Evidence map›Paper›PMID 17765704›Full record

ReviewAdvances in virus research2007

Use of functional genomics to understand influenza-host interactions.

Jamie L Fornek, Marcus J Korth, Michael G Katze

Abstract readReview
In one paragraph

Review in Advances in virus research, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.1field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Transcriptomics and proteomics in the study of H1N1 2009.Genomics, proteomics & bioinformatics · 2010
    Review
  9. Article
  10. Review
  11. Review
  12. SARS-CoV virus-host interactions and comparative etiologies of acute respiratory distress syndrome as determined by transcriptional and cytokine profiling of formalin-fixed paraffin-embedded tissues.Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2006
    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 at 1 institution in 1 country.

Jamie L FornekDepartment of Microbiology, University of Washington, Seattle, Washington 98195, USA.
Marcus J Korth
Michael G Katze
University of Washington · US

Funding

YILMA SIV VACCINIA VACCINE TRIALP51RR000166 · NCRR · UNIVERSITY OF WASHINGTON · PI HU, SHIU-LOK · 1985 to 2011
$161.1M
Viral and Host cDNA Libraries from 1918 Influenza CasesP01AI058113 · NIAID · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI GARCIA-SASTRE, ADOLFO · 2004 to 2010
$20.3M
PROTEOMICS COREP30DA015625 · NIDA · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2002 to 2012
$18.9M
DEVELOPMENT OF A PRIMATE GENOMICS RESOURCER24RR016354 · NCRR · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2002 to 2011
$9.7M
STRUCTURAL BIOLOGY OF HLA-A,B ANTIGENSR01AI017892 · NIAID · STANFORD UNIVERSITY · PI PARHAM, PETER R · 1985 to 2019
$6.1M
Mechanisms for viral evasion of innate immune responseP01AI052106 · NIAID · UNIVERSITY OF WASHINGTON · PI PALESE, PETER · 2002 to 2006
$3.4M
TRANSLATION CONTROL OF INFLUENZA VIRUS INFECTED CELLSR01AI022646 · NIAID · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 1986 to 2009
$3.4M
Macaque Model and Gene Expression Profiling of SARSR01HL080621 · NHLBI · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2006 to 2009
$2.5M
Gene Expression Profiling in Filovirus-Infected CellsR21AI063436 · NIAID · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2005 to 2006
$510k
NCRR NIH HHS P51 RR000166NCRR NIH HHS P51RR000166NCRR NIH HHS R24 RR016354NCRR NIH HHS R24RR016354NHLBI NIH HHS R01 HL080621NHLBI NIH HHS R01HL080621NIAID NIH HHS P01 AI052106NIAID NIH HHS P01AI052106NIAID NIH HHS P01 AI058113NIAID NIH HHS P01AI058113NIAID NIH HHS R01 AI017892NIAID NIH HHS R01 AI022646NIAID NIH HHS R01AI022646NIAID NIH HHS R21AI017892NIAID NIH HHS R21 AI063436NIAID NIH HHS R21AI063436NIDA NIH HHS P30 DA015625NIDA NIH HHS P30DA015625
6 · The paper itself

Abstract

Infection with influenza typically results in mild-to-moderate illness in healthy individuals; however, it is responsible for 30,000-40,000 deaths each year in the United States. In extreme cases, such as the influenza pandemic of 1918, tens of millions of people have died from the infection. To prepare for future influenza outbreaks, it is necessary to understand how the virus interacts with the host and to determine what makes certain strains of influenza highly pathogenic. Functional genomics provides a unique approach to this effort by allowing researchers to examine the effect of influenza infection on global host mRNA levels. Researchers are making increasing use of this approach to study virus-host interactions using a variety of model systems. For example, data obtained using microarray technology, in combination with mouse and macaque infection models, is providing exciting new insights into the pathogenicity of the 1918 virus. These studies suggest that the lethality associated with this virus is in part due to an aberrant and unchecked immune response. Progress is also being made toward using functional genomics in the diagnosis and prognosis of acute lung infections and in the development of more effective influenza vaccines and antivirals.

Indexed as

Disease Models, AnimalGene Expression ProfilingGenomicsAnimalsCell LineGene Expression RegulationHeLa CellsHumansInfluenza A virusInfluenza A Virus, H1N1 SubtypeMacaca fascicularisMacaca nemestrinaMiceOrthomyxoviridae InfectionsTime FactorsVirulence

Identifiers

PMID17765704
PMCPMC7112328
OpenAlexW1497000113

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.