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Extensive evaluation of ATAC-seq protocols for native or formaldehyde-fixed nuclei.

Hao Zhang1,2, Michael E Rice1,2, Joseph W Alvin3

  • 1Department of Cellular and Molecular Medicine, University of Arizona, Tucson, AZ, USA.

BMC Genomics
|March 17, 2022
PubMed
Summary

Optimizing the Assay for Transposase Accessible Chromatin sequencing (ATAC-seq) protocol is crucial for accurate gene regulation studies. This study systematically evaluated key ATAC-seq components, revealing how choices like temperature and fixation impact data quality and bias.

Keywords:
ATAC-seqChromatin accessibilityQuality controlTn5Transcription factor

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Area of Science:

  • Molecular Biology
  • Genomics
  • Epigenetics

Background:

  • The Assay for Transposase Accessible Chromatin sequencing (ATAC-seq) is a widely used method for measuring chromatin accessibility and studying gene regulation.
  • Existing ATAC-seq protocols have numerous variations, but a comprehensive head-to-head evaluation of these choices in a consistent setting is lacking.

Purpose of the Study:

  • To systematically evaluate the impact of different ATAC-seq protocol components on data quality and utility.
  • To compare various reaction buffers, temperatures, enzyme sources, and nuclei preparation methods (native vs. fixed).

Main Methods:

  • Conducted a comprehensive comparison of 24 ATAC-seq experimental conditions by systematically varying major protocol components.
  • Utilized a well-characterized cell line and primary mouse lung tissue, with four replicates for each condition.
  • Tested multiple input amounts for primary samples.

Main Results:

  • Native nuclei generally yielded more peaks than fixed nuclei, with reaction temperature significantly affecting data quality metrics for both.
  • Protocol choices, such as buffer type and temperature, influenced data quality metrics inconsistently between native and fixed samples.
  • In-house and commercial enzymes performed similarly, while specific buffers (e.g., THS) showed distinct profiles in native samples.

Conclusions:

  • The relationship between common library quality metrics varies with temperature and fixation, necessitating the evaluation of multiple metrics.
  • ATAC-seq protocol choices can bias the profiling of functional elements, highlighting the need to test several formulations for new experiments.
  • The study provides insights for optimizing ATAC-seq workflows, including for crosslinked samples to profile archival clinical specimens.