PULSATILE FLOW ANALYSIS AT BRANCHED POINT IN ECM-BASED ENDOTHELIAL VASCULAR MODEL UNDER MECHANICAL STRETCH

Jumpei Muramatsu, Michinao Hashimoto, Shigenori Miura, Hiroaki Onoe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes a stretchable extracellular matrix (ECM)-based in vitro endothelial vascular model with branched channels that can reproduce mechanically driven pulsatile flow. We imaged and analyzed the pulsatile flow at the branched points that are unique structures of blood vessels. The analysis revealed characteristic flow streams to the cultured endothelial cells near the branched points. We believe that our system would reveal the complex mechanical cellular response in blood vessels and enable the construction of mature in vitro vascular tissues.

Original languageEnglish
Title of host publicationMicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences
PublisherChemical and Biological Microsystems Society
Pages305-306
Number of pages2
ISBN (Electronic)9781733419031
Publication statusPublished - 2021
Event25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 - Palm Springs, Virtual, United States
Duration: 2021 Oct 102021 Oct 14

Publication series

NameMicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences

Conference

Conference25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021
Country/TerritoryUnited States
CityPalm Springs, Virtual
Period21/10/1021/10/14

Keywords

  • ECM Microchannel
  • Endothelial Cell
  • Mechanical Stimulus
  • Perfusion
  • Pulsatile Flow
  • Stretching

ASJC Scopus subject areas

  • Bioengineering
  • Chemical Engineering (miscellaneous)

Fingerprint

Dive into the research topics of 'PULSATILE FLOW ANALYSIS AT BRANCHED POINT IN ECM-BASED ENDOTHELIAL VASCULAR MODEL UNDER MECHANICAL STRETCH'. Together they form a unique fingerprint.

Cite this