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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 1

Genome engineering an isogenic series of BAG3 mutations leads to sarcomeric disarray in human induced pluripotent stem cell–derived cardiomyocytes (iPS-CMs).

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Genome engineering an isogenic series of BAG3 mutations leads to sarcome...
(A) Schematic of the BAG3 gene with 4 exons in the predominant coding isoform. Because an alternatively spliced isoform excludes the first exon, the second exon was targeted for knockout. BAG3-knockout lines were generated using TALEN-induced (black triangle) targeted integration of the knockout vector in exon 2 (KO1). The vector included flanking left and right homology arms (LH and RH, respectively) with a terminator sequence in 3 reading frames followed by the mCherry fluorescent protein (FP) and a puromycin selection cassette (Pr) driven by the EF1α promoter. Transient expression of Cas9 with a guide RNA targeted downstream in exon 2 (open triangle) induced small insertions/deletions (indels) by nonhomologous end joining, resulting in frameshift and nonsense mutations (KO2). (B) Western blot for BAG3 protein in iPS-CMs. (C) Immunofluorescent staining and flow cytometry with antibody targeting BAG3 in iPS-CMs. Scale bars: 50 μm. (D) Examples of pathology seen in BAG3–/– iPS-CMs compared with WT controls. Cells were plated on glass coverslips, fixed, and stained with antibody against ACTN2 to label Z-disks. Scale bars: 50 μm. (E) Quantification of sarcomeric disarray from blinded scoring on a 5-point scale, with disarray defined as the percentage of cells scored as class 3–5. Individual replicates are plotted with mean and SD. Brackets indicate significant differences (P < 0.001) by 1-way ANOVA with Bonferroni’s test for multiple comparisons. For KO1 analysis, 7–9 independent cultures per line from 3 separate differentiations were scored. For KO2 analysis, 4–8 independent cultures per line from 2 separate differentiations were scored.

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