The challenge: small RNA-sequencing, especially for challenging input samples such as biofluids, exosomes, or low cell numbers, is prone to sequencing bias. In addition, the comparison of microRNAs and other small RNAs between sample types with differing RNA compositions is skewed based on the assumption of a constant amount of small RNAs per sample (the underlying hypothesis for reads per million (RPM) normalization).
Our solution: miND® Spike-Ins are a novel quality control parameter and normalizer that consists of seven oligonucleotides, each characterized by a unique core sequence flanked by 4 randomized nucleotides. miND® Spike-Ins are provided in a specific ratio to cover the broad concentration range of endogenous small RNAs.
Simplicity: miND® Spike-Ins come as ready-to-use reagents. No dilution, mixing, or change in your workflow is required – miND® spike-ins are directly added to your RNA sample and used for NGS library preparation.
Sample-to-insight: our public data analysis pipeline was specifically developed to convert small RNA-sequencing raw data into a simple but comprehensive report providing full access to your data in the conventional way (RPM, read count) as well as in absolute concentrations. On top of that, we have added several unsupervised and supervised analyses and QC parameters to the report.
Not familiar with small RNA-sequencing?
The entire miND small RNA-seq workflow is provided as a service by TAmiRNA