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Series GSE110584 Query DataSets for GSE110584
Status Public on Feb 15, 2018
Title Identification of the tumour transition states occurring during EMT [ATAC-seq]
Organism Mus musculus
Experiment type Genome binding/occupancy profiling by high throughput sequencing
Expression profiling by high throughput sequencing
Summary EMT (epithelial-mesenchymal transition) in cancer has been associated with tumour stemness, metastasis and resistance to therapy. It has recently been proposed that, rather than being a binary process, EMT occurs through distinct intermediate states. However,direct in vivo evidence supporting this possibility is still lacking. By screening a large panel of cell surface markers, we identified the existence of multiple tumour subpopulations associated with different EMT stages from epithelial to completely mesenchymal states passing through intermediate hybrid states in skin and mammary primary tumours. Although all EMT subpopulations presented similar tumour propagating cell capacity, they displayed different, invasiveness and metastatic potential. Their transcriptional and epigenetic landscapes defined by RNA-seq and ATAC-seq identified the underlying gene regulatory networks, transcription factors and signalling pathways that control these different EMT transition states. Finally, these tumour subpopulations are localized in different niches that differentially regulateEMT transition states.
Overall design ATAC sequencing on the different intermediate states of EMT
Contributor(s) Pastushenko I, Brisebarre A, Sotiropoulou P, Blanpain C
Citation(s) 29670281
Submission date Feb 14, 2018
Last update date Sep 12, 2018
Contact name C├ędric Blanpain
Organization name ULB
Lab Laboratory of Stem Cells and Cancer
Street address Route de Lennik 808
City Brussels
ZIP/Postal code 1070
Country Belgium
Platforms (1)
GPL18480 Illumina HiSeq 1500 (Mus musculus)
Samples (5)
GSM3003586 Epplus
GSM3003587 TN
GSM3003588 106
This SubSeries is part of SuperSeries:
GSE110587 Identification of the tumour transition states occurring during EMT
BioProject PRJNA434063
SRA SRP132843

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Supplementary file Size Download File type/resource
GSE110584_RAW.tar 532.3 Mb (http)(custom) TAR (of BED, CSV, TDF, TXT)
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Raw data are available in SRA
Processed data provided as supplementary file

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