ReviewScience (New York, N.Y.)2025
Dissecting microbial communities with single-cell transcriptome analysis.
Review in Science (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Pathogenicity and virulence ofVirulence · 2026Review
- Association ofPathogens (Basel, Switzerland) · 2026Article
- Microbial single-cell transcriptomics links gut microbiota functional states to metabolic changes in male mice.Nature communications · 2026Article
- The gut-joint axis in osteoarthritis.Nature reviews. Rheumatology · 2026Review
- Probiotics in colorectal cancer: mechanisms, biomarkers, and adjunct strategies.Cancer biology & medicine · 2026Review
- Unravelling bacterial complexity at high resolution with single-cell transcriptomics.Nature microbiology · 2026Review
- Review
- Microbial single-cell omics in situ.Cell genomics · 2026Article
- BACON: decoding the dynamic social networks of complex microbial communities at single-cell resolution.Briefings in bioinformatics · 2026Article
- Grand challenge in microbiome data science: recovering the microbiome as a system.Frontiers in microbiology · 2026Article
- A Brief Review of Microbial Omics: Methods and Perspectives.Methods in molecular biology (Clifton, N.J.) · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Revealing insights into the function of microbial communities requires moving beyond measuring bulk taxonomic composition to detecting interactions between subpopulations. Following the transformative impact of single-cell gene expression profiling techniques on numerous fields of human biology, recent years have seen increased application to microbes. We review progress in the development of these techniques and discuss challenges in applying them to microbial communities. We highlight applications for dissecting the microbiome in human health and disease that reveal functional heterogeneity within gut communities, antibiotic responses, and the dynamics of mobile genetic elements. As single-cell gene expression technologies continue to develop, they are becoming ever more essential for examining and modulating the role of microbial communities in clinical and wider environments.
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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.