Assay for Transposase-Accessible Chromatin using sequencing kits

Assay for Transposase-Accessible Chromatin using sequencing kits

ATAC-seq (Assay for Transposase-Accessible Chromatin using sequencing) kits enable rapid genome-wide profiling of chromatin accessibility by employing a hyperactive Tn5 transposase that simultaneously fragments DNA and inserts sequencing adapters into accessible chromatin regions. This approach generates sequencing-ready libraries from isolated nuclei or permeabilized cells, providing high-resolution maps of open chromatin, transcription start site (TSS) enrichment, and nucleosome positioning. Streamlined workflows support bulk, low-input, and single-cell applications.

Key Advantages

  • Fast and Efficient Workflow: Transposition and adapter incorporation occur in a single reaction, significantly reducing library preparation time.
  • High Sensitivity and Resolution: Enables the identification of promoters, enhancers, and regulatory elements while providing nucleosome-scale fragment-size information.
  • Low-Input and Single-Cell Compatibility: Optimized protocols support applications ranging from a few hundred cells to advanced single-cell ATAC-seq workflows using droplet-based or combinatorial indexing technologies.
  • Broad Sample Compatibility: Suitable for cultured cell lines, primary cells, sorted populations, frozen tissues, and other challenging biological specimens.
  • Multi-Omics Integration: Easily combined with RNA-seq, CUT&Tag, and other epigenomic approaches to provide comprehensive insights into gene regulation.

Applications

  • Bulk ATAC-seq: Identification of differentially accessible chromatin regions and regulatory elements across biological conditions.
  • Low-Input and Rare-Cell Analysis: Profiling chromatin accessibility from limited cell numbers and valuable clinical specimens.
  • Single-Cell ATAC-seq: Characterization of cell-type-specific chromatin landscapes, heterogeneity, and developmental trajectories.
  • Multi-Omics Studies: Integration with CUT&Tag, RNA-seq, and Hi-C datasets to obtain deeper insights into gene regulatory networks.
  • Chromatin Architecture Research: Investigation of nucleosome positioning, chromatin remodeling, and epigenetic regulation mechanisms.

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