In Situ Hybridization

RNA ISH In situ Hybridization

RNA In Situ Hybridization (F/ISH)

Why Choose GlintLab for RNA In Situ Hybridization?

  • Expertise in Probe and Assay Selection: We guide you in selecting the most appropriate probes and assays for your targets, whether standard or custom designs, ensuring compatibility with your specific research goals.
  • Comprehensive Optimization: Our protocols are tailored to maximize signal-to-noise ratios and ensure reliable detection across diverse tissue types and RNA targets.
  • Advanced Imaging and Analysis: We provide high-resolution imaging and cutting-edge analysis tools for quantitative and spatial RNA data.
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RNA ISH Process

Probe Selection

  • Assistance with standard or custom probe design for single or multiple RNA targets.
  • Vendor selection support: Choose the best probes from trusted sources like ACD or Molecular Instruments, tailored to the length and type of RNA targets.

Assay Selection

  • Selection of appropriate assays based on:
    • Target sequence length: Short vs. long RNA targets.
    • Expression levels: Channel recommendations for expected target abundance in multiplex assays.
    • Assay type: RNA-only assays or RNA + protein detection for combined studies.
  • Instrumentation guidance: Recommendations for manual or automated staining using platforms such as Leica Bond and Roche Ventana Discovery Ultra autostainers for high-throughput or complex multiplexing needs.

Staining and Imaging

  • RNA integrity validation and high-resolution staining for all test samples.
  • Imaging options include:
    • Brightfield ISH for chromogenic detection.
    • Fluorescent ISH (FISH) for multiplex RNA visualization or RNA-protein co-localization.
  • Customizable workflows to fit your experimental design and imaging requirements.

Image Analysis

  • Quantitative cell-by-cell RNA expression analysis to deliver actionable insights.
  • Spatial RNA analysis capabilities to map gene expression within the tissue architecture.
  • Data outputs designed for publication or further computational modeling.

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