Evidence map›Paper›PMID 24492299›Full record

ArticlemAbs

In vitro affinity maturation of a natural human antibody overcomes a barrier to in vivo affinity maturation.

Bing Li, Ashley E Fouts, Katharina Stengel, Peng Luan, Michael Dillon, Wei-Ching Liang, Becket Feierbach, Robert F Kelley, Isidro Hötzel

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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Antibody Affinity and Stability Maturation by Error-Prone PCR.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  6. Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Development of Anti-ImmunoTargets and therapy · 2020
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. 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

9 authors at 4 institutions in 1 country.

Bing LiDepartment of Antibody Engineering; Genentech; South San Francisco, CA USA.
Ashley E FoutsDepartment of Infectious Diseases; Genentech; South San Francisco, CA USA.
Katharina StengelDepartment of Structural Biology; Genentech; South San Francisco, CA USA.
Peng LuanDepartment of Antibody Engineering; Genentech; South San Francisco, CA USA.
Michael DillonDepartment of Antibody Engineering; Genentech; South San Francisco, CA USA.
Wei-Ching LiangDepartment of Antibody Engineering; Genentech; South San Francisco, CA USA.
Becket FeierbachDepartment of Infectious Diseases; Genentech; South San Francisco, CA USA.
Robert F KelleyDepartment of Antibody Engineering; Genentech; South San Francisco, CA USA.
Isidro HötzelDepartment of Antibody Engineering; Genentech; South San Francisco, CA USA.
Kaiser Permanente South San Francisco Medical Center · USResearch & Diagnostic Antibodies (United States) · USGlobal Solutions for Infectious Diseases · USGenentech

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibodies isolated from human donors are increasingly being developed for anti-infective therapeutics. These antibodies undergo affinity maturation in vivo, minimizing the need for engineering of therapeutic leads for affinity. However, the affinities required for some therapeutic applications may be higher than the affinities of the leads obtained, requiring further affinity maturation in vitro. To improve the neutralization potency of natural human antibody MSL-109 targeting human cytomegalovirus (CMV), we affinity matured the antibody against the gH/gL glycoprotein complex. A phage display library where most of the six complementary-determining regions (CDRs) were allowed to vary in only one amino acid residue at a time was used to scan for mutations that improve binding affinity. A T55R mutation and multiple mutations in position 53 of the heavy chain were identified that, when present individually or in combination, resulted in higher apparent affinities to gH/gL and improved CMV neutralization potency of Fab fragments expressed in bacterial cells. Three of these mutations in position 53 introduced glycosylation sites in heavy chain CDR 2 (CDR H2) that impaired binding of antibodies expressed in mammalian cells. One high affinity (KD<10 pM) variant was identified that combined the D53N and T55R mutations while avoiding glycosylation of CDR H2. However, all the amino acid substitutions identified by phage display that improved binding affinity without introducing glycosylation sites required between two and four simultaneous nucleotide mutations to avoid glycosylation. These results indicate that the natural human antibody MSL-109 is close to a local affinity optimum. We show that affinity maturation by phage display can be used to identify and bypass barriers to in vivo affinity maturation of antibodies imposed by glycosylation and codon usage. These constraints may be relatively prevalent in human antibodies due to the codon usage and the amino acid sequence encoded by the natural human repertoire.

Indexed as

AnimalsAntibodies, BlockingAntibodies, MonoclonalAntibody AffinityCell Surface Display TechniquesCHO CellsCricetulusCytomegalovirusDNA Mutational AnalysisGlycosylationHumansMutagenesisMutationTransgenesAntibodies, BlockingAntibodies, Monoclonalsevirumabaffinityantibodycodoncytomegalovirusglycosylationmaturationmutagenesisneutralization

Identifiers

PMID24492299
PMCPMC3984332
OpenAlexW2028092943

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.