Cancer Gene Expression Analysis
In the study of diseases like cancer, it's not enough to know whether a gene is mutated or normal — it's also important to know whether that gene is expressed and where, when, and what effect that expression has. Whole transcriptome analysis of cancer samples is of growing importance in understanding how altered expression of genetic variants contributes to cancer among other diseases. Analysis of genome-wide differential RNA expression provides researchers with greater insights into biological pathways and molecular mechanisms that regulate cell fate, development, and disease progression.
Next generation sequencing and advances in real-time PCR throughput have revolutionized the way differential expression of genes, including gene alleles and differently spliced transcripts; non-coding RNAs; post-transcriptional mutations or editing; and gene fusions are analyzed.
Currently, the most widely used method to analyze global patterns of gene expression is the DNA microarray. However, because microarrays are hybridization-based, you cannot use them to detect RNA transcripts not included in your array design or from repeated sequences. Also, microarrays offer limited dynamic range to detect subtle changes in expression level of target genes, which is critical in understanding biological response to stimuli or environmental changes.
Discover, profile, & functionally analyze more mRNA and NonCoding RNAs that regulate cancer with sequencing technologies that provide significant advantages over microarray and flexible real-time PCR assay formats for meeting high, medium, and low throughput needs.
Gene Expression Profiling-RNA Subpopulations
See the clear picture. Reveal the diversity and subtleties of the transcriptome with Ion RNA-Seq
Whole Transcriptome Sequencing
Gene Expression Analysis by Real-Time PCR
miRNA and Small RNA Expression Analysis by Sequencing
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