Evidence map›Paper›PMID 38350843›Full record

ArticleBMC infectious diseases2024

Single-domain antibodies against SARS-CoV-2 RBD from a two-stage phage screening of universal and focused synthetic libraries.

Fangfang Chen, Zhihong Liu, Wei Kang, Fan Jiang, Xixiao Yang, Feng Yin, Ziyuan Zhou, Zigang Li

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Fangfang Chen *Department of Pharmacy, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Zhihong Liu *Pingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, China.
Wei Kang *NanoAI Biotech Co., Ltd, Pingshan District, Shenzhen, China.
Fan JiangNanoAI Biotech Co., Ltd, Pingshan District, Shenzhen, China. jiangfan@pku.edu.cn.
Xixiao YangDepartment of Pharmacy, Shenzhen Hospital, Southern Medical University, Shenzhen, China.
Feng YinPingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, China.
Ziyuan ZhouNational Cancer Center, National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Shenzhen, China.
Zigang LiPingshan Translational Medicine Center, Shenzhen Bay Laboratory, Shenzhen, China. lizg@pkusz.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2019A1515110766Chinese Academy of Medical Sciences Cancer Hospital Shenzhen Hospital foundation E010221005, CFA202201006Guangdong Medical Science and Technology Research Fund A2020280National Natural Science Foundation of China 22107045
6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) is an evolving global pandemic, and nanobodies, as well as other single-domain antibodies (sdAbs), have been recognized as a potential diagnostic and therapeutic tool for infectious diseases. High-throughput screening techniques such as phage display have been developed as an alternative to in vivo immunization for the discovery of antibody-like target-specific binders.

methodsWe designed and constructed a highly diverse synthetic phage library sdAb-U (single-domain Antibody - Universal library ) based on a human framework. The SARS-CoV-2 receptor-binding domain (RBD) was expressed and purified. The universal library sdAb-U was panned against the RBD protein target for two rounds, followed by monoclonal phage ELISA (enzyme-linked immunosorbent assay) to identify RBD-specific binders (the first stage). High-affinity binders were sequenced and the obtained CDR1 and CDR2 sequences were combined with fully randomized CDR3 to construct a targeted (focused) phage library sdAb-RBD, for subsequent second-stage phage panning (also two rounds) and screening. Then, sequences with high single-to-background ratios in phage ELISA were selected for expression. The binding affinities of sdAbs to RBD were measured by an ELISA-based method. In addition, we conducted competition ELISA (using ACE2 ectodomain S19-D615) and SARS-CoV-2 pseudovirus neutralization assays for the high-affinity RBD-binding sdAb39.

resultsSignificant enrichments were observed in both the first-stage (universal library) and the second-stage (focused library) phage panning. Five RBD-specific binders were identified in the first stage with high ELISA signal-to-background ratios. In the second stage, we observed a much higher possibility of finding RBD-specific clones in phage ELISA. Among 45 selected RBD-positive sequences, we found eight sdAbs can be well expressed, and five of them show high-affinity to RBD (EC

conclusionOverall, this two-stage strategy of synthetic phage display libraries enables rapid selection of SARS-CoV-2 RBD sdAb with potential therapeutic activity, and this two-stage strategy can potentially be used for rapid discovery of sdAbs against other targets.

Indexed as

BacteriophagesCOVID-19Single-Domain AntibodiesAngiotensin-Converting Enzyme 2Antibodies, NeutralizingAntibodies, ViralHumansSARS-CoV-2Angiotensin-Converting Enzyme 2Antibodies, NeutralizingAntibodies, ViralSingle-Domain AntibodiesPhage displayRBDSARS-CoV-2Single-domain antibodySynthetic library

Identifiers

PMID38350843
PMCPMC10865538

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.