Single-Cell Sequencing with Linear Amplification
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Solution Overview
Problem
Contemporary single cell genome sequencing technologies face limitations in throughput due to compartmentalization requirements and suffer from exponential amplification biases in PCR-based methods, which restrict their ability to efficiently analyze large numbers of cells and maintain data uniformity.
Innovation Solution
Integration of single cell combinatorial indexing with linear amplification techniques, utilizing multiple rounds of molecular barcoding and T7-based transcription to minimize amplification biases while enhancing throughput, enabling sequencing of thousands to millions of cells per experiment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If PCR-based amplification methods are used, then amplification efficiency is improved, but amplification bias increases exponentially
Solution Approach 1:
The patent changes the fundamental amplification parameter from exponential (PCR) to linear (T7-based transcription), thereby maintaining amplification efficiency while eliminating exponential amplification bias. This parameter change transforms the amplification mechanism to achieve uniform representation of genomic sequences.
2Measurement precision
If compartmentalization of individual cells is implemented, then single-cell resolution is achieved, but throughput is limited
Solution Approach 1:
The patent merges single-cell combinatorial indexing (sci-methods) with linear amplification (LIANTI), combining the high-throughput capability of compartmentalized single-cell analysis with the uniform amplification properties of linear transcription-based methods. This integration enables simultaneous processing of thousands to millions of cells while maintaining single-cell resolution and minimizing amplification bias.
3Manufacturing precision
If linear amplification via T7-based transcription is used, then amplification bias is minimized, but throughput is reduced
Solution Approach 1:
The patent combines linear amplification (LIANTI) with combinatorial indexing (sci-methods), merging the amplification uniformity of T7-based transcription with the high-throughput parallel processing capability of split-pool molecular barcoding. This integration enables simultaneous analysis of thousands to millions of cells while maintaining minimal amplification bias.
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 improves throughput significantly while maintaining the advantages of linear amplification, allowing for accurate and uniform sequencing of large cell populations and rare events, such as meiotic crossovers and chromosome mis-segregation events, as demonstrated in proof-of-concept studies.
Implementation Method 1
amplifying the nucleic acid fragments by linear amplification
Data Source
AI summary
Provided herein are methods for preparing a sequencing library that includes nucleic acids from a plurality of single cells. In one embodiment, the methods include linear amplification of the nucleic acids. In one embodiment, the sequencing library includes whole genome nucleic acids from the plurality of single cells. In one embodiment, the nucleic acids include three index sequences. Also provided herein are compositions, such as compositions that include the nucleic acids having three index sequences.