Evidence map›Paper›PMID 35593235›Full record

ArticlemAbs

Deep mutational engineering of broadly-neutralizing nanobodies accommodating SARS-CoV-1 and 2 antigenic drift.

Adrien Laroche, Maria Lucia Orsini Delgado, Benjamin Chalopin, Philippe Cuniasse, Steven Dubois, Raphaël Sierocki, Fabrice Gallais, Stéphanie Debroas, Laurent Bellanger, Stéphanie Simon and 2 more

Open access · goldAbstract read
In one paragraph

Article in mAbs. 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
1.5field-weighted citation impact, top 16% 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, 17 citations in OpenAlex.

  1. Dual Blockade of LILRB1 and LILRB2 Enhances Antiviral Immune Responses in SIV Infection.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

12 authors at 5 institutions in 2 countries.

Adrien LarocheCEA, INRAE, Medicines and Healthcare Technologies Department, SIMoS, Université Paris-Saclay, Gif-sur-Yvette, France.
Maria Lucia Orsini DelgadoCEA, INRAE, Medicines and Healthcare Technologies Department, SPI, Université Paris-Saclay, Gif-sur-Yvette, France.
Benjamin ChalopinCEA, INRAE, Medicines and Healthcare Technologies Department, SIMoS, Université Paris-Saclay, Gif-sur-Yvette, France.
Philippe CuniasseCNRS, CEA, Institute for Integrative Biology of the Cell (I2BC), Université Paris-Saclay, Gif-sur-Yvette, France.
Steven DuboisCEA, INRAE, Medicines and Healthcare Technologies Department, SIMoS, Université Paris-Saclay, Gif-sur-Yvette, France.
Raphaël SierockiCEA, INRAE, Medicines and Healthcare Technologies Department, SIMoS, Université Paris-Saclay, Gif-sur-Yvette, France.
Fabrice GallaisCEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Université Paris Saclay, Bagnols-sur-Cèze, France.
Stéphanie DebroasCEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Université Paris Saclay, Bagnols-sur-Cèze, France.
Laurent BellangerCEA, INRAE, Département Médicaments et Technologies pour la Santé (DMTS), SPI, Université Paris Saclay, Bagnols-sur-Cèze, France.
Stéphanie SimonCEA, INRAE, Medicines and Healthcare Technologies Department, SPI, Université Paris-Saclay, Gif-sur-Yvette, France.
Bernard MaillèreCEA, INRAE, Medicines and Healthcare Technologies Department, SIMoS, Université Paris-Saclay, Gif-sur-Yvette, France.
Hervé NozachCEA, INRAE, Medicines and Healthcare Technologies Department, SIMoS, Université Paris-Saclay, Gif-sur-Yvette, France.
Commissariat à l'Énergie Atomique et aux Énergies Alternatives · FRCEA Paris-Saclay · FRInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRUniversité Paris-Saclay · FRTechnologies pour la Santé · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we report the molecular engineering of nanobodies that bind with picomolar affinity to both SARS-CoV-1 and SARS-CoV-2 receptor-binding domains (RBD) and are highly neutralizing. We applied deep mutational engineering to VHH72, a nanobody initially specific for SARS-CoV-1 RBD with little cross-reactivity to SARS-CoV-2 antigen. We first identified all the individual VHH substitutions that increase binding to SARS-CoV-2 RBD and then screened highly focused combinatorial libraries to isolate engineered nanobodies with improved properties. The corresponding VHH-Fc molecules show high affinities for SARS-CoV-2 antigens from various emerging variants and SARS-CoV-1, block the interaction between ACE2 and RBD, and neutralize the virus with high efficiency. Its rare specificity across sarbecovirus relies on its peculiar epitope outside the immunodominant regions. The engineered nanobodies share a common motif of three amino acids, which contribute to the broad specificity of recognition. Our results show that deep mutational engineering is a very powerful method, especially to rapidly adapt existing antibodies to new variants of pathogens.

Indexed as

COVID-19Single-Domain AntibodiesAntibodies, NeutralizingAntibodies, ViralAntigenic Drift and ShiftHumansProtein BindingSARS-CoV-2Spike Glycoprotein, CoronavirusAntibodies, NeutralizingAntibodies, ViralSingle-Domain AntibodiesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Antibody engineeringdeep mutational scanningnanobodiesSARS-CoV-2yeast surface display

Identifiers

PMID35593235
PMCPMC9132424
OpenAlexW4280635963

What OpenQuestion holds

Textmetadata
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.