Evidence map›Paper›PMID 36620045›Full record

ArticleFrontiers in microbiology2022

Comparative transcriptomic analysis-based identification of the regulation of foreign proteins with different stabilities expressed in

Tingting Niu, Yi Cui, Xu Shan, Shuzhen Qin, Xuejie Zhou, Rui Wang, Alan Chang, Nan Ma, Jingjing Jing, Jianwei He

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 87% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

10 authors at 4 institutions in 1 country.

Tingting NiuSchool of Life Sciences, Liaoning University, Shenyang, China.
Yi CuiSchool of Life Sciences, Liaoning University, Shenyang, China.
Xu ShanSchool of Life Sciences, Liaoning University, Shenyang, China.
Shuzhen QinSchool of Life Sciences, Liaoning University, Shenyang, China.
Xuejie ZhouSchool of Life Sciences, Liaoning University, Shenyang, China.
Rui WangSchool of Life Sciences, Liaoning University, Shenyang, China.
Alan ChangCollege of Life and Environmental Sciences, Wenzhou University, Wenzhou, China.
Nan MaChina Academy of Transportation Sciences, Beijing, China.
Jingjing JingTumor Etiology and Screening Department of Cancer Institute and General Surgery, The First Hospital of China Medical University, Shenyang, China.
Jianwei HeSchool of Life Sciences, Liaoning University, Shenyang, China.
Liaoning University · CNChina Academy of Transportation Sciences · CNChina Medical University · CNWenzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The industrial yeast Methods: Wild-type cC, I66Q and ΔW were each overexpressed in Results and discussion: The coexpression of PDI was able to increase the extracellular levels of both wild-type cC and the two mutants, indicating that overexpression of PDI could prevent the misfolding of unstable proteins or promote the degradation of the misfolded proteins to some extent. For Conclusion: These findings should shed new light on our understanding of the regulatory mechanism in yeast cells that responds to intracellular folding stress, providing valuable information for the development of a convenient platform that could improve the efficiency of heterologous protein expression in

Indexed as

amyloid diseasebiofuelcystatinpichia pastoristranscriptomic

Identifiers

PMID36620045
PMCPMC9814716
OpenAlexW4312075856

What Socratic holds

Textmetadata
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 Socratic graph.