Nucleic Acid Detection

Nucleic acid detection is a critical technique used to identify and quantify DNA and RNA sequences in various samples, playing a vital role in genomics, molecular biology, and diagnostics. This method encompasses a range of technologies, including polymerase chain reaction (PCR), quantitative PCR (qPCR), and next-generation sequencing (NGS), which allow for the sensitive and specific detection of genetic material. Nucleic acid detection is essential for applications such as pathogen identification, genetic disorder screening, and cancer research. GD³ provide specialized nucleic acid detection services that cater to the diverse needs of our clients, ensuring high-quality results and supporting advancements in research and clinical applications.

• Real-time PCR analysis

  With optimized protocols, we conduct sensitive and specific real-time PCR analyses on purified nucleic acid samples (qPCR for DNA, qRT-PCR for RNA) to assess gene copy number (absolute quantification) or normalized gene expression (relative quantification). Experiments include assay design and validation, sample testing, and data analysis.

  

  Figure 1. Total RNAs were extracted from the mouse brain, heart, kidney, liver, and lung using the RNeasy mini kit. 15 ng of RNA was then used to perform a TaqMan probe quantitative RT-PCR for the mouse housekeeping gene, β-actin (Actb) on the Bio-Rad CFX Opus 96 Real-time PCR system.
• Next-Generation Sequencing – RNASeq

  Differential gene expression (DGE) analysis of control and treated datasets can lead to key clues and conclusions for several different experiments and research. Our RNA sequencing capabilities allow us to assess these transcriptome-level differences as well as report back vital information, such as alternative splicing, gene fusions, and mutations. Specialized analyses such as xenograft model separation and mutational burden are available upon request.

  

  Figure 2. RNASeq Workflow Summary

  

  Figure 3: Volcano Plot Analysis. Log-adjusted p-values and fold change were graphed and significant genes were marked as upregulated or downregulated.