RealSeq-Biofluids NGS Library Preparation Kit for miRNAs and small RNAs, for total RNA samples from biofluids (Illumina Platform), includes size selection reagent
Low Input at Low Concentrations
Product Description
- RealSeq-Biofluids allows preparation of gel-free sequencing libraries with an RNA input obtained from only 5 µl of plasma (optimal 200 µl)
- RealSeq-Biofluids delivers the highest percentage of usable reads (>15 nt and that align to either miRBase or genome) of the 3 kits tested
- Highly accurate profiling allows the identification of a larger set of cf- miRNAs
- Detection bias inherent in the two-adapter platforms reduces the number of miRNAs identified
- Detection bias also results in the overrepresentation of a few miRNAs that consume the majority of sequencing reads
Workflow
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Supporting Data
Competitor Performance Comparison
Fig.1. The same plasma sample was used to prepare sequencing libraries with three different kits. Graph shows sequencing metrics of libraries prepared with each kit. Short reads correspond to reads <15 nt after adapter trimming; reads passing this filter are then align to a reference file with all human miRNAs (miRBase 21), reads that do not align to miRNAs are then aligned to the human genome (hg19).
Detection of plasma miRNAs with different library preparation kits
Fig.2. Comparison of miRNAs read frequencies of three different library preparation kits (gel-free protocols) from 200 ul plasma samples. Reads were subsampled to 10 million reads per kit and aligned to a reference that includes all human miRNAs listed in miRBase 21 (Miltenyi Biotec). The number of miRNAs detected at different coverage for each library preparation kit is shown. Especially low copy-number miRNAs are significantly more sequenced when the RealSeq® - biofluids kit was used for library preparation.
Product Citations
- Androvic, P., et al. (2022) Small RNA-Sequencing for Analysis of Circulating miRNAs: Benchmark Study J. Mol. Diagn.
- Carro Vázquez, D. et al. (2022) Effect of Anti-Osteoporotic Treatments on Circulating and Bone MicroRNA Patterns in Osteopenic ZDF Rats International Journal of Molecular Sciences
- Fernandez GJ, Ramírez-Mejía JM, Urcuqui-Inchima S. (2022) Vitamin D boosts immune response of macrophages through a regulatory network of microRNAs and mRNAs. J. Nutr. Biochem.
- Gutmann, C., et al. (2022) Association of cardiometabolic microRNAs with COVID-19 severity and mortality. Cardiovascular Research
- Hacquard, T, Marion Clavel, Patricia Baldrich, Esther Lechner, et al. (2022) The Arabidopsis F-box protein FBW2 targets AGO1 for degradation to prevent spurious loading of illegitimate small RNA. Cell Reports
- Catalog Number
600-00012-SOM - Supplier
RealSeq Biosciences - Size
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