A Nanopore Sensor for Multiplexed Detection of Short Polynucleotides Based on Length-Variable, Poly-Arginine-Conjugated Peptide Nucleic Acids.

Real-time and easy-to-use detection of nucleic acids is crucial for many applications, including medical diagnostics, genetic screening, forensic science, or monitoring the onset and progression of various diseases. Herein, an exploratory single-molecule approach for multiplexed discrimination among similar-sized single-stranded DNAs (ssDNA) is presented. The underlying strategy combined (i) a method based on length-variable, short arginine (poly-Arg) tags appended to peptide nucleic acid (PNA) probes, designed to hybridize with selected regions from complementary ssDNA targets (cDNA) in solution and (ii) formation and subsequent detection with the α-hemolysin nanopore of (poly-Arg)-PNA-cDNA duplexes containing two overhangs associated with the poly-Arg tail and the non-hybridized segment from ssDNA. We discovered that the length-variable poly-Arg tail marked distinctly the molecular processes associated with the nanopore-mediated duplexes capture, trapping and unzipping. This enabled the detection of ssDNA targets via the signatures of (poly-Arg)-PNA-cDNA blockade events, rendered most efficient from the ß-barrel entrance of the nanopore, and scaled proportional in efficacy with a larger poly-Arg moiety. We illustrate the approach by sensing synthetic ssDNAs designed to emulate fragments from two regions of SARS-CoV-2 nucleocapsid phosphoprotein N-gene.

Teaching an old dog new tricks: A lipid membrane-based electric immunosensor for real-time probing of the spike S1 protein subunit from SARS-CoV-2.

Fast, cheap, and easy to implement point-of-care testing for various pathogens constituted a game changer in past years due to its potential for early disease diagnosis. Herein, we report on the proof-of-concept of a simple method enabling in vitro detection of a structural spike protein subunit from the SARS-CoV-2 (S1 ) in aqueous samples. At the core of this discovery lies the well-known paradigm of monitoring the capacitive current across a reconstituted zwitterionic lipid membrane subjected to a periodic transmembrane potential, followed by the real-time spectral analysis enabling the extraction of the second harmonic of the capacitive current. Subsequent changes in the amplitude of this harmonic recorded during lipid membrane-S1 interactions were correlated with alterations induced in the inner membrane potential profile by the S1 protein subunit adsorption, and were shown to be augmented by ionic strength, the presence of a specific monoclonal antibody designed against the S1 subunit and the angiotensin-converting enzyme 2 (ACE2) protein receptor, and uninhibited by the presence of other human serum proteins.

Non-Receptor-Mediated Lipid Membrane Permeabilization by the SARS-CoV-2 Spike Protein S1 Subunit.

Due to the pressing need to generate specific drugs or vaccines for COVID-19 and management of its outbreak, detailed knowledge regarding the SARS-CoV-2 entry into host cells and timely, cheap, and easy-to-use detection methods are of critical importance for containing the SARS-CoV-2 epidemic. Through electrophysiology and fluorescence spectroscopy experiments, we show that even in the absence of the angiotensin-converting enzyme 2 receptor, the S1 subunit from SARS-CoV-2 spike protein binding to neutral phospholipid membranes leads to their mechanical destabilization and permeabilization. A similar cytotoxic effect of the protein was seen in human lung epithelial cells. A monoclonal antibody generated toward the S1 subunit alleviates to a considerable extent the destabilizing potential of the protein in such model membranes. Finally, we demonstrate the proof-of-concept capability of an α-hemolysin (α-HL) protein nanopore to detect in aqueous buffer and real time the region-binding domain of the S1 subunit from SARS-CoV-2 spike protein by monitoring its immunological interaction with a target antibody. Our results may offer new perspectives in understanding the pathogenesis of the SARS-CoV-2 infection, its treatment, and real-time detection.