Evidence map›Paper›PMID 28163258›Full record

ReviewMolecular & cellular proteomics : MCP2017

Proteomics Tracing the Footsteps of Infectious Disease.

Todd M Greco, Ileana M Cristea

Abstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Review
  2. Metabolic footprint of sepsis and septic shock: A narrative review.World journal of critical care medicine · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Circadian metabolic adaptations to infections.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. A systems approach to infectious disease.Nature reviews. Genetics · 2020
    Review
  18. Review
  19. Article
  20. 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

2 authors.

Todd M GrecoFrom the ‡Department of Molecular Biology, Princeton University, Princeton, New Jersey, 08544.
Ileana M CristeaFrom the ‡Department of Molecular Biology, Princeton University, Princeton, New Jersey, 08544 icristea@princeton.edu.

Funding

Mechanisms mediating immune response upon sensing of nuclear viral DNAR01GM114141 · NIGMS · PRINCETON UNIVERSITY · PI CRISTEA, ILEANA M. · 2015 to 2023
$2.6M
Functional investigation of the TBX20 cardiac interactomeR01HL127640 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CONLON, FRANK LEO, CRISTEA, ILEANA M. · 2015 to 2018
$2.5M
NHLBI NIH HHS R01 HL127640NIGMS NIH HHS R01 GM114141
6 · The paper itself

Abstract

Every year, a major cause of human disease and death worldwide is infection with the various pathogens-viruses, bacteria, fungi, and protozoa-that are intrinsic to our ecosystem. In efforts to control the prevalence of infectious disease and develop improved therapies, the scientific community has focused on building a molecular picture of pathogen infection and spread. These studies have been aimed at defining the cellular mechanisms that allow pathogen entry into hosts cells, their replication and transmission, as well as the core mechanisms of host defense against pathogens. The past two decades have demonstrated the valuable implementation of proteomic methods in all these areas of infectious disease research. Here, we provide a perspective on the contributions of mass spectrometry and other proteomics approaches to understanding the molecular details of pathogen infection. Specifically, we highlight methods used for defining the composition of viral and bacterial pathogens and the dynamic interaction with their hosts in space and time. We discuss the promise of MS-based proteomics in supporting the development of diagnostics and therapies, and the growing need for multiomics strategies for gaining a systems view of pathogen infection.

Indexed as

Bacterial Physiological PhenomenaCommunicable DiseasesHost-Pathogen InteractionsHumansMass SpectrometryProteomicsVirus Physiological Phenomena

Identifiers

PMID28163258
PMCPMC5393401

What Socratic 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 Socratic graph.