ReviewMicroorganisms2020
Spheres of Influence: Insights into
Review in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 32 citations in OpenAlex.
- The 3D landscape of infection: spatial organization andFrontiers in immunology · 2026Review
- Human antibody targetingmBio · 2025Article
- Antibacterial activity of the novel peptide Pac-525 with the RGD motif against intracellular Escherichia coli.Scientific reports · 2025Article
- Applying 3D cultures and high-throughput technologies to study host-pathogen interactions.Frontiers in immunology · 2025Review
- Concurrent emergencies: overlappingFrontiers in public health · 2024Article
- Infection of porcine enteroids and 2D differentiated intestinal epithelial cells with rotavirus A to study cell tropism and polarized immune response.Emerging microbes & infections · 2023Article
- Secretory-IgA binding to intestinal microbiota attenuates inflammatory reactions as the intestinal barrier of preterm infants matures.Clinical and experimental immunology · 2023Article
- Differential Salmonella Typhimurium intracellular replication and host cell responses in caecal and ileal organoids derived from chicken.Veterinary research · 2023Article
- Advancing intestinal organoid technology to decipher nano-intestine interactions and treat intestinal disease.Nano research · 2023Review
- From the Dish to the Real World: Modeling Interactions between the Gut and Microorganisms in Gut Organoids by Tailoring the Gut Milieu.International journal of stem cells · 2022Review
- Cross-Talk Between the Intestinal Epithelium andFrontiers in microbiology · 2022Review
- A Versatile Human Intestinal Organoid-Derived Epithelial Monolayer Model for the Study of Enteric Pathogens.Microbiology spectrum · 2021Article
- Special Issue "Salmonella: Pathogenesis and Host Restriction".Microorganisms · 2021Article
- Who's in control? Regulation of metabolism and pathogenesis in space and time.Current opinion in microbiology · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The molecular complexity of host-pathogen interactions remains poorly understood in many infectious diseases, particularly in humans due to the limited availability of reliable and specific experimental models. To bridge the gap between classical two-dimensional culture systems, which often involve transformed cell lines that may not have all the physiologic properties of primary cells, and in vivo animal studies, researchers have developed the organoid model system. Organoids are complex three-dimensional structures that are generated in vitro from primary cells and can recapitulate key in vivo properties of an organ such as structural organization, multicellularity, and function. In this review, we discuss how organoids have been deployed in exploring
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.