Evidence map›Paper›PMID 35761267›Full record

ArticleMicrobial cell factories2022

Characterization of a new L-carnosine synthase mined from deep-sea sediment metagenome.

Jiajia She, Lihong Fu, Xiaowei Zheng, Jing Li, Limin Wang, Bo Yu, Jiansong Ju

Open access · goldAbstract read
In one paragraph

Article in Microbial cell factories, 2022. 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
0.9field-weighted citation impact, top 26% 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, 9 citations in OpenAlex.

  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

7 authors at 3 institutions in 1 country.

Jiajia SheCollege of Life Science, Hebei Normal University, Shijiazhuang, 050024, China.
Lihong FuCollege of Life Science, Hebei Normal University, Shijiazhuang, 050024, China.
Xiaowei ZhengInstitute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Jing LiCollege of Life Science, Hebei Normal University, Shijiazhuang, 050024, China.
Limin WangInstitute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Bo YuInstitute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China.
Jiansong JuCollege of Life Science, Hebei Normal University, Shijiazhuang, 050024, China. jujiansong@126.com.
Chinese Academy of Sciences · CNHebei Normal University · CNInstitute of Microbiology · CN

Funding

the National Natural Science Foundation of China 31971204the Natural Science Foundation of Hebei Province C2020205004
6 · The paper itself

Abstract

L-Carnosine is a natural biologically active dipeptide with critical physiological functions, such as antioxidant, antiglycation, and cytoplasmic buffering properties. Direct enzymatic synthesis is a promising way for L-carnosine production. In this study, a new aminopeptidase (gene_236976) with synthetic activity toward L-carnosine was identified by a metagenome mining approach from deep-sea sediment and functionally expressed in Escherichia coli. The enzyme shared a low identity of 14.3% with reported L-carnosine dipeptidase (SmPepD) from Serratia marcescens. β-Alanine methyl ester was proven to be the best substrate for the synthesis, and no ATP was needed for the enzymatic reaction. The enzyme activity was increased by structure-guided rational design. Only the mutant of G310 site gave positive results, and G310A mutant showed the best performance among the site-direct saturation mutagenesis, indicating that the additional CH

Indexed as

CarnosineAntioxidantsDipeptidesHistidineMetagenomeAntioxidantsCarnosineDipeptidesHistidineDeep-sea metagenomeGene miningL-carnosineβ-aminopeptidase

Identifiers

PMID35761267
PMCPMC9235088
OpenAlexW4283587621

What OpenQuestion 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 OpenQuestion graph.