Evidence map›Paper›PMID 19096707›Full record

ArticlePLoS genetics2008

Novel low abundance and transient RNAs in yeast revealed by tiling microarrays and ultra high-throughput sequencing are not conserved across closely related yeast species.

Albert Lee, Kasper Daniel Hansen, James Bullard, Sandrine Dudoit, Gavin Sherlock

Abstract read
In one paragraph

Article in PLoS genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
–field-weighted citation impact
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

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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

27 citing papers in PubMed.

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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

5 authors.

Albert LeeDepartment of Genetics, Stanford University, Stanford, CA, USA.
Kasper Daniel Hansen
James Bullard
Sandrine Dudoit
Gavin Sherlock

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Comprehensive characterization of the Drosophila transcriptomeU01HG004271 · NHGRI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI CELNIKER, SUSAN E · 2007 to 2011
$18.4M
Defining the yeast transcriptome with custom microarraysR01HG003468 · NHGRI · STANFORD UNIVERSITY · PI SHERLOCK, GAVIN J · 2005 to 2007
$1.3M
NHGRI NIH HHS R01 HG003468NHGRI NIH HHS R01 HG03468NHGRI NIH HHS T32 HG000044NHGRI NIH HHS U01 HG004271
6 · The paper itself

Abstract

A complete description of the transcriptome of an organism is crucial for a comprehensive understanding of how it functions and how its transcriptional networks are controlled, and may provide insights into the organism's evolution. Despite the status of Saccharomyces cerevisiae as arguably the most well-studied model eukaryote, we still do not have a full catalog or understanding of all its genes. In order to interrogate the transcriptome of S. cerevisiae for low abundance or rapidly turned over transcripts, we deleted elements of the RNA degradation machinery with the goal of preferentially increasing the relative abundance of such transcripts. We then used high-resolution tiling microarrays and ultra high-throughput sequencing (UHTS) to identify, map, and validate unannotated transcripts that are more abundant in the RNA degradation mutants relative to wild-type cells. We identified 365 currently unannotated transcripts, the majority presumably representing low abundance or short-lived RNAs, of which 185 are previously unknown and unique to this study. It is likely that many of these are cryptic unstable transcripts (CUTs), which are rapidly degraded and whose function(s) within the cell are still unclear, while others may be novel functional transcripts. Of the 185 transcripts we identified as novel to our study, greater than 80 percent come from regions of the genome that have lower conservation scores amongst closely related yeast species than 85 percent of the verified ORFs in S. cerevisiae. Such regions of the genome have typically been less well-studied, and by definition transcripts from these regions will distinguish S. cerevisiae from these closely related species.

Indexed as

Gene Expression ProfilingEvolution, MolecularOligonucleotide Array Sequence AnalysisRNA, FungalSaccharomyces cerevisiaeSequence Analysis, RNATranscription, GeneticYeastsRNA, Fungal

Identifiers

PMID19096707
PMCPMC2601015

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Registered trials

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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.