| Literature DB >> 35408597 |
Mario S Valdés-Tresanco1, Andrea Molina-Zapata1,2, Alaín González Pose1, Ernesto Moreno1.
Abstract
Single domain antibodies from camelids, or nanobodies, are a unique class of antibody fragments with several advantageous characteristics: small monomeric size, high stability and solubility and easy tailoring for multiple applications. Nanobodies are gaining increasing acceptance as diagnostic tools and promising therapeutic agents in cancer and other diseases. While most nanobodies are obtained from immunized animals of the camelid family, a few synthetic nanobody libraries constructed in recent years have shown the capability of generating high quality nanobodies in terms of affinity and stability. Since this synthetic approach has important advantages over the use of animals, the recent advances are indeed encouraging. Here we review over a dozen synthetic nanobody libraries reported so far and discuss the different approaches followed in their construction and validation, with an emphasis on framework and hypervariable loop design as critical issues defining their potential as high-class nanobody sources.Entities:
Keywords: nanobody; phage display; rational design; ribosome display; synthetic library
Mesh:
Substances:
Year: 2022 PMID: 35408597 PMCID: PMC9000494 DOI: 10.3390/molecules27072198
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Figure 1(A) Articles per-year based on a “nanobody” search in PubMed. (B) Differences between traditional antibodies and their derivatives with respect to HCAbs. A classical IgG antibody is made up of 12 immunoglobulin domains, distributed in two different pairs of chains: heavy (in blue) and light (in orange). It is functionally divided into the Fc region and the two Fab fragments, where the recognition region is located. On the other hand, both HCAbs and IgNARs are made up of one pair of a single chain type. Different antibody fragments, such as the Fab or a single-chain fragment (scFv) can be derived or constructed. The latter is formed by the heavy and light variable domains, joined by a linker. In contrast, Nbs or VHH are formed solely by the recognition domain of HCAbs or IgNARs.
Synthetic and Semi-synthetic libraries.
| Name a | Framework Source | CDR Lengths | CDR Randomization Strategy | Library Size/Display | Reference |
|---|---|---|---|---|---|
| NaLi-H1 | Llama-derived | CDR1: 7 | CDR1 and 2: fully randomized. Partially recapitulates the natural diversity, with the inclusion of polar amino acids. | 3 × 109 | [ |
| McMahon et al. | Llama-derived | CDR1: 7 | CDR1 and 2: 4 and 1 highly variable positions, respectively | 1 × 108 | [ |
| Concave | Dromedary-llama | CDR1: 7 | CDR1 and 2: 5 positions were rationally randomized | 9 × 1012 | [ |
| Loop | Dromedary-llama | CDR1: 7 | CDR1 and 2: 5 positions were rationally randomized | 9 × 1012 | [ |
| Convex | Dromedary-derived | CDR1: 7 | CDR1 and 2: 4 positions were rationally randomized | 9 × 1012 | [ |
| CeVICA | Consensus framework and reported natural Nbs: A310 and GFP-binding nanobody | CDR1: 7 | CDRs: All positions were fully randomized, including cysteine | 3.68 × 1011 | [ |
| Yan et al. | cAbBCII10 | CDR3: 16 | CDR3: fully randomized | 1.65 × 109 | [ |
| Alp_LowDiv, Hum_LowDiv, | Alpaca-derived and partially humanized | CDR1: 8 * | CDR1 and 2: All (for Alp_HighDiv, Hum_HighDiv) or selected (for Alp_LowDiv, Hum_LowDiv) positions were randomized | 1.2 × 109, 1.5 × 109, 0.9 × 109, 1.1 × 109 | [ |
| Zhao et al. | GFP-binding nanobody (cAbGFP4) | CDR1: 9 * | All CDRs were fully randomized | ~1 × 106 | [ |
| Wagner et al. | dromedary-derived (3K1K) | CDR1: 9 | CDR2 and 3: Randomization of selected positions recapitulating natural diversity and enriching with amino acids of the same nature | 9 × 109 | [ |
| Chi et al. | cAbBCII10-derived | CDR1: 8 | All CDRs were fully randomized | 1.2 × 1010 | [ |
| Ferrari et al. | Llama-derived | CDR1: 9 * | CDRs: All positions were randomized recapitulating the natural diversity and excluding cysteine | ~1 × 1012 | [ |
| Stefan et al. | NaLi-H1 framework derived | CDR3: 9, 12, 15 | All CDRs were fully randomized | 3.18 × 1010 | [ |
| Wei et al. | cAbBCII10 | CDR1: 8 | CDR1 and 2: Partially randomized | 1 × 1012 | [ |
| Liu et al. | SPSL1 naïve library | CDR3: 13, 16, 18 | CDR3: fully randomized | 1 × 109 | [ |
| Könning et al. | naïve bamboo shark scaffolds | CDR3: 12, 14, 16, 18 | CDR3: fully randomized | 3 × 109 | [ |
a Library name or authors; * Not explicitly defined in the article.
Figure 2Strategy and desired physicochemical characteristics for the generation of synthetic libraries. The design and construction of a synthetic library comprise two main factors: the framework and the CDRs. A previously reported universal or Nb-derived framework can be used for a new library. Alternatively, a new framework can be generated from a consensus sequence derived from natural repertoires. Similarly, the design of CDRs can be carried out in a rationalized way, considering the natural diversity in natural repertoires, or be generated in a partially or completely randomized way. While framework selection is more focused on stability, CDR design focuses more on variability. In both cases, the listed characteristics should be considered to obtain a robust and functional synthetic library.
Antigens employed to validate the functionality of synthetic libraries.
| Library | Antigen | Antigen Features | Pannings | KD (M) | Ref. |
|---|---|---|---|---|---|
| NaLi-H1 | EGFP | Soluble protein | 2–4 | 1.6 × 10−10–4 × 10−9 | [ |
| McMahon et al. | HSA | Soluble protein | 4 | 44 × 10−9–430 × 10−9 | [ |
| Concave, loop, and convex | MBP | Soluble protein | 3 | 4.94 × 10−10–2.5 × 10−6 | [ |
| CeVICA | EGFP | Soluble protein | 3 | 2.18 × 10−9 a | [ |
a After in vitro affinity maturation.