Spatially Visualized Proteomics

Application Introduction

In 2022, Nature named special multi-omics as one of the seven most groundbreaking cutting-edge technologies of the year, showing the important value of special biology. Its purpose is to solve the problem that the results of traditional bulk tissue detection are homogenized and cannot obtain protein expression information with spatial location. Spatial visualization of proteomics uses antibodies to label specific cell subpopulations/target areas and laser microdissection at single-cell resolution to in situ cut the labeled cell subpopulations/target areas, thereby obtaining the expression information of tens of thousands of proteins with spatial location information in the tissue without offset.

Technical Features

Using multiple immunofluorescence and AI algorithms, specific identification of positive cells

Stain and microdissection on same slice, obtain true in situ protein expression information

Microdissection sample recovery rate close to 100%, saving precious samples to greatest extent

Flexible ROI selection, analyze tissue heterogeneity's biological significance for the greatest extent

SISPROT sample preparation technology, high quality preparation of nanogram-level ultra-trace samples

Technological Processes

Tissue Slice

Different tissue type, different preservation format of slice (FF/FFPE）

Staining & Imaging

Using multicolour immunofluorescence/H&E staining/mIHC staining to determine spatial distribution of cell subpopulations/target area

Laser Microdissection

Import staining image file into laser microdissection system, align slice position, perform high-precision laser microdissection

Sample Preparation

Using SISPROT sample preparation technology to prepare ultra-trace samples for proteomics

Mass Spectrometry Detection

Using ultra-high resolution liquid chromatography mass spectrometry for in-depth proteomics analysis

Bioinformatics Analysis

Perform standardized bioinformatics analysis on mass spectrometry data and generate bioinformatics analysis reports

Application Areas

Analyse Tumour Tissue Microenvironments

Spatial Protein Mass Spectrometry Profiling

Disease Key Drug Targets and Biomarker Discovery

Analyse Tumour Tissue Microenvironments

In 2022, the article “Deep Visual Proteomics defines single-cell identity and heterogeneity” published in Nature Biotechnology used spatial proteomics to capture the change of the proteome of normal cells becoming invasive tumour cells in newly formed tumour tissues, which revealed the mechanism driving tumour evolution and new treatment targets.

Spatial Protein Mass Spectrometry Profiling

In 2024, the article “Deep spatial proteomics reveals region-specific features of severe COVID-19-related pulmonary injury” published in Cell Reports used spatial proteomics to profile the in-depth protein expression map of COVID-19 patients’ injured lungs, confirming COVID-19 induced protein and pathway disorientation in the alveolar epithelium, bronchial epithelium, and pulmonary blood vessels, providing a brand new spatial perspective to future intervention of severe COVID-19.

Disease Key Drug Targets and Biomarker Discovery

In 2019, the article titled “Proteomics NNMT as a master metabolic regulator ofcancer-associated fibroblasts” published in Nature used spatial proteomics to discover that NNMT expression in tumour stroma promotes migration, proliferation, and in vivo growth and metastasis of ovarian cancer, providing potential target for future ovarian cancer suppressing drug development.

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Multidimensional proteomics—a complementary platform

You can use cell type proteomics to obtain refined protein expression information for different cell types, which allows you to obtain the proportion of cell types at the spatial level and discover new cell subtypes

Cell Type Proteomics

Through flow cytometry for the sorting of different cell types in tissues, hundreds to a thousand cells can obtain high-depth protein expression information .

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Spatially Visualized Proteomics Solution

The world's first commercial platform, a comprehensive solution for spatial visualization proteomics throughout the entire process.

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