Evidence map›Paper›PMID 19576841›Full record

ReviewCurrent opinion in microbiology2009

Virus-host interactions: from systems biology to translational research.

Xinxia Peng, Eric Y Chan, Yu Li, Deborah L Diamond, Marcus J Korth, Michael G Katze

Abstract readReview
In one paragraph

Review in Current opinion in microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
–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

32 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Bugs in the system.Immunological reviews · 2013
    Review
  15. Review
  16. Systems immunogenetics of vaccines.Seminars in immunology · 2013
    Review
  17. Article
  18. Article
  19. Article
  20. Applying proteomic technology to clinical virology.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2013
    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

6 authors.

Xinxia PengDepartment of Microbiology, University of Washington, Seattle, WA 98195-8070, USA.
Eric Y Chan
Yu Li
Deborah L Diamond
Marcus J Korth
Michael G Katze

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
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
DEVELOPMENT OF A PRIMATE GENOMIC RESOURCER24OD011157 · OD · UNIVERSITY OF WASHINGTON · PI KATZE, MICHAEL G · 2012 to 2012
$994k
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 AI058113NIAID NIH HHS P01AI058113NIAID NIH HHS R01 AI022646NIAID NIH HHS R01AI022646NIDA NIH HHS P30 DA015625NIDA NIH HHS P30DA015625NIH HHS R24 OD011157
6 · The paper itself

Abstract

Research embracing systems biology approaches and careful analysis of the critical host response has greatly expanded our understanding of infectious diseases. First-generation studies based on genomics and proteomics have made significant progress in establishing the foundation for network-based investigations on virus-host interactions. More recently, data from complementary high-throughput technologies, such as siRNA and microRNA screens and next-generation sequencing, are augmenting systems level analyses and are providing a more detailed and insightful multidimensional view of virus-host networks. Together with advances in data integration, systems biology approaches now have the potential to provide profound impacts on translational research, leading to the more rapid development of new therapeutics and vaccines for infectious diseases. In this review, we highlight new high-throughput technologies, a new philosophy for studying virus-host interactions, and discuss the potential of systems biology to facilitate bench-to-bedside research and create novel strategies to combat disease. Can we save the world using these approaches? Read on.

Indexed as

Gene Expression RegulationGene Expression Regulation, ViralHost-Pathogen InteractionsVirus Physiological PhenomenaGene Knockdown TechniquesGenomicsHumansMicroRNAsProteomicsRNA, Small InterferingSequence Analysis, DNASystems BiologyVirus DiseasesVirusesMicroRNAsRNA, Small Interfering

Identifiers

PMID19576841
PMCPMC2742299

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.