Evidence map›Paper›PMID 17873070›Full record

ArticleApplied and environmental microbiology2007

Evaluation of staphylococcal cell surface display and flow cytometry for postselectional characterization of affinity proteins in combinatorial protein engineering applications.

John Löfblom, Julia Sandberg, Henrik Wernérus, Stefan Ståhl

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 24 citations in OpenAlex.

  1. Bacterial Cell Display for Selection of Affibody Molecules.Methods in molecular biology (Clifton, N.J.) · 2023
    Review
  2. Review
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  8. Bacterial display enables efficient and quantitative peptide affinity maturation.Protein engineering, design & selection : PEDS · 2010
    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

4 authors at 2 institutions in 1 country.

John LöfblomSchool of Biotechnology, Royal Institute of Technology, AlbaNova University Center, SE-106 91 Stockholm, Sweden.
Julia Sandberg
Henrik Wernérus
Stefan Ståhl
AlbaNova · SEKTH Royal Institute of Technology · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For efficient generation of high-affinity protein-based binding molecules, fast and reliable downstream characterization platforms are needed. In this work, we have explored the use of staphylococcal cell surface display together with flow cytometry for affinity characterization of candidate affibody molecules directly on the cell surface. A model system comprising three closely related affibody molecules with different affinities for immunoglobulin G and an albumin binding domain with affinity for human serum albumin was used to investigate advantages and differences compared to biosensor technology in a side-by-side manner. Equilibrium dissociation constant (K(D)) determinations as well as dissociation rate analysis were performed using both methods, and the results show that the on-cell determinations give both K(D) and dissociation rate values in a very fast and reproducible manner and that the relative affinities are very similar to the biosensor results. Interestingly, the results also show that there are differences between the absolute affinities determined with the two different technologies, and possible explanations for this are discussed. This work demonstrates the advantages of cell surface display for directed evolution of affinity proteins in terms of fast postselectional, on-cell characterization of candidate clones without the need for subcloning and subsequent protein expression and purification but also demonstrates that it is important to be aware that absolute affinities determined using different methods often vary substantially and that such comparisons therefore could be difficult.

Indexed as

Protein EngineeringAntibodiesBacterial Outer Membrane ProteinsBinding SitesBiosensing TechniquesFlow CytometryHumansImmunoglobulin GStaphylococcusAntibodiesBacterial Outer Membrane ProteinsImmunoglobulin G

Identifiers

PMID17873070
PMCPMC2074959
OpenAlexW2170587062

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.