ArticleNature methods2024
Massively parallel single-cell sequencing of diverse microbial populations.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 23 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
23 citing papers in PubMed, 36 citations in OpenAlex.
- Metagenomics for antimicrobial resistance: from resistome surveillance to mechanistic inference.Journal of bacteriology · 2026Review
- Microbial single-cell omics in situ.Cell genomics · 2026Article
- Advances, opportunities, and challenges in microbial community construction: from environmental remediation to biomanufacturing.Archives of microbiology · 2026Review
- Droplet microfluidics strategies for overcoming bottlenecks in antibiotics discovery.iScience · 2026Review
- Metagenomic Tools as Predictive Approaches to Decipher Soil and Rhizosphere Microbial Communities and Their Functions for Sustainable Agriculture.International journal of genomics · 2026Review
- Skin microbiome and cutaneous aging mechanisms and clinical implications.Frontiers in microbiology · 2026Review
- Deterministic Co-encapsulation of Microparticles in Droplets via Synchronized Merging for Single-Cell Genomics.Analytical chemistry · 2025Article
- Article
- Unveiling and stratifying cell cycle-dependent drug efficacy using a single-cell PLOM-CON approach with correlation anomaly and presage protein signals.Communications biology · 2025Article
- Barcodes based on nucleic acid sequences: Applications and challenges (Review).Molecular medicine reports · 2025Review
- Microbiome Single Cell Atlases Generated with a Commercial Instrument.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Recent advances in therapeutic probiotics: insights from human trials.Clinical microbiology reviews · 2025Review
- Microbial functional diversity and redundancy: moving forward.FEMS microbiology reviews · 2025Review
- A data-driven modeling framework for mapping genotypes to synthetic microbial community functions.bioRxiv : the preprint server for biology · 2025Article
- Self-driving laboratories, advanced immunotherapies and five more technologies to watch in 2025.Nature · 2025Article
- Microbial function in food fermentations: Current research and future directions.Current research in microbial sciences · 2025Article
- Bacteroides expand the functional versatility of a conserved transcription factor and transcribed DNA to program capsule diversity.Nature communications · 2024Article
- AI in microbiome-related healthcare.Microbial biotechnology · 2024Review
- Integrating evolutionary genomics of forest trees to inform future tree breeding amid rapid climate change.Plant communications · 2024Review
- Single-cell sequencing of diverse microorganisms.Nature reviews. Genetics · 2024Article
Corrections and comments
- Erratum issued
Authors and funding
8 authors at 1 institution in 1 country.
Funding
Abstract
Single-cell genetic heterogeneity is ubiquitous in microbial populations and an important aspect of microbial biology; however, we lack a broadly applicable and accessible method to study this heterogeneity in microbial populations. Here, we show a simple, robust and generalizable method for high-throughput single-cell sequencing of target genetic loci in diverse microbes using simple droplet microfluidics devices (droplet targeted amplicon sequencing; DoTA-seq). DoTA-seq serves as a platform to perform diverse assays for single-cell genetic analysis of microbial populations. Using DoTA-seq, we demonstrate the ability to simultaneously track the prevalence and taxonomic associations of >10 antibiotic-resistance genes and plasmids within human and mouse gut microbial communities. This workflow is a powerful and accessible platform for high-throughput single-cell sequencing of diverse microbial populations.
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.