ReviewCurrent opinion in microbiology2010
Studying bacterial transcriptomes using RNA-seq.
Review in Current opinion in microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 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
136 citing papers in PubMed.
- Comparative Analysis of Quorum Sensing-Dependent Transcriptomic Responses in Phytopathogenic Burkholderia spp.The plant pathology journal · 2026Article
- Bacterial Systematic Genetics and Integrated Multi-Omics: Beyond Static Genomics Toward Predictive Models.International journal of molecular sciences · 2025Review
- Hepatic antioxidant capacity, immune response, and glycolysis of Tibetan sheep in response to dietary soluble protein levels.Protoplasma · 2025Article
- Artificial Intelligence and Computational Biology in Gene Therapy: A Review.Biochemical genetics · 2025Review
- Transcriptional profiling of milk fat synthesis in mammary gland of dairy cows with different forage quality using RNA sequencing.Frontiers in veterinary science · 2025Article
- Article
- Essential genes formSystems · 2024Article
- Genome-wide annotation of transcript boundaries using bacterial Rend-seq datasets.Microbial genomics · 2024Article
- Bacterial therapies at the interface of synthetic biology and nanomedicine.Nature reviews bioengineering · 2024Article
- Precision run-on sequencing (PRO-seq) for microbiome transcriptomics.Nature microbiology · 2024Article
- Methodologies for bacterial ribonuclease characterization using RNA-seq.FEMS microbiology reviews · 2023Review
- Mechanobiology as a tool for addressing the genotype-to-phenotype problem in microbiology.Biophysics reviews · 2023Review
- Pleomorphic Variants ofInternational journal of molecular sciences · 2023Article
- Profiling of Microbial Landscape in Lung of Chronic Obstructive Pulmonary Disease Patients Using RNA Sequencing.International journal of chronic obstructive pulmonary disease · 2023Article
- Rapid and accurate identification of ribosomal RNA sequences via deep learning.Nucleic acids research · 2022Article
- Microbial Consortia and Mixed Plastic Waste: Pangenomic Analysis Reveals Potential for Degradation of Multiple Plastic Types via Previously Identified PET Degrading Bacteria.International journal of molecular sciences · 2022Article
- Transcriptomics Reveals How Minocycline-Colistin Synergy Overcomes Antibiotic Resistance in Multidrug-Resistant Klebsiella pneumoniae.Antimicrobial agents and chemotherapy · 2022Article
- Nanopore sequencing of RNA and cDNA molecules inRNA (New York, N.Y.) · 2022Article
- "Omics" Technologies - What Have They Told Us About UropathogenicFrontiers in cellular and infection microbiology · 2022Review
- Arginine Catabolism and Polyamine Biosynthesis Pathway Disparities WithinFrontiers in microbiology · 2022Article
76 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Genome-wide studies of bacterial gene expression are shifting from microarray technology to second generation sequencing platforms. RNA-seq has a number of advantages over hybridization-based techniques, such as annotation-independent detection of transcription, improved sensitivity and increased dynamic range. Early studies have uncovered a wealth of novel coding sequences and non-coding RNA, and are revealing a transcriptional landscape that increasingly mirrors that of eukaryotes. Already basic RNA-seq protocols have been improved and adapted to looking at particular aspects of RNA biology, often with an emphasis on non-coding RNAs, and further refinements to current techniques will improve our understanding of gene expression, and genome content, in the future.
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.