Evidence map›Paper›PMID 22798355›Full record

ArticleApplied and environmental microbiology2012

Identification of a p-coumarate degradation regulon in Rhodopseudomonas palustris by Xpression, an integrated tool for prokaryotic RNA-seq data processing.

Somsak Phattarasukol, Matthew C Radey, Colin R Lappala, Yasuhiro Oda, Hidetada Hirakawa, Mitchell J Brittnacher, Caroline S Harwood

Abstract readEvaluation Study
In one paragraph

Article in Applied and environmental microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

7 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

7 authors.

Somsak PhattarasukolDepartment of Microbiology, University of Washington, Seattle, Washington, USA.
Matthew C Radey
Colin R Lappala
Yasuhiro Oda
Hidetada Hirakawa
Mitchell J Brittnacher
Caroline S Harwood

Funding

Variation in Human Innate ImmunityU54AI057141 · NIAID · UNIVERSITY OF WASHINGTON · PI COOKSON, BRAD T · 2003 to 2013
$102.3M
NIAID NIH HHS U54 AI057141
6 · The paper itself

Abstract

High-throughput sequencing of cDNA prepared from RNA, an approach known as RNA-seq, is coming into increasing use as a method for transcriptome analysis. Despite its many advantages, widespread adoption of the technique has been hampered by a lack of easy-to-use, integrated, open-source tools for analyzing the nucleotide sequence data that are generated. Here we describe Xpression, an integrated tool for processing prokaryotic RNA-seq data. The tool is easy to use and is fully automated. It performs all essential processing tasks, including nucleotide sequence extraction, alignment, quantification, normalization, and visualization. Importantly, Xpression processes multiplexed and strand-specific nucleotide sequence data. It extracts and trims specific sequences from files and separately quantifies sense and antisense reads in the final results. Outputs from the tool can also be conveniently used in downstream analysis. In this paper, we show the utility of Xpression to process strand-specific RNA-seq data to identify genes regulated by CouR, a transcription factor that controls p-coumarate degradation by the bacterium Rhodopseudomonas palustris.

Indexed as

RegulonComputational BiologyCoumaric AcidsGene Expression ProfilingHigh-Throughput Nucleotide SequencingMetabolic Networks and PathwaysPropionatesRhodopseudomonasRNA, BacterialSequence Analysis, DNACoumaric Acidsp-coumaric acidPropionatesRNA, Bacterial

Identifiers

PMID22798355
PMCPMC3457485

What OpenQuestion holds

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Read underepoch 390

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.