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Series GSE189142 Query DataSets for GSE189142
Status Public on Jan 01, 2023
Title ORE-seq: genome-wide absolute occupancy measurement by restriction enzyme accessibilities
Organisms Schizosaccharomyces pombe; Saccharomyces cerevisiae
Experiment type Other
Summary Digestion with restriction enzymes is a classical approach for probing DNA accessibility in chromatin. It allows to monitor both the cut and the uncut fraction and thereby the determination of accessibility or occupancy (= 1- accessibility) in absolute terms as the percentage of cut or uncut out of the total molecules. The here presented protocol takes this classical approach to the genome-wide level. After exhaustive restriction enzyme digestion of chromatin, DNA is purified, sheared and converted into libraries for high throughput sequencing. Bioinformatic analysis counts DNA fragments cut by the restriction enzyme as well as DNA ends generated by restriction enzyme digest and derives thereof the fraction of accessible DNA. This straight forward principle is technically challenged as preparation and sequencing of the libraries leads to biased scoring of DNA fragments with ends generated by restriction enzymes versus by shearing. Our protocol includes two orthogonal approaches to correct for this bias, the “corrected cut-uncut” and the “cut-all cut” method, so that accurate measurements of absolute accessibility/occupancy at restriction sites throughout a genome are possible. The protocol is presented for the example of S. cerevisiae chromatin but may be adapted for any other species.
 
Overall design calibration samples for ORE-seq: generated by mixing defined ratios of S. cerevisiae genomic DNA completely cut or uncut with a respective restriction enzyme (either AluI, BamHI or HindIII); for normalization, S. pombe genomic DNA completely digested with EcoRI was spiked into (about 10% of S. cerevisiae DNA mass) the completely cut or uncut S. cerevisiae genomic DNA prior to mixing the defined ratios.
 
Contributor(s) Oberbeckmannn E, Wolff MR, Krietenstein N, Schmid A, Straub T, Gerland U, Korber P
Citation(s) 36807068
Submission date Nov 18, 2021
Last update date Apr 02, 2023
Contact name Tobias Straub
E-mail(s) tstraub@med.uni-muenchen.de
Organization name LMU Munich
Department Biomedical Center, Bioinformatics
Street address Großhadener Str. 9
City Martinsried
ZIP/Postal code 82152
Country Germany
 
Platforms (2)
GPL30978 Illumina HiSeq 1500 (Saccharomyces cerevisiae; Schizosaccharomyces pombe)
GPL30979 NextSeq 1000 (Saccharomyces cerevisiae; Schizosaccharomyces pombe)
Samples (21)
GSM5695159 BY6_AluI_0_pct_cut_X
GSM5695160 BY6_AluI_1
GSM5695161 BY6_AluI_10_pct_cut_X
Relations
BioProject PRJNA781633

Download family Format
SOFT formatted family file(s) SOFTHelp
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Supplementary file Size Download File type/resource
GSE189142_RAW.tar 51.9 Mb (http)(custom) TAR (of BW)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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