Evidence map›Paper›PMID 27822537›Full record

ArticlemSystems

A Simple Screening Approach To Prioritize Genes for Functional Analysis Identifies a Role for Interferon Regulatory Factor 7 in the Control of Respiratory Syncytial Virus Disease.

Jacqueline U McDonald, Myrsini Kaforou, Simon Clare, Christine Hale, Maria Ivanova, Derek Huntley, Marcus Dorner, Victoria J Wright, Michael Levin, Federico Martinon-Torres and 2 more

Open access · goldAbstract read
In one paragraph

Article in mSystems. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

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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

12 authors at 4 institutions in 2 countries.

Jacqueline U McDonaldMucosal Infection and Immunity Group, Section of Virology, Imperial College London, St. Mary's Campus, London, United Kingdom.
Myrsini KaforouSection of Paediatrics, Imperial College London, St. Mary's Campus, London, United Kingdom.
Simon ClareWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom.
Christine HaleWellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, United Kingdom.
Maria IvanovaMucosal Infection and Immunity Group, Section of Virology, Imperial College London, St. Mary's Campus, London, United Kingdom.
Derek HuntleyImperial College Centre for Integrative Systems Biology and Bioinformatics, Imperial College London, London, United Kingdom.
Marcus DornerMolecular Virology, Section of Virology, Imperial College London, St. Mary's Campus, London, United Kingdom.
Victoria J WrightSection of Paediatrics, Imperial College London, St. Mary's Campus, London, United Kingdom.
Michael LevinSection of Paediatrics, Imperial College London, St. Mary's Campus, London, United Kingdom.
Federico Martinon-TorresDepartment of Paediatrics, Hospital Clínico Universitario de Santiago, Santiago de Compostela, Spain.
Jethro A HerbergSection of Paediatrics, Imperial College London, St. Mary's Campus, London, United Kingdom.
John S TregoningMucosal Infection and Immunity Group, Section of Virology, Imperial College London, St. Mary's Campus, London, United Kingdom.ORCID 0000-0001-8093-8741
Imperial College London · GBSt Mary's Hospital · GBWellcome Sanger Institute · GBComplejo Hospitalario Universitario de Santiago · ES

Funding

Wellcome Trust
6 · The paper itself

Abstract

Greater understanding of the functions of host gene products in response to infection is required. While many of these genes enable pathogen clearance, some enhance pathogen growth or contribute to disease symptoms. Many studies have profiled transcriptomic and proteomic responses to infection, generating large data sets, but selecting targets for further study is challenging. Here we propose a novel data-mining approach combining multiple heterogeneous data sets to prioritize genes for further study by using respiratory syncytial virus (RSV) infection as a model pathogen with a significant health care impact. The assumption was that the more frequently a gene is detected across multiple studies, the more important its role is. A literature search was performed to find data sets of genes and proteins that change after RSV infection. The data sets were standardized, collated into a single database, and then panned to determine which genes occurred in multiple data sets, generating a candidate gene list. This candidate gene list was validated by using both a clinical cohort and

Indexed as

host responseimmunityrespiratory syncytial virusviral immunity

Identifiers

PMID27822537
PMCPMC5069771
OpenAlexW2461688869

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.