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AutoRELACS: automated generation and analysis of ultra-parallel ChIP-seq.

L Arrigoni1, F Ferrari1,2, J Weller1

  • 1Max Planck Institute of Immunobiology and Epigenetics, Freiburg, Germany.

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|July 26, 2020
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AutoRELACS automates the Restriction Enzyme-based Labeling of Chromatin in Situ (RELACS) protocol for high-throughput ChIP-seq. This automated workflow streamlines epigenetic profiling and generates high-quality data, even with limited samples.

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Area of Science:

  • Epigenetics and Genomics
  • Molecular Biology Techniques

Background:

  • Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is essential for mapping protein-DNA interactions genome-wide.
  • Restriction Enzyme-based Labeling of Chromatin in Situ (RELACS) offers a standardized, high-throughput ChIP-seq approach using chromatin barcoding.
  • Manual RELACS implementation faces limitations in human processivity for both data generation and analysis.

Purpose of the Study:

  • To develop an automated implementation of the RELACS protocol to overcome manual processivity constraints.
  • To create a streamlined, continuous workflow for epigenetic profiling from sample to interpretation.
  • To demonstrate the efficacy of automated RELACS for generating high-quality ChIP-seq data.

Main Methods:

  • Development of AutoRELACS, an automated RELACS protocol utilizing the Biomek i7 liquid handler workstation.
  • Integration of AutoRELACS with snakePipes for automated computational analysis pipelines.
  • Validation of AutoRELACS for chromatin barcode integration and high-quality ChIP-seq data generation.

Main Results:

  • AutoRELACS successfully automates the chromatin barcode integration step within the RELACS protocol.
  • The automated workflow generates high-quality ChIP-seq data comparable to the manual RELACS protocol.
  • AutoRELACS effectively produces reliable data even when using limited amounts of biological samples.

Conclusions:

  • AutoRELACS provides an automated solution to enhance the processivity and throughput of RELACS-based ChIP-seq.
  • This automated workflow significantly streamlines epigenetic profiling, from sample handling to data interpretation.
  • AutoRELACS enables the generation of robust and reproducible ChIP-seq data, expanding its applicability to smaller sample sizes.