Protocol for iterative indirect immunofluorescence imaging in cultured cells, tissue sections, and metaphase

Jeffrey Hsu1, Kimberly T Nguyen1, Magda Bujnowska1

  • 1Medical Scientist Training Program, University of Virginia, Charlottesville, VA 22908, USA; Department of Biochemistry and Molecular Genetics, University of Virginia, Charlottesville, VA 22908, USA.

STAR Protocols
|July 13, 2024
PubMed

Insights

This study introduces iterative indirect immunofluorescence (4i) for high-resolution spatial biology. The protocol enables multiplexed imaging in cells, tissues, and chromosomes, advancing cellular and subcellular data generation.

Area of Science:

  • Spatial biology
  • Cellular and subcellular imaging
  • Molecular pathology

Background:

  • Generating high-resolution spatial data is crucial for understanding cellular functions and disease mechanisms.
  • Existing methods often lack the multiplexing capacity or resolution required for detailed spatial analysis.
  • Iterative indirect immunofluorescence (4i) offers a promising approach to overcome these limitations.

Purpose of the Study:

  • To present a streamlined protocol for generating highly multiplexed spatial data using iterative indirect immunofluorescence (4i).
  • To demonstrate the adaptability of the 4i protocol across diverse biological samples, including cultured cells, FFPE tissues, and chromosome spreads.
  • To provide detailed procedures for sample preparation, staining, imaging, elution, and image processing for high-throughput analysis.

Main Methods:

  • Iterative indirect immunofluorescence (4i) imaging protocol.
  • Sample preparation for fixed cultured cells, FFPE tissue sections, and metaphase chromosome spreads.
  • Antibody and DNA staining, immunofluorescence imaging, antibody elution, and image processing.

Main Results:

  • A robust protocol for generating highly multiplexed spatial data at cellular and subcellular resolutions.
  • Successful application of the 4i protocol across various sample types, addressing specific challenges like autofluorescence and chromosome fragility.
  • Streamlined procedures facilitating high-throughput analysis of spatial biological information.

Conclusions:

  • The presented 4i protocol provides a versatile and efficient method for high-resolution spatial data generation.
  • This technique significantly enhances the capacity for multiplexed imaging in diverse biological contexts.
  • The protocol is well-adapted for high-throughput applications, paving the way for deeper insights into cellular and subcellular organization.

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