Accession PRJCA003346
Title Resolving a Systematic Error in STARR-seq for Quantitative Enhancer Activity Mapping in Arabidopsis thaliana
Relevance Model organism
Data types Raw sequence reads
Genome sequencing
Organisms Arabidopsis thaliana
Description Enhancer activity can be quantitatively measured by STARR-seq, which assesses millions fragments in parallel. Here we show that STARR-seq is critically flawed with a systematic error in the cells of Arabidopsis thaliana (A. thaliana). Considerable portion of self-transcripts (STs) can be lost during reverse transcription if a polyadenylation signal (pAS) existed in a test DNA fragment and was used. We solve this problem by using specially designed primer to recover all self-transcribed sequences. In A. thaliana, we identified both active enhancers and enhancers quiescent in the endogenous chromatin. Different from enhancers predicted by DNase I hypersensitive sites (DHSs), majority functionally identified enhancers are mapped in sequences proximal to genes upstream and downstream, and gene expression correlates with enhancer epigenetic states. Our solution applies to methods based on self-transcript measurement, including STARR-seq. In addition, our results provide an invaluable functional enhancer map and insights into the functional complexity of enhancers in A. thaliana.
Sample scope Multiisolate
Release date 2020-10-14
Grants
Agency program Grant ID Grant title
National Key R&D Program of China 2018YFC1004500
National Natural Science Foundation of China (NSFC) 31571347
National Natural Science Foundation of China (NSFC) 31771430
Southern University of Science and Technology No.G02226301
Southern University of Science and Technology Y01501821
Submitter Jing    Wan  (1130014467@qq.com)
Organization Huazhong Agricultural University
Submission date 2020-08-27

Project Data

Resource name Description
BioSample (8)  show -
GSA (1) -
CRA003161 Resolving a Systematic Error in STARR-seq for Quantitative Enhancer Activity Mapping in Arabidopsis thaliana