ReviewmicroLife2022
Ushering in a new era of single-cell transcriptomics in bacteria.
Review in microLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 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
44 citing papers in PubMed, 69 citations in OpenAlex.
- Single-bacterium RNA-seq protocol to uncover heterogeneous expression of coding and noncoding genes in Bacteroides thetaiotaomicron.STAR protocols · 2026Article
- Unravelling bacterial complexity at high resolution with single-cell transcriptomics.Nature microbiology · 2026Review
- Ultrasmall oral Saccharibacteria modulate gingival immunoactivation through type IV pili and TLR2-dependent endocytosis.Nature communications · 2026Article
- A practical guide to targeted single-cell RNA sequencing technologies.Communications biology · 2026Review
- Integrating Single-Cell and Spatial Multi-Omics to Decode Plant-Microbe Interactions at Cellular Resolution.Microorganisms · 2026Review
- Developing antisense oligomer biotics "asobiotics" as precision antibacterials: designs, strategies, and considerations for future success.FEMS microbiology reviews · 2026Review
- Decoding the spatiotemporal heterogeneity of bacterial virulence gene expression using single-cell approaches.Frontiers in microbiology · 2026Review
- Pathogenicity and virulence ofVirulence · 2025Review
- Variability in intrinsic promoter strength underlies the temporal hierarchy of the Caulobacter SOS response induction.PLoS biology · 2025Article
- Maximizing bacterial survival: integrating sense-and-respond and bet-hedging mechanisms.Trends in microbiology · 2025Review
- Clinical application of single-cell RNA sequencing in disease and therapy.Clinical and translational medicine · 2025Review
- Transcriptomic profiling of individual bacteria by MATQ-seq.Nature protocols · 2025Review
- Metagenomic approaches for studying ubiquitous yet diverse nucleoid associated proteins in microbial communities: challenges and advances.World journal of microbiology & biotechnology · 2025Review
- Article
- Review
- Enabling next-generation anaerobic cultivation through biotechnology to advance functional microbiome research.Nature biotechnology · 2025Review
- Resolving spatiotemporal dynamics in bacterial multicellular populations: approaches and challenges.Microbiology and molecular biology reviews : MMBR · 2025Review
- Article
- Towards improved biofilm models.Nature reviews. Microbiology · 2025Review
- Sequencing-based analysis of microbiomes.Nature reviews. Genetics · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Transcriptome analysis of individual cells by single-cell RNA-seq (scRNA-seq) has become routine for eukaryotic tissues, even being applied to whole multicellular organisms. In contrast, developing methods to read the transcriptome of single bacterial cells has proven more challenging, despite a general perception of bacteria as much simpler than eukaryotes. Bacterial cells are harder to lyse, their RNA content is about two orders of magnitude lower than that of eukaryotic cells, and bacterial mRNAs are less stable than their eukaryotic counterparts. Most importantly, bacterial transcripts lack functional poly(A) tails, precluding simple adaptation of popular standard eukaryotic scRNA-seq protocols that come with the double advantage of specific mRNA amplification and concomitant depletion of rRNA. However, thanks to very recent breakthroughs in methodology, bacterial scRNA-seq is now feasible. This short review will discuss recently published bacterial scRNA-seq approaches (MATQ-seq, microSPLiT, and PETRI-seq) and a spatial transcriptomics approach based on multiplexed
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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.