A Functional High-Throughput Assay of Myelination in Vitro

Abstract

Effective in vitro models of myelination, dysmyelination, and/or remyelination would substantially speed the development and testing of potential therapies for myelin disorders such as multiple sclerosis. Tissues engineered from human induced pluripotent stem (iPS) may be effective at accurately modeling aspects of human physiology for screening of potential therapies. Highly enriched populations cells of neural lineage were obtained from human iPS cell lines that will serve as sources of microengineered human tissue. Hydrogel micropatterning methods were identified that may suppor the culture of human neurons and remain amenable to optical stimulation and recording. Methods were established for non-invasive monitoring of evoked electrophysiological responses in microengineered tissue constructs with voltage-sensitive dyes. This work represents a unique combination of enabling technologies, including human iPS cells, microfabrication, and optical neural recording. Though the defined tasks were not able to be fully completed, the capabilities and limitations of combining these technologies have been determined and challenges that must be overcome have been identified. The goal of producing a high-throughput, functional assay of human neural activity was demonstrated to be feasible.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 2014
Accession Number
ADA608901

Entities

People

  • Michael J Moore

Organizations

  • Tulane University of Louisiana

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Astrocytes
  • Cell Line
  • Cells
  • Diseases And Disorders
  • Hydrogels
  • Medical Personnel
  • Monitoring
  • Multiple Sclerosis
  • Neuroglia
  • Neurons
  • Peripheral Nervous System
  • Physiology
  • Stem Cells
  • Throughput

Fields of Study

  • Biology
  • Medicine

Readers

  • Immunology and Pathology
  • Medical Imaging.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.