The detection of single protein molecules1,2 in blood could help identify many new diagnostic protein markers. We report an approach for detecting hundreds to thousands of individual protein molecules simultaneously that enables the detection of very low concentrations of proteins. Proteins are captured on microscopic beads and labeled with an enzyme, such that each bead has either one or zero enzyme-labeled proteins. By isolating these beads in arrays of 50-femtoliter reaction chambers, single proteins can be detected by fluorescence imaging. By singulating molecules in these arrays, ~10–20 enzymes can be detected in 100 μL (~10−19 M). Single molecule enzyme-linked immunosorbent assays (digital ELISA) based on singulation of enzyme labels enabled the detection of clinically-relevant proteins in serum at concentrations (<10−15 M) much lower than conventional ELISA3-5. Digital ELISA detected prostate specific antigen in all tested sera from patients who had undergone radical prostatectomy, down to 14 fg/mL (0.4 fM).

We report a method for combining the detection of single molecules (digital) and an ensemble of molecules (analog) that is capable of detecting enzyme label from 10 −19 M to 10 −13 M, for use in high sensitivity enzyme-linked immunosorbent assays (ELISA). The approach works by capturing proteins on microscopic beads, labeling the proteins with enzymes using a conventional multi-step immunosandwich approach, isolating the beads in an array of 50-femtoliter wells (Single Molecule Array, SiMoA), and detecting bead-associated enzymatic activity using fluorescence imaging. At low concentrations of proteins, when the ratio of enzyme labels to beads is less than ∼1.2, beads carry either zero or low numbers of enzymes, and protein concentration is quantified by counting the presence of "on" or "off" beads (digital regime) 1 . At higher protein concentrations, each bead typically carries multiple enzyme labels, and the average number of enzyme labels present on each bead is quantified from a measure of the average fluorescence intensity (analog regime). Both the digital and analog concentration ranges are quantified by a common unit, namely, average number of enzyme labels per bead (AEB). By combining digital and analog detection of singulated beads, a linear dynamic range of over 6 orders of magnitude to enzyme label was achieved. Using this approach, an immunoassay for prostate specific antigen (PSA) was developed. The combined digital and analog PSA assay provided linear response over approximately four logs of concentration ([PSA] from 8 fg/mL -100 pg/mL or 250 aM -3.3 pM). This approach extends the dynamic range of ELISA from picomolar levels down to subfemtomolar levels in a single measurement.

Disease detection at the molecular level is driving the emerging revolution of early diagnosis and treatment. A challenge facing the field is that protein biomarkers for early diagnosis can be present in very low abundance. The lower limit of detection with conventional immunoassay technology is the upper femtomolar range (10 −13 M). Digital immunoassay technology has improved detection sensitivity three logs, to the attomolar range (10 −16 M). This capability has the potential to open new advances in diagnostics and therapeutics, but such technologies have been relegated to manual procedures that are not well suited for efficient routine use. We describe a new laboratory instrument that provides full automation of single-molecule array (Simoa) technology for digital immunoassays. The instrument is capable of single-molecule sensitivity and multiplexing with short turnaround times and a throughput of 66 samples/h. Singleplex and multiplexed digital immunoassays were developed for 16 proteins of interest in cardiovascular, cancer, infectious disease, neurology, and inflammation research. The average sensitivity improvement of the Simoa immunoassays versus conventional ELISA was >1200-fold, with coefficients of variation of <10%. The potential of digital immunoassays to advance human diagnostics was illustrated in two clinical areas: traumatic brain injury and early detection of infectious disease.

Amyloid β (Aβ) peptides are proteolytic products from amyloid precursor protein (APP) and are thought to play a role in Alzheimer disease (AD) pathogenesis. While much is known about molecular mechanisms underlying cerebral Aβ accumulation in familial AD, less is known about the cause(s) of brain amyloidosis in sporadic disease. Animal and postmortem studies suggest that Aβ secretion can be up-regulated in response to hypoxia. We employed a new technology (Single Molecule Arrays, SiMoA) capable of ultrasensitive protein measurements and developed a novel assay to look for changes in serum Aβ42 concentration in 25 resuscitated patients with severe hypoxia due to cardiac arrest. After a lag period of 10 or more hours, very clear serum Aβ42 elevations were observed in all patients. Elevations ranged from approximately 80% to over 70-fold, with most elevations in the range of 3–10-fold (average approximately 7-fold). The magnitude of the increase correlated with clinical outcome. These data provide the first direct evidence in living humans that ischemia acutely increases Aβ levels in blood. The results point to the possibility that hypoxia may play a role in the amyloidogenic process of AD.

We have developed a highly sensitive immunoassay—called digital ELISA—that is based on the detection of single enzyme-linked immunocomplexes on beads that are sealed in arrays of femtoliter wells. Digital ELISA was designed to be highly efficient in the capturing of target proteins, labeling of these proteins, and their detection in single molecule arrays (SiMoA); in essence, the goal of the assay is to “capture every molecule, detect every molecule”. Here we provide the theoretical basis for the design of this assay derived from simple equations based on bimolecular interactions. Using these equations and knowledge of the concentrations of reagents, the times of interactions, and the on- and off-rates of the molecular interactions for each step of the assay, it is possible to predict the number of immunocomplexes that are formed and detected by SiMoA. The unique ability of SiMoA to count single immunocomplexes and determine an average number of enzymes per bead (AEB), makes it possible to directly compare the number of molecules detected experimentally to those predicted by theory. These predictions compare favorably to experimental data generated for a digital ELISA for prostate specific antigen (PSA). The digital ELISA process is efficient across a range of antibody affinities (KD ~ 10−11–10−9 M), and antibodies with high on-rates (kon > 105 M−1 s−1) are predicted to perform best. The high efficiency of digital ELISA and sensitivity of SiMoA to enzyme label also makes it possible to reduce the concentration of labeling reagent, reduce backgrounds, and increasing the specificity of the approach. Strategies for dealing with the dissociation of antibody complexes over time that can affect the signals in an assay are also described.