Microarray Chip and Microarray Analysis

Microarray analysis is often involved in the fabrication and application of microarray chips. Unlike DNA sequencing and genotyping, the analytes for different types of microarrays gene expression analysis are messenger RNAs. Messenger RNAs are much more unstable than RNA and require very high manipulation to avoid artifacts due to degradation by RNase enzymes. In most microarray analyses, cDNA is formed by reverse transcription.

Ⅰ. Microarrays for cytogenetic analysis

1. Cytogenetic analysis microarray detection

Complete microarrays and kits for genome-wide analysis. Microarrays are commonly used to detect structural variations and accurately analyze chromosomal aberrations that lead to disease. Microarrays and kits provide robust and reliable low- and high-throughput processing methods.

2. Cytogenetics suite provides balanced genome-wide coverage

Cytogenetics Kit arrays provide an optimal balance of polymorphic and non-polymorphic probes compared to other probes that lack the ability to obtain true balanced genome-wide coverage due to limitations in probe density, reproducibility, and placement , for comprehensive coverage of cytogenetics applications.

Ⅱ. Microarrays can be used for transcriptome profiling

Phenotypic abnormalities are rarely the result of changes in the expression of a single gene, thus generating comprehensive expression profiles is critical when studying normal biological and disease processes. In addition, important expression changes, such as differential exon usage due to alternative splicing events, may be masked during gene-level profiling. Microarrays offer the great advantage of detecting millions of different sequences simultaneously, making the technology immune to problems encountered in detecting and measuring low-abundance transcripts or rare alternative splicing events.

Arrays provide broad coverage of coding and non-coding genes with arrays and assays designed to measure the 3' end of the poly-A component of the transcriptome, or with Transcript-wide assays and arrays designed to provide coverage of all transcribed exons across a gene.

Whole-transcript profiling methods allow researchers to examine not only expression levels, but also expression content, including alternative isoforms or genomic deletions. This provides new insights into solutions to problems that cannot be solved with classical 3'-end-based microarrays.

Assays provide a detailed view of the transcriptome, taking the fastest path to actionable results. Assays are available for human, mouse, and rat, allowing transcriptional research scientists to quickly and easily generate high-fidelity biomarker signatures.

Ⅲ. Copy number analysis using microarrays

Microarrays are the microarray platform of choice for detecting DNA structural variations (SVs) such as chromosomal insertions, duplications, and deletions. In addition to these copy number variations (CNVs), genome-wide arrays covering both polymorphic (SNP) and non-polymorphic regions can additionally detect Chromosomal imbalance and allelic imbalance in homozygous long continuous stretch (LCSH).

Ⅳ. Human genotyping using microarray chips

Genotyping Solutions offers a uniquely flexible choice of customizable or predesigned arrays with imputation designs covering a wider range of populations than any other technology. Proprietary photolithographic arrays help ensure fidelity and consistency between production lots, keeping designs available for as long as users need them. All arrays have access to fill-optimized designs that combine GWAS, replication, and fine-mapping in the same study. It is the only genotyping solution that offers a choice of more than 10 million fully annotated markers validated by conventional molecular biology laboratories, allowing researchers to easily and affordably create arrays optimized for their application design.

Ⅴ. Microarray and GBS solutions for agricultural genomics

The Agrigenomics Genotyping Solution provides breeders and researchers with powerful genotyping tools and a flexible range to validate, identify, and screen for complex genetic traits in plants and animals. Robust, reproducible, and scalable product portfolio that facilitates marker-assisted selection, genome-wide association studies, quantitative trait locus analysis, parent-offspring relationships, and these will help you fast-track your genomic selection program.