Evidence map›Paper›PMID 26631978›Full record

ArticleScientific reports2015

Optimizing antibody expression by using the naturally occurring framework diversity in a live bacterial antibody display system.

T Noelle Lombana, Michael Dillon, Jack Bevers, Christoph Spiess

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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

4 authors.

T Noelle LombanaDepartment of Antibody Engineering, Genentech Research and Early Development, 1 DNA Way, South San Francisco, CA, 94080, USA.
Michael DillonDepartment of Antibody Engineering, Genentech Research and Early Development, 1 DNA Way, South San Francisco, CA, 94080, USA.
Jack BeversDepartment of Antibody Engineering, Genentech Research and Early Development, 1 DNA Way, South San Francisco, CA, 94080, USA.
Christoph SpiessDepartment of Antibody Engineering, Genentech Research and Early Development, 1 DNA Way, South San Francisco, CA, 94080, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid identification of residues that influence antibody expression and thermostability is often needed to move promising therapeutics into the clinic. To establish a method that can assess small expression differences, we developed a Bacterial Antibody Display (BAD) system that overcomes previous limitations, enabling the use of full-length formats for antibody and antigen in a live cell setting. We designed a unique library of individual framework variants using natural diversity introduced by somatic hypermutation, and screened half-antibodies for increased expression using BAD. We successfully identify variants that dramatically improve expression yields and in vitro thermostability of two therapeutically relevant antibodies in E. coli and mammalian cells. While we study antibody expression, bacterial display can now be expanded to examine the processes of protein folding and translocation. Additionally, our natural library design strategy could be applied during antibody humanization and library design for in vitro display methods to maintain expression and formulation stability.

Indexed as

AntibodiesEscherichia coliGene Expression RegulationGenetic VariationInterleukin-13Peptide LibraryProtein EngineeringProtein StabilityReceptor, EphB3Recombinant ProteinsVascular Endothelial Growth Factor AAntibodiesInterleukin-13Peptide LibraryReceptor, EphB3Recombinant ProteinsVascular Endothelial Growth Factor A

Identifiers

PMID26631978
PMCPMC4668361

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.