ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025
Microbiome Single Cell Atlases Generated with a Commercial Instrument.
Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Droplet microfluidics strategies for overcoming bottlenecks in antibiotics discovery.iScience · 2026Review
- Article
- Microbiome Single Cell Atlases Generated with a Commercial Instrument.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Antimicrobial resistance at a turning point: microbial drivers, one health, and global futures.Frontiers in microbiology · 2025Review
- A single amplified genome catalog reveals the dynamics of mobilome and resistome in the human microbiome.Microbiome · 2024Article
Corrections and comments
- Update of
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Authors and funding
9 authors.
Funding
Abstract
Single-cell sequencing is useful for resolving complex systems into their composite cell types and computationally mining them for unique features that are masked in pooled sequencing. However, while commercial instruments have made single-cell analysis widespread for mammalian cells, analogous tools for microbes are limited. Here, EASi-seq (Easily Accessible Single microbe sequencing) is presented. By adapting the single-cell workflow of the commercial Mission Bio Tapestri instrument, this method allows for efficient sequencing of individual microbial genomes. EASi-seq allows tens of thousands of microbes to be sequenced per run and, as it is shown, can generate detailed atlases of human and environmental microbiomes. The ability to capture large genome datasets from thousands of single microbes provides new opportunities in discovering and analyzing species subpopulations. To facilitate this, a companion bioinformatic pipeline is developed that clusters genome by sequence similarity, improving whole genome assembly, strain identification, taxonomic classification, and gene annotation. In addition, the integration of metagenomic contigs with the EASi-seq datasets is demonstrated to reduce capture bias and increase coverage. EASi-seq enables high-quality single-cell genomic sequencing for microbiome samples using a simple workflow run on a commercially available platform.
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.