Spatial proteomics — In situ neighborhood mapping

2026年01月07日 15:09

Spatial proteomics quantifies where proteins reside and how local networks are organized within cells and tissues, enabling context-aware biology in complex microenvironments. Key applications include: 1、Proximity labeling to capture compartment-resolved protein neighborhoods in situ 2、Time-restricted labeling to record transient or weak interactions with reduced perturbation 3、Control strategies and orthogonal validation to improve specificity and interpretability of LC–MS readouts The white paper outlines positioning and paradigms, while the implementation guide provides stepwise workflows, controls, and validation.

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Bioinformatics ---- white paper

2026-01-07 15:09:59.941

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Spatial proteomics quantifies where proteins reside and how local networks are organized within cells and tissues, enabling context-aware biology in complex microenvironments. Key applications include:
1、Proximity labeling to capture compartment-resolved protein neighborhoods in situ
2、Time-restricted labeling to record transient or weak interactions with reduced perturbation
3、Control strategies and orthogonal validation to improve specificity and interpretability of LC–MS readouts
The white paper outlines positioning and paradigms, while the implementation guide provides stepwise workflows, controls, and validation.

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