ReviewCurrent opinion in microbiology2024
How do bacteria tune transcription termination efficiency?
Review in Current opinion in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 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
4 citing papers in PubMed.
- Systems-level analysis predicts no autotrophy-linked protein-RNA interactions in Clostridium autoethanogenum.Nature communications · 2026Article
- Canonical transcription termination mechanisms explain a minority of operons in cyanobacteria.mSystems · 2026Article
- Canonical transcription termination mechanisms explain a minority of operons in cyanobacteria.bioRxiv : the preprint server for biology · 2025Article
- Review
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.
Funding
Abstract
Bacterial operons often contain intergenic transcription terminators that terminate some, but not all, RNA polymerase molecules. In these operons, the level of terminator readthrough determines downstream gene expression and helps establish protein ratios among co-regulated genes. Despite its critical role in maintaining stoichiometric gene expression, terminator strength remains difficult to predict from DNA sequence. The necessary features of a major class of bacterial terminators - intrinsic terminators - have been known for half a century, but a strong sequence-function model has yet to be developed. Here, we summarize high-throughput approaches for probing the sequence determinants of intrinsic termination efficiency and discuss the impact of trans-acting factors on this sequence-function relationship. Building on the main lessons from these studies, we map out the experimental challenges that must be circumvented to establish a quantitative model for termination efficiency.
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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.