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Series GSE173754 Query DataSets for GSE173754
Status Public on Dec 14, 2022
Title Multi-omics and machine learning reveal context-specific gene regulatory activities of PML-RARA in Acute Promyelocytic Leukemia [RNA-seq]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary The PML-RARA fusion protein is the hallmark driver of Acute Promyelocytic Leukemia (APL) and disrupts retinoic acid signaling, leading to wide-scale gene expression changes and uncontrolled proliferation of myeloid precursor cells. While known to be recruited to binding sites across the genome, its impact on gene regulation and expression is under-explored. Using integrated multi-omics datasets, we characterize the influence of PML-RARA binding on gene expression and regulation in an inducible cell line model and APL patient ex vivo samples. We find that genes whose regulatory elements recruit PML-RARA are not uniformly transcriptionally repressed, as commonly suggested, but also may be upregulated or remain unchanged. We develop a novel, computational machine learning application to deconvolute the complex, local transcription factor binding site environment at PML-RARA bound positions to reveal distinct signatures that modulate how PML-RARA directs the transcriptional response.
 
Overall design Application of RNA-seq to the U937-PR9 cell line system, before and after PML-RARA inuction. Application of RNA-seq to two ex vivo APL patient samples
 
Contributor(s) Villiers W, Dillon R, Mifsud B, Osborne C
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Submission date May 03, 2021
Last update date Dec 14, 2022
Contact name Cameron Osborne
E-mail(s) cameron.osborne@kcl.ac.uk
Organization name King's College London
Department Medical and Molecular Genetics
Street address Guy's Hospital Campus
City London
ZIP/Postal code SE1 9RT
Country United Kingdom
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (6)
GSM5277837 U937-PR9 Control rep1 RNA-seq
GSM5277838 U937-PR9 Control rep2 RNA-seq
GSM5277839 U937-PR9 Induced rep1 RNA-seq
This SubSeries is part of SuperSeries:
GSE173755 Multi-omics and machine learning reveal context-specific gene regulatory activities of PML-RARA in Acute Promyelocytic Leukemia
Relations
BioProject PRJNA726969
SRA SRP318229

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Supplementary file Size Download File type/resource
GSE173754_Control_vs_Induced_RNA-seq_Limma_DEG.txt.gz 144.2 Kb (ftp)(http) TXT
GSE173754_Log2_Counts_Per_Million_All_RNA-seq.csv.gz 1010.9 Kb (ftp)(http) CSV
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Raw data are available in SRA
Processed data are available on Series record

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