Disease Modeling in Human Induced Pluripotent Stem Cell Derived Cardiomyocytes Using High-Throughput All-Optical Dynamic Cardiac Electrophysiology

2016 ◽  
Author(s):  
Aleksandra Klimas ◽  
Yiyang Wu ◽  
Christina M. Ambrosi ◽  
Jinzhu Yu ◽  
John C. Williams ◽  
...  
Keyword(s):  
Stem Cell ◽  
High Throughput ◽  
Cardiac Electrophysiology ◽  
Pluripotent Stem Cell ◽  
Disease Modeling ◽  
Induced Pluripotent Stem Cell ◽  
All Optical ◽  
Induced Pluripotent

scholarly journals NRF2 is required for structural and metabolic maturation of human induced pluripotent stem cell-derived ardiomyocytes

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Xinyuan Zhang ◽  
Liang Ye ◽  
Hao Xu ◽  
Qin Zhou ◽  
Bin Tan ◽  
...  
Keyword(s):  
Stem Cell ◽  
Oxidative Phosphorylation ◽  
Pluripotent Stem Cell ◽  
Disease Modeling ◽  
Induced Pluripotent Stem Cell ◽  
Metabolic Energy ◽  
Cell Maturation ◽  
Great Promise ◽  
Functional Changes ◽  
Induced Pluripotent

Abstract Background Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) hold great promise for regenerative medicine and in drugs screening. Despite displaying key cardiomyocyte phenotypic characteristics, they more closely resemble fetal/neonatal cardiomyocytes and are still immature; these cells mainly rely on glucose as a substrate for metabolic energy, while mature cardiomyocytes mainly employ oxidative phosphorylation of fatty acids. Studies showed that the alteration of metabolism pattern from glycolysis to oxidative phosphorylation improve the maturity of hiPSC-CMs. As a transcription factor, accumulating evidences showed the important role of NRF2 in the regulation of energy metabolism, which directly regulates the expression of mitochondrial respiratory complexes. Therefore, we hypothesized that NRF2 is involved in the maturation of hiPSC-CMs. Methods The morphological and functional changes related to mitochondria and cell maturation were analyzed by knock-down and activation of NRF2. Results The results showed that the inhibition of NRF2 led to the retardation of cell maturation. The activation of NRF2 leads to a more mature hiPSC-CMs phenotype, as indicated by the increase of cardiac maturation markers, sarcomere length, calcium transient dynamics, the number and fusion events of mitochondria, and mitochondrial respiration. Bioinformatics analysis showed that in addition to metabolism-related genes, NRF2 also activates the expression of myocardial ion channels. Conclusions These findings indicated that NRF2 plays an important role in the maturation of hiPSC-CMs. The present work provides greater insights into the molecular regulation of hiPSC-CMs metabolism and theoretical basis in drug screening, disease modeling, and alternative treatment.

scholarly journals Disease Modeling and Disease Gene Discovery in Cardiomyopathies: A Molecular Study of Induced Pluripotent Stem Cell Generated Cardiomyocytes

2021 ◽  
Vol 22 (7) ◽  
pp. 3311
Author(s):  
Satish Kumar ◽  
Joanne E. Curran ◽  
Kashish Kumar ◽  
Erica DeLeon ◽  
Ana C. Leandro ◽  
...  
Keyword(s):  
Stem Cell ◽  
Pluripotent Stem Cell ◽  
Disease Gene ◽  
Disease Modeling ◽  
Gene Discovery ◽  
Induced Pluripotent Stem Cell ◽  
P Value ◽  
Disease Gene Discovery ◽  
Induced Pluripotent

