Evidence map›Paper›PMID 31011184›Full record

ArticleNature methods2019

Engineered peptide barcodes for in-depth analyses of binding protein libraries.

Pascal Egloff, Iwan Zimmermann, Fabian M Arnold, Cedric A J Hutter, Damien Morger, Lennart Opitz, Lucy Poveda, Hans-Anton Keserue, Christian Panse, Bernd Roschitzki and 1 more

Abstract read
In one paragraph

Article in Nature methods, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
–field-weighted citation impact
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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Flycodes enable simultaneous preclinical analysis for dozens of antibodies in single cassette-dosed mice.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Methods for Engineering Binders to Multi-Pass Membrane Proteins.Bioengineering (Basel, Switzerland) · 2023
    Review
  14. Article
  15. Review
  16. Article
  17. Nanobodies: Robust miniprotein binders in biomedicine.Advanced drug delivery reviews · 2023
    Review
  18. Article
  19. De novo design of small beta barrel proteins.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  20. Article
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

11 authors.

Pascal Egloff *Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-8948-3704
Iwan Zimmermann *Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-3476-4749
Fabian M ArnoldInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland.
Cedric A J HutterInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8920-3343
Damien Morgerrqmicro Ltd, Schlieren, Switzerland.
Lennart OpitzFunctional Genomics Center Zurich, University of Zurich/Swiss Federal Institute of Technology, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-7945-6737
Lucy PovedaFunctional Genomics Center Zurich, University of Zurich/Swiss Federal Institute of Technology, Zurich, Switzerland.
Hans-Anton Keseruerqmicro Ltd, Schlieren, Switzerland.
Christian PanseFunctional Genomics Center Zurich, University of Zurich/Swiss Federal Institute of Technology, Zurich, Switzerland.ORCID http://orcid.org/0000-0003-1975-3064
Bernd RoschitzkiFunctional Genomics Center Zurich, University of Zurich/Swiss Federal Institute of Technology, Zurich, Switzerland.ORCID http://orcid.org/0000-0001-5756-9773
Markus A SeegerInstitute of Medical Microbiology, University of Zurich, Zurich, Switzerland. m.seeger@imm.uzh.ch.ORCID http://orcid.org/0000-0003-1761-8571

Funding

Swiss National Science Foundation 144823Swiss National Science Foundation 170625
6 · The paper itself

Abstract

Binding protein generation typically relies on laborious screening cascades that process candidate molecules individually. We have developed NestLink, a binder selection and identification technology able to biophysically characterize thousands of library members at once without the need to handle individual clones at any stage of the process. NestLink uses genetically encoded barcoding peptides termed flycodes, which were designed for maximal detectability by mass spectrometry and support accurate deep sequencing. We demonstrate NestLink's capacity to overcome the current limitations of binder-generation methods in three applications. First, we show that hundreds of binder candidates can be simultaneously ranked according to kinetic parameters. Next, we demonstrate deep mining of a nanobody immune repertoire for membrane protein binders, carried out entirely in solution without target immobilization. Finally, we identify rare binders against an integral membrane protein directly in the cellular environment of a human pathogen. NestLink opens avenues for the selection of tailored binder characteristics directly in tissues or in living organisms.

Indexed as

Peptide LibraryBacterial Outer Membrane ProteinsCarrier ProteinsChromatography, LiquidDNA Barcoding, TaxonomicHigh-Throughput Nucleotide SequencingLegionella pneumophilaMembrane ProteinsTandem Mass SpectrometryBacterial Outer Membrane ProteinsCarrier ProteinsMembrane ProteinsPeptide Library

Identifiers

PMID31011184
PMCPMC7116144

What OpenQuestion holds

Textmetadata
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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.