2019
DOI: 10.1101/837542
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Multiplexed direct detection of barcoded protein reporters on a nanopore array

Abstract: Genetically encoded reporter proteins are a cornerstone of molecular biology. While they are widely used to measure many biological activities, the current number of uniquely addressable reporters that can be used together for one-pot multiplexed tracking is small due to overlapping detection channels such as fluorescence. To address this, we built an expanded library of orthogonally-barcoded Nanopore-addressable protein Tags Engineered as Reporters (NanoporeTERs), which can be read and demuxed by nanopore sen… Show more

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Cited by 7 publications
(7 citation statements)
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“…Studies evaluating filter placement and size, as well as control experiments in simulated environments, could further validate the sensitivity of the method. City-wide deployments enabled by scalable detection methods, such as rapid diagnostic lateral flow detection for on-site detection enabled by miniaturized PCR devices 41 or sequencers, 49 could gather more data, enabling network analysis techniques to study probability of SARS-CoV-2 transmission on a neighborhood level. This method could be adapted and deployed to provide an early signal of community outbreak of SARS-CoV-2, or other viruses transmitted by respiratory droplets, when case counts are low in the population.…”
Section: Discussionmentioning
confidence: 99%
“…Studies evaluating filter placement and size, as well as control experiments in simulated environments, could further validate the sensitivity of the method. City-wide deployments enabled by scalable detection methods, such as rapid diagnostic lateral flow detection for on-site detection enabled by miniaturized PCR devices 41 or sequencers, 49 could gather more data, enabling network analysis techniques to study probability of SARS-CoV-2 transmission on a neighborhood level. This method could be adapted and deployed to provide an early signal of community outbreak of SARS-CoV-2, or other viruses transmitted by respiratory droplets, when case counts are low in the population.…”
Section: Discussionmentioning
confidence: 99%
“…Recently, Rodriguez-Larrea's group has discussed how protein refolding at the entry and exit compartments can oppose and promote protein translocation, respectively 72,73 , and the use of deep learning networks to analyze raw ionic current signals for accurate classification of single point mutations in a translocating protein 74 . In addition, Cardozo et al built a library of approximately 20 proteins that are orthogonally barcoded with an intrinsic peptide sequence and successfully read them with nanopore sensors 75 .…”
Section: Biological and Solid-state Nanoporesmentioning
confidence: 99%
“…The “tug-of-war” state created by the terminal charged residues enabled slow translocation (>1 ms) of peptides through a FraC nanopore to read out PTMs and 6 distinct chemical tags on the peptides. Our group has recently shown that an Smt3 protein genetically tagged at its C-terminus with a polyGSD peptide can promote capture of the protein in a CsgG nanopore but does not readily drive unfolding and complete translocation ( Cardozo et al., 2021 ). This observation supports the conclusion that a more highly charged peptide or the addition of other mechanisms would be necessary to generate enough force to completely unfold and translocate stably folded proteins through a narrow nanopore.…”
Section: Approaches For Protein/peptide Translocation Through a Nanoporementioning
confidence: 99%
“…This strategy has been adopted in efforts toward nanopore-based protein/peptide identification ( Restrepo-Pérez et al., 2019a ). Third, the emergence of commercial nanopore sequencers has enabled highly parallel nanopore analysis and high-throughput data collection on a nanopore array ( Cardozo et al., 2021 ; Zhang et al., 2021b ), which otherwise would not be realized by single-channel experiments. A large set of training data, coupled with state-of-the-art machine learning models, would boost accurate translation of complex raw signals into amino acid sequences and PTMs, analogous to the example of highly improved basecalling accuracy in nanopore DNA sequencing using deep learning ( Rang et al., 2018 ; Teng et al., 2018 ; Wick et al., 2019 ).…”
Section: Conclusion and Perspectivementioning
confidence: 99%
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