Laser Capture Proteomics: Spatial Tissue Molecular Profiling from the Bench to Personalized Medicine

Overview

Journal Expert Rev Proteomics

Publisher Informa Healthcare

Date 2021 Oct 5

PMID 34607525

Citations 15

Authors

Lance A Liotta

Philip A Pappalardo

Alan Carpino

Amanda Haymond

Marissa Howard

Virginia Espina

Julie Wulfkuhle

Emanuel Petricoin

Affiliations

Soon will be listed here.

Abstract

Introduction: Laser Capture Microdissection (LCM) uses a laser to isolate, or capture, specific cells of interest in a complex heterogeneous tissue section, under direct microscopic visualization. Recently, there has been a surge of publications using LCM for tissue spatial molecular profiling relevant to a wide range of research topics.

Areas Covered: We summarize the many advances in tissue Laser Capture Proteomics (LCP) using mass spectrometry for discovery, and protein arrays for signal pathway network mapping. This review emphasizes: a) transition of LCM phosphoproteomics from the lab to the clinic for individualized cancer therapy, and b) the emerging frontier of LCM single cell molecular analysis combining proteomics with genomic, and transcriptomic analysis. The search strategy was based on the combination of MeSH terms with expert refinement.

Expert Opinion: LCM is complemented by a rich set of instruments, methodology protocols, and analytical A.I. (artificial intelligence) software for basic and translational research. Resolution is advancing to the tissue single cell level. A vision for the future evolution of LCM is presented. Emerging LCM technology is combining digital and AI guided remote imaging with automation, and telepathology, to a achieve multi-omic profiling that was not previously possible.

Citing Articles

From morphology to single-cell molecules: high-resolution 3D histology in biomedicine.

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Spatiotemporal Omics-Refining the landscape of precision medicine.

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Robust collection and processing for label-free single voxel proteomics.

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Applications of Nanotechnology for Spatial Omics: Biological Structures and Functions at Nanoscale Resolution.

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