Elastomeric platform with surface wrinkling patterns to control cardiac cell alignment

Andrew House, Jason Cornick, Quratulain Butt, Murat Guvendiren

Research output: Contribution to journalArticlepeer-review


There is a growing interest in creating 2D cardiac tissue models that display native extracellular matrix (ECM) cues of the heart tissue. Cellular alignment alone is known to be a crucial cue for cardiac tissue development by regulating cell–cell and cell-ECM interactions. In this study, we report a simple and robust approach to create lamellar surface wrinkling patterns enabling spatial control of pattern dimensions with a wide range of pattern amplitude (A ≈ 2–55 μm) and wavelength (λ ≈ 35–100 μm). For human cardiomyocytes (hCMs) and human cardiac fibroblasts (hCFs), our results indicate that the degree of cellular alignment and pattern recognition are correlated with pattern A and λ. We also demonstrate fabrication of devices composed of micro-well arrays with user-defined lamellar patterns on the bottom surface of each well for high-throughput screening studies. Results from a screening study indicate that cellular alignment is strongly diminished with increasing seeding density. In another study, we show our ability to vary hCM/hCF seeding ratio for each well to create co-culture systems where seeding ratio is independent of cellular alignment.

Original languageEnglish (US)
Pages (from-to)1228-1242
Number of pages15
JournalJournal of Biomedical Materials Research - Part A
Issue number8
StatePublished - Aug 2023

All Science Journal Classification (ASJC) codes

  • Ceramics and Composites
  • Biomaterials
  • Biomedical Engineering
  • Metals and Alloys


  • biomaterial
  • cardiac co-culture
  • cardiac tissue model
  • combinatorial culture
  • combinatorial platform
  • high-throughput
  • human cardiac fibroblasts
  • human cardiomyocytes
  • tissue engineering


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