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Featured Proteomics Service
Spatial X Holographic Spatial Phosphorylation Proteomics
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Service Introduction

Protein phosphorylation is one of the most prevalent and functionally important post-translational modifications (PTMs). Nearly all cellular signaling pathways are tightly regulated by phosphorylation, and kinase inhibitors have become an important class of therapeutic agents in clinical practice.

Integrating phosphorylation analysis into a spatial context provides unprecedented opportunities for deciphering disease mechanisms and advancing precision medicine.

Building on extensive technology development and project experience, PTM BIO combines its innovative 10X Proteomics platform, laser capture microdissection (LCM), and AI-powered image reconstruction to introduce Spatial X Holographic Spatial Phosphorylation Proteomics.

By enabling whole-tissue visualization of Phosphorylation Proteomics dynamics together with proprietary phosphosite decoding, PTM BIO delivers a comprehensive spatial Phosphorylation Proteomics solution for precision medicine research.

Instrument Platforms
  • Thermo Scientific Orbitrap Astral
  • Bruker timsTOF Pro2 / timsTOF HT
Technical Advantages

01 High-Depth Spatial Phosphorylation Proteomics Profiling

PTM BIO enables identification of 11,000+ phosphosites across spatial tissue samples, with more than 5,000 phosphosites identified per sample on average, providing one of the deepest spatial phosphorylation proteomics datasets currently available.

02 AI Reconstruction Accuracy Validation

PTM BIO's AI-based image reconstruction demonstrates excellent agreement with conventional holographic spatial datasets, achieving a Pearson correlation coefficient of up to 0.91, validating the accuracy and reliability of the reconstruction algorithm.

3. Spatial Mapping of Key Molecular Markers

Spatial X enables real-time visualization and interpretation of the spatial distribution of key molecular markers, supporting precise localization of protein or phosphosite signals across defined tissue regions.



Application Areas
  • Tumor microenvironment spatial mapping
  • Cardiovascular disease mechanism studies
  • Neurological disease research
  • Reproductive development analysis
  • Species atlas construction

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