Low Abundance RNA Quantification Kit
PCR-based detection procedure to quantify RNA over a wide dynamic range of concentrations
For research use only and NOT intended for in vitro diagnostics.
Low Abundance RNA Quantification Kit
PCR-based detection procedure to quantify RNA over a wide dynamic range of concentrations
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Overview
- Quantify RNA of a wide spectrum of concentrations, including the lower ng per µL and pg per µL range
- Compatible with any Real-Time PCR system
- RNA is accurately quantified using a standard curve constructed from the provided RNA standard
Norgen’s Low Abundance RNA Quantification Kit offers a PCR-based detection procedure to quantify RNA of a wide spectrum of concentrations, including the lower ng per µL and pg per µL range. The kit has two main enzymatic components – reverse transcription using Norgen’s microScript Reverse Transcription system and PCR Master Mix used in conjunction with a specially formulized primer mixture, to amplify human RNA from different types of inputs (such as various liquid biopsies). The kit contains a fluorescent DNA dye, and is compatible with any Real-Time PCR system with FAm/SYBR Green detection. The unknown RNA is accurately quantified by using a standard curve constructed from the provided RNA Standard.
Details
Supporting Data
Storage Conditions
Upon receipt, store Norgen’s Low Abundance RNA Quantification Kit at -20°C or lower. Avoid multiple freeze-thaw cycles. If needed, prepare smaller working aliquots and store at -20°C or lower.
Component | Cat. 58900 (48 reactions) |
---|---|
microScript microRNA Enzyme Mix | 20 μL |
2x microScript Reverse Transcriptase Reaction Mix | 0.5 mL |
2X Real-Time PCR Master Mix | 1 mL |
RNA Quantification Primer Set Mix | 200 μL |
Quantified RNA Standard 50 pg/μL | 2 x 60 μL |
Nuclease-Free Water | 3 x 1.25 mL |
Product Insert | 1 |
Documentation
Citations
Title | DNA-PKcs promotes sepsis-induced multiple organ failure by triggering mitochondrial dysfunction |
Journal | Journal of Advanced Research. 2022. |
Authors | Rongjun Zou, Jun Tao, Junxiong Qiu, Huimin Lu, Jianhua Wu, Hang Zhu, Ruibing Li, David Mui, Sam Toan, Xing Chang, Hao Zhou, Xiaoping Fan |