(718b) Lithography Free Mem-Delisa Platform for Dual Color and Ultrasensitive Digital Detection of Colocalized Proteins on Extracellular Vesicles
AIChE Annual Meeting
2024
2024 AIChE Annual Meeting
Food, Pharmaceutical & Bioengineering Division
Advances in Biosensing
Thursday, October 31, 2024 - 4:10pm to 4:28pm
The current gold standard for protein detection, Enzyme-Linked Immunosorbent Assay (ELISA), suffers from suboptimal limit of detection (~nM-pM), thereby limiting the identification of clinically relevant protein biomarkers (~pM-fM) across various pathological conditions. To surmount this limitation, single-molecule array (Simoa) technology has emerged as a promising alternative. Simoa involves the formation of an immunocomplex wherein a protein molecule is sandwiched between antibody-coated magnetic beads and an enzyme-conjugated detection antibody. Subsequently, this immunocomplex is partitioned into numerous femtoliter (fL) reaction chambers, ensuring that each chamber contains either one or zero molecules. The resulting digital readout provides precise quantification of protein biomarkers, thereby circumventing biases inherent in analog detection methods. However, numerous technical and practical challenges have impeded further development of multiplex digital protein assay for nanocarrier detection.
First, digital protein assay is performed in specially fabricated microwells using expensive and complex lithography techniques, thus increasing complexity and overall expense. Second, the total number of microwells in the device determines the sensor's dynamic range, which is constrained by the master mold's tunability and limits the application of these biosensors for extensive multiplexing applications. Third, air bubbles are often trapped within microwells, potentially affecting quantification accuracy. Resolving this issue often involves bulky vacuum pumps and costly surface modifications. Lastly and most importantly, Simoa-based multiplex digital protein assays are typically restricted to 3-plex immunoassays due to the use of color-coded magnetic beads and a single enzyme amplification reaction. This limits their suitability for applications requiring analysis of multiple protein signatures, such as protein colocalization assays on extracellular vesicles, lipoproteins, viruses, and proteins with multiple epitopes. Addressing these challenges is crucial for broader adoption of digital protein assays in various biomedical applications.
In this study, we introduce a novel dual-color Membrane Digital ELISA (Mem-dELISA) platform that overcomes the limitations of existing methods in a lithography-free and cost-effective manner (< $0.1 per assay). Our approach utilizes track-etched polycarbonate (PCTE) membranes, which possess through-pores (~5 µm) capable of effectively removing air bubbles via wicking. These membranes are sealed on one side through adhesion on the PDMS substrate to create microwells. Immunomagnetic bead-analyte complexes and substrate solution are then introduced into the microwells from the opposite side, achieving over 80% loading efficiency, before sealing with oil. We identified two enzyme candidates: beta galactosidase and alkaline phosphatase and their substrate combinations that demonstrate minimum cross reactivity and spectral overlap. Our Mem-dELISA platform demonstrates exceptional performance, achieving a dynamic range spanning 5 logs and an ultrasensitive limit of detection of 10 aM for both Biotinylated β-galactosidase (B-βG) and Biotin Alkaline Phosphatase Conjugated (B-ALP) proteins. As a proof-of-concept study, we showcase Mem-dELISAâs utility by illustrating that a higher dosage of paclitaxel (chemotherapy drug) effectively suppresses EpCAM-positive extracellular vesicles (EVs) but not GPC-1 positive EVs from breast cancer cells. This decrease in chemo-resistance is not discernible through conventional Western blot analysis of cell lysate. The Mem-dELISA platform offers significant potential for researchers, enabling ultrasensitive and high-throughput protein colocalization studies for disease diagnostics, treatment monitoring, and biomarker discovery. Its simplicity, affordability, and effectiveness position it as a valuable tool for advancing research in diverse biomedical applications.