Evidence map›Paper›PMID 36642775›Full record

ArticleFolia microbiologica2023

Secretome of Paenibacillus sp. S-12 provides an insight about its survival and possible pathogenicity.

Kiran Kumari, Parva Kumar Sharma, Ying Ma, Rajnish Prakash Singh

Abstract read
PubMed Publisher
In one paragraph

Article in Folia microbiologica, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 100% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 3 institutions in 3 countries.

Kiran KumariDepartment of Bioengineering and Biotechnology, BIT Mesra, Ranchi, Jharkhand, India, Pin-835215.
Parva Kumar SharmaDepartment of Plant Sciences and Landscape Architecture, University of Maryland, College Park, MD, 20742, USA.
Ying MaCollege of Resources and Environment, Southwest University, Chongqing, China.
Rajnish Prakash SinghDepartment of Bioengineering and Biotechnology, BIT Mesra, Ranchi, Jharkhand, India, Pin-835215. manasrajnish2008@gmail.com.ORCID http://orcid.org/0000-0001-9559-1234
Birla Institute of Technology, Mesra · INSouthwest University · CNUniversity of Maryland, College Park · US

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/RLF-2020-21
6 · The paper itself

Abstract

Our aim in this study was to characterize and investigate the secretome of Paenibacillus sp. S-12 by nanoLC-MS/MS tool-based analysis of trypsin digested culture supernatant proteins. Using a bioinformatics and combined approach of mass spectrometry, we identified 657 proteins in the secretome. Bioinformatic tools such as PREDLIPO, SecretomeP 2.0, SignalP 4.1, and PSORTb were used for the subcellular localization and categorization of secretome on basis of signal peptides. Among the identified proteins, more than 25% of the secretome proteins were associated with virulence proteins including flagellar, adherence, and immune modulators. Gene ontology analysis using Blast2GO tools categorized 60 proteins of the secretome into biological processes, cellular components, and molecular functions. KEGG pathway analysis identified the enzymes or proteins involved in various biosynthesis and degradation pathways. Functional analysis of secretomes reveals a large number of proteins involved in the uptake and exchange of nutrients, colonization, and chemotaxis. A good number of proteins were involved in survival and defense mechanism against oxidative stress, the production of toxins and antimicrobial compounds. The present study is the first report of the in-depth protein profiling of Paenibacillus bacterium. In summary, the current findings of Paenibacillus sp. S-12 secretome provide basic information to understand its survival and the possible pathogenic mechanism.

Indexed as

PaenibacillusSecretomeBacterial ProteinsTandem Mass SpectrometryVirulenceVirulence FactorsBacterial ProteinsVirulence FactorsPaenibacillusPathogenicityProteinsSecretomeVirulence

Identifiers

PMID36642775
OpenAlexW4316363399

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.