Ultra-sensitive detection of molecules or particles using beads or other capture objects
Inventors
Duffy, David C. • Rissin, David M. • Walt, David R. • Fournier, David • Kan, Cheuk
Assignees
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Abstract
The present invention relates to systems and methods for detecting analyte molecules or particles in a fluid sample and in some cases, determining a measure of the concentration of the molecules or particles in the fluid sample. Methods of the present invention may comprise immobilizing a plurality of analyte molecules or particles with respect to a plurality of capture objects. At least a portion of the plurality of capture objects may be spatially separated into a plurality of locations. A measure of the concentration of analyte molecules in a fluid sample may be determined, at least in part, on the number of reaction vessels comprising an analyte molecule immobilized with respect to a capture object. In some cases, the assay may additionally comprise steps including binding ligands, precursor labeling agents, and/or enzymatic components.
Core Innovation
A method for determining a measure of a concentration of analyte molecules or particles in a fluid sample is provided by exposing a plurality of capture objects to a solution containing or suspected of containing analyte, and immobilizing analyte with respect to the capture objects such that at least some capture objects associate with analyte and a statistically significant fraction of capture objects do not associate with any analyte molecule or particle. The method spatially segregates at least a portion of the capture objects into a plurality of separate locations.
A measure indicative of a number or fraction of locations containing at least one analyte molecule or particle is determined by one or both of replicating a nucleic acid precursor and converting a nucleic acid precursor to a nucleic acid that can be readily detected. The concentration of analyte molecules or particles is determined based at least in part on the measure indicative of the number or fraction of locations containing at least one analyte molecule or particle.
The disclosed quantification framework includes calibration between a binary determination of positive locations and analyte concentration, including calibration relationships that can be linear or non-linear. For low-concentration regimes, the method uses Poisson distribution analysis on the number or fraction of locations containing analyte, and the method combines digital and analog analysis through a common calibration curve.
Claims Coverage
The independent claim covers a partitioned capture-object format with immobilization and spatial segregation into separate locations, followed by determining analyte concentration from a measure of how many locations are positive. The claim includes nucleic-acid precursor replication and/or conversion to readily detectable nucleic acids as detection methods, and concentration determination based on the number or fraction of positive locations.
Immobilizing analyte with statistically significant non-association
Immobilizing analyte molecules or particles with respect to a plurality of capture objects such that at least some capture objects associate with at least one analyte molecule or particle and a statistically significant fraction of the capture objects do not associate with any analyte molecule or particle.
Spatially segregating capture objects into separate locations
Spatially segregating at least a portion of the capture objects subjected to the immobilizing step into a plurality of separate locations.
Determining measure of positive locations using nucleic-acid replication and conversion
Determining a measure indicative of a number or fraction of locations containing at least one analyte molecule or particle, wherein the determining comprises one or both of replicating a nucleic acid precursor and converting a nucleic acid precursor to a nucleic acid that can be readily detected.
Determining analyte concentration based on positive-location measure
Determining a measure of the concentration of analyte molecules or particles in the fluid sample based at least in part on the measure indicative of the number or fraction of locations determined to contain at least one analyte molecule or particle.
Using Poisson distribution analysis for concentration
Determining the analyte concentration in a fluid sample by performing a Poisson distribution analysis on the number or fraction of locations that contain at least one analyte molecule or particle.
Nucleic-acid technique selected from replication and conversion alternatives
Determining the measure indicative of the number or fraction of locations containing at least one analyte molecule or particle using a nucleic-acid-based technique selected from PCR, RCA, ligation, and LAMP.
Fluorescence detection for the positive-location measure
Determining the measure indicative of the number or fraction of locations containing at least one analyte molecule or particle by detecting a fluorescence signal.
Across the independent claim and its refinements, the core claim coverage requires immobilization of analyte with a statistically significant negative fraction, partitioning into separate locations, and inferring analyte concentration from a number or fraction of positive locations determined via nucleic-acid precursor replication and/or conversion to readily detectable nucleic acids. Dependent refinements further specify Poisson distribution analysis, nucleic-acid detection technique choices, and fluorescence signal detection.
Stated Advantages
Enables quantification of analyte concentration from a binary measure of positive locations.
Provides correlation and calibration between fraction or number of positive locations and analyte concentration, including linear and non-linear calibration relationships.
Supports low-concentration regimes using binary counting and Poisson distribution analysis.
Contrasts digital binary quantification with intensity analog readouts and enables dynamic range extension by combining digital and analog analysis through a common calibration curve.
Documented Applications
Determining a measure of the concentration of analyte molecules or particles in a fluid sample.
Detection and quantification of proteins and protein biomarkers, including PSA and TNF-α, as described in the disclosed context.
Detection of DNA, including disclosed examples of DNA detection.
Use of the method in serum/buffer for attomolar protein and DNA detection, as described in the disclosed examples.
Measurement workflows incorporating ELISA and fluorescence imaging/software as described in the disclosed context.
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