High-Resolution Spatial Macromolecule Mapping Using Barcoded Beads
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Solution Overview
Problem
Existing methods for spatial monitoring of RNA expression in tissue samples suffer from low resolution, laborious processes, and limited multiplexing, failing to provide single-cell resolution and efficient spatial transcriptome profiling.
Innovation Solution
A method involving cryosectioning of tissue samples, use of beads with unique or degenerate bead identification sequences and macromolecule-specific capture sequences, followed by sequencing to obtain high-resolution spatially-resolvable macromolecule abundance data, using techniques like sequencing-by-ligation and next-generation sequencing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional histological approaches or early in situ techniques are used for spatial RNA monitoring, then the process is simpler to implement, but the spatial resolution is low (approximately 100-200 μm) and single-cell resolution cannot be achieved
Solution Approach 1:
The tissue section is divided into discrete spatial locations, each represented by a bead at a specific coordinate. Each bead captures RNA from its local region, enabling high-resolution spatial mapping through segmentation of the tissue into addressable units
Solution Approach 2:
Beads with unique identification sequences serve as intermediaries between the tissue section and the sequencing platform. Each bead captures spatial information and RNA molecules, then transfers this information to sequencing libraries, bridging the gap between spatial context and molecular analysis
2Adaptability or versatility
If traditional in situ techniques are used, then the multiplexing capability is limited, but the process becomes less laborious
Solution Approach 1:
The bead array platform serves multiple functions: it provides spatial addressing, RNA capture, and unique identification for sequencing. This multi-functional design enables high multiplexing capability where thousands of different RNA molecules can be simultaneously analyzed across multiple spatial locations in a single experiment
Solution Approach 2:
The spatial information and RNA molecules are copied onto beads through hybridization. Each bead creates a copy of the RNA from its spatial location, allowing parallel processing of thousands of RNA molecules while preserving spatial context, thereby reducing overall labor time despite increased multiplexing
3Measurement precision
If low-resolution spatial capture arrays are used, then the device complexity is reduced, but the spatial resolution remains low (approximately 100-200 μm)
Solution Approach 1:
The system changes the parameter of bead density and uses degenerate bead identification sequences to encode spatial information. By modifying these parameters, the system achieves high spatial resolution with approximately 10 μm spacing while managing the complexity of having thousands of beads through computational decoding of degenerate sequences
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
Enables deep macromolecule-identifying sequence coverage at single-cell resolution across multiple locations in tissue samples, providing accurate spatial transcriptome profiling.
Implementation Method 1
each bead has at least 1000 attached oligonucleotides and where the at least 1000 attached oligonucleotides of each bead each includes: (a) a bead identification sequence and (b) a macromolecule-specific capture sequence
Data Source
AI summary
Compositions and methods for assessing relative macromolecule abundance (for example, RNA expression levels) in a spatially-defined manner across a tissue sample (for example, from brain, lung, liver, kidney, pancreas, and/or heart) are disclosed, specifically providing deep transcriptomic coverage at high-resolution (for example, at approximate 10 μm (single cell) resolution) across multiple locations assessed across the tissue sample.