Evidence map›Paper›PMID 28942564›Full record

ArticleExtremophiles : life under extreme conditions2017

Expression and characterization of a new heat-stable endo-type alginate lyase from deep-sea bacterium Flammeovirga sp. NJ-04.

Benwei Zhu, Fang Ni, Yun Sun, Zhong Yao

Abstract read
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In one paragraph

Article in Extremophiles : life under extreme conditions, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.4field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 29 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

4 authors at 1 institution in 1 country.

Benwei ZhuCollege of Food Sciences and Light Industry, Nanjing Tech University, No. 30 Puzhunan Road, Nanjing, 211816, China. zhubenwei@njtech.edu.cn.
Fang NiCollege of Food Sciences and Light Industry, Nanjing Tech University, No. 30 Puzhunan Road, Nanjing, 211816, China.
Yun SunCollege of Food Sciences and Light Industry, Nanjing Tech University, No. 30 Puzhunan Road, Nanjing, 211816, China.
Zhong YaoCollege of Food Sciences and Light Industry, Nanjing Tech University, No. 30 Puzhunan Road, Nanjing, 211816, China.
Nanjing Tech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alginate lyases play an essential role in the production of oligosaccharides by degrading alginate polysaccharide. Although many alginate lyases from various microorganisms have been characterized, reports on alginate lyases with special characteristics and commercial potential are still rather rare. In this study, a new alginate lyase, FsAlgA, was cloned from the deep-sea marine bacterium Flammeovirga sp. NJ-04. The recombinant enzyme was purified on Ni-NTA sepharose and then characterized in detail. It exhibited the highest activity (3343.7 U/mg) at pH 7.0 and 50 °C. Notably, the FsAlgA retained more than 80% of its maximum activity after incubation at 50 °C for 30 min, suggesting that FsAlgA was a heat-stable alginate lyase. Additionally, FsAlgA possessed broad substrate specificity, showing high activities toward both poly β-D-mannuronate (polyM) and poly α-L-guluronate (polyG). Furthermore, the K

Indexed as

Protein DenaturationAlginatesBacterial ProteinsBacteroidetesEnzyme StabilityExtreme EnvironmentsGlucuronic AcidHexuronic AcidsPolysaccharide-LyasesPolysaccharides, BacterialSeawaterSubstrate SpecificityAlginatesBacterial ProteinsGlucuronic AcidHexuronic Acidspoly(beta-D-mannuronate) lyasepolyguluronic acidPolysaccharide-LyasesPolysaccharides, BacterialAlginate lyaseDeep-sea bacteriumFlammeovirga sp. NJ-04Heat-stableOligosaccharides

Identifiers

PMID28942564
OpenAlexW2757474550

What OpenQuestion holds

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Registered trials

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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.