ReviewCommunications biology2026
Empowering fungal infection research with single-cell RNA sequencing.
Review in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fungal pathogens represent a rising global concern with increasing impacts on human health and food security. Despite their significance, research on fungal infections continues to lag behind other infectious diseases, hindering diagnostic and treatment advances. Single-cell RNA sequencing (scRNA-seq) is a powerful tool widely used to identify biomarkers and targets of intervention in various fields, including host-pathogen research. Owing to its ability to resolve cellular heterogeneity, scRNA-seq has been successfully applied in host-viral and host-bacterial studies, providing in-depth insights into the mechanisms of pathogenesis. Recently, this method has also been increasingly adopted in fungal infection research. Here, we provide a brief overview, that summarizes key findings and offers in-depth insights into the dynamics of host-fungal pathogen interactions uncovered through this approach. The review also addresses current limitations, gaps and future directions, encouraging researchers for the broader adoption of single-cell technologies in this field.
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.