Evidence map›Paper›PMID 29588455›Full record

ArticleScientific reports2018

Proteomic and bioinformatic pipeline to screen the ligands of S. pneumoniae interacting with human brain microvascular endothelial cells.

Irene Jiménez-Munguía, Lucia Pulzova, Evelina Kanova, Zuzana Tomeckova, Petra Majerova, Katarina Bhide, Lubos Comor, Ivana Sirochmanova, Andrej Kovac, Mangesh Bhide

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.6field-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

15 citing papers in PubMed, 23 citations in OpenAlex.

  1. Review
  2. Article
  3. Inhibition ofMicrobiology (Reading, England) · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. Comprehensive Mapping of the Cell Response toFrontiers in microbiology · 2021
    Article
  8. Article
  9. Pathogens (Basel, Switzerland) · 2020
    Article
  10. Article
  11. Article
  12. Pneumococcal Encounter With the Blood-Brain Barrier Endothelium.Frontiers in cellular and infection microbiology · 2020
    Review
  13. Article
  14. Article
  15. Deciphering the Interactome ofFrontiers in microbiology · 2018
    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

10 authors at 3 institutions in 1 country.

Irene Jiménez-MunguíaLaboratory of Biomedical Microbiology and Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovak Republic.
Lucia PulzovaLaboratory of Biomedical Microbiology and Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovak Republic.
Evelina KanovaLaboratory of Biomedical Microbiology and Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovak Republic.
Zuzana TomeckovaLaboratory of Biomedical Microbiology and Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovak Republic.
Petra MajerovaInstitute of Neuroimmunology of Slovak Academy of Sciences, Bratislava, Slovak Republic.
Katarina BhideLaboratory of Biomedical Microbiology and Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovak Republic.
Lubos ComorLaboratory of Biomedical Microbiology and Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovak Republic.
Ivana SirochmanovaLaboratory of Biomedical Microbiology and Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovak Republic.
Andrej KovacInstitute of Neuroimmunology of Slovak Academy of Sciences, Bratislava, Slovak Republic.
Mangesh BhideLaboratory of Biomedical Microbiology and Immunology, University of Veterinary Medicine and Pharmacy in Kosice, Kosice, Slovak Republic. bhidemangesh@gmail.com.
University of Veterinary Medicine in Košice · SKInstitute of Neuroimmunology of the Slovak Academy of Sciences · SKSlovak Academy of Sciences · SK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mechanisms by which Streptococcus pneumoniae penetrates the blood-brain barrier (BBB), reach the CNS and causes meningitis are not fully understood. Adhesion of bacterial cells on the brain microvascular endothelial cells (BMECs), mediated through protein-protein interactions, is one of the crucial steps in translocation of bacteria across BBB. In this work, we proposed a systematic workflow for identification of cell wall associated ligands of pneumococcus that might adhere to the human BMECs. The proteome of S. pneumoniae was biotinylated and incubated with BMECs. Interacting proteins were recovered by affinity purification and identified by data independent acquisition (DIA). A total of 44 proteins were identified from which 22 were found to be surface-exposed. Based on the subcellular location, ontology, protein interactive analysis and literature review, five ligands (adhesion lipoprotein, endo-β-N-acetylglucosaminidase, PhtA and two hypothetical proteins, Spr0777 and Spr1730) were selected to validate experimentally (ELISA and immunocytochemistry) the ligand-BMECs interaction. In this study, we proposed a high-throughput approach to generate a dataset of plausible bacterial ligands followed by systematic bioinformatics pipeline to categorize the protein candidates for experimental validation. The approach proposed here could contribute in the fast and reliable screening of ligands that interact with host cells.

Indexed as

Bacterial AdhesionBacterial ProteinsBlood-Brain BarrierBrainCell LineCell WallHost-Pathogen InteractionsHumansPneumococcal InfectionsProtein Interaction MapsProteomicsStreptococcus pneumoniaeBacterial Proteins

Identifiers

PMID29588455
PMCPMC5869694
OpenAlexW2795350876

What OpenQuestion holds

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LicenceCC BY
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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.