In vitro three-dimensional modeling of fallopian tube secretory epithelial cells
- Equal contributors
1 Department of Preventive Medicine, University of Southern California/Keck School of Medicine, 1450 Biggy Street, Los Angeles, California
2 Gynaecological Cancer Research Laboratories, UCL EGA Institute for Women’s Health, University College London, The Paul O’Gorman Building, Gower Street, London WC1E 6DD, UK
3 Department of Histopathology, Cancer Institute, University College London, Rockefeller Building, University Street, London WC1E 6JJ, UK
4 Faculty of Medical and Human Sciences, 1st Floor, Innovation Centre, Core Technology Facility, The University of Manchester, 46 Grafton Street, Manchester M13 9NT, UK
BMC Cell Biology 2013, 14:43 doi:10.1186/1471-2121-14-43Published: 27 September 2013
Additional file 1: Table S1:
Gene expression microarray analysis of gene expression changes associated with transfer of fallopian tube secretory epithelial cells (FTSECs) from a 2D to a 3D microenvironment. The 100 most significantly changing genes in 3D cultured FTSECs compared to 2D cultured FTSECs. 53 genes were significantly upregulated, 47 genes were significantly downregulated.
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Additional file 2: Figure S1:
Validation of genes identified as differentially expressed in 2D and 3D cultured FTSECs. We validated the top 3 up- and downregulated genes by qPCR.
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Additional file 3: Figure S2:
Cluster analyses comparing genome-wide transcriptomic profiles of 2D and 3D cultured FTSECs to follicular and luteal phase fallopian tube epithelium. Each point on the graph indicates an individual microarray profile, technical replicates of cultured cells are shown by colored circles, open circles denoting 2D cultured cells and closed circles denoting 3D cultured FTSECs. Black open circles indicate follicular phase fallopian tube epithelial samples, closed circles indicate luteal phase fallopian tube epithelium. Each point represents an individual patient. All patients from Georges et al. and Tone et al. [17,18] datasets are shown. Clustering is consistent regardless of cluster method used (a) Euclidean Spearman, (b) maximum Pearson and (c) maximum Spearman.
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