The in vitro modeling of cardiac development and cardiomyopathies in human induced pluripotent stem cell (iPSC)-derived cardiomyocytes (CMs) provides opportunities to aid the discovery of genetic, molecular, and developmental changes that are causal to, or influence, cardiomyopathies and related diseases. To better understand the functional and disease modeling potential of iPSC-differentiated CMs and to provide a proof of principle for large, epidemiological-scale disease gene discovery approaches into cardiomyopathies, well-characterized CMs, generated from validated iPSCs of 12 individuals who belong to four sibships, and one of whom reported a major adverse cardiac event (MACE), were analyzed by genome-wide mRNA sequencing. The generated CMs expressed CM-specific genes and were highly concordant in their total expressed transcriptome across the 12 samples (correlation coefficient at 95% CI =0.92 ± 0.02). The functional annotation and enrichment analysis of the 2116 genes that were significantly upregulated in CMs suggest that generated CMs have a transcriptomic and functional profile of immature atrial-like CMs; however, the CMs-upregulated transcriptome also showed high overlap and significant enrichment in primary cardiomyocyte (p-value = 4.36 × 10−9), primary heart tissue (p-value = 1.37 × 10−41) and cardiomyopathy (p-value = 1.13 × 10−21) associated gene sets. Modeling the effect of MACE in the generated CMs-upregulated transcriptome identified gene expression phenotypes consistent with the predisposition of the MACE-affected sibship to arrhythmia, prothrombotic, and atherosclerosis risk.

scholarly journals Machine Learning Approach to Automated Quality Identification of Human Induced Pluripotent Stem Cell Colony Images

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Henry Joutsijoki ◽  
Markus Haponen ◽  
Jyrki Rasku ◽  
Katriina Aalto-Setälä ◽  
Martti Juhola
Keyword(s):  
Machine Learning ◽  
Stem Cell ◽  
Pluripotent Stem Cell ◽  
Disease Modeling ◽  
Induced Pluripotent Stem Cell ◽  
Patient Specific ◽  
Support Vector ◽  
Ips Cell ◽  
Cell Technology ◽  
Induced Pluripotent

The focus of this research is on automated identification of the quality of human induced pluripotent stem cell (iPSC) colony images. iPS cell technology is a contemporary method by which the patient’s cells are reprogrammed back to stem cells and are differentiated to any cell type wanted. iPS cell technology will be used in future to patient specific drug screening, disease modeling, and tissue repairing, for instance. However, there are technical challenges before iPS cell technology can be used in practice and one of them is quality control of growing iPSC colonies which is currently done manually but is unfeasible solution in large-scale cultures. The monitoring problem returns to image analysis and classification problem. In this paper, we tackle this problem using machine learning methods such as multiclass Support Vector Machines and several baseline methods together with Scaled Invariant Feature Transformation based features. We perform over 80 test arrangements and do a thorough parameter value search. The best accuracy (62.4%) for classification was obtained by using ak-NN classifier showing improved accuracy compared to earlier studies.

scholarly journals “Betwixt Mine Eye and Heart a League Is Took”: The Progress of Induced Pluripotent Stem-Cell-Based Models of Dystrophin-Associated Cardiomyopathy

2020 ◽  
Vol 21 (19) ◽  
pp. 6997 ◽  
Author(s):  
Davide Rovina ◽  
Elisa Castiglioni ◽  
Francesco Niro ◽  
Sara Mallia ◽  
Giulio Pompilio ◽  
...  
Keyword(s):  
Stem Cell ◽  
Muscular Dystrophy ◽  
Pluripotent Stem Cell ◽  
Disease Modeling ◽  
Disease Model ◽  
Induced Pluripotent Stem Cell ◽  
Patient Specific ◽  
Great Promise ◽  
Cord Injury ◽  
Induced Pluripotent

