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Series GSE16838 Query DataSets for GSE16838
Status Public on Jun 27, 2009
Title Expression data from MDA-MB-231 reference and in vitro-derived subpopulations with distinct invasive potentials
Organism Homo sapiens
Experiment type Expression profiling by array
Summary To understand the link between invasion behavior and the steps of metastasis formation, we isolated invasive subpopulations from MDA-MB-231 cells in vitro using matrigel coated boyden chambers. Whole genome transcriptional profiling was used to characterize the expression changes uniquely related to invasive abilities of these cells.

In this dataset, we include expression data obtained from MDA-MB-231 invasive cells (INV cells) and those that failed to invade the coated membrane during selection (REF cells). These subpopulations have been characterized in vitro by the differences in motility and invasion, cell morphology, adhesion properties to endothelial cells or fibronectin, proliferation, and resistance to doxorubicin as well as to growth factor starvation. INV tumors xenografted in nude mice presented higher volume with more angiogenesis. In addition, when injected into blood circulation, INV cells induced more sites of metastasis in nude mice as compared to REF cells, and dramatically diminished survival by about 80%. Transcriptomic analysis showed differences in genes involved in proliferation, chemotaxis and cytoskeleton, but particularly up-regulated genes involved in negative regulation of apoptosis and down-regulated genes involved in cell adhesion or cell-cell junction. In conclusion, invasive behavior was sufficient to reveal 134 differentially expressed genes correlated with invasive cell aggressivity.
 
Overall design 8 total samples were analyzed (4 for each condition). To determine differentially expressed genes, differences between both conditions were calculated on each day of measurement and analyzed using a two-sided paired t-test implemented in the anapuce R package (http://www.agroparistech.fr/mia/outil.html). Pairing was made to remove variation due to the day of measurement in the comparison between the two conditions. The variance was split between subgroups of genes with homogeneous variance (Delmar P, Robin S, Daudin J.-J. VarMixt: efficient variance modelling for the differential analysis of replicated gene expression data. Bioinformatics, 2005, 21: 4,502-508). Statistical raw p-values were adjusted for multiple comparisons using the Benjamini-Hochberg procedure (Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J. R. Statist. Soc. B, 1995, 57:1, 289-300) which controls the False Discovery Rate (FDR) after the estimation of the proportion of genes not differentially expressed using the smoother method (Storey JD, Tibshirani R, Statistical significance for genome-wide experiments. Proc. Nat. Acad. Sci. USA, 2003, 100, 9440-9445). The level of statistical significance was set at 0.05 for all the comparisons.
 
Contributor(s) Vintonenko N, DiBenedetto M
Citation(s) 21858074
Submission date Jun 25, 2009
Last update date Jul 26, 2018
Contact name Nadejda Vintonenko
E-mail(s) nadvinton@hotmail.com
Fax 33(0)153724027
Organization name Inserm
Lab INSERM U553
Street address 1 Avenue Claude Vellefaux
City Paris
ZIP/Postal code 75010
Country France
 
Platforms (1)
GPL6244 [HuGene-1_0-st] Affymetrix Human Gene 1.0 ST Array [transcript (gene) version]
Samples (8)
GSM422235 INV subpopulation of MDA-MB-231 cell line, biological rep1
GSM422236 REF subpopulation of MDA-MB-231 cell line, biological rep1
GSM422237 INV subpopulation of MDA-MB-231 cell line, biological rep2
Relations
BioProject PRJNA117603

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
GSE16838_Inv-Ref_affy_Normalized_Data.txt.gz 2.4 Mb (ftp)(http) TXT
GSE16838_RAW.tar 33.3 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table
Processed data are available on Series record

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