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Engineering Human Brain Assembloids by Microfluidics.

Yujuan Zhu1,2, Xiaoxuan Zhang1, Lingyu Sun1

  • 1Department of Rheumatology and Immunology, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing, 210096, China.

Advanced Materials (Deerfield Beach, Fla.)
|January 12, 2023
PubMed
Summary
This summary is machine-generated.

Researchers developed a microfluidic system to create patterned human brain assembloids. This flexible technology enables scalable production of brain organoids for disease modeling and drug discovery.

Keywords:
assembloid-on-a-chipbrain assembloidsbrain organoidsmicrocapsulesmicrofluidics

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Area of Science:

  • Neuroscience
  • Biotechnology
  • Bioengineering

Background:

  • Brain assembloids are valuable for modeling human brain development and disease.
  • Conventional methods face challenges in producing uniform and flexibly assembled brain organoids.

Purpose of the Study:

  • To present an engineered strategy for generating human brain assembloids with desired patterning using microfluidic technology.
  • To enable flexible, scalable, and controlled assembly of brain organoids.

Main Methods:

  • Human induced pluripotent stem cells encapsulated in microcapsules via microfluidic electrospray to form brain region-specific organoids.
  • Organoids assembled in a microfluidic chip with micropillar and microhole arrays for controlled fusion.
  • Creation of patterned brain assembloids using designed 1D sequences or 2D arrays of organoid microcapsules.

Main Results:

  • Efficient formation of brain region-specific organoids.
  • Successful assembly and fusion of organoids into patterned brain assembloids.
  • Demonstrated growth and function of assembloids composed of cortical, hippocampal, and thalamic organoids, showing active neural migration and interaction.

Conclusions:

  • The microfluidic system provides a flexible, scalable, and controlled method for producing patterned human brain assembloids.
  • This technology holds significant potential for applications in neurological and biomedical fields, including disease modeling, regenerative medicine, and drug discovery.