Home » Nucleic Acid Quantitation » iQuant™ RNA BR Assay Kit

 

iQuant™ RNA BR Assay Kit

Introduction

The iQuant™ RNA BR Assay Kit is designed specifically for an easy and accurate quantitation of RNA. The kit is highly selective for RNA in the prescent of DNA, and offers advantages in stability, linear dynamic range, and sensitivity over other traditional of RNA quantitation. The kit contains concentrated quantitation reagent, dilution buffer, and pre-diluted RNA standards. Simply dilute the reagent using the buffer provided, add your sample (any volume between 1 µl and 20 µl is acceptable), and read the fluorescence using fluorescence plate reader or Fluorometer (Figure 1). The assay is well tolerated to common contaminants such as proteins, salts, solvents, detergents, or free nucleotides. The assay can be adapted for use in microplates, tubes or cuvettes.
 


Figure 1. Left: Quantitation of ribosomal RNA with iQuant™ RNA BR Assay Kit using fluorescence plate reader. Right: Quantitation of ribosomal RNA with iQuant™ RNA BR Assay Kit using Qubit® Fluorometer.

 

Specifications:

Sample Type: RNA
Platform: Fluorescence plate reader or fluorometer
Linear Range: 20-1000 ng RNA

Applications

RNA quatitation in solution (Figure 2).


Figure 2. iQuant™ RNA BR assay workflow

To Order

Buy Cat. No. Product Name Sensitivity Unit Size Price
N018 iQuant™ RNA BR Assay Kit 20-1000 ng 200 assays $65
N019 iQuant™ RNA BR Assay Kit 20-1000 ng 1,000 assays $200

 
 

 

Documents

 

Protocol (PDF): N018 N019
MSDS (PDF):  MSDS-N018 MSDS-N019
COA (PDF): COA-N018 COA-N019


Cited Reference:

Efficacy of siRNA-loaded nanoparticles in the treatment of K-RAS mutant lung cancer in vitro
Ayse Gencer, Ipek Baysal, Emirhan Nemutlu, Samiye Yabanoglu-Ciftci & Betul Arica
Journal of Microencapsulation, 2022, 39:3, 261-275, DOI: 10.1080/02652048.2022.2061058


Genomic characterization of SARS-CoV-2 isolates from patients in Turkey reveals the presence of novel mutations in spike and nsp12 proteins
Sahin, E., Bozdayi, G., Yigit, S., Muftah, H., Dizbay, M., Tunccan, O. G., … Caglar, K.
Journal of Medical Virology, 93(10), 6016–6026. doi:10.1002/jmv.27188


Effects of personalized diets by prediction of glycemic responses on glycemic control and metabolic health in newly diagnosed T2DM: a randomized dietary intervention pilot trial
Rein, M., Ben-Yacov, O., Godneva, A. et al.
BMC Med 20, 56 (2022). https://doi.org/10.1186/s12916-022-02254-y


Personalized Postprandial Glucose Response–Targeting Diet Versus Mediterranean Diet for Glycemic Control in Prediabetes
Orly Ben-Yacov, Anastasia Godneva, Michal Rein, Smadar Shilo, Dmitry Kolobkov, Netta Koren, Noa Cohen Dolev, Tamara Travinsky Shmul, Bat Chen Wolf, Noa Kosower, Keren Sagiv, Maya Lotan-Pompan, Niv Zmora, Adina Weinberger, Eran Elinav, Eran Segal
Diabetes Care 1 September 2021; 44 (9): 1980–1991. https://doi.org/10.2337/dc21-0162


Six genetically linked mutations in the CD36 gene significantly delay the onset of Alzheimer's disease
Sery, O., Zeman, T., Sheardová, K. et al.
​Sci Rep 12, 10994 (2022). https://doi.org/10.1038/s41598-022-15299-z