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Series GSE219068 Query DataSets for GSE219068
Status Public on Jun 11, 2024
Title mDRIP-seq: a high-throughput method for R-loop mapping and quantitative assessment
Organisms Escherichia coli; Arabidopsis thaliana; Oryza sativa; Saccharomyces cerevisiae; Homo sapiens; Mus musculus
Experiment type Other
Summary Current methods for R-loop mapping need to perform DNA:RNA immunoprecipitation for each sample individually, with consequent limitations in throughput. Here, we develop and validate mDRIP-seq, a multi-sample barcoding and pooling method for R-loop mapping. We show mDRIP-seq performs equivalently as conventional methods, but with the merits of high throughput and cost-efficiency. We also show the simplicity of mDRIP-seq for relative and absolute quantitation of genomic R-loop fractions for multiple samples. Together, mDRIP-seq is a high-throughput and cost-efficient method for R-loop mapping and quantitative assessment and can be widely applied to large-scale dynamic profiles of these important structures for diverse organisms.
 
Overall design mDRIP-seq development, and R-loop mapping in multiple samples
 
Contributor(s) Sun C, Xu W
Citation(s) 38821747
Submission date Nov 30, 2022
Last update date Jun 12, 2024
Contact name Changbin Sun
Organization name Chinese Academy of Agricultural Sciences
Department Agricultural Genomics Institute at Shenzhen
Lab Guangdong Laboratory of Lingnan Modern Agriculture
Street address Dapeng
City Shenzhen
ZIP/Postal code 518120
Country China
 
Platforms (6)
GPL24247 Illumina NovaSeq 6000 (Mus musculus)
GPL24676 Illumina NovaSeq 6000 (Homo sapiens)
GPL25368 Illumina NovaSeq 6000 (Escherichia coli)
Samples (356)
GSM6767004 S1-mDRIP-seq-Input-HEK293T-cDNA
GSM6767005 S2-mDRIP-seq-Input-HEK293T-cDNA
GSM6767006 S1-mDRIP-seq-HEK293T-cDNA
This SubSeries is part of SuperSeries:
GSE219071 mDRIP-seq is a high-throughput method for quantitative R-loop landscape profiling
Relations
BioProject PRJNA906980

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE219068_RAW.tar 18.7 Gb (http)(custom) TAR (of BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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