Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

A novel aCGH method for non-model organisms for assessing genomes and de-novo transcriptome sequencing reads (Staphylococcus aureus)


ABSTRACT: Genomes and transcriptomes of non-model organisms can be analyzed using next-generation sequencing technologies, but de-novo sequencing and annotating a full eukaryotic genome is still challenging. So, -omics experimentation with non-model organisms requires a suite of technologies to obtain reliable results in a cost-effective manner. Here, a novel method for microarray-based genome analysis is presented which is especially suitable for non-model organisms. We show that it is useful for complementing regular aCGH analyses and for evaluating transcriptome next-generation sequencing reads. The principle of the method is straightforward: feature intensities obtained after hybridizing the test genome are compared with the feature intensities of a control hybridization. The control hybridization is performed with negative control probes (no targets in the control sample), and with positive control probes (with targets in the control sample). The method has in principle a resolution of a single probe and it does not depend on the structural information of a reference genome: the genomic ordering of probe targets is irrelevant. In a test, analyzing the genome content of a sequenced bacterial strain: Staphylococcus aureus MRSA252, this approach proved to be successful demonstrated by receiver operating characteristic area under the curve values larger than 0.9995. DNA from eleven Staphylococcus aureus strains was extracted in three replicates, fragmented, and hybridized onto the S. aureus multistrain microarray. DNA from MRSA252 was used as common reference, but this channel was omitted in further analyses.

ORGANISM(S): Staphylococcus aureus

SUBMITTER: Paul Wackers 

PROVIDER: E-GEOD-51148 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Absence/presence calling in microarray-based CGH experiments with non-model organisms.

Jonker Martijs J MJ   de Leeuw Wim C WC   Marinković Marino M   Wittink Floyd R A FR   Rauwerda Han H   Bruning Oskar O   Ensink Wim A WA   Fluit Ad C AC   Boel C H CH   Jong Mark de Md   Breit Timo M TM  

Nucleic acids research 20140425 11


Structural variations in genomes are commonly studied by (micro)array-based comparative genomic hybridization. The data analysis methods to infer copy number variation in model organisms (human, mouse) are established. In principle, the procedures are based on signal ratios between test and reference samples and the order of the probe targets in the genome. These procedures are less applicable to experiments with non-model organisms, which frequently comprise non-sequenced genomes with an unknow  ...[more]

Similar Datasets

2014-05-19 | E-GEOD-52121 | biostudies-arrayexpress
2014-05-19 | E-GEOD-52122 | biostudies-arrayexpress
2014-09-01 | E-GEOD-51347 | biostudies-arrayexpress
2014-09-01 | E-GEOD-51348 | biostudies-arrayexpress
2013-05-27 | E-GEOD-47221 | biostudies-arrayexpress
2014-04-26 | E-GEOD-57084 | biostudies-arrayexpress
2014-09-01 | E-GEOD-50930 | biostudies-arrayexpress
2013-11-28 | E-GEOD-45824 | biostudies-arrayexpress
2012-07-12 | E-GEOD-34050 | biostudies-arrayexpress
2012-07-12 | E-GEOD-34101 | biostudies-arrayexpress