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Series GSE79372 Query DataSets for GSE79372
Status Public on Mar 19, 2016
Title Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients
Platform organisms Homo sapiens; Mus musculus; Rattus norvegicus
Sample organism Homo sapiens
Experiment type Expression profiling by array
Non-coding RNA profiling by array
Non-coding RNA profiling by high throughput sequencing
Summary This SuperSeries is composed of the SubSeries listed below.
 
Overall design Refer to individual Series
 
Citation(s) 26265694
Submission date Mar 18, 2016
Last update date May 15, 2019
Contact name Monique C. de Jong
E-mail(s) m.d.jong@nki.nl
Organization name Netherlands Cancer Institute
Department Dept of Biological Stress Response and Dept. of Radiation Oncology
Street address Plesmanlaan 121
City Amsterdam
ZIP/Postal code 1066 CX
Country Netherlands
 
Platforms (4)
GPL6884 Illumina HumanWG-6 v3.0 expression beadchip
GPL10558 Illumina HumanHT-12 V4.0 expression beadchip
GPL11154 Illumina HiSeq 2000 (Homo sapiens)
Samples (198)
GSM2093370 UT-SCC-12-[Mock irradiated]
GSM2093371 UT-SCC-15-[Mock irradiated]
GSM2093372 UT-SCC-16A-[Mock irradiated]
This SuperSeries is composed of the following SubSeries:
GSE79368 Pretreatment microRNA Expression Impacting on Epithelial-to-Mesenchymal Transition Predicts Intrinsic Radiosensitivity in Head and Neck Cancer Cell Lines and Patients [mRNA expression]
GSE79369 Pretreatment microRNA expression impacting on epithelial to mesenchymal transition predicts intrinsic radiosensitivity in head and neck cancer cell lines and patients [microRNA expression].
GSE79370 Pretreatment microRNA expression impacting on epithelial to mesenchymal transition predicts intrinsic radiosensitivity in head and neck cancer cell lines and patients [UTSCC43A]
Relations
BioProject PRJNA315624

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
GSE79372_RAW.tar 48.8 Mb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp

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