Evidence map›Paper›PMID 19169244›Full record

ArticleNature2009

Widespread bidirectional promoters are the major source of cryptic transcripts in yeast.

Helen Neil, Christophe Malabat, Yves d'Aubenton-Carafa, Zhenyu Xu, Lars M Steinmetz, Alain Jacquier

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Article in Nature, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 391 papers.

0numbers the graph read from it
0cells of the map it votes in
391citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

391 citing papers in PubMed.

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  17. Multi-Omics Analysis Reveals Impacts of LincRNA Deletion on Yeast Protein Synthesis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  18. Article
  19. Article
  20. Article

331 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Helen NeilInstitut Pasteur, Unité de Génétique des Interactions Macromoléculaires, CNRS, URA2171, 75015 Paris, France.
Christophe Malabat
Yves d'Aubenton-Carafa
Zhenyu Xu
Lars M Steinmetz
Alain Jacquier

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pervasive and hidden transcription is widespread in eukaryotes, but its global level, the mechanisms from which it originates and its functional significance are unclear. Cryptic unstable transcripts (CUTs) were recently described as a principal class of RNA polymerase II transcripts in Saccharomyces cerevisiae. These transcripts are targeted for degradation immediately after synthesis by the action of the Nrd1-exosome-TRAMP complexes. Although CUT degradation mechanisms have been analysed in detail, the genome-wide distribution at the nucleotide resolution and the prevalence of CUTs are unknown. Here we report the first high-resolution genomic map of CUTs in yeast, revealing a class of potentially functional CUTs and the intrinsic bidirectional nature of eukaryotic promoters. An RNA fraction highly enriched in CUTs was analysed by a 3' Long-SAGE (serial analysis of gene expression) approach adapted to deep sequencing. The resulting detailed genomic map of CUTs revealed that they derive from extremely widespread and very well defined transcription units and do not result from unspecific transcriptional noise. Moreover, the transcription of CUTs predominantly arises within nucleosome-free regions, most of which correspond to promoter regions of bona fide genes. Some of the CUTs start upstream from messenger RNAs and overlap their 5' end. Our study of glycolysis genes, as well as recent results from the literature, indicate that such concurrent transcription is potentially associated with regulatory mechanisms. Our data reveal numerous new CUTs with such a potential regulatory role. However, most of the identified CUTs corresponded to transcripts divergent from the promoter regions of genes, indicating that they represent by-products of divergent transcription occurring at many and possibly most promoters. Eukaryotic promoter regions are thus intrinsically bidirectional, a fundamental property that escaped previous analyses because in most cases divergent transcription generates short-lived unstable transcripts present at very low steady-state levels.

Indexed as

5' Untranslated RegionsGene Expression Regulation, FungalGenome, FungalGlycolysisPromoter Regions, GeneticRNA, FungalRNA Polymerase IIRNA StabilitySaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsTranscription, Genetic5' Untranslated RegionsRNA, FungalRNA Polymerase IISaccharomyces cerevisiae Proteins

Identifiers

PMID19169244

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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.