Literature DB >> 27038308

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

Claudine Deloménie1, Guido Grentzmann2, Nathalie Oestreicher3,4, Robin Mesnage5,6, Christian Vélot3,4,6.   

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.

Entities:  

Keywords:  Aspergillus nidulans; Microarray; Oligonucleotide probe design; RT-qPCR; Transcriptome analysis

Mesh:

Year:  2016        PMID: 27038308     DOI: 10.1007/s00294-016-0597-z

Source DB:  PubMed          Journal:  Curr Genet        ISSN: 0172-8083            Impact factor:   3.886


  57 in total

1.  Microarray probe selection strategies.

Authors:  S Tomiuk; K Hofmann
Journal:  Brief Bioinform       Date:  2001-12       Impact factor: 11.622

2.  The genetics of Aspergillus nidulans.

Authors:  G PONTECORVO; J A ROPER; L M HEMMONS; K D MACDONALD; A W J BUFTON
Journal:  Adv Genet       Date:  1953       Impact factor: 1.944

3.  AutoDimer: a screening tool for primer-dimer and hairpin structures.

Authors:  Peter M Vallone; John M Butler
Journal:  Biotechniques       Date:  2004-08       Impact factor: 1.993

4.  Quantitative monitoring of gene expression patterns with a complementary DNA microarray.

Authors:  M Schena; D Shalon; R W Davis; P O Brown
Journal:  Science       Date:  1995-10-20       Impact factor: 47.728

5.  Differences in gene expression profiles between human preimplantation embryos cultured in two different IVF culture media.

Authors:  Sander H M Kleijkers; Lars M T Eijssen; Edith Coonen; Josien G Derhaag; Eleni Mantikou; Martijs J Jonker; Sebastiaan Mastenbroek; Sjoerd Repping; Johannes L H Evers; John C M Dumoulin; Aafke P A van Montfoort
Journal:  Hum Reprod       Date:  2015-07-22       Impact factor: 6.918

6.  Survey of Aspergillus section Flavi presence in agricultural soils and effect of glyphosate on nontoxigenic A. flavus growth on soil-based medium.

Authors:  C S Carranza; M V Bergesio; C L Barberis; S M Chiacchiera; C E Magnoli
Journal:  J Appl Microbiol       Date:  2014-02-14       Impact factor: 3.772

7.  Aspergillus flavus expressed sequence tags and microarray as tools in understanding aflatoxin biosynthesis.

Authors:  J Yu; T E Cleveland; J R Wilkinson; B C Campbell; J H Kim; H S Kim; D Bhatnagar; G A Payne; W C Nierman
Journal:  Mycotoxin Res       Date:  2006-03       Impact factor: 3.833

8.  Comparison of gene expression signatures of diamide, H2O2 and menadione exposed Aspergillus nidulans cultures--linking genome-wide transcriptional changes to cellular physiology.

Authors:  István Pócsi; Márton Miskei; Zsolt Karányi; Tamás Emri; Patricia Ayoubi; Tünde Pusztahelyi; György Balla; Rolf A Prade
Journal:  BMC Genomics       Date:  2005-12-20       Impact factor: 3.969

9.  Functional characterization of Aspergillus nidulans ypkA, a homologue of the mammalian kinase SGK.

Authors:  Ana Cristina Colabardini; Neil Andrew Brown; Marcela Savoldi; Maria Helena S Goldman; Gustavo Henrique Goldman
Journal:  PLoS One       Date:  2013-03-05       Impact factor: 3.240

10.  Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes.

Authors:  Jo Vandesompele; Katleen De Preter; Filip Pattyn; Bruce Poppe; Nadine Van Roy; Anne De Paepe; Frank Speleman
Journal:  Genome Biol       Date:  2002-06-18       Impact factor: 13.583

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  1 in total

Review 1.  Current Practices for Reference Gene Selection in RT-qPCR of Aspergillus: Outlook and Recommendations for the Future.

Authors:  Meagan Archer; Jianping Xu
Journal:  Genes (Basel)       Date:  2021-06-24       Impact factor: 4.096

  1 in total

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