# Advances and Applications of Spatial Proteomics: From Organellar Maps to Clinical Translation

## TL;DR

Spatial proteomics maps protein locations in cells using advanced tools, helping understand disease mechanisms and find biomarkers.

## Contribution

The paper highlights advances in low-input and automated workflows for clinical applications of spatial proteomics.

## Key findings

- Spatial proteomics now offers high-resolution protein maps with improved mass spectrometry and computational tools.
- Low-input methods and automation make spatial proteomics applicable to challenging clinical samples.
- The technology supports disease research, biomarker discovery, and therapeutic target identification.

## Abstract

Spatial proteomics has emerged as a powerful approach to systematically map the subcellular localization of thousands of proteins in parallel, providing insights into organelle composition, protein trafficking, and context‐dependent relocalization events. Building on advances in mass spectrometry sensitivity, and acquisition as well as quantification strategies, organelle‐resolved protein maps can now be generated with unprecedented depth and resolution, and recent workflows have expanded the applicability of spatial proteomics to diverse experimental and challenging contexts. Complementary bioinformatic pipelines enable the assignment of proteins to compartments, the detection of distribution shifts, and the integration of spatial data with other omics layers. Beyond fundamental cell biology, the technology holds great potential for clinical research, where limited input material and the complexity of primary samples pose specific challenges. Emerging low‐input preparation methods, antibody‐based organelle enrichment, and microscopy‐guided approaches offer promising solutions, while robust, marker‐independent data analysis will be essential to handle the biological variability of patient‐derived samples. As protocols become more automated, low‐input compatible, and bioinformatically standardized, spatial proteomics is poised to become a valuable tool for mechanistic disease research, biomarker discovery, and therapeutic target identification.

Spatial proteomics provides high‐resolution maps of protein localization and trafficking by combining advanced mass spectrometry with complementary imaging and computational tools. Emerging low‐input and automated workflows are expanding its applicability to challenging clinical samples, supporting mechanistic disease research and biomarker discovery.© 2026 WILEY‐VCH GmbH