ArticleJournal of the American Chemical Society2023
Single-Molecule Peptide Identification Using Fluorescence Blinking Fingerprints.
Article in Journal of the American Chemical Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed.
- Article
- A general strategy towards multicolour fluorogenic peptides for wash-free bioassays.Nature chemistry · 2026Article
- smDeepFLUOR: single-molecule deep learning fluorescence classification.Nature communications · 2026Article
- A General Analytic Approach for Rapid Diagnostics by a Simple Algorithm for Fluorescence Single Molecule Counting.Biosensors · 2026Article
- Rapid and improved surface passivation method for Single-Molecule experiments.Methods (San Diego, Calif.) · 2026Article
- Foundation model for efficient biological discovery in single-molecule time traces.Nature methods · 2025Article
- DNA Origami Tension Sensors (DOTS) for Single-Molecule Force Measurements at Fluid Intermembrane Junctions.Nano letters · 2025Article
- Monitoring the Coating of Single DNA Origami Nanostructures with a Molecular Fluorescence Lifetime Sensor.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
- Photoswitchable Fluorescent Hydrazone for Super-Resolution Cell Membrane Imaging.Journal of the American Chemical Society · 2025Article
- Cryogenic single-molecule fluorescence imaging.BMB reports · 2025Review
- Amplifiable protein identification via residue-resolved barcoding and composition code counting.National science review · 2024Article
- Blinking characteristics of organic fluorophores for blink-based multiplexing.Communications chemistry · 2024Article
- Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The ability to identify peptides with single-molecule sensitivity would lead to next-generation proteomics methods for basic research and clinical applications. Existing single-molecule peptide sequencing methods can read some amino acid sequences, but they are limited in their ability to distinguish between similar amino acids or post-translational modifications. Here, we demonstrate that the fluorescence intermittency of a peptide labeled with a spontaneously blinking fluorophore contains information about the structure of the peptide. Using a deep learning algorithm, this single-molecule blinking pattern can be used to identify the peptide. This method can distinguish between peptides with different sequences, peptides with the same sequence but different phosphorylation patterns, and even peptides that differ only by the presence of epimerized residues. This study builds the foundation for a targeted proteomics method with single-molecule sensitivity.
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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.