(592b) Quantifying Enzymatic Exosomes for Cancer Companion Diagnostics Using Magnetic Nanoporous Membrane (MNM)-Based Activity Assay
AIChE Annual Meeting
2023
2023 AIChE Annual Meeting
Food, Pharmaceutical & Bioengineering Division
Micro- and Nano-scale Technologies in Life Sciences
Tuesday, November 7, 2023 - 8:18am to 8:36am
Our lab has been developing an activity-based assay meant for the detection of low concentration enzymatic sEVs with surface-bound ADAM10 in biofluids for use as a non-invasive companion diagnostic tool to monitor cancer progression and metastasis. The base activity assay relies on a highly specific peptide substrate target for ADAM10 designed to fluoresce once broken to proteolytic activity. This yields an activity assay that can produce readings in <1 hour. sEVs from biofluids or cell-cultured media are first isolated, and buffer exchanged with >90% capture using a tangential-flow asymmetric nanoporous membrane. These sEVs are incubated with superparamagnetic nanobeads functionalized with capture antibodies for various cell-surface protein biomarkers. Using a magnetic nanoporous membrane (MNM), the bound sEVs are trapped by the strong field gradient present at the sharp edges of the MNM pore edge at >99% capture. This, in effect, concentrates a low sEV concentration sample into a monolayer at the surface of the membrane thus amplifying an otherwise low signal response to the activity assay. The membrane system has been designed to operate in a 96-well plate so that the signal may be read using a standard lab-grade plate reader. Due to the strong anchoring of the target vesicles to the membrane surface and nondestructive nature of the activity assay, the individual sample can be drained, washed, and repeatedly assayed for surface features. The sEVs may be subsequently released or lysed for interrogation via other assays.
Zhang, C. et al. Electrodeposited magnetic nanoporous membrane for high-yield and high-throughput immunocapture of extracellular vesicles and lipoproteins. Commun Biol 5, 1-10 (2022).
Chen, X., Zhang, Y. & Guan, X. Simultaneous detection of multiple proteases using a non-array nanopore platform. Nanoscale 13, 13658-13664 (2021).
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