Download the manual
Note: The D-Plex Small RNA-seq Kit manual describes now the protocol for both UDI and SI library constructions.
D-Plex Small RNA-seq Library Prep Kit is a tool designed for the study of the small non-coding transcriptome. The kit is using the D-Plex technology to generate small RNA libraries for Illumina sequencing directly from total RNAs or enriched small RNAs.
The D-Plex technology utilizes two innovative ligation-free mechanisms - poly(A) tailing and template switching - to produce sequencing libraries from ultra-low input amounts, down to 10 pg for small RNAs and 100 pg for total RNAs. Combined with unique molecular identifiers (UMI), this complete solution ensures a realistic and accurate representation of diverse small RNA species (such as microRNAs, piRNAs, tRNAs, and siRNAs) with minimized quantitative bias.
D-Plex Small RNA-seq Kit offers a time saving protocol that can be completed within 5 hours and requires minimal hands-on time. The library preparation takes place in a single tube, increasing the efficiency tremendously. This new solution has been extensively validated for liquid biopsy, such as from human plasma, making it an important tool for clinically-relevant studies.
D-Plex Small RNA-seq Kit includes all buffers and enzymes necessary for the library preparation. Specific D-Plex Indexes were designed and validated to fit the D-Plex technology and are available separately:
For D-Plex UDI library construction:
For D-Plex SI library construction:
D-Plex is also available for MGI sequencing, check here!
Focused on your target
Catch all kind of small non-coding RNAs with D-Plex Small RNA-seq Kit.
Get rich content
One day to enrich your sample with a large variety of small RNAs in one tube. Identify your reads accurately with UMIs.
Independent of your input amount -- go down to 10 pg small RNA as a starting amount.
Raise your quality output
Get the best of your data -- use our designed bioinformatics pipeline and guidelines. We provide everything you need to greatly simplify your analysis.
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Diagenode has collaborated with Andreas Keller and Tobias Fehlmann to develop a new bioinformatics pipeline in order to allow novel miRNA prediction.
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