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High-Throughput Strategy for Profiling Sequential Section With Multiplex Staining of Mouse Brain.

Siqi Chen1, Zhixiang Liu1, Anan Li1,2

  • 1Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China.

Frontiers in Neuroanatomy
|January 10, 2022
PubMed
Summary
This summary is machine-generated.

This study presents a new pipeline for efficient whole-brain analysis of serial sections, enabling faster research into brain function and cell organization.

Keywords:
high-throughputmouse brainmultiplex stainingregistrationserial sections

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Histology

Background:

  • Investigating whole-brain cell organization is vital for understanding brain function.
  • Previous methods for analyzing serial brain tissue samples were inefficient and difficult.
  • Limited tools exist for comprehensive, high-throughput analysis of brain-wide histology.

Purpose of the Study:

  • To develop and validate an efficient pipeline for acquiring and analyzing anatomical and histological information from serial brain sections.
  • To overcome limitations of previous methods in handling serial tissue samples for whole-brain studies.
  • To facilitate rapid, convenient, and accurate research in life sciences using brain slice analysis.

Main Methods:

  • Developed a novel serial brain-slice-staining method ensuring high slice integrity (>98.5%).
  • Created self-developed analysis software for registering and quantifying signals from imaged sections.
  • Aligned processed sections to the Allen Mouse Brain Common Coordinate Framework, supporting multimodal images and slant planes.
  • Validated the pipeline using immunostaining to analyze whole-brain activity variance during acute stress in mice of different ages.

Main Results:

  • Achieved high integrity (>98.5%) in stained serial brain sections.
  • Successfully registered and quantified histological data from serial sections to a standardized brain atlas.
  • Demonstrated the pipeline's effectiveness in analyzing whole-brain activity variance under stress conditions.
  • The pipeline significantly reduces manual operations, enhancing speed and convenience.

Conclusions:

  • The developed pipeline offers a rapid, efficient, and widely applicable solution for analyzing serial brain slices.
  • This method facilitates comprehensive whole-brain research, particularly in comparative studies like aging and stress responses.
  • The pipeline streamlines the process of acquiring anatomical and histological data, benefiting life science research.