Evidence map›Paper›PMID 28656551›Full record

ArticleApplied biochemistry and biotechnology2018

Improvement of Lead Tolerance of Saccharomyces cerevisiae by Random Mutagenesis of Transcription Regulator SPT3.

Liying Zhu, Shan Gao, Hongman Zhang, He Huang, Ling Jiang

Abstract read
PubMed Publisher
In one paragraph

Article in Applied biochemistry and biotechnology, 2018. 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
0.3field-weighted citation impact, top 40% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. Review
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 at 1 institution in 1 country.

Liying ZhuCollege of Chemical and Molecular Engineering, Nanjing Tech University, Nanjing, 210009, People's Republic of China. zlyhappy@njtech.edu.cn.
Shan GaoCollege of Chemical and Molecular Engineering, Nanjing Tech University, Nanjing, 210009, People's Republic of China.
Hongman ZhangCollege of Chemical and Molecular Engineering, Nanjing Tech University, Nanjing, 210009, People's Republic of China.
He HuangCollege of Pharmaceutical Sciences, Nanjing Tech University, Nanjing, 210009, People's Republic of China.
Ling JiangCollege of Food Science and Light Industry, Nanjing Tech University, Nanjing, 210009, People's Republic of China. jiangling@njtech.edu.cn.
Nanjing Tech University · CN

Funding

the Environmental Protection Project in Jiangsu Province 2015053the National Science Foundation for Young Scholars of China 21506101the National Science Foundation of China U1603112the Six Talent Peaks Project in Jiangsu Province 2015-JY-009the State Key Laboratory of Bio-organic and Natural Products Chemistry, CAS SKLBNPC15429
6 · The paper itself

Abstract

Bioremediation of heavy metal pollution with biomaterials such as bacteria and fungi usually suffer from limitations because of microbial sensitivity to high concentration of heavy metals. Herein, we adopted a novel random mutagenesis technique called RAISE to manipulate the transcription regulator SPT3 of Saccharomyces cerevisiae to improve cell lead tolerance. The best strain Mutant VI was selected from the random mutagenesis libraries on account of the growth performance, with higher specific growth rate than the control strain (0.068 vs. 0.040 h

Indexed as

Adaptation, PhysiologicalGene Expression ProfilingGenes, FungalLeadMutagenesisMutationReal-Time Polymerase Chain ReactionSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsSequence Analysis, RNATranscription FactorsTranscription, GeneticLeadSaccharomyces cerevisiae ProteinsSPT3 protein, S cerevisiaeTranscription FactorsLead toleranceRAISE methodRNA-seqSaccharomyces cerevisiaeSPT3

Identifiers

PMID28656551
OpenAlexW2726919953

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.