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Series GSE107749 Query DataSets for GSE107749
Status Public on Dec 07, 2017
Title ChIP-seq Analysis of MCF7 Cells on Treatment with Estradiol with internal controls
Organism Homo sapiens
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Summary A key challenge in quantitative ChIP-seq is the normalisation of data in the presence of genome-wide changes. Data-based methods often rely on assumptions that do not hold true. Misapplication of these methods to ChIP-seq data results in the suppression of the biological signal or erroneous measurement of differential occupancy. To develop methods that address this challenge, we generated two ChIP-seq datasets, measuring Estrogen Receptor-alpha (ER) binding and H4K12ac histone marks in MCF7 before and after 100 nm Estradiol treatment for 45 minutes and 2 hours respectively.
Overall design 2 ER ChIP-seq experiments implementing internal normalisation strategies
Contributor(s) Markowetz F, Holding AN
Citation(s) 29672735
Submission date Dec 06, 2017
Last update date May 15, 2019
Contact name Andrew Nicholas Holding
Organization name University of Cambridge
Department CRUK Cambridge Institute
Street address Robinson Way
City Cambridge
ZIP/Postal code CB2 0RE
Country United Kingdom
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (20)
GSM2877976 SLX-15091_1a_ER_none
GSM2877977 SLX-15091_2a_ER_none
GSM2877978 SLX-15091_Input_none
BioProject PRJNA421277
SRA SRP126220

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Supplementary file Size Download File type/resource
GSE107749_E2_normalised_results.csv.gz 604.3 Kb (ftp)(http) CSV
GSE107749_H4_normalised_results.csv.gz 366.2 Kb (ftp)(http) CSV
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