Evidence map›Paper›PMID 25722051›Full record

ReviewProtein & cell2015

Mass spectrometry-based proteomic approaches to study pathogenic bacteria-host interactions.

Yufei Yang, Mo Hu, Kaiwen Yu, Xiangmei Zeng, Xiaoyun Liu

Abstract readReview
In one paragraph

Review in Protein & cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
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

23 citing papers in PubMed.

  1. Opsonization Improves Dual Proteomic Analysis ofJournal of proteome research · 2026
    Article
  2. Multi-Omics Analysis ofJournal of fungi (Basel, Switzerland) · 2026
    Article
  3. Proteomic Analysis ofInternational journal of molecular sciences · 2025
    Article
  4. The Relationship Between the Growth ofReports of biochemistry & molecular biology · 2024
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Bacterial Interactions withMicroorganisms · 2021
    Review
  10. MS-BasedACS infectious diseases · 2020
    Article
  11. Review
  12. Review
  13. Proteomics of Brucella.Proteomes · 2020
    Review
  14. Tracking Pathogen Infections by Time-Resolved Chemical Proteomics.Angewandte Chemie (International ed. in English) · 2020
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

5 authors.

Yufei YangInstitute of Analytical Chemistry and Synthetic and Functional Biomolecules Center, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
Mo Hu
Kaiwen Yu
Xiangmei Zeng
Xiaoyun Liu

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elucidation of molecular mechanisms underlying host-pathogen interactions is important for control and treatment of infectious diseases worldwide. Within the last decade, mass spectrometry (MS)-based proteomics has become a powerful and effective approach to better understand complex and dynamic host-pathogen interactions at the protein level. Herein we will review the recent progress in proteomic analyses towards bacterial infection of their mammalian host with a particular focus on enteric pathogens. Large-scale studies of dynamic proteomic alterations during infection will be discussed from the perspective of both pathogenic bacteria and host cells.

Indexed as

Protein Processing, Post-TranslationalAnimalsBacteriaBacterial InfectionsBacterial ProteinsHost-Pathogen InteractionsHumansMass SpectrometryProteomicsBacterial Proteins

Identifiers

PMID25722051
PMCPMC4383758

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.