Evidence map›Paper›PMID 40340930›Full record

ReviewJournal of biological engineering2025

High-throughput strategies for monoclonal antibody screening: advances and challenges.

Xiao-Dong Wang, Bao-Ying Ma, Shi-Ying Lai, Xiang-Jing Cai, Yan-Guang Cong, Jun-Fa Xu, Peng-Fei Zhang

Abstract readReview
In one paragraph

Review in Journal of biological engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Revised Adaptive Immune Receptor Data in the Immune Epitope Database.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
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

7 authors.

Xiao-Dong Wang *Dongguan Key Laboratory of Pathogenesis and Experimental Diagnosis of Infectious Diseases, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China.
Bao-Ying Ma *Dongguan Key Laboratory of Pathogenesis and Experimental Diagnosis of Infectious Diseases, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China.
Shi-Ying LaiDongguan Key Laboratory of Pathogenesis and Experimental Diagnosis of Infectious Diseases, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China.
Xiang-Jing CaiDongguan Key Laboratory of Pathogenesis and Experimental Diagnosis of Infectious Diseases, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China.
Yan-Guang CongDongguan Key Laboratory of Pathogenesis and Experimental Diagnosis of Infectious Diseases, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China. ygcong@hotmail.com.
Jun-Fa XuDongguan Key Laboratory of Pathogenesis and Experimental Diagnosis of Infectious Diseases, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China. xujunfa@gdmu.edu.cn.
Peng-Fei ZhangDongguan Key Laboratory of Pathogenesis and Experimental Diagnosis of Infectious Diseases, The First Dongguan Affiliated Hospital, Guangdong Medical University, Dongguan, China. zhangpengfei@gdmu.edu.cn.

Funding

Basic and Applied Basic Research Foundation of Guangdong Province 2022A1515010525Discipline construction project of Guangdong Medical University 4SG24228G, 4SG23030G, 4SG24025G, 4SG24044G, 4SG24129G, 4SG23143G and 4SG23077GGuangdong Medical Research Foundation A2024616Innovation Team Project of Universities in Guangdong Province 2022KCXTD010National Natural Science Foundation of China 82270013, 81870016Project of Songshan Lake Innovation Center of Medicine & Engineering of Guangdong Medical University 4SG22317PScience and Technology Project of Dongguan 20211800905072Talent Development Foundation of The First Dongguan Affiliated Hospital of Guangdong Medical University PU2023003
6 · The paper itself

Abstract

Antibodies characterized by high affinity and specificity, developed through high-throughput screening and rapid preparation, are crucial to contemporary biomedical industry. Traditional antibody preparation via the hybridoma strategy faces challenges like low efficiency, long manufacturing cycles, batch variability and labor intensity. Advances in molecular biology and gene editing technologies offer revolutionary improvements in antibody production. New high-throughput technologies like antibody library display, single B cell antibody technologies, and single-cell sequencing have significantly cut costs and boosted the efficiency of antibody development. These innovations accelerate commercial applications of antibodies, meeting the biopharmaceutical industry's evolving demands. This review explores recent advancements in high-throughput development of antibody, highlighting their potential advantages over traditional methods and their promising future.

Indexed as

Antibody preparationDisplay system for antibody librariesHigh-throughputSingle B cell antibodySingle-cell sequencing

Identifiers

PMID40340930
PMCPMC12063422

What OpenQuestion holds

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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.