Efficient RNA extraction from isolated exosomes
When you want to extract RNA from already isolated exosomes, choose the ExoQuick Exosome RNA Column Purification Kit. With only SBI’s highly efficient purification columns and reagents, you can keep your downstream RNA processing options open.
How It Works
Simply add the phenol-free exosome lysis buffer to your isolated exosomes and then run through the RNA purification columns. In just three minutes, your highly pure exoRNAs will be ready for the next step, whether it’s processing for qPCR, microanalysis, NGS, or another application.
Better qPCR profiling with the ExoQuick Exosome RNA Column Purification Kit
Figure 1. Serum RNA prepared by the SeraMir Kit delivers more reliable, reproducible qPCR profiles than when the RNA is isolated using conventional Trizol methods. Profiling of 380 Human microRNAs across the SeraMir 384 Profiler. The phenol-free exosome lysis step coupled to the small RNA binding columns isolates exoRNAs with much higher purity than Trizol/Phenol based methods. The SeraMir exoRNAs are compatible with downstream polyadenylation and reverse trancription reactions for amplification and accurate qPCR profiling.
Figure 2. Serum exoRNAs prepared using ExoQuick Exosome RNA Column Purification Kit deliver excellent performance in microarray studies. Samples from a pooled normal serum preparation and from a male caucasian (age 73) with adenocarcinoma of the colon were used in this study. Exosomes were precipitated from 250 µL of serum using the ExoQuick Exosome RNA Column Amplification Kit. The T7-amplified “sense” exoRNAs were then used for direct labeling analyses on LC Sciences miRBase ver.16 array chips (performed in triplicate). The exoRNAs were hybridized across 1,214 different microRNAs on the probe set. Of the 1,214 microRNAs analyzed, 79 microRNAs showed a signal intensity >32. Within this set of 79, there was a clear colon versus normal “signature set” of 40 microRNAs that could discriminate normal from colon cancer serum samples with a p-value < 0.01. The identities of the microRNAs found in this study have been masked while further investigation continues.