Evidence map›Paper›PMID 27374636›Full record

ReviewNature reviews. Immunology2016

Combinatorial antibody libraries: new advances, new immunological insights.

Richard A Lerner

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Immunology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

  1. Technologies for Monoclonal Antibody Discovery and Development.International journal of molecular sciences · 2025
    Review
  2. Scaling DNA engineering.Trends in biotechnology · 2025
    Review
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  5. Review
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  8. Monoclonal Antibody Generation Using Single B Cell Screening for Treating Infectious Diseases.BioDrugs : clinical immunotherapeutics, biopharmaceuticals and gene therapy · 2024
    Review
  9. Article
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  12. Review
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  18. Review
  19. Review
  20. Article

1 more citing papers are in PubMed but not listed here.

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

1 author.

Richard A LernerDepartment of Cell and Molecular Biology, The Scripps Research Institute, La Jolla, California 92037, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immunochemists have become quite proficient in engineering existing antibody molecules to control their pharmacological properties. However, in terms of generating new antibodies, the combinatorial antibody library has become a central feature of modern immunochemistry. These libraries are essentially an immune system in a test tube and enable the selection of antibodies without the constraints of whole animal or cell-based systems. This Review provides an overview of how antibody libraries are constructed and discusses what can be learnt from these synthetic systems. In particular, the Review focuses on new biological insights from antibody libraries - such as the concept of 'SOS antibodies' - and the growing use of intracellular antibodies to perturb cellular functions.

Indexed as

Gene LibraryProtein EngineeringAnimalsAntibodiesGenetic VectorsHumansImmunoglobulin FragmentsSynthetic BiologyAntibodiesImmunoglobulin Fragments

Identifiers

PMID27374636

What OpenQuestion holds

Textmetadata
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.