ReviewCurrent genetics2018
Transcription termination factor Rho and microbial phenotypic heterogeneity.
Review in Current genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed, 24 citations in OpenAlex.
- Rho-dependent transcription termination: mechanisms and roles in bacterial fitness and adaptation to environmental changes.RNA (New York, N.Y.) · 2025Review
- Nucleotide-induced hyper-oligomerization inactivates transcription termination factor ρ.Nature communications · 2025Article
- Article
- Termination factor Rho mediates transcriptional reprogramming of Bacillus subtilis stationary phase.PLoS genetics · 2023Article
- Regulation of Heterogenous LexA Expression inInternational journal of molecular sciences · 2022Article
- Rho-dependent transcription termination: a revisionist view.Transcription · 2021Review
- Genome-Wide Screening of Oxidizing Agent Resistance Genes inAntioxidants (Basel, Switzerland) · 2021Article
- Mastering the control of the Rho transcription factor for biotechnological applications.Applied microbiology and biotechnology · 2021Review
- Transcriptomic analysis reveals the role of RcsB in suppressing bacterial chemotaxis, flagellar assembly and infection in Yersinia enterocolitica.Current genetics · 2020Article
- New sequencing methodologies reveal interplay between multiple RNA-binding proteins and their RNAs.Current genetics · 2020Review
- Advances in bacterial transcriptome understanding: From overlapping transcription to the excludon concept.Molecular microbiology · 2020Review
- New molecular interactions broaden the functions of the RNA chaperone Hfq.Current genetics · 2019Review
- Stress-induced protein aggregates shape population heterogeneity in bacteria.Current genetics · 2019Review
- Tuning the sequence specificity of a transcription terminator.Current genetics · 2019Review
- Ordering up gene expression by slowing down transcription factor binding kinetics.Current genetics · 2019Review
- A bacterial signaling system regulates noise to enable bet hedging.Current genetics · 2019Review
- Widespread Antisense Transcription in Prokaryotes.Microbiology spectrum · 2018Review
- Stochastic Modeling of Gene Regulation by Noncoding Small RNAs in the Strong Interaction Limit.Biophysical journal · 2018Article
- Review
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Populations of genetically identical microorganisms exhibit high degree of cell-to-cell phenotypic diversity even when grown in uniform environmental conditions. Heterogeneity is a genetically determined trait, which ensures bacterial adaptation and survival in the ever changing environmental conditions. Fluctuations in gene expression (noise) at the level of transcription initiation largely contribute to cell-to-cell variability within population. Not surprisingly, the analyses of the mechanisms driving phenotypic heterogeneity are mainly focused on the activity of promoters and transcriptional factors. Less attention is currently given to a role of intrinsic and factor-dependent transcription terminators. Here, we discuss recent advances in understanding the regulatory role of the multi-functional transcription termination factor Rho, the major inhibitor of pervasive transcription in bacteria and the emerging global regulator of gene expression. We propose that termination activity of Rho might be among the mechanisms by which cells manage the intensity of transcriptional noise, thus affecting population heterogeneity.
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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.