Evidence map›Paper›PMID 39095661›Full record

ArticleAMB Express2024

Hansenula polymorpha methanol metabolism genes enhance recombinant protein production in Komagataella phaffi.

Maryam Khalifeh Soltani, Sareh Arjmand, Seyed Omid Ranaei Siadat, Abdolreza Bagheri, Seyed Hassan Marashi

Abstract read
In one paragraph

Article in AMB Express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Maryam Khalifeh SoltaniDepartment of Biotechnology and Plant Breeding, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
Sareh ArjmandProtein Research Center, Shahid Beheshti University, Tehran, Iran.
Seyed Omid Ranaei SiadatProtein Research Center, Shahid Beheshti University, Tehran, Iran. o_ranaei@sbu.ac.ir.
Abdolreza BagheriDepartment of Biotechnology and Plant Breeding, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran. abagheri@um.ac.ir.
Seyed Hassan MarashiDepartment of Biotechnology and Plant Breeding, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recombinant protein production in Komagataella phaffi (K. phaffi), a widely utilized host organism, can be optimized by enhancing the metabolic flux in the central carbon metabolism pathways. The methanol utilization pathway (MUT) during methanol-based growth plays a crucial role in providing precursors and energy for cell growth and development. This study investigated the impact of boosting the methanol dissimilation pathway, a branch of MUT that plays a vital role in detoxifying formaldehyde and providing energy in the form of NADH, in K. phaffi. This was achieved by integrating two orthologous genes from Hansenula polymorpha into the K. phaffi genome: formaldehyde dehydrogenase (HpFLD) and formate dehydrogenase (HpFMDH). The HpFLD and HpFMDH genes were isolated from the Hansenula polymorpha genome and inserted under the regulation of the pAOX1 promoter in the genome of recombinant K. phaffi that already contained a single copy of model protein genes (eGFP or EGII). The expression levels of these model proteins were assessed through protein activity assays and gene expression analysis. The findings revealed that while both orthologous genes positively influenced model protein production, HpFMDH exhibited a more pronounced upregulation in expression compared to HpFLD. Co-expression of both orthologous genes demonstrated synergistic effects, resulting in approximately a twofold increase in the levels of the model proteins detected. This study provides valuable insights into enhancing the production capacity of recombinant proteins in K. phaffi.

Indexed as

Hansenula PolymorphaK. PhaffiMetabolic engineeringMethanol utilization pathwayRecombinant proteins

Identifiers

PMID39095661
PMCPMC11296995

What Socratic holds

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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 Socratic graph.