RNA Characterization and Monitoring Solutions

RNA Characterization and Monitoring Solutions

Higher quality data and robust digestion, faster.

Higher quality data and robust digestion, faster.

RNA scientists using LC-MS need faster, higher-quality data due to the complex structures, modifications, and variants of RNA molecules. Typically, RNA is digested with an endonuclease before injection, and the fragments are separated using ion pairing reversed phase (IPRP) or hydrophilic chromatography (HILIC) coupled with mass spectrometry for detailed characterization. RNase plays a crucial role in studying RNA sequences, modifications, and impurities, ensuring the safety and efficacy of new therapeutics and vaccines. Advanced informatic tools enhance data acquisition, processing, and reporting, making them essential for method development and quality control labs. Waters RNA Characterization Tools offer robust digestion, improved MS spectra quality, and advanced data interpretation and reporting.

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Webinar: Cracking the Code

LC-MS Fragment Mapping with Enhanced Sample Preparation and Informatics Tools

LC-MS Fragment Mapping with Enhanced Sample Preparation and Informatics Tools

To analyze larger therapeutic RNAs, they must be broken down into smaller fragments. Novel RNA endonucleases, high-purity mobile phase reagents, and integrated data processing workflows now simplify and automate these tasks, making LC-MS assays more accessible. These innovations lower the adoption barrier for LC-MS, accelerating the development and market readiness of RNA-based therapeutics.

This webinar will feature insights from Quality Assistance, highlighting their implementation of Waters' latest RNA solutions and discussing the analytical benefits these new tools have provided

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Blue porous polymer

waters_connect RNA CQA monitoring workflows

Automated software for RNA fragment mapping integrates multiple steps, from data acquisition, processing and reporting. The waters_connect MAP Sequence Application enhances efficiency, speed, accuracy, and consistency, facilitating more robust and accessible studies into RNA therapeutics.

Discover MAP Sequence
  • Simple, streamlined informatics workflows for RNA fragment mapping
  • waters_connect data acquisition, processing and reporting for 5’ Capping efficiency and 3’ PolyA tail heterogeneity
  • Simple, fit for purpose instrumentation for routine attribute monitoring
  • Compliance-ready hardware and informatics for deployment in regulated laboratories
  • Fully compatible with RapiZyme RNases and other commercially available RNases for ultimate method flexibility

RapiZyme RNases: A Cut Above

RapiZyme RNases are novel endonucleases designed to produce unique fragments with lengths optimal for LC-MS identification, thereby improving sequence coverage and modification mapping.

Discover RapiZyme
  • Achieve sequence coverage with an easy to implement procedure
  • Generate unique digestion products for increased coverage
  • Tune your digestion protocol with high reproducibility
  • Integrated within MAP Sequence for streamlined interpretation
  • No need for chemical denaturants or inhibitors

Ionhance: Enhance your MS Data

Waters IonHance HFIP is stringently purified to obtain the lowest metals content necessary for the cleanest MS spectra.

Discover Ionhance
  • High purity HFIP reagent for LC-MS analysis
  • Annotate your MS data with clarity
  • 2x lower sodium and potassium adducts
  • Have confidence in your supply with Waters quality manufacturing
  • Enhance your IP-RP and HILIC LC-MS methods

High Quality Nucleic Acid Standards

Choose the reference material that most closely matches your molecule with individual and pre-mixed nucleic acid sequences for LC-MS analysis.

Discover Standards
  • Optimize IP-RP And HILIC methods with sgRNA LC-MS (1 nmol) reference standard
  • High purity reference material for development and system suitability
  • Increased confidence in method and system benchmarking
  • 100 nt sequence with modified termini (e.g. PS, 2’-OMe)
  • Perform intact or fragment analysis with a known sequence
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