A multi-tiered μDicer with hierarchical blades achieves protein-preserving microdissection down to 10 μm

Insights

New multi-tiered μDicers mechanically dissect tissues into uniform microtissues for improved proteomic analysis. This method enhances protein yield and fidelity at the 10 μm scale compared to laser capture microdissection.

Area of Science:

  • Biotechnology and Biomedical Engineering
  • Proteomics and Molecular Profiling
  • Cancer Research

Background:

  • Laser capture microdissection (LCM) is standard for isolating regions of interest (ROI) for molecular profiling.
  • Conventional LCM faces limitations at cellular dimensions (∼10 μm) due to laser-induced damage and capture challenges, impacting protein preservation.
  • Sub-millimeter scale tissue heterogeneity studies require precise microdissection techniques.

Purpose of the Study:

  • To introduce and evaluate multi-tiered μDicers as a novel mechanical microdissection tool for generating uniform microtissues.
  • To compare the proteomic output of μDicers versus LCM at small spatial resolutions (down to 10 μm).
  • To assess the impact of microdissection method on protein preservation and quantitative fidelity in proteomic analysis.

Main Methods:

  • Fabrication of multi-tiered μDicers using two-photon polymerization.
  • Mechanical dissection of ethanol-fixed human squamous cell carcinoma tissue slices into microtissues (down to 10 μm) using μDicers and conventional LCM.
  • Proteomic analysis of microtissues using Nanodroplet Processing in One pot for Trace Samples (nanoPOTS) and liquid chromatography-mass spectrometry (LC-MS).

Main Results:

  • Multi-tiered μDicers reproducibly dissect microtissues down to 10 μm.
  • μDicers yielded significantly more peptides and proteins than LCM, particularly at 10-20 μm spatial resolution.
  • LCM-generated microtissues exhibited material loss (catapult-associated cavities), likely reducing protein coverage compared to μDicers.

Conclusions:

  • Multi-tiered μDicers offer a superior method for microdissection at cellular dimensions, preserving high protein coverage.
  • This mechanical approach overcomes limitations of LCM, enhancing proteomic data quality and quantitative fidelity.
  • μDicers hold potential to advance next-generation spatial proteomic workflows, especially when integrated with spatial registration.