It is demonstrated that TEMI overcomes the long-standing spatial limitations of MSI without requiring hardware modifications, ensuring compatibility with existing MSI instruments and promoting broad accessibility and adoption within the research community.
Abstract
High-spatial-resolution in situ mapping of biomolecules within tissue reveals critical insights into the complex molecular landscape and spatial organization of biological systems. Mass spectrometry imaging (MSI) is a powerful tool for spatially resolved molecular analysis of biological samples, with ongoing demand for improved spatial resolution. Tissue expansion combined with MSI (TEMI) is a recently developed approach that enables multiomics molecular mapping across various biological tissues with significantly improved spatial resolution. Unlike conventional methods that depend on instrument-based enhancements in spatial resolution, TEMI physically enlarges tissue samples via harsh-condition-free hydrogel expansion, achieving more than 3.5-fold increase in effective imaging resolution using standard MSI instrumentation. TEMI delivers single-cell spatial resolution in tissue samples and enables detection of biomolecular heterogeneity that remains uncharacterizable in unexpanded tissue using conventional MSI. Notably, TEMI supports high-spatial-resolution mapping of multiple biomolecular classes-including lipids, metabolites, N-glycans, peptides and proteins-within a single tissue sample. Here, we provide a detailed, step-by-step guide for TEMI, including hydrogel-based tissue expansion under mild conditions, cryosectioning of the expanded tissue-hydrogel sample, a comprehensive experimental workflow for multiomics TEMI on a single tissue section, data acquisition and visualization pipelines, as well as troubleshooting tips. Overall, we demonstrate that TEMI overcomes the long-standing spatial limitations of MSI without requiring hardware modifications, ensuring compatibility with existing MSI instruments and promoting broad accessibility and adoption within the research community.
Spatial heterogeneity is a defining feature of tissue organization, yet conventional proteomic analysis provides limited information about the spatial origins of identified proteins. Spatially guided proteomics addresses this limitation by using tissue imaging techniques to select regions of interest (ROIs) for localiz...
K. Weke, J. J. Lum, D. Goodlett et al.· Mass spectrometry reviews (P...· 0 citations
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has been established as a powerful tool for the spatial characterization of molecules. Recent advances have been driven by improvements in the spatial resolution, acquisition time, and sensitivity. Although MALDI-MSI excels in the label-f...
Ruben Jacobs, Ritesh Chidambaram, Vincent Steinbacher et al.· Analytical Chemistry· 0 citations
Molecular imaging technologies have transformed analytical chemistry by enabling molecular identification and spatial localization within intact biological specimens. Advances in mass spectrometry imaging (MSI), Raman imaging, imaging mass cytometry (IMC), and emerging spatial analytical platforms have expanded the inv...
H. Barzani, Rebaz Anwar Omer, Khalamala Ibrahim Salih Barzani et al.· Critical reviews in analytic...· 0 citations
Nanospray desorption electrospray ionization (nano-DESI) is an ambient mass spectrometry imaging (MSI) technique that enables molecular imaging of individual proteoforms in tissue sections. Nano-DESI generates multiply charged ions of intact proteoforms directly from the tissue, which facilitates their identification u...
Man-Xi Yang, Xin-Di Tang, Julia Laskin· International Journal of Mas...· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.