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Routine Workflow of Spatial Proteomics on Micro-formalin-Fixed Paraffin-Embedded Tissues

Hao Chen, Yuefei Zhang, Haichao Zhou, Weiran Chen, Jiayi Peng, Yang Feng, Linyuan Fan, Jun Li, Jin Zi, Yan Ren, Qidan Li, Siqi Liu

2023Analytical Chemistry18 citationsDOI

Abstract

In the era of single-cell biology, spatial proteomics has emerged as an important frontier. However, it still faces several challenges in technology. Formalin-fixed paraffin-embedded (FFPE) tissues are an important material in spatial proteomics, in which fixed tissues are excised using laser capture microdissection (LCM), followed by protein identification with mass spectrometry. For a satisfied spatial proteomics upon FFPE tissues, the excision area is expected to be as small as possible, and the identified proteins are countered upon as much as possible. For a general laboratory for spatial proteomics, a routine workflow is required, not relying on any special device, and is easily operating. In view of these challenges in technology, we initiated a technology evaluation throughout the entire procedure of proteomic analysis with micro-FFPE tissues. In contrast to the protocols reported previously, several innovations in technology were proposed and conducted, such as removal of destaining, decross-linking with “hang-down”, solution simplification for peptide generation and balancing to excision area, and capture rate of micro-FFPE tissues. After optimization of all the necessary steps, a routine workflow was established, in which the minimized area for protein identification was 0.002 mm 2, while the excision area for a consistent proteomic analysis was 0.05 mm 2 . Using the developed workflow and collecting the micro-FFPE tissues continuously, for the first time, a spatial proteomic atlas of mouse brain was preliminarily constructed, which exhibited the typical characteristics of spatial-dependent protein abundance and functional enrichment.

Topics & Concepts

ProteomicsLaser capture microdissectionWorkflowMicrodissectionShotgun proteomicsChemistryComputational biologyComputer scienceNanotechnologyBiologyBiochemistryMaterials scienceDatabaseGene expressionGeneAdvanced Proteomics Techniques and ApplicationsMolecular Biology Techniques and ApplicationsSingle-cell and spatial transcriptomics
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