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Multiplexed Digital Characterisation of Misfolded Protein Oligomers via Solid-State Nanopores

Sandler, S. E.; Horne, R. I.; Rocchetti, S.; Novak, R.; Hsu, N.-S.; Cruz, M. C.; Brotzakis, Z. F.; Gregory, R. C.; Chia, S.; Bernardes, G. J. L.; Keyser, U. F.; Vendruscolo, M.

2023-08-13 biophysics
10.1101/2023.08.09.552642 bioRxiv
Show abstract

Misfolded protein oligomers are of central importance in both the detection and treatment of Alzheimers and Parkinsons diseases. However, accurate high-throughput methods to identify and quantify oligomer populations are currently lacking. We present here a single-molecule approach for the detection of oligomeric species. The approach is based on the use of solid state nanopores and multiplexed DNA barcoding to identify and characterise oligomers from multiple samples. We study -synuclein oligomers in the presence of several small molecule inhibitors of -synuclein aggregation, as an illustration of the applicability of this method to assist the development of diagnostic and therapeutic methods for Parkinsons disease.

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"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.