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Aug 2026

An Instrumental Optimization of a Label-Free Proteomic Method for Trace Protein Input.

Liquid chromatography-mass spectrometry (LC-MS)-based proteomics of trace-level samples, such as tens of cells or spatially resolved tissue regions, offers unique biological insights but is often constrained by the requirement for specialized, costly instrumentation. In this study, we developed a scalable workflow for...

Dongyoon Shin, Sumin Lee, S. Yang et al. · 0 citations
Preprint Aug 2026

Spatial proteomics guided by H&E-based AI reveals recurrence-risk niches in triple-negative breast cancer

Deep learning models can predict cancer recurrence from H&E stained slides, but the localized molecular states underlying these predictions remain largely obscured. Here, we developed an outcome informed spatial pathology framework in TNBC that integrates AI generated recurrence risk heatmaps with mass spectrometry bas...

Yesung Cho, Ji Hwan Park, Chanil Kim et al. · 0 citations

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