Evidence map›Paper›PMID 29214055›Full record

ArticleNPJ systems biology and applications2017

Integrative gene network analysis identifies key signatures, intrinsic networks and host factors for influenza virus A infections.

Christian V Forst, Bin Zhou, Minghui Wang, Tsui-Wen Chou, Guy Mason, Won-Min Song, Eric Schadt, Elodie Ghedin, Bin Zhang

Open access · goldAbstract read
In one paragraph

Article in NPJ systems biology and applications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 30% 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, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Human long noncoding RNAJournal of virology · 2025
    Article
  4. Article
  5. Human long noncoding RNA,bioRxiv : the preprint server for biology · 2024
    Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. 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

9 authors at 2 institutions in 1 country.

Christian V ForstDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA.
Bin ZhouCenter for Genomics & Systems Biology, Department of Biology, New York University, 12 Waverly Place, New York, NY 10003 USA.
Minghui WangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA.ORCID 0000-0001-9171-4962
Tsui-Wen ChouCenter for Genomics & Systems Biology, Department of Biology, New York University, 12 Waverly Place, New York, NY 10003 USA.
Guy MasonCenter for Genomics & Systems Biology, Department of Biology, New York University, 12 Waverly Place, New York, NY 10003 USA.
Won-Min SongDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA.ORCID 0000-0003-0948-119X
Eric SchadtDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA.ORCID 0000-0002-7892-8808
Elodie GhedinCenter for Genomics & Systems Biology, Department of Biology, New York University, 12 Waverly Place, New York, NY 10003 USA.
Bin ZhangDepartment of Genetics and Genomic Sciences, Icahn Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY 10029 USA.
Icahn School of Medicine at Mount Sinai · USNew York University · US

Funding

Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's DiseaseU01AG046170 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI WANG, MINGHUI, ZHANG, BIN · 2013 to 2022
$26.0M
Omics-Based Predictive Modeling of Age-Dependent Outcome to Influenza InfectionU01AI111598 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI GHEDIN, ELODIE · 2013 to 2017
$13.3M
Identification and characterization of AD risk networks using multi-dimensional "omics" dataU01AG052411 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CRUCHAGA, CARLOS, GOATE, ALISON M · 2016 to 2020
$4.5M
Molecular Characterization and Validation of Gender Differences in Alzheimers Disease PathogenesisRF1AG054014 · NIA · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAI, DONGMING, ZHANG, BIN · 2016 to 2016
$4.2M
Transforming Genomics with 5 PB Big Omics Data Engine Cray CS300-AC SupercomputerS10OD018522 · OD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KOVATCH, PATRICIA · 2014 to 2014
$1.9M
NIAID NIH HHS U01 AI111598NIA NIH HHS RF1 AG054014NIA NIH HHS U01 AG046170NIA NIH HHS U01 AG052411NIH HHS S10 OD018522
6 · The paper itself

Abstract

Influenza A virus, with the limited coding capacity of 10-14 proteins, requires the host cellular machinery for many aspects of its life cycle. Knowledge of these host cell requirements not only reveals molecular pathways exploited by the virus or triggered by the immune system, but also provides further targets for antiviral drug development. To uncover novel pathways and key targets of influenza infection, we assembled a large amount of data from 12 cell-based gene-expression studies of influenza infection for an integrative network analysis. We systematically identified differentially expressed genes and gene co-expression networks induced by influenza infection. We revealed the dedicator of cytokinesis 5 (

Identifiers

PMID29214055
PMCPMC5712526
OpenAlexW2775279424

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.