Single Cell Spatial Metabolomics for Multiplexed Analysis
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Solution Overview
Problem
Current techniques lack the ability to perform four-dimensional metabolic analysis of cells, specifically failing to correlate single metabolites with spatial coordinates and time in densely packed native tissues, which is crucial for understanding metabolic regulation in immune and cancer cells within tumors.
Innovation Solution
A method combining three-dimensional spatially resolved metabolic profiling (3D-SMF) with imaging mass cytometry (IMC) for untargeted spatial metabolomics and targeted multiplexed protein imaging, enabling the localization of multiple cell types and metabolic marker mapping within native tissues from tumor biopsies and bio-inspired tumor chips.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If mass spectrometry imaging (MSI) is used for metabolite localization, then spatial resolution is improved, but the ability to link single cells to metabolic profiles remains limited due to resolution constraints of 20-100 μm
Solution Approach 1:
The patent combines TOF-SIMS imaging (providing submicron spatial resolution) with multiplexed immunofluorescence staining (providing cell type identification) into a single integrated platform. This merging allows simultaneous acquisition of high-resolution metabolic maps and cell type information, resolving the contradiction by making both spatial resolution and single-cell association capabilities achievable together.
Solution Approach 2:
The patent introduces a new dimension of analysis by performing depth-sectioning of tissue samples using a microtome to create thin sections (5-20 μm thick). This dimensional approach allows the TOF-SIMS imaging to achieve submicron resolution within the context of three-dimensional tissue architecture, enabling both high spatial resolution and accurate single-cell metabolic profiling that were mutually exclusive in previous planar imaging approaches.
2Measurement precision
If TOF-SIMS is used for submicron metabolite mapping, then spatial resolution is improved to submicron level, but the association of specific cell types to metabolic profiles is lacking
Solution Approach 1:
The patent merges TOF-SIMS imaging with multiplexed immunofluorescence staining in a single integrated platform. The immunofluorescence component provides cell type identification through specific antibody staining, while TOF-SIMS provides metabolic profiling. By combining these two techniques, the patent simultaneously achieves submicron spatial resolution and cell type association, eliminating the information loss in either dimension.
Solution Approach 2:
The patent uses fluorescently labeled antibodies as intermediaries that bridge the gap between cell type identification and metabolic profiling. These antibodies bind to specific cell markers and can be detected alongside TOF-SIMS metabolic signals, serving as a mediator that links cell identity information with metabolic state information at the same spatial resolution.
3Quantity of substance
If SpaceM method is used for MALDI-based metabolic mapping, then metabolic profiling is achieved, but cell-type and metabolic analysis in densely packed single cells within native tissues remains unachievable
Solution Approach 1:
The patent replaces the MALDI-based approach with TOF-SIMS imaging, which uses a different physical mechanism (ion bombardment and secondary ion detection) to achieve superior spatial resolution. This substitution of the imaging mechanism enables submicron resolution in native tissues, overcoming the limitations of MALDI-based methods while maintaining comprehensive metabolic profiling capability.
Solution Approach 2:
The patent applies depth-sectioning of tissue samples into thin slices (5-20 μm thick) using a microtome. This segmentation approach allows the TOF-SIMS imaging to achieve submicron resolution within the context of three-dimensional tissue architecture, enabling single-cell analysis in densely packed native tissues by effectively separating the tissue into manageable thin sections that can be imaged at high resolution.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for high-resolution, single-cell level metabolic and protein profiling, deciphering spatial metabolomic regulation in immune and cancer cells, identifying cell-type specific metabolite profiles, and quantifying local metabolite competition, thereby providing detailed insights into tumor microenvironments.
Implementation Method 1
time-of-flight secondary ion mass spectrometry (TOF-SIMS) has allowed submicron metabolite mapping in cells and tissues
Implementation Method 2
Time-of-flight secondary ion mass spectrometry (TOF-SIMS) is used to perform three-dimensional (3D) spatially resolved metabolic profiling
Implementation Method 3
multiplexed protein imaging method, imaging mass cytometry (IMC)
Data Source
AI summary
Provided is a method of detecting analytes in a cell or tissue sample, the method comprising: a) introducing into the cell or tissue sample at least one tagging moiety, wherein the tagging moieties can interact with specific proteins of interest; b) detecting analytes and tagging moieties in the cell or tissue sample; c) spatially detecting proteins in the cell or tissue sample; and d) constructing a map of the analytes in the cell or tissue sample based on the data from steps b) and c). Also provided is a microfluidic chip using the method of detecting analytes, and methods of monitoring an in situ model of a tumor, methods of detecting cancer, and methods of determining response of a subject to a treatment protocol using the microfluidic chip.