Krogan, Bruce R. Conklin
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Research Article Cardiology Cell biology

A BAG3 chaperone complex maintains cardiomyocyte function during proteotoxic stress

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Abstract

Molecular chaperones regulate quality control in the human proteome, pathways that have been implicated in many diseases, including heart failure. Mutations in the BAG3 gene, which encodes a co-chaperone protein, have been associated with heart failure due to both inherited and sporadic dilated cardiomyopathy. Familial BAG3 mutations are autosomal dominant and frequently cause truncation of the coding sequence, suggesting a heterozygous loss-of-function mechanism. However, heterozygous knockout of the murine BAG3 gene did not cause a detectable phenotype. To model BAG3 cardiomyopathy in a human system, we generated an isogenic series of human induced pluripotent stem cells (iPSCs) with loss-of-function mutations in BAG3. Heterozygous BAG3 mutations reduced protein expression, disrupted myofibril structure, and compromised contractile function in iPSC-derived cardiomyocytes (iPS-CMs). BAG3-deficient iPS-CMs were particularly sensitive to further myofibril disruption and contractile dysfunction upon exposure to proteasome inhibitors known to cause cardiotoxicity. We performed affinity tagging of the endogenous BAG3 protein and mass spectrometry proteomics to further define the cardioprotective chaperone complex that BAG3 coordinates in the human heart. Our results establish a model for evaluating protein quality control pathways in human cardiomyocytes and their potential as therapeutic targets and susceptibility factors for cardiac drug toxicity.

Authors

Luke M. Judge, Juan A. Perez-Bermejo, Annie Truong, Alexandre J.S. Ribeiro, Jennie C. Yoo, Christina L. Jensen, Mohammad A. Mandegar, Nathaniel Huebsch, Robyn M. Kaake, Po-Lin So, Deepak Srivastava, Beth L. Pruitt, Nevan J. Krogan, Bruce R. Conklin

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Figure 3

BAG3 is required to prevent severe cardiotoxicity from the proteasome inhibitor bortezomib.

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BAG3 is required to prevent severe cardiotoxicity from the proteasome in...
(A) Automated video microscopy system (Cellogy Pulse) was used to serially measure induced pluripotent stem cell–derived cardiomyocyte (iPS-CM) contractility before and every 24 hours after exposure to bortezomib (0.1 μM). WT and BAG3-mutant (KO1) iPS-CMs were exposed to drug for 48 hours and then allowed to recover in RPMI/B27 media for 3 days. Contractility index represents the contraction peak height at each time point normalized to the baseline value for each well. Mean and SEM are plotted from 4–8 independent replicates. *P < 0.05 by 1-way ANOVA with Bonferroni’s test for multiple comparisons. (B) WT and BAG3-mutant iPS-CMs cultured on micropatterned substrates mimicking physiologic stiffness (10 kPa) were exposed to bortezomib (0.1 μM) for 48 hours and then allowed to recover in RPMI/B27 media for 3 days. Contraction power was measured at each time point and normalized to the baseline value for each population. Plotted are the mean and SEM of measurements from 9–24 cells at each time point. *P < 0.05 by 1-way ANOVA with Bonferroni’s test for multiple comparisons. (C and D) iPS-CMs were transfected with plasmid expressing fluorescent fusion protein ACTN2-mKate2 to label Z-disks. Individual cells were imaged at baseline and by time-lapse microscopy every 24 hours after treatment with DMSO (0.01%) or bortezomib (0.1 μM). Scale bars: 20 μm. (E) Individual cells were scored at each time point using the 5-point scoring system. The percentage of cells with disarray (class 3–5) was calculated from 4 separate cultures for each condition and plotted as the mean, with boxes representing interquartile range and whiskers showing min-max. Brackets indicate significant differences (P < 0.05) by 2-way ANOVA with Bonferroni’s test for multiple comparisons.

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