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iQuant™ microRNA Assay Kit

Introduction

The iQuant™ microRNA Assay Kit is ideal for quantification of small RNA, including microRNA and siRNA, and both single stranded and double stranded RNA. The assay kit is highly selective for small RNA over rRNA or large mRNA.  The assay kit offers advantages in stability, linear dynamic range, and sensitivity over other traditional of RNA quantitation. The assay kit contains concentrated quantitation reagent, dilution buffer, and pre-diluted microRNA 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 microRNA with iQuant™ microRNA Assay Kit using fluorescence plate reader. Right: Quantitation of microRNA with iQuant™ microRNA Assay Kit using Qubit® Fluorometer.

Specifications:

Sample Type: microRNA
Platform: Fluorescence plate reader or fluorometer
Linear Range: 0.5-150 ng microRNA

 

Applications

microRNA quatitation in solution (Figure 2).

Figure 2. iQuant™ microRNA assay workflow

To Order

Buy Cat. No. Product Name Sensitivity Unit Size Price
N023 iQuant™ microRNA Assay Kit 0.5-150 ng 200 assays $65
N024 1,000 assays $200

Documents

 

Protocol (PDF): N023 N024
MSDS (PDF):  MSDS-N023 MSDS-N024
COA (PDF): COA-N023 COA-N024


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