Evidence map›Paper›PMID 27472381›Full record

ArticlemAbs2016

High affinity nanobodies against human epidermal growth factor receptor selected on cells by E. coli display.

Valencio Salema, Carmen Mañas, Lidia Cerdán, Carlos Piñero-Lambea, Elvira Marín, Rob C Roovers, Paul M P Van Bergen En Henegouwen, Luis Ángel Fernández

Open access · goldAbstract read
In one paragraph

Article in mAbs, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Improving the production and stability of nanobodies.Protein engineering, design & selection : PEDS · 2025
    Article
  6. Article
  7. NANOBODIES®: A Review of Diagnostic and Therapeutic ApplicationsInternational journal of molecular sciences · 2023
    Review
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Review
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

8 authors at 3 institutions in 2 countries.

Valencio Salemaa Department of Microbial Biotechnology , Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CSIC), Campus UAM Cantoblanco , Madrid , Spain.
Carmen Mañasa Department of Microbial Biotechnology , Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CSIC), Campus UAM Cantoblanco , Madrid , Spain.
Lidia Cerdána Department of Microbial Biotechnology , Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CSIC), Campus UAM Cantoblanco , Madrid , Spain.
Carlos Piñero-Lambeaa Department of Microbial Biotechnology , Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CSIC), Campus UAM Cantoblanco , Madrid , Spain.
Elvira Marína Department of Microbial Biotechnology , Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CSIC), Campus UAM Cantoblanco , Madrid , Spain.
Rob C Rooversb Cell Biology, Department of Biology, Science Faculty, Utrecht University , Utrecht , The Netherlands.
Paul M P Van Bergen En Henegouwenb Cell Biology, Department of Biology, Science Faculty, Utrecht University , Utrecht , The Netherlands.
Luis Ángel Fernándeza Department of Microbial Biotechnology , Centro Nacional de Biotecnología, Consejo Superior de Investigaciones Científicas (CSIC), Campus UAM Cantoblanco , Madrid , Spain.
Consejo Superior de Investigaciones Científicas · ESCentro Nacional de Biotecnología · ESUtrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most therapeutic antibodies (Abs) target cell surface proteins on tumor and immune cells. Cloning of Ab gene libraries in E. coli and their display on bacteriophages is commonly used to select novel therapeutic Abs binding target antigens, either purified or expressed on cells. However, the sticky nature of bacteriophages renders phage display selections on cells challenging. We previously reported an E. coli display system for expression of VHHs (i.e., nanobodies, Nbs) on the surface of bacteria and selection of high-affinity clones by magnetic cell sorting (MACS). Here, we demonstrate that E. coli display is also an attractive method for isolation of Nbs against cell surface antigens, such as the epidermal growth factor receptor (EGFR), upon direct selection and screening of Ab libraries on live cells. We employ a whole cell-based strategy using a VHH library obtained by immunization with human tumor cells over-expressing EGFR (i.e., A431), and selection of bacterial clones bound to murine fibroblast NIH-3T3 cells transfected with human EGFR, after depletion of non-specific clones on untransfected cells. This strategy resulted in the isolation of high-affinity Nbs binding distinct epitopes of EGFR, including Nbs competing with the ligand, EGF, as characterized by flow cytometry of bacteria displaying the Nbs and binding assays with purified Nbs using surface plasmon resonance. Hence, our study demonstrates that E. coli display of VHH libraries and selection on cells enables efficient isolation and characterization of high-affinity Nbs against cell surface antigens.

Indexed as

AnimalsCell Surface Display TechniquesErbB ReceptorsEscherichia coliHumansPeptide LibrarySingle-Domain AntibodiesEGFR protein, humanErbB ReceptorsPeptide LibrarySingle-Domain AntibodiesAntibody displaybacterial displaycell surface antigenE. coliEGFRnanobodieson-cell selectionsingle-domain antibodiestumor-associated antigen

Identifiers

PMID27472381
PMCPMC5058628
OpenAlexW2506828814

What OpenQuestion holds

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LicenceCC BY-NC
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.