ReviewCurrent opinion in microbiology2015
Quantitative bacterial transcriptomics with RNA-seq.
Review in Current opinion in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.
What it found
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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
50 citing papers in PubMed.
- High-resolution profiling of bacterial transcriptomes by SEnd-seq.The Biochemical journal · 2026Review
- The Small Noncoding RNA, RsaC, Is Essential for Staphylococcus aureus Virulence.The Journal of infectious diseases · 2026Article
- A transcription unit based systems biology study onFrontiers in microbiology · 2026Article
- Bacterial Systematic Genetics and Integrated Multi-Omics: Beyond Static Genomics Toward Predictive Models.International journal of molecular sciences · 2025Review
- OpDetect: A convolutional and recurrent neural network classifier for precise and sensitive operon detection from RNA-seq data.PloS one · 2025Article
- Comparison of direct cDNA and PCR-cDNA Nanopore sequencing of RNA fromMicrobial genomics · 2024Article
- Methods for studying microbial acid stress responses: from molecules to populations.FEMS microbiology reviews · 2024Review
- Transcriptional biomarker discovery toward building a load stress reporting system for engineered Escherichia coli strains.Biotechnology and bioengineering · 2024Article
- Methodologies for bacterial ribonuclease characterization using RNA-seq.FEMS microbiology reviews · 2023Review
- Transcriptional Profiles Analysis of COVID-19 and Malaria Patients Reveals Potential Biomarkers in Children.bioRxiv : the preprint server for biology · 2022Article
- What are housekeeping genes?PLoS computational biology · 2022Article
- Systems Biology on Acetogenic Bacteria for Utilizing C1 Feedstocks.Advances in biochemical engineering/biotechnology · 2022Article
- The Complex Transcriptional Landscape of Magnetosome Gene Clusters in Magnetospirillum gryphiswaldense.mSystems · 2021Article
- Quantitative Control for Stoichiometric Protein Synthesis.Annual review of microbiology · 2021Article
- Global transcriptome analysis ofMicrobial genomics · 2021Article
- An acquired acyltransferase promotes Klebsiella pneumoniae ST258 respiratory infection.Cell reports · 2021Article
- Article
- The Genome of "Frontiers in microbiology · 2021Article
- Efficient and cost-effective bacterial mRNA sequencing from low input samples through ribosomal RNA depletion.BMC genomics · 2020Article
- Genetic circuit characterization by inferring RNA polymerase movement and ribosome usage.Nature communications · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
RNA sequencing has emerged as the premier approach to study bacterial transcriptomes. While the earliest published studies analyzed the data qualitatively, the data are readily digitized and lend themselves to quantitative analysis. High-resolution RNA sequence (RNA-seq) data allows transcriptional features (promoters, terminators, operons, among others) to be pinpointed on any bacterial transcriptome. Once the transcriptome is mapped, the activity of transcriptional features can be quantified. Here we highlight how quantitative transcriptome analysis can reveal biological insights and briefly discuss some of the challenges to be faced by the field of bacterial transcriptomics in the near future.
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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.