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Introducing a next generation RT that enables greater visibility and performance to power the future of multiomics

UltraMarathonRT (uMRT) is the new gold standard in reverse transcriptase. It empowers you to read and detect variation within whole transcriptomes, revealing previously invisible information critical for understanding all layers of biological function, from patients to single cells.

For targeted or transcriptome-wide gene expression, RNA structure, alternative splicing, or RNA modifications, UltraMarathonRT-powered kits are designed to enhance your applications and provide more robust, unbiased data sets.

UltraMarathonRT is engineered for performance
uMRT copies entire 30kb viral genomes in a single pass
Unwinds Stable Structures
uMRT is unaffected by RNA structural motifs due to its natural helicase activity
Unbiased Transcript Diversity
uMRT copies each transcript end-to-end in a single pass, displaying natural diversity
Uncover RNA Modifications
uMRT is an epitranscriptomic tool, detecting RNA editing sites and post-transcriptional modifications
Unleash Template Switching
uMRT has consistent terminal transferase activity, allowing for complete 5' end to 3' end sequencing
Unveil RNA Structure
uMRT reveals RNA structure in SHAPE-MaP and DMS-Map experiments making it a tool for HT mapping of RNA structures

Discover more about how UltraMarathonRT can accelerate your research

Fig. 1 [ click to enlarge ]

Identify more genes

Changing the standard RT to uMRT, enabled the identification of 25% more genes

Comparison of uMRT and SSII in a representative SMART-seq experiment [Fig. 1].

Fig. 2 [ click to enlarge ]

More consistent coverage from 5' to 3' ends

uMRT significantly reduces the problem of 3’ bias.

Axes represent coverage of mapped reads from 5’ to 3’ ends in an experiment using universal human reference RNA [Fig. 2]. uMRT provides more uniform coverage of the transcripts.

Visualize challenging regions including centromeric and highly structured transcripts

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Fig. 3a [ click to enlarge ]
Fig. 3b [ click to enlarge ]

uMRT enables more accurate, unbiased transcriptome analysis.

In a representative experiment, there were no sequencing reads from the SSII dataset mapped to the intron sequence between exon 10 and 11 of the WASH7P gene [Fig. 3a] which contains a stable structure [FIG. 3b]. In contrast, the intron can be efficiently detected by uMRT.

Works optimally at ambient temperatures – preserving the integrity of RNA samples

RNA samples (particularly long, structured RNAs or very low abundant RNAs) are delicate and degrade rapidly when heated [Fig. 4]. uMRT works optimally at 20-42ºC.

In the figure below, an HCV RNA was incubated in a diversity of buffer conditions without enzyme to evaluate the impact of temperature on template stability. Samples were analyzed using the Agilent 2100 Bioanalyzer system.

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Fig. 4 [ click to enlarge ]