Multi‐Tiered µDicer Enables Protein‐Preserving Microdissection at 10 µm Resolution

Laser capture microdissection (LCM) remains the leading technology for isolating sub-millimeter regions of interest (ROIs) to enable downstream molecular profiling and study tissue heterogeneity. As the ROI approaches cellular dimensions (∼10 µm), laser-induced photothermal damage and challenges in capturing microtissues in conventional LCM can compromise protein preservation and quantitative fidelity. This work introduces multi-tiered µDicers, fabricated by two-photon polymerization, to mechanically dissect tissue slices into uniform microtissues down to 10 µm. The hierarchical blade architecture limits instantaneous blade-tissue engagement and lowers the cutting force relative to single-tier designs. For benchmarking, proteomic analysis is performed on ethanol-fixed human squamous cell carcinoma microtissues generated by µDicers and by LCM. Under identical Nanodroplet Processing in One pot for Trace Samples (nanoPOTS) and liquid chromatography-mass spectrometry (LC-MS) conditions, µDicers yield more peptides and proteins than LCM, with the largest gains at 10-20 µm spatial resolution. Confocal imaging shows catapult-associated cavities in LCM-generated microtissues. This material loss, along with membrane-limited protein extraction, likely reduces protein coverage. In contrast, multi-tiered µDicers enable reproducible microdissection down to 10 µm while maintaining high protein coverage. With the spatial registration of microtissues under development, µDicers have the potential to complement LCM for next-generation spatial proteomic workflows.

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Publication Details

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Small
Published
2026-04-15
DOI
https://doi.org/10.1002/smll.202514816
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Multi‐Tiered µDicer Enables Protein‐Preserving Microdissection at 10 µm Resolution

Annatoma Arif, Saisneha Koppaka, Rashmi Kumar, Yumi Kwon et al.
Small
Molecular Biology Techniques and Applications
article

Multi‐Tiered µDicer Enables Protein‐Preserving Microdissection at 10 µm Resolution

Annatoma Arif, Saisneha Koppaka, Rashmi Kumar, Yumi Kwon, Ramon Rodriguez, Seth Charles Cordts, Ying Zhu, Ljiljana Paša‐Tolić, Sindy Kam Yan Tang
article en

Abstract

Laser capture microdissection (LCM) remains the leading technology for isolating sub-millimeter regions of interest (ROIs) to enable downstream molecular profiling and study tissue heterogeneity. As the ROI approaches cellular dimensions (∼10 µm), laser-induced photothermal damage and challenges in capturing microtissues in conventional LCM can compromise protein preservation and quantitative fidelity. This work introduces multi-tiered µDicers, fabricated by two-photon polymerization, to mechanically dissect tissue slices into uniform microtissues down to 10 µm. The hierarchical blade architecture limits instantaneous blade-tissue engagement and lowers the cutting force relative to single-tier designs. For benchmarking, proteomic analysis is performed on ethanol-fixed human squamous cell carcinoma microtissues generated by µDicers and by LCM. Under identical Nanodroplet Processing in One pot for Trace Samples (nanoPOTS) and liquid chromatography-mass spectrometry (LC-MS) conditions, µDicers yield more peptides and proteins than LCM, with the largest gains at 10-20 µm spatial resolution. Confocal imaging shows catapult-associated cavities in LCM-generated microtissues. This material loss, along with membrane-limited protein extraction, likely reduces protein coverage. In contrast, multi-tiered µDicers enable reproducible microdissection down to 10 µm while maintaining high protein coverage. With the spatial registration of microtissues under development, µDicers have the potential to complement LCM for next-generation spatial proteomic workflows.

Small
Pacific Northwest National Laboratory (US), Environmental Molecular Sciences Laboratory (US), Stanford University (US)
National Science Foundation, U.S. Department of Energy, Stanford University, Stanford Bio-X, National Cancer Institute
Openalex Percentile: Top 13%
Molecular Biology Techniques and Applications
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