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High-resolution spatially resolved proteomics of complex tissues based on microfluidics and transfer learning

ABSTRACT: We develop a parallel flow projection and transfer learning-based spatial proteomics framework that combines microfluidics and a deep neutral network.

ORGANISM(S): Homo Sapiens Rattus Norvegicus Mus Musculus

SUBMITTER: Fangqing Zhao

PROVIDER: PXD045687 | iProX | Wed Jan 15 00:00:00 GMT 2025

REPOSITORIES: iProX

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High-resolution spatially resolved proteomics of complex tissues based on microfluidics and transfer learning.

Hu Beiyu B He Ruiqiao R Pang Kun K Wang Guibin G Wang Ning N Zhu Wenzhuo W Sui Xin X Teng Huajing H Liu Tianxin T Zhu Junjie J Jiang Zewen Z Zhang Jinyang J Zuo Zhenqiang Z Wang Weihu W Ji Peifeng P Zhao Fangqing F

Cell 20250123 3

Despite recent advances in imaging- and antibody-based methods, achieving in-depth, high-resolution protein mapping across entire tissues remains a significant challenge in spatial proteomics. Here, we present parallel-flow projection and transfer learning across omics data (PLATO), an integrated framework combining microfluidics with deep learning to enable high-resolution mapping of thousands of proteins in whole tissue sections. We validated the PLATO framework by profiling the spatial proteo ...[more]

PMID: 39855194

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