Evidence map›Paper›PMID 27113450›Full record

ArticleBMC genomics2016

Survey of cryptic unstable transcripts in yeast.

Jessica M Vera, Robin D Dowell

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 15 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Jessica M VeraDepartment of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, 80309, USA.
Robin D DowellDepartment of Molecular, Cellular, and Developmental Biology, University of Colorado Boulder, Boulder, CO, 80309, USA. Robin.Dowell@colorado.edu.
University of Colorado Boulder · US

Funding

A High-memory Supercomputer for Proteomics, Text Mining and Microbiome ResearchS10OD012300 · OD · UNIVERSITY OF COLORADO · PI AHN, NATALIE G. · 2013 to 2013
$1.9M
NIH HHS S10 OD012300
6 · The paper itself

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.

Indexed as

Gene Expression Regulation, FungalRNA StabilityExosomesGenome, FungalMarkov ChainsNucleosomesRNA, FungalRNA, UntranslatedSaccharomycesSequence Analysis, RNASyntenyTranscriptomeNucleosomesRNA, FungalRNA, UntranslatedCryptic unstable transcriptsCUTsHidden Markov modelNucleosome occupancyRNA-seqRrp6Saccharomyces cerevisiaeSaccharomyces paradoxusTranscriptomeYeast

Identifiers

PMID27113450
PMCPMC4845318
OpenAlexW2344078180

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.