Evidence map›Paper›PMID 29601964›Full record

ArticleProtein expression and purification2018

A systematic analysis of the expression of the anti-HIV VRC01 antibody in Pichia pastoris through signal peptide optimization.

Rochelle Aw, Paul F McKay, Robin J Shattock, Karen M Polizzi

Open access · hybridAbstract read
In one paragraph

Article in Protein expression and purification, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Bioengineering (Basel, Switzerland) · 2021
    Review
  8. Article
  9. Article
  10. Review
  11. Improved Production of Xylanase inFrontiers in bioengineering and biotechnology · 2021
    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 at 1 institution in 1 country.

Rochelle AwDepartment of Life Sciences, Imperial College London, London, SW7 2AZ, UK; Centre for Synthetic Biology and Innovation, Imperial College London, SW7 2AZ, UK.
Paul F McKayDepartment of Infectious Diseases, Imperial College London, London, W2 1PG, UK.
Robin J ShattockDepartment of Infectious Diseases, Imperial College London, London, W2 1PG, UK.
Karen M PolizziDepartment of Life Sciences, Imperial College London, London, SW7 2AZ, UK; Centre for Synthetic Biology and Innovation, Imperial College London, SW7 2AZ, UK. Electronic address: k.polizzi@imperial.ac.uk.
Imperial College London · GB

Funding

Wellcome Trust
6 · The paper itself

Abstract

Pichia pastoris (Komagataella phaffi) has been used for recombinant protein production for over 30 years with over 5000 proteins reported to date. However, yields of antibody are generally low. We have evaluated the effect of secretion signal peptides on the production of a broadly neutralizing antibody (VRC01) to increase yield. Eleven different signal peptides, including the murine IgG1 signal peptide, were combinatorially evaluated for their effect on antibody titer. Strains using different combinations of signal peptides were identified that secreted approximately 2-7 fold higher levels of VRC01 than the previous best secretor, with the highest yield of 6.50 mg L

Indexed as

AnimalsGene ExpressionGenetic VectorsHIV AntibodiesImmunoglobulin GMicePichiaProtein ConformationProtein Sorting SignalsRecombinant ProteinsHIV AntibodiesImmunoglobulin GProtein Sorting SignalsRecombinant Proteins2A sequenceBroadly neutralizing antibodyPichia pastoris / Komagataella phaffiSignal peptideVRC01

Identifiers

PMID29601964
PMCPMC5982643
OpenAlexW2795039415

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.