Evidence map›Paper›PMID 24655298›Full record

ReviewAnnual review of immunology2014

Systems-level analysis of innate immunity.

Daniel E Zak, Vincent C Tam, Alan Aderem

Abstract readReview
In one paragraph

Review in Annual review of immunology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing 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

37 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
  11. Review
  12. Review
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  14. PPARα exacerbates necroptosis, leading to increased mortality in postinfluenza bacterial superinfection.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Metabolomics in Plant Priming Research: The Way Forward?International journal of molecular sciences · 2018
    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

3 authors.

Daniel E ZakSeattle BioMed, Seattle, Washington 98109; email: alan.aderem@seattlebiomed.org.
Vincent C Tam
Alan Aderem

Funding

Systems Biology CoreU19AI100627 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI ULEVITCH, RICHARD J · 2012 to 2021
$49.1M
Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI SHERMAN, DAVID R, ZAK, DANIEL E · 2013 to 2017
$18.9M
LPS Signaling in Macrophages: The Roll of TollR01AI032972 · NIAID · UNIVERSITY OF WASHINGTON · PI ADEREM, ALAN A · 1992 to 2020
$14.6M
LPS REGULATION OF MACROPHAGE FUNCTIONR01AI025032 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI ADEREM, ALAN A · 1987 to 2016
$6.7M
NIAID NIH HHS HHSN272200700038CNIAID NIH HHS HHSN272200800058CNIAID NIH HHS R01 AI025032NIAID NIH HHS R01AI025032NIAID NIH HHS R01 AI032972NIAID NIH HHS R01AI032972NIAID NIH HHS U19 AI100627NIAID NIH HHS U19AI100627NIAID NIH HHS U19 AI106761
6 · The paper itself

Abstract

Systems-level analysis of biological processes strives to comprehensively and quantitatively evaluate the interactions between the relevant molecular components over time, thereby enabling development of models that can be employed to ultimately predict behavior. Rapid development in measurement technologies (omics), when combined with the accessible nature of the cellular constituents themselves, is allowing the field of innate immunity to take significant strides toward this lofty goal. In this review, we survey exciting results derived from systems biology analyses of the immune system, ranging from gene regulatory networks to influenza pathogenesis and systems vaccinology.

Indexed as

Systems BiologyAnimalsCommunicable Disease ControlCommunicable DiseasesHumansImmunity, InnateVaccinesVaccines

Identifiers

PMID24655298
PMCPMC4084718

What OpenQuestion holds

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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.