scEpiSearch

scEpiSearch annotates single-cell open-chromatin profiles by matching them to large reference pools of single-cell transcriptomes and epigenomes to enable analysis of cellular regulatory states.

Key Features:

• High-Performance Search Capabilities: scEpiSearch searches and compares single-cell open-chromatin profiles against large reference databases, providing high search accuracy and low-dimensional coembedding irrespective of platform or species.
• Cross-Platform Compatibility: Functions across different technological platforms and biological species.
• Independent Classification: Enables independent classification of single-cell epigenome profiles to facilitate analysis of cellular heterogeneity and regulatory mechanisms.

Scientific Applications:

• Cellular Heterogeneity Analysis: Applied to K562 cells and acute leukemia samples to reveal cellular heterogeneity, multipotent behavior, and dedifferentiated states.
• Identification of Subpopulations in Stem Cells: Used on embryonic stem cells (ESCs) to identify subpopulations characterized by heightened activity and readiness for endoplasmic reticulum stress responses and unfolded protein reactions.
• Regulatory State Exploration: Amalgamates information from large pools of single-cell data to study cellular regulatory states through epigenomes.

Methodology:

scEpiSearch employs advanced algorithms to match queried single-cell open-chromatin profiles with comprehensive reference databases, enabling precise annotation and classification and supporting the integration of diverse data types.