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Series GSE36111 Query DataSets for GSE36111
Status Public on Dec 31, 2016
Title Expression data from side population cells of the human OSCC cell line SCC172
Organism Homo sapiens
Experiment type Expression profiling by array
Summary A cancer stem cell cannot be identified solely based on surface markers as none of the markers used to isolate stem cells in various normal and cancerous tissues is expressed exclusively by stem cells. Our experimental results have also identified additional fractions representing true stem-like cells in oral squamous cell carcinoma (OSCC), refuting the concept that cancer stem cells (CSCs) are a rare population, and we have also developed an in vitro model to explore the stem cell concept in oral epithelial tumorigenesis. This model expounds four distinct fractions within a homogenous cell line SCC172 that is morphologically similar (85% cells expressing CSC markers), yet varying in all functional aspects of cell cycle, dye retention, chemoresistance, tumor-forming potential, self renewal, apoptosis resistance and regulation at molecular levels. Relating to our CSC shift model, we analysed the concept of biological heterogeneity in terms of four fractions SP1, SP2, MP1 and MP2 and associated it with variations among patients in a clinical scenario.
Overall design We used microarray expression profiling to determine the transcriptional profiles of representative tumorigenic SP1 and non-tumorigenic non-SP/MP1 fractions. Three batches of approximately 6x10^5 of SP1 and non-SP (MP1) cells were sorted by flow cytometry on different days as biological replicates after ensuring maximum resort purity. Only two SP1 replicates are included in this submission.
Contributor(s) Richard V, Pillai MR
Citation(s) 28276309
Submission date Feb 27, 2012
Last update date Dec 06, 2018
Contact name Vinitha Richard
Phone +91 9972844405
Organization name Rajiv Gandhi Centre for Biotechnology
Department Cancer Research Program
Lab MRP Lab
Street address Thycaud P.O.
City Thiruvananthapuram
State/province Kerala
ZIP/Postal code 695014
Country India
Platforms (1)
GPL571 [HG-U133A_2] Affymetrix Human Genome U133A 2.0 Array
Samples (5)
GSM881301 SP1, biological rep1
GSM881302 SP1, biological rep2
GSM881303 MP1, biological rep1
BioProject PRJNA152991

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
GSE36111_RAW.tar 10.1 Mb (http)(custom) TAR (of CEL)
GSE36111_processed_data.txt.gz 1.8 Mb (ftp)(http) TXT
Processed data included within Sample table
Processed data are available on Series record

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