The ultimate goal of precision disease modeling is to artificially recreate the disease of affected people in a highly controllable and adaptable external environment. This field has rapidly advanced which is evident from the application of patient-specific pluripotent stem-cell-derived precision therapies in numerous clinical trials aimed at a diverse set of diseases such as macular degeneration, heart disease, spinal cord injury, graft-versus-host disease, and muscular dystrophy. Despite the existence of semi-adequate treatments for tempering skeletal muscle degeneration in dystrophic patients, nonischemic cardiomyopathy remains one of the primary causes of death. Therefore, cardiovascular cells derived from muscular dystrophy patients’ induced pluripotent stem cells are well suited to mimic dystrophin-associated cardiomyopathy and hold great promise for the development of future fully effective therapies. The purpose of this article is to convey the realities of employing precision disease models of dystrophin-associated cardiomyopathy. This is achieved by discussing, as suggested in the title echoing William Shakespeare’s words, the settlements (or “leagues”) made by researchers to manage the constraints (“betwixt mine eye and heart”) distancing them from achieving a perfect precision disease model.

High-throughput screening of human induced pluripotent stem cell-derived brain organoids

2020 ◽  
Vol 335 ◽  
pp. 108627 ◽  
Author(s):  
Madel Durens ◽  
Jonathan Nestor ◽  
Madeline Williams ◽  
Kevin Herold ◽  
Robert F. Niescier ◽  
...  
Keyword(s):  
Stem Cell ◽  
High Throughput ◽  
High Throughput Screening ◽  
Pluripotent Stem Cell ◽  
Induced Pluripotent Stem Cell ◽  
Induced Pluripotent

scholarly journals Potential Consequences of the Red Blood Cell Storage Lesion on Cardiac Electrophysiology

2020 ◽  
Vol 9 (21) ◽  
Author(s):  
Marissa Reilly ◽  
Chantal D. Bruno ◽  
Tomas M. Prudencio ◽  
Nina Ciccarelli ◽  
Devon Guerrelli ◽  
...  
Keyword(s):  
Stem Cell ◽  
Blood Cell ◽  
Red Blood Cell ◽  
Cardiac Electrophysiology ◽  
Pluripotent Stem Cell ◽  
Induced Pluripotent Stem Cell ◽  
Cardiac Complications ◽  
Blood Products ◽  
Storage Lesion ◽  
Induced Pluripotent

Background The red blood cell (RBC) storage lesion is a series of morphological, functional, and metabolic changes that RBCs undergo following collection, processing, and refrigerated storage for clinical use. Since the biochemical attributes of the RBC unit shifts with time, transfusion of older blood products may contribute to cardiac complications, including hyperkalemia and cardiac arrest. We measured the direct effect of storage age on cardiac electrophysiology and compared it with hyperkalemia, a prominent biomarker of storage lesion severity. Methods and Results Donor RBCs were processed using standard blood‐banking techniques. The supernatant was collected from RBC units, 7 to 50 days after donor collection, for evaluation using Langendorff‐heart preparations (rat) or human induced pluripotent stem cell–derived cardiomyocytes. Cardiac parameters remained stable following exposure to “fresh” supernatant from red blood cell units (day 7: 5.8±0.2 mM K + ), but older blood products (day 40: 9.3±0.3 mM K + ) caused bradycardia (baseline: 279±5 versus day 40: 216±18 beats per minute), delayed sinus node recovery (baseline: 243±8 versus day 40: 354±23 ms), and increased the effective refractory period of the atrioventricular node (baseline: 77±2 versus day 40: 93±7 ms) and ventricle (baseline: 50±3 versus day 40: 98±10 ms) in perfused hearts. Beating rate was also slowed in human induced pluripotent stem cell–derived cardiomyocytes after exposure to older supernatant from red blood cell units (−75±9%, day 40 versus control). Similar effects on automaticity and electrical conduction were observed with hyperkalemia (10–12 mM K + ). Conclusions This is the first study to demonstrate that “older” blood products directly impact cardiac electrophysiology, using experimental models. These effects are likely caused by biochemical alterations in the supernatant from red blood cell units that occur over time, including, but not limited to hyperkalemia. Patients receiving large volume and/or rapid transfusions may be sensitive to these effects.

scholarly journals A computational model of induced pluripotent stem-cell derived cardiomyocytes for high throughput risk stratification of KCNQ1 genetic variants

