Evidence map›Paper›PMID 37405640›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Construction of Synthetic VHH Libraries in Ribosome Display Format.

Audrey Guilbaud, Frédéric Pecorari

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

6 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. More tools to uncover cancer cells.Molecular therapy. Oncology · 2026
    Article
  3. In Vitro Selection of Antibodies by Ribosome Display.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Review
  5. Article
  6. 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

2 authors at 2 institutions in 1 country.

Audrey GuilbaudNantes Université, Univ Angers, INSERM, CNRS, Immunology and New Concepts in ImmunoTherapy, INCIT, UMR 1302/EMR6001, Nantes, France.
Frédéric PecorariNantes Université, Univ Angers, INSERM, CNRS, Immunology and New Concepts in ImmunoTherapy, INCIT, UMR 1302/EMR6001, Nantes, France. frederic.pecorari@univ-nantes.fr.
Immunologie et Nouveaux Concepts en ImmunothérapieInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-domain antibodies, or VHH, represent an attractive molecular basis to design affinity proteins with favorable properties. Beyond high affinity and specificity for their cognate target, they usually show high stability and high production yields in bacteria, yeast, or mammalian cells. In addition to these favorable properties, their ease of engineering makes them useful for many applications. Until the past few years, the generation of VHH involved the immunization of a Camelidae with the target antigen, followed by a phage display selection using phage libraries encoding the VHH repertoire of the animal blood sample. However, this approach is constrained by the accessibility to the animals, and the output relies on the animal's immune system.Recently, synthetic VHH libraries have been designed to avoid the use of animals. Here, we describe the construction of VHH combinatorial libraries and their use for the selection of binders by ribosome display, a fully in vitro selection technique.

Indexed as

BacteriophagesSingle-Domain AntibodiesAnimalsAntigensCell Surface Display TechniquesMammalsPeptide LibraryRibosomesAntigensPeptide LibrarySingle-Domain AntibodiesNanobodyRibosome displaySingle-domain antibodySynthetic libraryVHH

Identifiers

PMID37405640
OpenAlexW4383186271

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.