Evidence map›Paper›PMID 29032348›Full record

ReviewCurrent opinion in microbiology2017

Systems proteomics approaches to study bacterial pathogens: application to Mycobacterium tuberculosis.

Amir Banaei-Esfahani, Charlotte Nicod, Ruedi Aebersold, Ben C Collins

Open access · hybridAbstract readReview
In one paragraph

Review in Current opinion in microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.9field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
  2. Recent Characterization of Key Proteins to Combat Tuberculosis.Advances in experimental medicine and biology · 2026
    Review
  3. Review
  4. Olink proteomics and lipidomics analysis of serum from patients infected with non-tuberculous mycobacteria and Mycobacterium tuberculosis.Inflammation research : official journal of the European Histamine Research Society ... [et al.] · 2024
    Article
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Lineage-Specific Proteomic Signatures in theFrontiers in microbiology · 2020
    Article
  15. Microbiology spectrum · 2019
    Review
  16. Article
  17. Article
  18. Proteomics ofFrontiers in immunology · 2018
    Review
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 2 institutions in 1 country.

Amir Banaei-EsfahaniDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; PhD Program in Systems Biology, Life Science Zurich Graduate School, University of Zurich and ETH Zurich, Zurich, Switzerland.
Charlotte NicodDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; PhD Program in Systems Biology, Life Science Zurich Graduate School, University of Zurich and ETH Zurich, Zurich, Switzerland.
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland; Faculty of Science, University of Zurich, Zurich, Switzerland. Electronic address: aebersold@imsb.biol.ethz.ch.
Ben C CollinsDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland. Electronic address: collins@imsb.biol.ethz.ch.
ETH Zurich · CHLife Science Zurich · CH

Funding

Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI SHERMAN, DAVID R, ZAK, DANIEL E · 2013 to 2017
$18.9M
NIAID NIH HHS U19 AI106761
6 · The paper itself

Abstract

Significant developments and improvements in basic and clinical research notwithstanding, infectious diseases still claim at least 13 million lives annually. Classical research approaches have deciphered many molecular mechanisms underlying infection. Today it is increasingly recognized that multiple molecular mechanisms cooperate to constitute a complex system that is used by a given pathogen to interfere with the biochemical processes of the host. Therefore, systems-level approaches now complement the standard molecular biology techniques to investigate pathogens and their interactions with the human host. Here we review omic studies in Mycobacterium tuberculosis, the causative agent of tuberculosis, with a particular focus on proteomic methods and their application to the bacilli. Likewise, the discussed methods are directly portable to other bacterial pathogens.

Indexed as

Bacterial ProteinsMycobacterium tuberculosisProteomicsSystems BiologyAntitubercular AgentsDrug Resistance, BacterialHumansTuberculosisAntitubercular AgentsBacterial Proteins

Identifiers

PMID29032348
PMCPMC5732070
OpenAlexW2762189633

What OpenQuestion holds

Textmetadata
LicenceTDM
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.