Evidence map›Paper›PMID 42400836›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Yeast Display of Single-Chain Fc Fragments with Modulated Binding of Effector Molecules.

Katharina Stadlbauer, Cecilia Wick, Julia Gobl, Wolfgang Wallner, Annika de Sousa Linhares, Jochen Stritzker, Gordana Wozniak-Knopp

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Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Katharina StadlbauerInstitute for Molecular Biotechnology, Department of Biotechnology and Food Sciences, BOKU University, Vienna, Austria.
Cecilia WickInstitute for Molecular Biotechnology, Department of Biotechnology and Food Sciences, BOKU University, Vienna, Austria.
Julia GoblLoopLab Bio GmbH, Vienna, Austria.
Wolfgang WallnerLoopLab Bio GmbH, Vienna, Austria.
Annika de Sousa LinharesLoopLab Bio GmbH, Vienna, Austria.
Jochen StritzkerLoopLab Bio GmbH, Vienna, Austria.
Gordana Wozniak-KnoppInstitute for Molecular Biotechnology, Department of Biotechnology and Food Sciences, BOKU University, Vienna, Austria. gordana.wozniak@boku.ac.at.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Yeast display platform has proven instrumental for directed evolution of diverse proteins towards altered binding specificity, affinity, or improved biophysical properties. Particularly in antibody display, this method has delivered variants that are featured today as integral parts of approved therapeutic agents. While broadly used for discovery of binding agents, yeast display has also been applied for optimization of properties of Fc fragment. Among the bispecific antibody formats, which come in a variety of different molecular architectures, the single-chain Fc is a less explored alternative. This format offers novel opportunities for positioning of binding sites in a multispecific molecule, however, necessitates special design due to its unique features such as linker. We tested the amenability of yeast system for the efficient presentation of the single-chain IgG Fc and characterized the displayed fragments for binding of structural markers and Fc gamma receptors. Taken together, this chapter sets the base for successful use of yeast display in isolation of single-chain Fc variants with tailored ligand-binding properties.

Indexed as

Immunoglobulin Fc FragmentsSaccharomyces cerevisiaeSingle-Chain AntibodiesHumansProtein BindingReceptors, IgGImmunoglobulin Fc FragmentsReceptors, IgGSingle-Chain AntibodiesSingle-chain Fc, Fc-gamma receptor, Copy number, Directed evolution, Yeast display

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Registered trials

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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.