ArticleBMC genomics2016
Survey of cryptic unstable transcripts in yeast.
Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 15 citations in OpenAlex.
- Cryptic transcription in aging.iScience · 2026Review
- Omics-Based Expression Cassette for Heterologous Protein Production inACS synthetic biology · 2026Article
- MicroRNA-Mediated Regulation of Vascular Endothelium: From Pro-Inflammation to Atherosclerosis.International journal of molecular sciences · 2025Review
- Post-transcriptional regulation shapes the transcriptome of quiescent budding yeast.Nucleic acids research · 2024Article
- Bacterial Transcription Factors Bind to Coding Regions and Regulate Internal Cryptic Promoters.mBio · 2022Article
- The cryptic unstable transcripts are associated with developmentally regulated gene expression in blood-stageRNA biology · 2020Article
- Transcription start site profiling uncovers divergent transcription and enhancer-associated RNAs in Drosophila melanogaster.BMC genomics · 2018Article
- The effects of transcription and recombination on mutational dynamics of short tandem repeats.Nucleic acids research · 2018Article
- Long Noncoding RNAs in Yeast Cells and Differentiated Subpopulations of Yeast Colonies and Biofilms.Oxidative medicine and cellular longevity · 2018Review
- Salt Stress and CTD PHOSPHATASE-LIKE4 Mediate the Switch between Production of Small Nuclear RNAs and mRNAs.The Plant cell · 2017Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
backgroundCryptic unstable transcripts (CUTs) are a largely unexplored class of nuclear exosome degraded, non-coding RNAs in budding yeast. It is highly debated whether CUT transcription has a functional role in the cell or whether CUTs represent noise in the yeast transcriptome. We sought to ascertain the extent of conserved CUT expression across a variety of Saccharomyces yeast strains to further understand and characterize the nature of CUT expression.
resultsWe sequenced the WT and rrp6Δ transcriptomes of three S.cerevisiae strains: S288c, Σ1278b, JAY291 and the S.paradoxus strain N17 and utilized a hidden Markov model to annotate CUTs in these four strains. Utilizing a four-way genomic alignment we identified a large population of CUTs with conserved syntenic expression across all four strains. By identifying configurations of gene-CUT pairs, where CUT expression originates from the gene 5' or 3' nucleosome free region, we observed distinct gene expression trends specific to these configurations which were most prevalent in the presence of conserved CUT expression. Divergent pairs correlate with higher expression of genes, and convergent pairs correlate with reduced gene expression.
conclusionsOur RNA-seq based method has greatly expanded upon previous CUT annotations in S.cerevisiae underscoring the extensive and pervasive nature of unstable transcription. Furthermore we provide the first assessment of conserved CUT expression in yeast and globally demonstrate possible modes of CUT-based regulation of gene expression.
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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.