Discover Novel Gene Expression Linkages to Develop Strategies For Diagnosis, Prevention and Treatment
Accelerate your oncology research or drug development program using the HTG EdgeSeq targeted gene expression profiling for RNA and miRNA targets. Our extraction-free chemistry provides results in less time, using less material compared to non-targeted gene expression profiling platforms such as RNA-Seq. Our platforms offer several different oncology gene panels to help target your research programs and take advantage of the HTG EdgeSeq Reveal signatures.
Quickly Identify Biomarker Using Differential Gene Expression Analysis
Compare Cohorts to Identify Key Genes and Pathway Differences
Comparison of gene expression between study cohorts is a powerful method to identify biomarkers and molecular pathways. Once identified, biomarkers can be combined to create a signature which can then be applied to other cohort samples. In addition, the identification of molecular pathways can be useful for cohort comparison to identify gene networks involved.
Discovery to Diagnostics on a Single Platform
Use the HTG EdgeSeq Oncology Panels to take your biomarker research from discovery through to diagnostics on the same platform. Our expertly curated and fully validated panels have the genes you need to get your program up and running quickly and with confidence.
Stratify Cohorts From Clinical Samples Using Differential Gene Expression
Molecular biomarker signatures based on gene expression profiling are a commonly used method for sample comparison. The HTG EdgeSeq Panels were designed to generate biomarker signatures using gene expression profiling to enable researchers to stratify cohorts.
Predict Outcomes Using Gene Expression Signatures
The HTG EdgeSeq Reveal signatures are fully validated gene expression-based signatures that can be used to identify hot/cold tumors, the relative abundance of immune cell types and determine the Cell of Origin for DLBCL. The HTG EdgeSeq Reveal Software contains panel specific QC metrics to give researchers confidence in their results.