ArticleACS nano2024
Deep Learning-Assisted Single-Molecule Detection of Protein Post-translational Modifications with a Biological Nanopore.
Article in ACS nano, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 51 citations in OpenAlex.
- A self-assembled peptide forms α-helical nanopores for ultrasensitive biomarker profiling.Nature nanotechnology · 2026Article
- Sub-Nanomolar Detection and Discrimination of Microcystin Congeners Using Aerolysin Nanopores.ACS nano · 2026Article
- Post-translational modifications in metabolic reprogramming: implications for metabolic therapy and immunotherapy in cancer.Signal transduction and targeted therapy · 2026Review
- Threading Precision: Progress and Emerging Trends in Aptamer-Based Nanopore Sensing.Biosensors · 2026Review
- Single-Molecule Fingerprinting of Unlabeled Full-Length Proteins Using an Aerolysin Nanopore.Journal of the American Chemical Society · 2026Article
- Site-specific post-translational modification detection by polar charged engineered MspA nanopores.Chemical science · 2026Article
- NphosNet: Predicting Protein N-Phosphorylation Sites via xLSTM and Enhanced PLM Features with a Weighted Three-Channel Cross-Attention Mechanism.Interdisciplinary sciences, computational life sciences · 2026Article
- NanoSSL: attention mechanism-based self-supervised learning method for protein identification using nanopores.Bioinformatics (Oxford, England) · 2026Article
- Selective Identification of Allosteric Inhibitors and Co-Drug Combinations Targeting Kinases by Using a Nanopore Tweezer Approach.ACS nano · 2025Article
- Micro- and nanoscale biosensing technologies for early diagnosis of Parkinson's disease.Mikrochimica acta · 2025Review
- Insights to Resistive Pulse Sensing of Microparticle and Biological Cells on Microfluidic Chip.Biosensors · 2025Review
- Single-Molecule SERS Discrimination of Proline from Hydroxyproline Assisted by a Deep Learning Model.Nano letters · 2025Article
- Controlled Sensing of User-Defined Aptamer-Based Targets Using Scanning Ionic Conductance Spectroscopy.ACS nano · 2025Article
- Nanopore sensing of protein and peptide conformation for point-of-care applications.Nature communications · 2025Review
- Detection of protein oligomers with nanopores.Nature reviews. Chemistry · 2025Review
- Detection of protein oligomers with nanopores.Nature reviews. Chemistry · 2025Review
- Aerolysin Nanopore Structures Revealed at High Resolution in a Lipid Environment.Journal of the American Chemical Society · 2025Article
- Tracking flaviviral protease conformational dynamics by tuning single-molecule nanopore tweezers.Biophysical journal · 2025Article
- Artificial Intelligence Transforming Post-Translational Modification Research.Bioengineering (Basel, Switzerland) · 2024Review
- Single-Molecule Bioelectronic Sensors with AI-Aided Data Analysis: Convergence and Challenges.Precision chemistry · 2024Review
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein post-translational modifications (PTMs) play a crucial role in countless biological processes, profoundly modulating protein properties on both spatial and temporal scales. Protein PTMs have also emerged as reliable biomarkers for several diseases. However, only a handful of techniques are available to accurately measure their levels, capture their complexity at a single molecule level, and characterize their multifaceted roles in health and disease. Nanopore sensing provides high sensitivity for the detection of low-abundance proteins, holding the potential to impact single-molecule proteomics and PTM detection, in particular. Here, we demonstrate the ability of a biological nanopore, the pore-forming toxin aerolysin, to detect and distinguish α-synuclein-derived peptides bearing single or multiple PTMs, namely, phosphorylation, nitration, and oxidation occurring at different positions and in various combinations. The characteristic current signatures of the α-synuclein peptide and its PTM variants could be confidently identified by using a deep learning model for signal processing. We further demonstrate that this framework can quantify α-synuclein peptides at picomolar concentrations and detect the C-terminal peptides generated by digestion of full-length α-synuclein. Collectively, our work highlights the advantage of using nanopores as a tool for simultaneous detection of multiple PTMs and facilitates their use in biomarker discovery and diagnostics.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.