ReviewCurrent protocols in molecular biology2014
Genome-Wide Fitness and Genetic Interactions Determined by Tn-seq, a High-Throughput Massively Parallel Sequencing Method for Microorganisms.
Review in Current protocols in molecular biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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
47 citing papers in PubMed, 90 citations in OpenAlex.
- Article
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- A shared alarmone-GTP switch controls persister formation in bacteria.Nature microbiology · 2025Article
- Article
- Saturated Transposon Analysis in Yeast as a one-step method to quantify the fitness effects of gene disruptions on a genome-wide scale.PloS one · 2025Article
- A Trivalent Live Vaccine Elicits Cross-Species Protection Against Acute Otitis Media in a Murine Model.Vaccines · 2024Article
- CRISPRi-TnSeq maps genome-wide interactions between essential and non-essential genes in bacteria.Nature microbiology · 2024Article
- Reliable Genomic Integration Sites inACS synthetic biology · 2024Article
- ORBIT for E. coli: kilobase-scale oligonucleotide recombineering at high throughput and high efficiency.Nucleic acids research · 2024Article
- Recent advances in the characterization of essential genes and development of a database of essential genes.iMeta · 2024Review
- A sequencing-based method for quantifying gene-deletion mutants of bacteria in the intracellular environment.Frontiers in microbiology · 2024Article
- Illuminating the oral microbiome and its host interactions: tools and approaches for molecular microbiology studies.FEMS microbiology reviews · 2023Review
- Identification ofJournal of bacteriology · 2023Article
- Identification and Characterization of Negative Regulators of Rgg1518 Quorum Sensing in Streptococcus pneumoniae.Journal of bacteriology · 2023Article
- pBLAM1-x: standardized transposon tools for high-throughput screening.Synthetic biology (Oxford, England) · 2023Article
- Construction of high-density transposon mutant library of Staphylococcus aureus using bacteriophage ϕ11.Journal of microbiology (Seoul, Korea) · 2022Article
- A newly identified flavoprotein disulfide reductase Har protects Streptococcus pneumoniae against hypothiocyanous acid.The Journal of biological chemistry · 2022Article
Corrections and comments
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Authors and funding
3 authors at 3 institutions in 1 country.
Funding
Abstract
The lagging annotation of bacterial genomes and the inherent genetic complexity of many phenotypes is hindering the discovery of new drug targets and the development of new antimicrobial agents and vaccines. This unit presents Tn-seq, a method that has made it possible to quantitatively determine fitness for most genes in a microorganism and to screen for quantitative genetic interactions on a genome-wide scale and in a high-throughput fashion. Tn-seq can thus direct studies on the annotation of genes and untangle complex phenotypes. The method is based on the construction of a saturated transposon insertion library. After library selection, changes in the frequency of each insertion mutant are determined by sequencing flanking regions en masse. These changes are used to calculate each mutant's fitness. The method was originally developed for the Gram-positive bacterium Streptococcus pneumoniae, a causative agent of pneumonia and meningitis, but has now been applied to several different microbial species.
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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.