157181-Thumbnail Image.png
Description
Measurements of different molecular species from single cells have the potential to reveal cell-to-cell variations, which are precluded by population-based measurements. An increasing percentage of researches have been focused on proteins, for its central roles in biological processes. Immunofluorescence (IF)

Measurements of different molecular species from single cells have the potential to reveal cell-to-cell variations, which are precluded by population-based measurements. An increasing percentage of researches have been focused on proteins, for its central roles in biological processes. Immunofluorescence (IF) has been a well-established protein analysis platform. To gain comprehensive insights into cell biology and diagnostic pathology, a crucial direction would be to increase the multiplexity of current single cell protein analysis technologies.

An azide-based chemical cleavable linker has been introduced to design and synthesis novel fluorescent probes. These probes allow cyclic immunofluorescence staining which leads to the feasibility of highly multiplexed single cell in situ protein profiling. These highly multiplexed imaging-based platforms have the potential to quantify more than 100 protein targets in cultured cells and more than 50 protein targets in single cells in tissues.

This approach has been successfully applied in formalin-fixed paraffin-embedded (FFPE) brain tissues. Multiplexed protein expression level results reveal neuronal heterogeneity in the human hippocampus.


Download restricted.
Download count: 6

Details

Title
  • Highly Multiplexed Single Cell in situ Protein Analysis with Cleavable Fluorescent Probes
Contributors
Date Created
2019
Resource Type
  • Text
  • Collections this item is in
    Note
    • thesis
      Partial requirement for: Ph.D., Arizona State University, 2019
    • bibliography
      Includes bibliographical references (pages 105-120)
    • Field of study: Chemistry

    Citation and reuse

    Statement of Responsibility

    by Renjie Liao

    Machine-readable links