Products & ReviewLife Sciences

Single Cell Methylation Kit

Scale Bio’s Single Cell Methylation Kit revolutionizes epigenetics research as the first commercial solution for detecting single cell DNA methylation states.

Scale Biosciences

The supplier does not provide quotations for this product through SelectScience. You can search for similar products in our  Product Directory.

Ease of Use
After Sales Service
Value for Money
Be the first to leave a review
Description

True high-resolution epigenetics
Methylation is a heritable and stable epigenetic mark making it ideal for robust detection of epigenetic complexity in tissues. Detect single cell methylomes from thousands of cells with ease with our kitted solution, without hassle of complex, custom protocols or unvalidated reagents.

Discover cell type-specific methylation patterns
Most methylation data today is from bulk-level analysis. Break through the noise and unmask methylation patterns on a cell type-specific level.

Focus on what matters most
Maximize your sequencing budget and expand the number of samples profiled by generating target-enriched libraries, without worrying about leaving important CpGs behind.

Application eBookLife Sciences

High-throughput single cell screening for cancer research

[@portabletext/react] Unknown block type "image", specify a component for it in the `components.types` prop

Single cell analysis is reshaping the landscape of life science research—revealing rare cell types, exposing hidden heterogeneity, and delivering actionable insights into disease mechanisms that were once out of reach.

In this free SelectScience guide, discover how Scale Biosciences is leading the next generation of single cell innovations. Learn how cutting-edge, scalable platforms are transforming RNA sequencing, CRISPR screening, and DNA methylation studies—at a fraction of the cost and complexity.

You'll learn how to:

  • Scale your single cell research
  • Achieve ultra-high throughput RNA sequencing
  • Profile CRISPR knockout experiments at scale
  • Optimize DNA methylation analysis
  • Combine single cell methylation libraries with targeted enrichment

Who is this eBook for?

  • Cancer biologists exploring tumor heterogeneity
  • Genomics and epigenetics researchers
  • Functional genomics scientists running CRISPR or perturbation screens
  • Bioinformaticians and computational biologists seeking scalable data generation
  • Translational researchers working on drug discovery pipelines
  • Core facility scientists building single cell workflows for broad use
  • Academic labs transitioning from bulk to single cell approaches
  • Pharma and biotech scientists advancing precision medicine

Resource details:

  • Document type: SelectScience guide
  • Page count: 30
  • Read time: 45 mins
  • Edition: 1st

Product Overview

Links

Buy Single Cell Methylation Kit Read Reviews