Patent No. US10961566 (titled "Spatially encoded biological assays") on Aug 7, 2020. The application was issued on Mar 30, 2021.
’566 is related to the field of spatially encoded biological assays and high-resolution molecular mapping. It addresses the technical challenge of simultaneously measuring the abundance and distribution of numerous biological targets, such as proteins and nucleic acids, within a solid tissue sample. Traditional methods like in situ hybridization or laser capture microdissection often struggle with high levels of multiplexing or suffer from low spatial resolution and labor-intensive workflows.
The underlying idea behind ’566 is the decoupling of target identification from spatial localization through a digital encoding scheme. Instead of relying on physical separation or visual labels alone, the invention uses oligonucleotide-tagged probes that interact with targets in situ. By delivering specific coding tags to defined coordinates on a tissue section—often using a combinatorial grid—the system effectively stamps each target-binding event with a spatial barcode. This allows the sample to be pooled and analyzed via high-throughput sequencing while retaining the ability to map every data point back to its original micro-location.
The claims of ’566 focus on a method for detecting a target protein within a tissue sample by utilizing antibody-based probes. The process involves contacting the tissue with probes where an antibody is coupled to a specific oligonucleotide sequence. A nucleic acid molecule is then generated that combines the probe's identity with location-specific nucleic acid tags. By sequencing this chimeric molecule, the system simultaneously identifies the protein and its precise coordinate within the tissue architecture.
In practice, the invention utilizes instrumentation like acoustic liquid handlers or inkjet printing to deposit reagents in precise patterns, such as an X-Y grid. For protein detection, antibodies bind to their targets, and subsequently, encoding oligonucleotides are ligated or extended to incorporate the spatial tags. This transformational step creates a sequencing-ready library where each strand contains both the 'what' (the antibody's identity) and the 'where' (the grid coordinates).
This approach differs from prior solutions by moving the complexity of spatial resolution from the microscope to the sequencer. By converting spatial information into a digital readout, the invention bypasses the multiplexing limits of fluorescent dyes and the manual labor of microdissection. It enables the simultaneous mapping of thousands of different molecules across a single tissue section, providing a high-fidelity molecular map that integrates the depth of genomic sequencing with the context of classical histology.
In the early 2010s when ’566 was filed, the analysis of biological molecules in tissue samples was typically implemented using in situ hybridization or laser capture microdissection. At a time when high-throughput quantitative analysis of RNA and proteins commonly relied on microarrays or bulk sequencing of homogenized samples rather than spatially-resolved multiplexing, the preservation of topographical context for large numbers of targets was technically limited. While certain PCR-based assays in two-dimensional formats existed, hardware and software constraints made the simultaneous measurement of hundreds or thousands of distinct biological targets across a high-resolution spatial grid non-trivial, often resulting in a trade-off between the depth of multiplexing and the maintenance of the sample's physical architecture.
The disclosed invention represents a meaningful technical advancement through the integration of spatial encoding schemes with high-throughput digital sequencing to enable high-resolution mapping of biological targets. The architectural solution involves delivering encoded probes to specific sites in a sample according to a known spatial pattern, where each probe contains a coding tag that identifies its delivery location. This structural approach overcomes the technical constraint of losing spatial context during pooled analysis by allowing the digital readout of target abundance to be computationally mapped back to the original tissue coordinates. The resulting capability enables the simultaneous, highly-parallel detection of thousands of genes or proteins while maintaining the precise spatial organization of the cellular environment, achieving a level of sensitivity and multiplexing depth previously unattainable in histological analysis.
The patent contains 30 claims, with claim 1 being the sole independent claim. This independent claim focuses on a method for detecting a target protein in a tissue sample by using antibody-coupled oligonucleotide probes and nucleic acid tags to determine the specific spatial location of the protein through sequencing. The dependent claims serve to specify additional procedural steps and structural components, such as washing and amplification techniques, the use of imaging to define regions of interest, the application of sequencing adapters, the analysis of multiple target proteins or regions to create three-dimensional expression maps, and the use of specific tissue types like formalin-fixed paraffin-embedded sections.
Definitions of key terms used in the patent claims.
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