Proceedings of the National Academy of SciencesPharmacology & ToxicologyPeer-reviewed journal article
Hex-MASP for Mapping the Whole-tissue Spatial Proteome and the Intra-brain Distribution of Monoclonal Antibodies
Shihan HuoiD, Min MaiD, Shuo QianiD, Ming ZhangiD, Jie Pu, Xiaoyu ZhuiD, Sailee Suryakant RasamiD, Tara A. BaroneiD, Robert K. PlunkettiD, Chi Zhou, Jun QuiD
Abstract
Whole-tissue spatial proteomics level provides critical insights into region-specific biological regulations but remains challenging. Previously, we introduced the Micro-scaffold Assisted Spatial Proteomics (MASP) concept for whole-tissue mapping. However, this prototype required substantial development in spatial resolution, practicality, and throughput for practical application. Here we present a next-generation MASP technique (hex-MASP) featuring i) a new design of hexagonal-micro-wells fabricated with optimized Projection Micro-Stereolithography (P{micro}SL) 3D-printing, achieving high spatial resolution, sampling robustness and mechanical strength for reproducibly compartmentalizing even tough tissues; ii) enhanced throughput/effectiveness in sample preparation and LC-MS analysis with high quantitative quality. Applied to mouse brain, hex-MASP for the first time achieved in-depth, whole-tissue mapping for >6,000 proteins in mouse brains, with high spatial accuracy and excellent data quality. The substantially improved resolution revealed critical regional details across the entire brain, that were not previously captured, enabling precise depiction of protein distribution heterogeneity. This technique enabled the discovery of many unreported regionally-enriched proteins across brain structures. We further applied hex-MASP to investigate the intra-brain distribution of intracerebroventricularly-dosed antibody therapeutics and related proteins, which to our knowledge, enabled whole tissue mapping of protein drugs for the first time and revealed novel mechanistic insights into antibody distribution and localized treatment effects. Hex-MASP represent a robust, scalable platform for whole-tissue spatial proteomics.
- organism: mouse
- assay: proteomics
- research focus: spatial domain detection
- approach: experimental assay
- Citations
- 1
- FWCI
- 1.54
- Field percentile
- top 18%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Proteome-scale tissue mapping using mass spectrometry based on label-free and multiplexed workflows
Yu Mi Kwon, Jongmin Jacob Woo, … Ying Zhu·Molecular & Cellular ProteomicsPeer-reviewed·Sep 20, 2024
- SPOTTER: Automated Tissue-Barcoding Platform for Spatial Proteomics and Phosphoproteomics
Yuanwei Xu, Hyeoncheol Park, … Hui Zhang·bioRxiv·Jun 11, 2026
- Deepening imaging-based spatial proteomics at high spatial resolution through controlled tissue resizing and in-situ bottom-up mass spectrometry
Kunyue Deng, Lingpeng Zhan, … Yanyi Huang·bioRxiv·Jun 12, 2025
- Robust collection and processing for label-free single voxel proteomics
Reta Birhanu Kitata, Marija Veličković, … Tujin Shi·Nature CommunicationsPeer-reviewed·Jan 13, 2025
- A framework for ultra-low input spatial tissue proteomics
Anuar Makhmut, Di Qin, … Fabian Coscia·Cell SystemsPeer-reviewed·Oct 30, 2023
- A Robust and Generalizable Low-Input Spatial Proteomics Workflow Enabling Deep Proteome Coverage
Thibault Courtellemont, Romain Hamelin, … Maria P. Pavlou·bioRxiv·Aug 5, 2026