Evidence map›Paper›PMID 35676418›Full record

ArticleCommunications biology2022

A streamlined strain engineering workflow with genome-wide screening detects enhanced protein secretion in Komagataella phaffii.

Yoichiro Ito, Misa Ishigami, Goro Terai, Yasuyuki Nakamura, Noriko Hashiba, Teruyuki Nishi, Hikaru Nakazawa, Tomohisa Hasunuma, Kiyoshi Asai, Mitsuo Umetsu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 16 citations in OpenAlex.

  1. Review
  2. Engineering small peptide secretion inFrontiers in bioengineering and biotechnology · 2026
    Article
  3. Article
  4. Review
  5. Article
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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

12 authors at 6 institutions in 2 countries.

Yoichiro ItoEngineering Biology Research Center, Kobe University, Kobe, Japan.
Misa IshigamiTechnology Research Association of Highly Efficient Gene Design (TRAHED), Kobe, Japan.
Goro TeraiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Chiba, Japan.
Yasuyuki NakamuraEngineering Biology Research Center, Kobe University, Kobe, Japan.ORCID 0000-0002-0093-3754
Noriko HashibaTechnology Research Association of Highly Efficient Gene Design (TRAHED), Kobe, Japan.
Teruyuki NishiGraduate School of Science, Technology and Innovation, Kobe University, Kobe, Japan.
Hikaru NakazawaDepartment of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Sendai, Japan.
Tomohisa HasunumaEngineering Biology Research Center, Kobe University, Kobe, Japan.ORCID 0000-0002-8382-2362
Kiyoshi AsaiDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, University of Tokyo, Chiba, Japan.
Mitsuo UmetsuDepartment of Biomolecular Engineering, Graduate School of Engineering, Tohoku University, Sendai, Japan.
Jun IshiiEngineering Biology Research Center, Kobe University, Kobe, Japan. junjun@port.kobe-u.ac.jp.ORCID 0000-0003-2568-515X
Akihiko KondoEngineering Biology Research Center, Kobe University, Kobe, Japan. akondo@kobe-u.ac.jp.ORCID 0000-0003-1527-5288
Kobe University · JPPhotonics Electronics Technology Research Association · JPThe University of Tokyo · JPTohoku University · JPKaneka (United States) · USKobe Design University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Expression of secreted recombinant proteins burdens the protein secretion machinery, limiting production. Here, we describe an approach to improving protein production by the non-conventional yeast Komagataella phaffii comprised of genome-wide screening for effective gene disruptions, combining them in a single strain, and recovering growth reduction by adaptive evolution. For the screen, we designed a multiwell-formatted, streamlined workflow to high-throughput assay of secretion of a single-chain small antibody, which is cumbersome to detect but serves as a good model of proteins that are difficult to secrete. Using the consolidated screening system, we evaluated >19,000 mutant strains from a mutant library prepared by a modified random gene-disruption method, and identified six factors for which disruption led to increased antibody production. We then combined the disruptions, up to quadruple gene knockouts, which appeared to contribute independently, in a single strain and observed an additive effect. Target protein and promoter were basically interchangeable for the effects of knockout genes screened. We finally used adaptive evolution to recover reduced cell growth by multiple gene knockouts and examine the possibility for further enhancing protein secretion. Our successful, three-part approach holds promise as a method for improving protein production by non-conventional microorganisms.

Indexed as

SaccharomycetalesGene Knockout TechniquesRecombinant ProteinsWorkflowRecombinant Proteins

Identifiers

PMID35676418
PMCPMC9177720
OpenAlexW4282940655

What OpenQuestion holds

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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.