miND spike in

miND® Spike-In

miND® Spike-Ins represent a proprietary oligonucleotide mix with unique design features (Lutzmayer et al.) that is added to your RNA samples prior to microRNA or small RNA next-generation sequencing (NGS) analysis. We have optimized the sequence composition and concentration range to be compatible with almost any species and a broad range of sample types including biofluids (serum, plasma, urine, CSF, Synovial fluid), cells, tissues, and extracellular vesicles (Khamina et al.).

miND® Spike-Ins fulfill two purposes:

  1. Quality control of small RNA-sequencing experiments: confirm the high dynamic range and quantitativeness of the run
  2. Absolute normalization of small RNA read counts as copies/µl total RNA rather than reads per million (RPMs) to reduce bias originating from variation in RNA composition between samples.

miND® Spike-In

Product is coming out soon.

Get in touch with us if you are interested in Beta-testing miND® Spike-Ins in your small RNA-sequencing setting.

Contact us if you would like us to analyze your samples using our validated small RNA-sequencing workflow as a service.

miND spike in

miND® Spike-In

The product is coming out soon.

Get in touch with us if you are interested in Beta-testing miND® Spike-Ins in your small RNA-sequencing setting.

Contact us if you would like us to analyze your samples using our validated small RNA-sequencing workflow as a service.

miND spike in

benefits

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

how does it work?

miND_workflow

product description

  • 7 unique core sequenced mixed in a specific proportions to cover a wide range of endogenous microRNAs
  • Each unique core sequence consists of 13 nt that doesn’t match the genome of interest
  • The core sequence is flanked by a set of 4 randomized nucleotides on both 5’ and 3’ ends
  • Each of these 13 nt unique core sequences can be represented by up to 65,536 possible 21 nt sequences
  • The miND spike-in contains up to 458,752 unique oligonucleotides

key publications

  • A MicroRNA Next-Generation-Sequencing Discovery Assay (miND) for Genome-Scale Analysis and Absolute Quantitation of Circulating MicroRNA Biomarkers Khamina K, Diendorfer A, Skalicky S, et al. Int. J. Mol. Sci. 2022, 23(3), 1226; https://doi.org/10.3390/ijms23031226 
  • miND (miRNA NGS Discovery pipeline): a small RNA-seq analysis pipeline and report generator for microRNA biomarker discovery studies Diendorfer A, Khamina K, Pultar M and Hackl M. F1000Research 2022, 11:233, 1226; https://doi.org/10.12688/f1000research.94159.1 
  • Novel small RNA spike-in oligonucleotides enable absolute normalization of small RNA-Seq data Lutzmayer S, Enugutti B and Nodine MD. Sci Rep. 2017 Jul 19;7(1):5913. doi: 10.1038/s41598-017-06174-3.

downloads

miND Folder
microRNA Biomarkers of Bone Quality
small RNA sequencing service
miND spike in