2020 ◽  
Vol 16 (8) ◽  
pp. e1008109 ◽  
Author(s):  
Divya C. Kernik ◽  
Pei-Chi Yang ◽  
Junko Kurokawa ◽  
Joseph C. Wu ◽  
Colleen E. Clancy
Keyword(s):  
Stem Cell ◽  
Risk Stratification ◽  
Computational Model ◽  
High Throughput ◽  
Genetic Variants ◽  
Pluripotent Stem Cell ◽  
Induced Pluripotent Stem Cell ◽  
Induced Pluripotent

scholarly journals Induced pluripotent stem cell-based disease modeling identifies ligand-induced decay of megalin as a cause of Donnai-Barrow syndrome

2020 ◽  
Vol 98 (1) ◽  
pp. 159-167 ◽  
Author(s):  
Julia Flemming ◽  
Maike Marczenke ◽  
Ina-Maria Rudolph ◽  
Rikke Nielsen ◽  
Tina Storm ◽  
...  
Keyword(s):  
Stem Cell ◽  
Pluripotent Stem Cell ◽  
Disease Modeling ◽  
Induced Pluripotent Stem Cell ◽  
Induced Pluripotent

scholarly journals Investigation of de novo mutations in a schizophrenia case-parent trio by induced pluripotent stem cell-based in vitro disease modeling: convergence of schizophrenia- and autism-related cellular phenotypes

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Edit Hathy ◽  
Eszter Szabó ◽  
Nóra Varga ◽  
Zsuzsa Erdei ◽  
Csongor Tordai ◽  
...  
Keyword(s):  
Stem Cell ◽  
Dentate Gyrus ◽  
Pluripotent Stem Cell ◽  
Disease Modeling ◽  
De Novo ◽  
Disease Onset ◽  
Induced Pluripotent Stem Cell ◽  
Synaptic Function ◽  
De Novo Mutations ◽  
Induced Pluripotent

Abstract Background De novo mutations (DNMs) have been implicated in the etiology of schizophrenia (SZ), a chronic debilitating psychiatric disorder characterized by hallucinations, delusions, cognitive dysfunction, and decreased community functioning. Several DNMs have been identified by examining SZ cases and their unaffected parents; however, in most cases, the biological significance of these mutations remains elusive. To overcome this limitation, we have developed an approach of using induced pluripotent stem cell (iPSC) lines from each member of a SZ case-parent trio, in order to investigate the effects of DNMs in cellular progenies of interest, particularly in dentate gyrus neuronal progenitors. Methods We identified a male SZ patient characterized by early disease onset and negative symptoms, who is a carrier of 3 non-synonymous DNMs in genes LRRC7, KHSRP, and KIR2DL1. iPSC lines were generated from his and his parents’ peripheral blood mononuclear cells using Sendai virus-based reprogramming and differentiated into neuronal progenitor cells (NPCs) and hippocampal dentate gyrus granule cells. We used RNASeq to explore transcriptomic differences and calcium (Ca2+) imaging, cell proliferation, migration, oxidative stress, and mitochondrial assays to characterize the investigated NPC lines. Results NPCs derived from the SZ patient exhibited transcriptomic differences related to Wnt signaling, neuronal differentiation, axonal guidance and synaptic function, and decreased Ca2+ reactivity to glutamate. Moreover, we could observe increased cellular proliferation and alterations in mitochondrial quantity and morphology. Conclusions The approach of reprograming case-parent trios represents an opportunity for investigating the molecular effects of disease-causing mutations and comparing these in cell lines with reduced variation in genetic background. Our results are indicative of a partial overlap between schizophrenia and autism-related phenotypes in the investigated family. Limitations Our study investigated only one family; therefore, the generalizability of findings is limited. We could not derive iPSCs from two other siblings to test for possible genetic effects in the family that are not driven by DNMs. The transcriptomic and functional assays were limited to the NPC stage, although these variables should also be investigated at the mature neuronal stage.

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