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Qiaseq mirna library construction kit

Manufactured by Qiagen

The QiaSeq miRNA library construction kit is a laboratory equipment product designed for the preparation of small RNA libraries for next-generation sequencing. The kit provides the necessary reagents and protocols to enable the isolation, purification, and conversion of small RNA molecules into sequencing-ready libraries.

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2 protocols using qiaseq mirna library construction kit

1

miRNA Library Prep with Peptide-Modified RNA

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Purified, lyophilized peptide-modified preEM-let-7f was resuspended in LC-MS grade water and quantified via optical density measurement at 260 nm. The QiaSeq miRNA library construction kit (Qiagen, Cat#331502) was used to generate a library from ∼100ng of peptide-modified RNA using the standard protocol, incorporating 16 cycles of PCR. For quality assurance, Tape Station High Sensitivity tape is run on the Tape Station 2200 from Agilent. Additionally, a qPCR run was completed using the Kapa Library Quantification Kit (Kapa, KK4824) with a standard 0 for normalization. Generated libraries were pooled together in equimolar proportions and were denatured per standard Illumina protocol. Sequencing was performed on an Illumina MiSeq with Nano protocol at 6 pM with 50% PhiX for a read length of PE 75 and depth of up to 1 million reads.
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2

Exosomal miRNA extraction and sequencing

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Trizol reagent (1 mL) was added to the exosome suspension, and RNA was extracted following the Trizol reagent manual. The RNA was precipitated in 1:1 isopropanol (v/v) and 1 µL glycogen at −20 °C overnight. An exosomal miRNA library was constructed with a QIAseq miRNA library construction kit (QIAGEN) used in accordance with the manufacturer’s instructions. Libraries were sequenced on an Illumina HiSeq-2500 sequencer for 50 cycles. Reads that passed the Illumina quality filters were retained for analysis. Adapters were trimmed from the reads and reads shorter than 17 nt were discarded. The remaining reads were then mapped to the miRBase human miRNA reference database using the FANSe3 algorithm on the Chi-Cloud NGS Analysis Platform (Chi-Biotech Co. Ltd., Shenzhen, China) (21 (link)).
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