Evidence map›Paper›PMID 26903976›Full record

ArticleFrontiers in microbiology2016

Proteomic Profiling of Bifidobacterium bifidum S17 Cultivated Under In Vitro Conditions.

Xiao Wei, Simiao Wang, Xiangna Zhao, Xuesong Wang, Huan Li, Weishi Lin, Jing Lu, Daria Zhurina, Boxing Li, Christian U Riedel and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.0field-weighted citation impact, top 10% 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

8 citing papers in PubMed, 15 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

12 authors at 2 institutions in 2 countries.

Xiao WeiInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Simiao WangInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Xiangna ZhaoInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Xuesong WangInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Huan LiInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Weishi LinInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Jing LuInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Daria ZhurinaInstitute of Microbiology and Biotechnology, University of Ulm Ulm, Germany.
Boxing LiInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Christian U RiedelInstitute of Microbiology and Biotechnology, University of Ulm Ulm, Germany.
Yansong SunInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Jing YuanInstitute of Disease Control and Prevention, Academy of Military Medical Sciences Beijing, China.
Academy of Military Medical Sciences · CNUniversität Ulm · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bifidobacteria are frequently used in probiotic food and dairy products. Bifidobacterium bifidum S17 is a promising probiotic candidate strain that displays strong adhesion to intestinal epithelial cells and elicits potent anti-inflammatory capacity both in vitro and in murine models of colitis. The recently sequenced genome of B. bifidum S17 has a size of about 2.2 Mb and encodes 1,782 predicted protein-coding genes. In the present study, a comprehensive proteomic profiling was carried out to identify and characterize proteins expressed by B. bifidum S17. A total of 1148 proteins entries were identified by liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS), representing 64.4% of the predicted proteome. 719 proteins could be assigned to functional categories according to cluster of orthologous groups of proteins (COGs). The COG distribution of the detected proteins highly correlates with that of the complete predicted proteome suggesting a good coverage and representation of the genomic content of B. bifidum S17 by the proteome. COGs that were highly present in the proteome of B. bifidum S17 were Translation, Amino Acid Transport and Metabolism, and Carbohydrate Transport and Metabolism. Complete sets of enzymes for both the bifidus shunt and the Embden-Meyerh of pathway were identified. Further bioinformatic analysis yielded 28 proteins with a predicted extracellular localization including 14 proteins with an LPxTG-motif for cell wall anchoring and two proteins (elongation factor Tu and enolase) with a potential moonlighting function in adhesion. Amongst the predicted extracellular proteins were five of six pilin proteins encoded in the B. bifidum S17 genome as well as several other proteins with a potential role in interaction with host structures. The presented results are the first compilation of a proteomic reference profile for a B. bifidum strain and will facilitate analysis of the molecular mechanisms of physiology, host-interactions and beneficial effects of a potential probiotic strain.

Indexed as

Bifidobacterium bifidumLC-MS/MSmetabolic pathwayspilin proteinsproteomic profiling

Identifiers

PMID26903976
PMCPMC4751264
OpenAlexW2293317907

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.