Evidence map›Paper›PMID 26849882›Full record

ArticleMicrobial cell factories2016

Liquid PTVA: a faster and cheaper alternative for generating multi-copy clones in Pichia pastoris.

Rochelle Aw, Karen M Polizzi

Abstract read
In one paragraph

Article in Microbial cell factories, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Recent advances in microbial fermentation for the production of leghemoglobin.World journal of microbiology & biotechnology · 2025
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  7. Microorganisms · 2024
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  10. Article
  11. Development of synthetic biology tools to engineerSynthetic and systems biotechnology · 2021
    Review
  12. Article
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  14. Article
  15. Article
  16. Review
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  18. Article
  19. 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

2 authors.

Rochelle AwDepartment of Life Sciences, Imperial College London, London, SW7 2AZ, UK. r.aw08@imperial.ac.uk.
Karen M PolizziDepartment of Life Sciences, Imperial College London, London, SW7 2AZ, UK. k.polizzi@imperial.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMultiple cognate gene copy clones have often been used in order to increase the yield of recombinant protein expression in the yeast Pichia pastoris. The method of posttransformational vector amplification (PTVA) has allowed for the efficient generation of multi-copy clones in P. pastoris. However, despite its relative ease and success, this process can be expensive and time consuming.

resultsWe have developed a modified version of PTVA, called Liquid PTVA, which allows for faster and cheaper selection of multi-copy clones. Cultures are grown in liquid medium with only a final selection carried out on agar plates, reducing overall antibiotic usage and increasing the speed of clone amplification. In addition, it was established that starting PTVA with a single copy clone resulted in higher copy number strains for both traditional plate PTVA and liquid PTVA. Furthermore, using the Zeocin selection marker in liquid PTVA results in strains with higher growth rates, which could be beneficial for recombinant protein production processes.

conclusionsWe present a methodology for creating multi-copy clones that can be achieved over 12 days instead of the traditional 45 and at approximately half the cost.

Indexed as

Gene DosageTransformation, GeneticBleomycinClone CellsCulture MediaGenetic VectorsGreen Fluorescent ProteinsIndicators and ReagentsPichiaPolymerase Chain ReactionTime FactorsBleomycinCulture MediaGreen Fluorescent ProteinsIndicators and ReagentsZeocin

Identifiers

PMID26849882
PMCPMC4744420

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Registered trials

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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.