ReviewNature microbiology2023
Understanding virus-host interactions in tissues.
Review in Nature microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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.
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.
Who cites it
15 citing papers in PubMed.
- Host-strain compatibility shapes host transcriptional responses in macrophageMicrobial genomics · 2026Article
- Review
- Host-Directed Antiviral Strategies Against Influenza Viruses: Host Targets, Multi-Omics Approaches and AI-Assisted Discovery.Veterinary sciences · 2026Review
- Article
- Spatial localization of avian and human influenza A virus receptors in male and female bovine reproductive tissues.Scientific reports · 2026Article
- Chronobiology of neurotropic viruses: rhythmic viral entry and arrhythmic host clocks.Cell discovery · 2026Article
- The presence of persistent synovial inflammation after "Eradication" unmasks the "Unseen" dormant state of infection allowing the prediction of infection free survival in total joint replacements.Journal of translational medicine · 2025Article
- Article
- Nanoscale synthetic biology with innovative medicinal applications.Fundamental research · 2025Review
- The spatial biology of HIV infection.PLoS pathogens · 2025Review
- Viral-bacterial co-infections screen in vitro reveals molecular processes affecting pathogen proliferation and host cell viability.Nature communications · 2024Article
- Simultaneously Controlling Inflammation and Infection by Smart Nanomedicine Responding to the Inflammatory Microenvironment.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- The relationship between autophagy and respiratory viruses.Archives of microbiology · 2024Review
- Preservation of scRNA-Seq Libraries Using Existing Inactivation Protocols.Pathogens (Basel, Switzerland) · 2024Article
- Heat Inactivation of Nipah Virus for Downstream Single-Cell RNA Sequencing Does Not Interfere with Sample Quality.Pathogens (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although virus-host interactions are usually studied in a single cell type using in vitro assays in immortalized cell lines or isolated cell populations, it is important to remember that what is happening inside one infected cell does not translate to understanding how an infected cell behaves in a tissue, organ or whole organism. Infections occur in complex tissue environments, which contain a host of factors that can alter the course of the infection, including immune cells, non-immune cells and extracellular-matrix components. These factors affect how the host responds to the virus and form the basis of the protective response. To understand virus infection, tools are needed that can profile the tissue environment. This Review highlights methods to study virus-host interactions in the infection microenvironment.
Indexed as
Identifiers
37488255What Socratic holds
Registered trials
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 Socratic graph.