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HPRep: Quantifying Reproducibility in HiChIP and PLAC-Seq Datasets.

Jonathan D Rosen¹, Yuchen Yang², Armen Abnousi³

¹Department of Biostatistics, University of North Carolina, Chapel Hill, NC 27516, USA.

Current Issues in Molecular Biology

|September 25, 2021

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This summary is machine-generated.

New metric HPRep accurately measures reproducibility for HiChIP and PLAC-Seq, crucial for understanding protein-centric chromatin conformation. HPRep outperforms existing methods, enabling better analysis of these advanced genomics technologies.

Area of Science:

Genomics
Epigenetics
Computational Biology

Background:

HiChIP and PLAC-Seq are advanced techniques for mapping genome-wide chromatin interactions centered on specific proteins.
Existing reproducibility metrics for Hi-C data are unsuitable for HiChIP and PLAC-Seq due to unbalanced read distributions from immunoprecipitation.
Accurate reproducibility assessment is vital for reliable analysis of these emerging chromatin conformation capture technologies.

Purpose of the Study:

To develop and validate a novel metric, HPRep, for quantifying reproducibility in HiChIP and PLAC-Seq data.
To address the limitations of existing methods in analyzing protein-centric chromatin conformation data.
To provide a robust tool for assessing the reliability of HiChIP and PLAC-Seq experiments.

Main Methods:

Keywords:

HiChIP PLAC-Seq chromatin spatial organization reproducibility

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HPRep is a stratified and weighted correlation metric calculated from normalized contact counts.
The metric was applied to diverse HiChIP and PLAC-Seq datasets, including H3K4me3 and H3K27ac modifications.
Performance was evaluated by comparing HPRep's ability to distinguish pseudo-replicates, real replicates, and non-replicates against existing Hi-C metrics.

Main Results:

HPRep demonstrates superior performance compared to existing Hi-C reproducibility measures for HiChIP and PLAC-Seq data.
HPRep effectively differentiates between pseudo-replicates, real replicates, and non-replicates across various datasets and cell types.
Analysis of H3K4me3 PLAC-Seq data from human brain cell types showed expected data clustering with HPRep, unlike existing methods.

Conclusions:

HPRep is a tailored and effective metric for assessing reproducibility in HiChIP and PLAC-Seq experiments.
The development of HPRep addresses a critical need for specialized analysis tools for these protein-centric chromatin interaction technologies.
HPRep facilitates more reliable interpretation and comparison of results from HiChIP and PLAC-Seq studies.