Evidence map›Paper›PMID 32299823›Full record

ArticleG3 (Bethesda, Md.)2020

Genetic Selection Based on a Ste6

Shu Ning Chan, Rupali Prasad, Paul Matsudaira

Abstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Shu Ning ChanTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604.
Rupali PrasadTemasek Life Sciences Laboratory, 1 Research Link, National University of Singapore, Singapore 117604.ORCID 0000-0002-2251-6505
Paul MatsudairaNational University of Singapore Graduate School for Integrative Sciences and Engineering (NGS), University Hall, Tan Chin Tuan Wing, Level 04, #04-02, 21 Lower Kent Ridge, Singapore 119077, and.ORCID 0000-0002-8399-3276

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein quality control in the cytosol (CytoQC) is an important cellular pathway consisting of a network of components which monitor the folding of cytosolic proteins and ensure the efficient removal of aberrant ones. Our understanding of CytoQC mechanisms is limited in part by the ability of current approaches to identify new genes in the pathway. In this study, we developed a CytoQC reporter substrate, Ste6*C-HA-Ura3, for a new genetic selection of spontaneous CytoQC mutations in the yeast

Indexed as

Saccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsAllelesCytosolSelection, GeneticUbiquitin-Protein LigasesSaccharomyces cerevisiae ProteinsUbiquitin-Protein LigasesUBR1 protein, S cerevisiaeURA3 protein, S cerevisiaecytosolic protein quality controlgenetic selectionspontaneous mutations

Identifiers

PMID32299823
PMCPMC7263692

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.