Evidence map›Paper›PMID 27537181›Full record

ArticlePloS one2016

Transcriptional Regulation of Aerobic Metabolism in Pichia pastoris Fermentation.

Biao Zhang, Baizhi Li, Dai Chen, Jie Zong, Fei Sun, Huixin Qu, Chongyang Liang

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Biao ZhangInstitute of Frontier Medical Science of Jilin University, Changchun 130021, P.R. China.
Baizhi LiInstitute of Frontier Medical Science of Jilin University, Changchun 130021, P.R. China.
Dai ChenNovelBio Bio-Pharm Technology Co., Ltd, Shanghai 200000, P.R. China.
Jie ZongNovelBio Bio-Pharm Technology Co., Ltd, Shanghai 200000, P.R. China.
Fei SunInstitute of Frontier Medical Science of Jilin University, Changchun 130021, P.R. China.
Huixin QuInstitute of Frontier Medical Science of Jilin University, Changchun 130021, P.R. China.
Chongyang LiangInstitute of Frontier Medical Science of Jilin University, Changchun 130021, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this study, we investigated the classical fermentation process in Pichia pastoris based on transcriptomics. We utilized methanol in pichia yeast cell as the focus of our study, based on two key steps: limiting carbon source replacement (from glycerol to methonal) and fermentative production of exogenous proteins. In the former, the core differential genes in co-expression net point to initiation of aerobic metabolism and generation of peroxisome. The transmission electron microscope (TEM) results showed that yeast gradually adapted methanol induction to increased cell volume, and decreased density, via large number of peroxisomes. In the fermentative production of exogenous proteins, the Gene Ontology (GO) mapping results show that PAS_chr2-1_0582 played a vital role in regulating aerobic metabolic drift. In order to confirm the above results, we disrupted PAS_chr2-1_0582 by homologous recombination. Alcohol consumption was equivalent to one fifth of the normal control, and fewer peroxisomes were observed in Δ0582 strain following methanol induction. In this study we determined the important core genes and GO terms regulating aerobic metabolic drift in Pichia, as well as developing new perspectives for the continued development within this field.

Indexed as

AerobiosisCell SizeDNA, FungalFermentationGene Expression ProfilingGene Expression RegulationMethanolMicroscopy, Electron, TransmissionOligonucleotide Array Sequence AnalysisPeroxisomesPichiaRNA, FungalDNA, FungalMethanolRNA, Fungal

Identifiers

PMID27537181
PMCPMC4990298

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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.