Trafficked RNA Barcodes for Mapping Synaptic Connectivity
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Solution Overview
Problem
Current methods for determining synaptic neuroanatomy are laborious and low throughput, and no technology exists to link synaptic or neuroanatomical information with single cell gene expression to infer neuronal identity, particularly in highly heterogeneous neuronal cell types.
Innovation Solution
A system is developed that combines molecular technology for transporting mRNA to intracellular compartments and modifies single-cell and spatial transcriptomics workflows to enable accurate readouts of trafficked barcodes alongside transcriptional information, using fusion proteins and nucleic acid binding proteins to tag and localize vesicles, synapses, and organelles in cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If current methods are used to determine synaptic neuroanatomy, then measurement precision can be achieved, but productivity is low and the process is laborious
Solution Approach 1:
The patent uses barcode sequences as molecular copies that can be amplified and sequenced to detect synaptic connectivity. Instead of directly observing synapses, the system creates molecular copies of RNA molecules that serve as barcodes for neuronal identity and connectivity, enabling high-throughput sequencing to infer neuroanatomical information from gene expression data.
Solution Approach 2:
The patent replaces manual, laborious methods of determining synaptic connectivity with automated molecular biology techniques. The system uses RNA barcoding, PCR amplification, and next-generation sequencing to automatically detect and quantify synaptic connections, replacing traditional manual tracing and histological analysis with high-throughput molecular assays.
2Loss of information
If no technology links synaptic information with single cell gene expression, then current workflows remain simple, but loss of information occurs regarding neuronal identity inference
Solution Approach 1:
The patent merges synaptic connectivity information with single-cell gene expression data by using shared barcode sequences. The same barcode sequences that identify synaptic connections also serve as markers for neuronal identity through co-expression analysis. This integration allows simultaneous inference of both connectivity and cell type identity from a single dataset.
Solution Approach 2:
The barcode sequences serve multiple functions: they act as synaptic connectivity markers, neuronal identity indicators, and gene expression reporters. This multi-functionality allows a single molecular tool to address multiple questions about neural circuits and cell types without requiring separate assays for each parameter.
3Adaptability or versatility
If highly heterogeneous neuronal cell types are studied, then adaptability of the system is required, but device complexity increases
Solution Approach 1:
The patent uses parameter changes in the form of variable barcode sequences and differential gene expression patterns to distinguish between highly heterogeneous neuronal cell types. By analyzing variations in barcode sequence composition and co-expression patterns, the system can identify and characterize diverse cell types using the same fundamental molecular framework, avoiding the need for cell-type-specific reagents.
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
The system allows for efficient and minimally invasive detection of neuronal connectivity at scale, maintaining cell health and providing spatially-localized sequencing readouts for molecular characterization of individual neuronal synapse regions.
Implementation Method 1
molecular technology that is capable of efficiently transporting mRNA to intracellular compartments
Implementation Method 2
the selective protein binding nucleic acid domain is capable of binding the selective nucleic acid binding protein encoded for by the first plasmid
Data Source
AI summary
The present disclosure relates to compositions and methods for tracking and spatially localizing a cell-expressed fusion protein within the cell (with the fusion protein optionally associated with a subcellular compartment, organelle, synapse, or the like), in a manner that minimizes any disruptive impact upon the cell, at least until the detection process is initiated. Use of transcriptomics and/or barcode nucleic acid detection is employed to assess both spatial localization of intracellularly tagged fusion proteins and to establish cell-cell connectivity, e.g., in neurons across a synapse, by associating axonal identities with individual neurons at the molecular tag and transcriptome level.