Evidence map›Paper›PMID 23230834›Full record

ArticleAnnals of the New York Academy of Sciences2012

The diverse applications of RNA-seq for functional genomic studies in Aspergillus fumigatus.

Antonis Rokas, John G Gibbons, Xiaofan Zhou, Anne Beauvais, Jean-Paul Latgé

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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.

Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, Tennessee, USA. antonis.rokas@vanderbilt.edu
John G Gibbons
Xiaofan Zhou
Anne Beauvais
Jean-Paul Latgé

Funding

Characterizing the genomic patterns of variation in the fungal pathogen AspergillF31AI091343 · NIAID · VANDERBILT UNIVERSITY · PI GIBBONS, JOHN G · 2010 to 2011
$55k
NIAID NIH HHS F31 AI091343NIAID NIH HHS F31AI091343-01
6 · The paper itself

Abstract

The deep sequencing of an mRNA population, RNA-seq, is a very successful application of next-generation sequencing technologies (NGSTs). RNA-seq takes advantage of two key NGST features: (1) samples can be mixtures of different DNA pieces, and (2) sequencing provides both qualitative and quantitative information about each DNA piece analyzed. We recently used RNA-seq to study the transcriptome of Aspergillus fumigatus, a deadly human fungal pathogen. Analysis of the RNA-seq data indicates that there are likely tens of unannotated and hundreds of novel genes in the A. fumigatus transcriptome, mostly encoding for small proteins. Inspection of transcriptome-wide variation between two isolates reveals thousands of single nucleotide polymorphisms. Finally, comparison of the transcriptome profiles of one isolate in two different growth conditions identified thousands of differentially expressed genes. These results demonstrate the utility and potential of RNA-seq for functional genomics studies in A. fumigatus and other fungal human pathogens.

Indexed as

Sequence Analysis, RNAAspergillus fumigatusBase SequenceGenes, FungalMolecular Sequence DataRNA, FungalTranscriptomeRNA, Fungal

Identifiers

PMID23230834
PMCPMC3531914

What OpenQuestion holds

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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.