journal article·2024-06Open access

Coupling Exponential to Linear Amplification for Endpoint Quantitative Analysis

Coline Kieffer, Yannick Rondelez, Guillaume Gines

Advanced Science· Volume 11· Issue 21

Abstract

Abstract Exponential DNA amplification techniques are fundamental in ultrasensitive molecular diagnostics. These systems offer a wide dynamic range, but the quantification requires real‐time monitoring of the amplification reaction. Linear amplification schemes, despite their limited sensitivity, can achieve quantitative measurement from a single end‐point readout, suitable for low‐cost, point‐of‐care, or massive testing. Reconciling the sensitivity of exponential amplification with the simplicity of end‐point readout would thus break through a major design dilemma and open a route to a new generation of massively scalable quantitative bioassays. Here a hybrid nucleic acid‐based circuit design is introduced to compute a logarithmic function, therefore providing a wide dynamic range based on a single end‐point measurement. CELIA (Coupling Exponential amplification reaction to LInear Amplification) exploits a versatile biochemical circuit architecture to couple a tunable linear amplification stage – optionally embedding an inverter function – downstream of an exponential module in a one‐pot format. Applied to the detection of microRNAs, CELIA provides a limit of detection in the femtomolar range and a dynamic range of six decades. This isothermal approach bypasses thermocyclers without compromising sensitivity, thereby opening the way to applications in various diagnostic assays, and providing a simplified, cost‐efficient, and high throughput solution for quantitative nucleic acid analysis.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced biosensing and bioanalysis techniques · Biosensors and Analytical Detection · CRISPR and Genetic Engineering

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Laboratoire Gulliver UMR7083 CNRS/ESPCI Paris‐PSL Research University 10 rue Vauquelin Paris 75005 France

Funding

European Research Council

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