Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 572

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

General Strategy to Humanize a Camelid Single-domain Antibody and Identification of a Universal Humanized Nanobody Scaffold

Open access
Vincke, Cécile, Loris, Remy, Saerens, Dirk, Martinez-Rodriguez, Sergio, Muyldermans, Serge, Conrath, Katja·2009·Journal of Biological Chemistry

Abstract

Nanobodies, single-domain antigen-binding fragments of camelid-specific heavy-chain only antibodies offer special advantages in therapy over classic antibody fragments because of their smaller size, robustness, and preference to target unique epitopes. A Nanobody differs from a human heavy chain variable domain in about ten amino acids spread all over its surface, four hallmark Nanobody-specific amino acids in the framework-2 region (positions 42, 49, 50, and 52), and a longer third antigen-binding loop (H3) folding over this area. For therapeutic applications the camelid-specific amino acid sequences in the framework have to be mutated to their human heavy chain variable domain equivalent, i.e. humanized. We performed this humanization exercise with Nanobodies of the subfamily that represents close to 80% of all dromedary-derived Nanobodies and investigated the effects on antigen affinity, solubility, expression yield, and stability. It is demonstrated that the humanization of Nanobody-specific residues outside framework-2 are neutral to the Nanobody properties. Surprisingly, the Glu-49 → Gly and Arg-50 → Leu humanization of hallmark amino acids generates a single domain that is more stable though probably less soluble. The other framework-2 substitutions, Phe-42 → Val and Gly/Ala-52 → Trp, are detrimental for antigen affinity, due to a repositioning of the H3 loop as shown by their crystal structures. These insights were used to identify a soluble, stable, well expressed universal humanized Nanobody scaffold that allows grafts of antigen-binding loops from other Nanobodies with transfer of the antigen specificity and affinity. Nanobodies, single-domain antigen-binding fragments of camelid-specific heavy-chain only antibodies offer special advantages in therapy over classic antibody fragments because of their smaller size, robustness, and preference to target unique epitopes. A Nanobody differs from a human heavy chain variable domain in about ten amino acids spread all over its surface, four hallmark Nanobody-specific amino acids in the framework-2 region (positions 42, 49, 50, and 52), and a longer third antigen-binding loop (H3) folding over this area. For therapeutic applications the camelid-specific amino acid sequences in the framework have to be mutated to their human heavy chain variable domain equivalent, i.e. humanized. We performed this humanization exercise with Nanobodies of the subfamily that represents close to 80% of all dromedary-derived Nanobodies and investigated the effects on antigen affinity, solubility, expression yield, and stability. It is demonstrated that the humanization of Nanobody-specific residues outside framework-2 are neutral to the Nanobody properties. Surprisingly, the Glu-49 → Gly and Arg-50 → Leu humanization of hallmark amino acids generates a single domain that is more stable though probably less soluble. The other framework-2 substitutions, Phe-42 → Val and Gly/Ala-52 → Trp, are detrimental for antigen affinity, due to a repositioning of the H3 loop as shown by their crystal structures. These insights were used to identify a soluble, stable, well expressed universal humanized Nanobody scaffold that allows grafts of antigen-binding loops from other Nanobodies with transfer of the antigen specificity and affinity. Minimizing the size of antigen-binding entities from a multidomain protein such as a monoclonal antibody to a single-chain variable fragment or even a single domain has been one of the primary goals of antibody engineering. For drug therapy, these smaller formats can be beneficial in various aspects such as immunogenicity, biodistribution, renal clearance, serum half-life, tissue penetration, and target retention. However, the minimal sized antibody fragments need to retain sufficiently high antigen specificity and affinity, be expressed in high yields, and should have a low tendency to aggregate so as to maintain maximal potency and reduce possible risks of immunogenicity. Moreover functionality in adverse environments such as high concentrations of denaturant or elevated temperatures, and a concomitant increased shelf-life are additional assets. A significant proportion of the functional antibodies within species of the Camelidae are devoid of light chains. These immunoglobulins are referred to as heavy-chain antibodies (1Hamers-Casterman C. Atarhouch T. Muyldermans S. Robinson G. Hamers C. Songa E.B. Bendahman N. Hamers R. Nature.. 1993; 363: 446-448Google Scholar), and their antigen-binding fragment is reduced to a single domain (referred to as VHH or Nanobody), with a molecular size of only ∼15 kDa, which is smaller in comparison to single-chain variable fragment fragments (30 kDa), Fab fragments (60 kDa), and whole antibodies (150 kDa). All Nanobodies belong to the same sequence family, closely related to that of the human VH 3The abbreviations used are: VH, heavy chain variable domain; LDA, ligation during amplification protocol; GdmCl, guanidinium ch

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1074/jbc.m806889200

Cites

56 of 56 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 56 references

Cited by

See all 572

Metadata

Authors
Vincke, C., Loris, R., Saerens, D., Martinez-Rodriguez, S., Muyldermans, S., & Conrath, K.
Venue
Journal of Biological Chemistry
Publisher
Elsevier BV
Published
2009-01
Volume
284
Issue
5
Pages
3273-3284
ISSN
0021-9258 (ISSN-L)
OpenAlex
W2053319140
Cited by
572
References
56
FWCI
9.56
Type
journal article
Language
en
Open access
hybrid

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: General Strategy to Humanize a Camelid Single-domain Antibody and Identification of a Universal Humanized Nanobody Scaffold. https://app.cochat.ai/papers/10.1074/jbc.m806889200
The paper
Vincke, C., Loris, R., Saerens, D., Martinez-Rodriguez, S., Muyldermans, S., & Conrath, K. (2009). General Strategy to Humanize a Camelid Single-domain Antibody and Identification of a Universal Humanized Nanobody Scaffold. Journal of Biological Chemistry. https://doi.org/10.1074/jbc.m806889200

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.