Challenges and considerations for reproducibility of STARR-seq assays

Author:

Das MaitreyaORCID,Hossain Ayaan,Banerjee DeeproORCID,Praul Craig Alan,Girirajan SanthoshORCID

Abstract

High-throughput methods such as RNA-seq, ChIP-seq, and ATAC-seq have well-established guidelines, commercial kits, and analysis pipelines that enable consistency and wider adoption for understanding genome function and regulation. STARR-seq, a popular assay for directly quantifying the activities of thousands of enhancer sequences simultaneously, has seen limited standardization across studies. The assay is long, with more than 250 steps, and frequent customization of the protocol and variations in bioinformatics methods raise concerns for reproducibility of STARR-seq studies. Here, we assess each step of the protocol and analysis pipelines from published sources and in-house assays, and identify critical steps and quality control (QC) checkpoints necessary for reproducibility of the assay. We also provide guidelines for experimental design, protocol scaling, customization, and analysis pipelines for better adoption of the assay. These resources will allow better optimization of STARR-seq for specific research needs, enable comparisons and integration across studies, and improve the reproducibility of results.

Funder

National Institutes of Health

National Institute of General Medical Sciences

National Institute of Neurological Disorders and Stroke

Huck Institutes of the Life Sciences

Publisher

Cold Spring Harbor Laboratory

Subject

Genetics (clinical),Genetics

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