ArticleNature microbiology2019
Measuring transcription at a single gene copy reveals hidden drivers of bacterial individuality.
Article in Nature microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 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
36 citing papers in PubMed, 69 citations in OpenAlex.
- Single-phage profiling illuminates viral individuality during bacterial cell fate determination.Nature communications · 2026Article
- From noise to models to numbers: Evaluating negative binomial models and parameter estimations in single-cell RNA-seq.PLoS computational biology · 2026Article
- Single-phage profiling illuminates viral individuality during cell fate determination.bioRxiv : the preprint server for biology · 2026Article
- Single-Molecule Fluorescence In Situ Hybridization (smFISH) for RNA Localization Relative to a DNA Locus in Bacteria.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Dissecting microbial communities with single-cell transcriptome analysis.Science (New York, N.Y.) · 2025Review
- Review
- Article
- Deep learning-based high-resolution time inference for deciphering dynamic gene regulation from fixed embryos.Nature communications · 2025Article
- Uncovering dynamic transcriptional regulation of methanogenesis via single-cell imaging of archaeal gene expression.Nature communications · 2025Article
- Prokaryotic homeostasis - a solution to thrive and survive.Frontiers in molecular biosciences · 2025Review
- Unravelling the Roles of Bacterial Nanomachines Bistability in Pathogens' Life Cycle.Microorganisms · 2024Review
- Analysis of Fluorescent Proteins for Observing Single Gene Locus in a Live and FixedThe journal of physical chemistry. B · 2024Article
- Coinfecting phages impede each other's entry into the cell.Current biology : CB · 2024Article
- Article
- Quantifying and correcting bias in transcriptional parameter inference from single-cell data.Biophysical journal · 2024Article
- Article
- Deciphering a global source of non-genetic heterogeneity in cancer cells.Nucleic acids research · 2023Article
- The minimal intrinsic stochasticity of constitutively expressed eukaryotic genes is sub-Poissonian.Science advances · 2023Article
- Monte Carlo samplers for efficient network inference.PLoS computational biology · 2023Article
- Biophysical modeling with variational autoencoders for bimodal, single-cell RNA sequencing data.bioRxiv : the preprint server for biology · 2023Article
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 3 institutions in 2 countries.
Funding
Abstract
Single-cell measurements of mRNA copy numbers inform our understanding of stochastic gene expression
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.