Automated chromatin profiling with spa-ChIP-seq uncovers the impacts of condition variations

Area of Science:

• Molecular Biology
• Genomics
• Epigenetics

Background:

• Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is crucial for studying DNA-protein interactions.
• Manual ChIP-seq protocols are labor-intensive, limiting scalability and reproducibility.
• Existing automation solutions partially address workflow challenges, particularly for non-histone proteins.

Purpose of the Study:

• To present a fully automated, single-pot ChIP-seq (spa-ChIP-seq) protocol.
• To enable scalable, cost-efficient, and reproducible ChIP-seq library preparation.
• To systematically evaluate parameters influencing ChIP-seq data quality.

Main Methods:

• Developed a fully automated single-pot ChIP-seq (spa-ChIP-seq) workflow.
• Processed 8-96 samples from cross-linked cells to sequencing-ready libraries.
• Benchmarked automated protocol against manual ChIP-seq and evaluated key parameters.

Main Results:

• spa-ChIP-seq processed samples in ~3 days at ~$70/sample with comparable signal-to-noise ratio to manual methods.
• Identified that weaker genomic localization signals are sensitive to antibody-to-cell number ratio.
• Stronger signals remained unaffected by antibody-to-cell number ratio variations.

Conclusions:

• spa-ChIP-seq offers a robust, cost-efficient, and scalable solution for high-throughput ChIP-seq.
• Consistent antibody-to-cell number ratio is critical for comparative genomic studies.
• The protocol facilitates large-scale epigenomic research, including antibody validation and population genomics.