Xiang Zheng

Jan 14, 2025 | cell.com | Xiang Zheng |Andreas Mund |Matthias Mann

Keywords multiplexed imaging mass spectrometry deep visual proteomics spatial proteomics spatial medicine tumor microenvironment cancer immunotherapy tumor-infiltrating lymphocytes Introduction The tumor microenvironment (TME) is a complex ecosystem where cancer cells dynamically interact with diverse non-malignant cells, including immune cells, fibroblasts, and endothelial cells, as well as the extracellular matrix.1 These intricate interactions shape cancer progression and therapy...

Aug 23, 2024 | mdpi.com | Xiang Zheng |Fangtong Wu |Lu Zhao |He Zhou

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Aug 21, 2024 | mdpi.com | Xiang Zheng |Lu Zhao |Fangtong Wu |He Zhou

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Jun 13, 2024 | biorxiv.org | Matthias Mann |Xiang Zheng |Lars Pedersen |Michael Bzorek

AbstractCoexistence of two cancer types in the same organ presents challenges for clinical decision-making, calling for personalized treatment strategies. Deep Visual Proteomics (DVP) combines AI driven single cell type analysis with laser microdissection and ultrasensitive mass spectrometry. In a composite case of classical Hodgkin lymphoma (cHL) and small lymphocytic lymphoma (SLL) in a single patient, we investigated the potential of DVP to inform precision oncology.

May 23, 2024 | biorxiv.org | Xiang Zheng |Andreas Mund |Matthias Mann

AbstractDeciphering the intricate tumor–immune interactions within the microenvironment is crucial for advancing cancer immunotherapy. Here, we developed a novel approach integrating highly multiplexed imaging, laser microdissection, and deep visual proteomics (DVP) to spatially profile the proteomes of 21 distinct cell populations in human colorectal and tonsil cancers with high sensitivity.