Evidence map›Paper›PMID 24898179›Full record

ArticleWorld journal of microbiology & biotechnology2014

Effect of earlier unfolded protein response and efficient protein disposal system on cellulase production in Rut C30.

Guokun Wang, Dongyuan Zhang, Shulin Chen

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In one paragraph

Article in World journal of microbiology & biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 22 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Guokun WangTianjin Key Laboratory of Industrial Biosystem and Bioprocess Engineering, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, Tianjin, 300308, People's Republic of China, wang_gk@tib.cas.cn.
Dongyuan Zhang
Shulin Chen
Tianjin Institute of Industrial Biotechnology · CNChinese Academy of Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Trichoderma reesei (T. reesei) has been widely used in production of cellulolytic enzymes and heterologous proteins because of its high secretion capacity. The lack of knowledge on protein secretion mechanisms, however, still hinders rational improvement on cellulase production. The transcript levels of cellulases and components involved in post-transcriptional procedures were compared in this study between two mutants, QM9414 and Rut C30 for evaluating the effects of modification and secretion upon cellulase production. The results showed that cellulase induction by cellulose drastically up-regulated expressions of the sensor of unfolded protein, chaperone and folding-assisted enzymes in endoplasmic reticulum and resulted in unfolded protein response (UPR) and low-grade increase in secretory transporters' expression similar to that of chemical treatment. Rut C30 demonstrated earlier and more sustainable expressions of elements involved in UPR and lower amount of cellular retained cellulase compared to QM9414, indicating that Rut C30 had hypercellulolytic property partially for its earlier and enhanced UPR to more efficiently dispose of protein. Modifying post-translational peptides and enhancing protein flux to avoid protein accumulation during cellulase production may be a feasible approach for strain improvement.

Indexed as

Industrial MicrobiologyUnfolded Protein ResponseCellulasesCelluloseFungal ProteinsGene Expression Regulation, FungalRNA, FungalRNA, MessengerTrichodermaCellulasesCelluloseFungal ProteinsRNA, FungalRNA, Messenger

Identifiers

PMID24898179
OpenAlexW2078766276

What OpenQuestion holds

Textmetadata
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.