Sensitivity meets speed

Generate stranded mRNA libraries in under 5 hours with fewer handling and cleanup steps. Designed with automation in mind, the kit comes with generous overages and leverages on-bead washing steps during poly(A) selection to reduce resuspension and wash times, as well as consumable use.

Use a single, flexible workflow to process a broad RNA input range (2.5 ng to 1 µg), without the need for specialized low-input solutions that fail to maintain strand origin information. The Watchmaker mRNA Library Prep Kit delivers highly complex libraries for superior gene detection sensitivity — even with challenging low-input samples.

Key Benefits

  • Construct stranded mRNA libraries in under 5 hours – enabling completion in a single workday
  • Improve library complexity and gene detection sensitivity with challenging low-input samples
    (down to 2.5 ng)
  • Easily automate with on-magnet washes, fewer cleanup and handling steps,
    as well as generous overages
  • Leverage a novel reverse transcriptase tailored specifically for RNA sequencing

Working with FFPE or blood
or interested in lncRNAs?

Watchmaker RNA Library Prep Kit
with Polaris Depletion


  • Gene expression analysis
  • Gene fusion detection
  • Isoform/alternative splicing analysis
  • Novel transcript discovery
  • Single nucleotide variant (SNV) detection
  • Pathway analysis

Illustrative differential gene expression analysis data

Figure 1. Illustrative differential gene expression analysis data.

Simple, automatable workflow

A simple, rapid workflow for scalable sample processing

Figure 2. A simple, rapid workflow for scalable sample processing. The Watchmaker mRNA Library Prep Kit combines and shortens reaction steps and has fewer cleanups than other commercially available kits. Additionally, it utilizes “on-magnet” bead washing during mRNA capture to omit the need for pipetting to resuspend during washes, as well as reduce magnetting time. Generous reagent overages are included to meet dead volume requirements of liquid handlers.

Key Performance Data

Get more information out of challenging low-input samples

RNA library preparation efficiencies plummet with template-limited samples. This creates a complexity bottleneck and makes it difficult to derive useful biological insight from these libraries. The Watchmaker mRNA Library Prep Kit is specifically optimized for improved performance with low-inputs and delivers superior library complexity in the form of increased unique gene detection.

Maximize sequencing economy

Uninformative ribosomal RNA (rRNA) and duplicate reads effectively limit the capacity of a sequencing run. Reduce the number of reads wasted to rRNA contamination and duplicates with a library prep solution that provides excellent mRNA enrichment and library prep efficiency across a 400-fold input range (2.5 ng to 1 µg). The wide input range enables the use of a single workflow without needing specialized low-input solutions that don’t maintain strand origin information.

Better preserve gene expression data integrity with low inputs

An overarching goal in transcriptome sequencing is to generate data that is a perfect representation of the biological information contained within a sample.

Many commercially available mRNA library preps struggle to support a wide range of input amounts, resulting in gene expression data distortion. In particular, these solutions often lose relative coverage of lower abundance genes compared to moderate or highly expressed ones – meaning the data output is not representative of the original sample.

The Watchmaker mRNA Library Prep Kit delivers quantitative expression information across a broad input range to provide confidence in results.

Improve base coverage — even across GC-rich regions

Even transcript coverage uniformity is critical for sensitive applications such as alternative splicing and isoform analysis. The Watchmaker mRNA Library Prep Kit provides consistent coverage uniformity across RNA inputs and leverages Equinox DNA Polymerase to provide improved coverage of GC-rich regions.