Evidence map›Paper›PMID 35482199›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Humanization of Chicken-Derived Antibodies by Yeast Surface Display.

Jan P Bogen, Adrian Elter, Julius Grzeschik, Björn Hock, Harald Kolmar

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Avian Antibodies as Potential Therapeutic Tools.Antibodies (Basel, Switzerland) · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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

5 authors.

Jan P Bogen *Institute for Organic Chemistry and Biochemistry, Technische Universität Darmstadt, Darmstadt, Germany.
Adrian Elter *Institute for Organic Chemistry and Biochemistry, Technische Universität Darmstadt, Darmstadt, Germany.
Julius GrzeschikFerring Darmstadt Laboratory, Biologics Technology and Development, Darmstadt, Germany.
Björn HockFerring International Center S.A., Saint-Prex, Switzerland.
Harald KolmarInstitute for Organic Chemistry and Biochemistry, Technische Universität Darmstadt, Darmstadt, Germany. Kolmar@Biochemie-TUD.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chicken-derived antibodies emerged as a promising tool for diagnostic and therapeutic usage. Due to the phylogenetic distance between birds and mammals, chicken immunization campaigns with human antigens result in a chicken antibody (IgY) repertoire targeting epitopes not addressed by rodent-derived antibodies. However, this phylogenetic distance accounts for a low homology of IgY molecules to human antibodies, resulting in potential immunogenicity and thus excluding IgYs from therapeutic applications. Herein, we describe a straightforward method to efficiently humanize chicken-derived antibodies by a CDR-grafting-based approach, including a simultaneous randomization of key residues (Vernier residues). Utilizing yeast surface display (YSD) and fluorescence-activated cell sorting (FACS), yeast cells displaying functional humanized scFvs and Fab variants are isolated, and subsequent next-generation sequencing (NGS) enables the identification of humanized antibody variants with restored affinity and beneficial protein characteristics.

Indexed as

ChickensSaccharomyces cerevisiaeAnimalsAntibodiesMammalsPeptide LibraryPhylogenyAntibodiesPeptide LibraryCDR graftingChicken antibodyFluorescence-activated cell sortingHumanizationNext-generation sequencingVernier residuesYeast surface display

Identifiers

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.