Evidence map›Paper›PMID 21789257›Full record

ArticlePloS one2011

Large scale comparison of innate responses to viral and bacterial pathogens in mouse and macaque.

Guy Zinman, Rachel Brower-Sinning, Chineye H Emeche, Jason Ernst, Grace Tzu-Wei Huang, Shaun Mahony, Amy J Myers, Dawn M O'Dee, JoAnne L Flynn, Gerard J Nau and 5 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2011. 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
–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

15 citing papers in PubMed.

  1. Observational
  2. Review
  3. Article
  4. KillingMicrobiology spectrum · 2017
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. cDREM: inferring dynamic combinatorial gene regulation.Journal of computational biology : a journal of computational molecular cell biology · 2015
    Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. The non-human primate model of tuberculosis.Journal of medical primatology · 2012
    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

15 authors.

Guy ZinmanLane Center for Computational Biology, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.
Rachel Brower-Sinning
Chineye H Emeche
Jason Ernst
Grace Tzu-Wei Huang
Shaun Mahony
Amy J Myers
Dawn M O'Dee
JoAnne L Flynn
Gerard J Nau
Ted M Ross
Russell D Salter
Panayiotis V Benos
Ziv Bar Joseph
Penelope A Morel

Funding

University of Pittsburgh Clinical and Translational Science InstituteUL1TR000005 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2012 to 2015
$50.8M
Modeling Immunity for BiodefenseN01AI50018 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI STEINMETZ, KAREN · 2008 to 2011
$3.5M
NCATS NIH HHS UL1 TR000005NIAID NIH HHS N01 AI050018NIAID NIH HHS N01 AI50018
6 · The paper itself

Abstract

Viral and bacterial infections of the lower respiratory tract are major causes of morbidity and mortality worldwide. Alveolar macrophages line the alveolar spaces and are the first cells of the immune system to respond to invading pathogens. To determine the similarities and differences between the responses of mice and macaques to invading pathogens we profiled alveolar macrophages from these species following infection with two viral (PR8 and Fuj/02 influenza A) and two bacterial (Mycobacterium tuberculosis and Francisella tularensis Schu S4) pathogens. Cells were collected at 6 time points following each infection and expression profiles were compared across and between species. Our analyses identified a core set of genes, activated in both species and across all pathogens that were predominantly part of the interferon response pathway. In addition, we identified similarities across species in the way innate immune cells respond to lethal versus non-lethal pathogens. On the other hand we also found several species and pathogen specific response patterns. These results provide new insights into mechanisms by which the innate immune system responds to, and interacts with, invading pathogens.

Indexed as

AnimalsBacteriaFrancisella tularensisGene Expression ProfilingGene Expression RegulationHost-Pathogen InteractionsImmunity, InnateInfluenza A virusInterferon Regulatory Factor-7MacacaMacrophages, AlveolarMiceMycobacterium tuberculosisOligonucleotide Array Sequence AnalysisOrthomyxoviridae InfectionsSignal TransductionInterferon Regulatory Factor-7

Identifiers

PMID21789257
PMCPMC3138787

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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.