Evidence map›Paper›PMID 33096788›Full record

ReviewViruses2020

System-Based Approaches to Delineate the Antiviral Innate Immune Landscape.

Karsten Krey, Aleksandra W Babnis, Andreas Pichlmair

Abstract readReview
In one paragraph

Review in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Spotted Fever GroupMicrobiology spectrum · 2021
    Article
  5. Review
  6. Review
  7. 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.

Karsten KreySchool of Medicine, Institute of Virology, Technical University of Munich, 81675 Munich, Germany.ORCID 0000-0002-1280-4722
Aleksandra W BabnisSchool of Medicine, Institute of Virology, Technical University of Munich, 81675 Munich, Germany.ORCID 0000-0003-1714-4003
Andreas PichlmairSchool of Medicine, Institute of Virology, Technical University of Munich, 81675 Munich, Germany.ORCID 0000-0002-0166-1367

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses pose substantial challenges for society, economy, healthcare systems, and research. Their distinctive pathologies are based on specific interactions with cellular factors. In order to develop new antiviral treatments, it is of central importance to understand how viruses interact with their host and how infected cells react to the virus on a molecular level. Invading viruses are commonly sensed by components of the innate immune system, which is composed of a highly effective yet complex network of proteins that, in most cases, mediate efficient virus inhibition. Central to this process is the activity of interferons and other cytokines that coordinate the antiviral response. So far, numerous methods have been used to identify how viruses interact with cellular processes and revealed that the innate immune response is highly complex and involves interferon-stimulated genes and their binding partners as functional factors. Novel approaches and careful experimental design, combined with large-scale, high-throughput methods and cutting-edge analysis pipelines, have to be utilized to delineate the antiviral innate immune landscape at a global level. In this review, we describe different currently used screening approaches, how they contributed to our knowledge on virus-host interactions, and essential considerations that have to be taken into account when planning such experiments.

Indexed as

Immunity, InnateAntiviral AgentsHost-Pathogen InteractionsInterferonsProteomicsRNA-SeqVirus DiseasesAntiviral AgentsInterferonsgene regulationgenetic screensinnate immunityinterferon-stimulated genesknockoutoverexpressionvirus–host interactions

Identifiers

PMID33096788
PMCPMC7589202

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.