Sven Koglin (RWTH Aachen, Germany) provided information on the use of microarrays and RNA sequencing to investigate how the hepatic transcriptional profile of a non-model fish species, roach (Rutilus rutilus), responds to a variety of dioxin-like compounds.
The results described here provide a blueprint for the eventual use of microarrays and sequencing as routine diagnostic tools for pathogens in clinical and public health laboratories.
There are additional approaches that combine the use of microarrays and restriction digests such as diversity array technology (DArT) [5] and restriction site associated DNA (RAD) tags [6] to assay up to several thousand markers.
We expect that similar use of microarrays and advanced bioinformatics will greatly enhance our understanding of pathophysiological mechanisms in various erythroid diseases involving abnormal genetic regulation of erythropoiesis (i.e., aplastic anemia or polycythemia vera), as well as erythrocyte-related dysfunction or hemoglobinopathies (i.e., hemolytic anemia, sickle cell disease).
It will be of considerable use to anyone considering employing microarray experiments as well as those who need to troubleshoot previous use of microarrays and accompanying statistical evaluations.
Jaksik et al. have written a review article on the use of microarrays and the cautions and complications of using the results of them to evaluate research data.
Hence, whilst the use of microarrays and NGS in genomic analysis will likely continue to be complementary [ 10], we here describe work specifically aimed at optimizing genomic deletion mutation detection via microarray-based approaches.
In general, the increasing use of microarrays and RNA-Seq has deepened our knowledge of gene expression patterns in multiple tissues or in different conditions such as metamorphosis and immune response, and facilitated the identification of miRNAs [ 27].
The widespread use of microarrays and next-generation sequencing is an epitome of high-throughput techniques, which produce massive amounts of omics data on cotton and offer biologists new ideas for cotton functional genomics research.
Increased use of microarrays and NGS in the future would be anticipated, given its suitability for detecting threats from multiple emerging vector-borne diseases such as chikungunya and dengue (2 ).
