Defining optimal enzyme and matrix combination for replating of human induced pluripotent stem cell-derived cardiomyocytes at different levels of maturity.


Journal

Experimental cell research
ISSN: 1090-2422
Titre abrégé: Exp Cell Res
Pays: United States
ID NLM: 0373226

Informations de publication

Date de publication:
15 06 2021
Historique:
received: 20 10 2020
revised: 25 03 2021
accepted: 04 04 2021
pubmed: 14 4 2021
medline: 22 9 2021
entrez: 13 4 2021
Statut: ppublish

Résumé

Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) create an unlimited cell source for basic and translational research. Depending on the maturity of cardiac cultures and the intended applications, obtaining hiPSC-CMs as a single-cell, monolayer or three-dimensional clusters can be challenging. Here, we defined strategies to replate hiPSC-CMs on early days (D15-30) or later more mature (D60-150) differentiation cultures. After generation of hiPSCs and derivation of cardiomyocytes, four dissociation reagents Collagenase A/B, Collagenase II, TrypLE, EDTA and five different extracellular matrix materials Laminin, iMatrix-511, Fibronectin, Matrigel, and Geltrex were comparatively evaluated by imaging, cell viability, and contraction analysis. For early cardiac differentiation cultures mimicking mostly the embryonic stage, the highest adhesion, cell viability, and beating frequencies were achieved by treatment with the TrypLE enzyme. Video-based contraction analysis demonstrated higher beating rates after replating compared to before treatment. For later differentiation days of more mature cardiac cultures, dissociation with EDTA and replating cells on Geltrex or Laminin-derivatives yielded better recovery. Cardiac clusters at various sizes were detected in several groups treated with collagenases. Collectively, our findings revealed the selection criteria of the dissociation approach and coating matrix for replating iPSC-CMs based on the maturity and the requirements of further downstream applications.

Identifiants

pubmed: 33848551
pii: S0014-4827(21)00131-2
doi: 10.1016/j.yexcr.2021.112599
pii:
doi:

Substances chimiques

B27 Lys destripeptide insulin 0
Biomarkers 0
Chir 99021 0
Culture Media 0
Drug Combinations 0
Fibronectins 0
Insulin 0
Kruppel-Like Factor 4 0
Kruppel-Like Transcription Factors 0
Laminin 0
MYC protein, human 0
Octamer Transcription Factor-3 0
POU5F1 protein, human 0
Proteoglycans 0
Proto-Oncogene Proteins c-myc 0
Pyridines 0
Pyrimidines 0
SOX2 protein, human 0
SOXB1 Transcription Factors 0
matrigel 119978-18-6
Collagen 9007-34-5
Collagenases EC 3.4.24.-

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

112599

Informations de copyright

Copyright © 2021 Elsevier Inc. All rights reserved.

Auteurs

Arzuhan Koc (A)

Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey; Department of Medical Microbiology, Health Sciences Institute, Istanbul Medipol University, Istanbul, Turkey.

Sevilay Sahoglu Goktas (S)

Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey; Neuroscience Program, Institute of Health Sciences, Istanbul Medipol University, Istanbul, Turkey.

Tuba Akgul Caglar (T)

Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey; Neuroscience Program, Institute of Health Sciences, Istanbul Medipol University, Istanbul, Turkey.

Esra Cagavi (E)

Regenerative and Restorative Medicine Research Center (REMER), Research Institute for Health Sciences and Technologies (SABITA), Istanbul Medipol University, Istanbul, Turkey; Department of Medical Biology, School of Medicine, Istanbul Medipol University, Istanbul, Turkey; Medical Biology and Genetics Graduate Program, Health Sciences Institute, Istanbul Medipol University, Istanbul, Turkey. Electronic address: ecagavi@medipol.edu.tr.

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Classifications MeSH