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Computational Analysis of Maize Enhancer Regulatory Elements Using ATAC-STARR-seq.

Authors :
Marand AP
Source :
BioRxiv : the preprint server for biology [bioRxiv] 2023 Jan 21. Date of Electronic Publication: 2023 Jan 21.
Publication Year :
2023

Abstract

The blueprints to development, response to the environment, and cellular function are largely the manifestation of distinct gene expression programs controlled by the spatiotemporal activity of cis -regulatory elements. Although biochemical methods for identifying accessible chromatin - a hallmark of active cis -regulatory elements - have been developed, approaches capable of measuring and quantifying cis -regulatory activity are only beginning to be realized. Massively Parallel Reporter Assays coupled to chromatin accessibility profiling present a high-throughput solution for testing the transcription-activating capacity of millions of putatively regulatory DNA sequences in parallel. However, clear computational pipelines for analyzing these high-throughput sequencing-based reporter assays are lacking. In this protocol, I layout and rationalize a computational framework for the processing and analysis of Assay for Transposase Accessible Chromatin profiling followed by Self-Transcribed Active Regulatory Region sequencing (ATAC-STARR-seq) data from a recent study in Zea mays. The approach described herein can be adapted to other sequencing-based reporter assays and is largely agnostic to the model organism with the appropriate input substitutions.<br />Competing Interests: Competing interests A.P.M. declares no competing interests.

Details

Language :
English
ISSN :
2692-8205
Database :
MEDLINE
Journal :
BioRxiv : the preprint server for biology
Accession number :
36711646
Full Text :
https://doi.org/10.1101/2023.01.20.524917