Evidence map›Paper›PMID 38351230›Full record

ArticleNature nanotechnology2024

Full-length single-molecule protein fingerprinting.

Mike Filius, Raman van Wee, Carlos de Lannoy, Ilja Westerlaken, Zeshi Li, Sung Hyun Kim, Cecilia de Agrela Pinto, Yunfei Wu, Geert-Jan Boons, Martin Pabst and 2 more

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In one paragraph

Article in Nature nanotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
6.7field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  7. Review
  8. Proteoforms as the true units of physiological function.European journal of applied physiology · 2026
    Review
  9. Article
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  11. Article
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  13. Review
  14. Article
  15. Article
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  17. Nano letters · 2024
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 2 countries.

Mike FiliusDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0002-5434-8358
Raman van Wee *Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0001-8941-3693
Carlos de Lannoy *Department of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.
Ilja WesterlakenDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.
Zeshi LiDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0002-8358-3162
Sung Hyun KimDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0001-9272-7036
Cecilia de Agrela PintoDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0001-6909-1279
Yunfei WuDepartment of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Geert-Jan BoonsDepartment of Chemical Biology and Drug Discovery, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Martin PabstDepartment of Biotechnology, Delft University of Technology, Delft, The Netherlands.ORCID 0000-0001-9897-0723
Dick de RidderBioinformatics Group, Wageningen University, Wageningen, The Netherlands.ORCID 0000-0002-4944-4310
Chirlmin JooDepartment of Bionanoscience, Kavli Institute of Nanoscience, Delft University of Technology, Delft, The Netherlands. c.joo@tudelft.nl.ORCID 0000-0003-2803-0335
Delft University of Technology · NLEwha Womans University · KRUtrecht University · NLWageningen University & Research · NL

Funding

Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) SMPSNederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) SMPS3Nederlandse Organisatie voor Wetenschappelijk Onderzoek (Netherlands Organisation for Scientific Research) Vici
6 · The paper itself

Abstract

Proteins are the primary functional actors of the cell. While proteoform diversity is known to be highly biologically relevant, current protein analysis methods are of limited use for distinguishing proteoforms. Mass spectrometric methods, in particular, often provide only ambiguous information on post-translational modification sites, and sequences of co-existing modifications may not be resolved. Here we demonstrate fluorescence resonance energy transfer (FRET)-based single-molecule protein fingerprinting to map the location of individual amino acids and post-translational modifications within single full-length protein molecules. Our data show that both intrinsically disordered proteins and folded globular proteins can be fingerprinted with a subnanometer resolution, achieved by probing the amino acids one by one using single-molecule FRET via DNA exchange. This capability was demonstrated through the analysis of alpha-synuclein, an intrinsically disordered protein, by accurately quantifying isoforms in mixtures using a machine learning classifier, and by determining the locations of two O-GlcNAc moieties. Furthermore, we demonstrate fingerprinting of the globular proteins Bcl-2-like protein 1, procalcitonin and S100A9. We anticipate that our ability to perform proteoform identification with the ultimate sensitivity may unlock exciting new venues in proteomics research and biomarker-based diagnosis.

Indexed as

Fluorescence Resonance Energy Transferalpha-SynucleinHumansIntrinsically Disordered ProteinsMachine LearningPeptide MappingProtein Processing, Post-TranslationalSingle Molecule Imagingalpha-SynucleinIntrinsically Disordered Proteins

Identifiers

PMID38351230
OpenAlexW4391779771

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.