Evidence map›Paper›PMID 27038308›Full record

ArticleCurrent genetics2016

Development and validation of a custom microarray for global transcriptome profiling of the fungus Aspergillus nidulans.

Claudine Deloménie, Guido Grentzmann, Nathalie Oestreicher, Robin Mesnage, Christian Vélot

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Article in Current genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Claudine DeloménieUMS IPSIT, Plateforme Trans-Prot, Faculté de Pharmacie, Univ. Paris-Sud, Université Paris-Saclay, 5 rue Jean-Baptiste Clément, 92296, Châtenay-Malabry, France. claudine.delomenie@u-psud.fr.ORCID http://orcid.org/0000-0002-6326-966X
Guido GrentzmannPharmaBioServices, 1 square du Cèdre, 91370, Verrières-Le-Buisson, France.
Nathalie OestreicherLaboratoire VEAC, Faculté des Sciences, Univ. Paris-Sud, Université Paris-Saclay, Bât. 360, Rue du Doyen André Guinier, 91405, Orsay, France.
Robin MesnageGene Expression and Therapy Group, Department of Medical and Molecular Genetics, Faculty of Life Sciences and Medicine, King's College London, 8th Floor, Tower Wing, Guy's Hospital, Great Maze Pond, London, SE1 9RT, UK.
Christian VélotLaboratoire VEAC, Faculté des Sciences, Univ. Paris-Sud, Université Paris-Saclay, Bât. 360, Rue du Doyen André Guinier, 91405, Orsay, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transcriptome profiling is a powerful tool for identifying gene networks from whole genome expression analysis in many living species. Here is described the first extensively characterized platform using Agilent microarray technology for transcriptome analysis in the filamentous fungus Aspergillus (Emericella) nidulans. We developed and validated a reliable gene expression microarray in 8 × 15 K format, with predictive and experimental data establishing its specificity and sensitivity. Either one or two 60-mer oligonucleotide probes were selected for each of 10,550 nuclear as well as 20 mitochondrial coding sequences. More than 99 % of probes were predicted to hybridize with 100 % identity to their aimed specific A. nidulans target only. Probe sensitivity was supported by a highly narrow distribution of melting temperatures together with thermodynamic features, which strongly favored probe-target perfect match hybridization, in comparison with predicted secondary structures. Array quality was evaluated through transcriptome comparison of two A. nidulans strains, differing by the presence or not of Escherichia coli LacZ transgene. High signal-to-noise ratios were measured, and signal reproducibility was established at intra-probe and inter-probe levels. Reproducibility of microarray performances was assessed by high correlation between two-color dye signals and between technical replicates. Results were confirmed by RT-qPCR analysis on five genes. Though it covers 100 % of the A. nidulans targeted coding sequences, this low density array allows limited experimental costs and simplified data analysis process, making it suitable for studying gene expression in this model organism through large numbers of experimental conditions, in basic, biomedical or industrial microbiology research fields.

Indexed as

TranscriptomeAspergillus nidulansComputational BiologyGene Expression ProfilingGenomicsOligonucleotide Array Sequence AnalysisReproducibility of ResultsSensitivity and SpecificitySignal-To-Noise RatioAspergillus nidulansMicroarrayOligonucleotide probe designRT-qPCRTranscriptome analysis

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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.