Accordingly, cellular velocities were substantially increased (Fig.?5). cellular pathways in mammary epithelial cells are likely to contribute to the development and progression of breast malignancy. MCF10AWT, MCF10AeGFP, MCF10AGIRK1 and MCF10AGIRK1 treated with 200 nmole/L tertiapin-Q. (B) Membrane resting potentials of MCF7 cells. MCF7WT, MCF7eYFP, MCF7AeGFP, MCF7GIRK1/eYFP, MCF7GIRK1 and MCF7GIRK1 treated with 200 nmole/L tertiapin-Q. Number of experiments is given in parenthesis above each bar. *,(***): The group differs statistically significant from at the p?0.05 (<0.001) level. #: The group differs statistically significant from at the p?0.05 level.?+?, (++,+++): The group differs statistically significant from at the p?0.05 (<0.01, <0.001) level. GIRK1 overexpression triggers several pro-tumorigenic pathways in benign MECs In order to identify a possible cancerogenic influence of GIRK1 overexpression in AZD3229 Tosylate benign MECs, transcriptomes of MCF10AGIRK1 were compared to the ones of MCF10AeGFP. Unexpected for the overexpression of a single K+ channel subunit, a high number of transcripts were sizably up- or downregulated upon GIRK1 overexpression (Fig.?3A). Analysis and classification into functionally related groups of genes using the Database for Annotation, Visualization and Integrated Discovery (DAVID) revealed that many of these transcripts are regulated towards specific cellular functions and pro-tumorigenic action. In Fig.?3B, significantly regulated clusters that were of interest are shown (see discussion section for detailed concern of pathways and the role of individual components in breast malignancy). Enrichment scores (ES), p-values and FDRs for all those significant clusters are shown in Supplementary Table?S3. Heat maps of selected clusters are shown in Fig.?3C, displaying the quantitative effect that underscores the amount of cellular regulation exerted by GIRK1 overexpression (Fig.?3C). Heat maps of all significantly enriched clusters are shown in Supplementary Figures?S3, S4. Open in a separate window Physique 3 AZD3229 Tosylate Effect of GIRK1 overexpression on transcriptome of MCF10A cells. Number of significantly up- or AZD3229 Tosylate downregulated transcripts when MCF10AeGFP are compared to MCF10AGIRK1. upregulated transcripts, downregulated transcripts. (A) Top nine gene ontology clusters derived by DAVID functional clustering. (B) Heat maps displaying the fold changes of expression levels of AZD3229 Tosylate the top 50 genes of selected GO terms. Interferon- response. extracellular matrix conversation. cell migration and wound healing. color coding for the log2 fold change. GIRK1 overexpression promotes cellular migration GIRK1 overexpression in MCF10A brought on the downregulation of GO clusters about cell migration, motility, and locomotion (In particular GO:0006928, GO:0030335, GO:2000147, GO:0051272, GO:0040017, GO:0040011, GO:0030334, GO:2000145, GO:0040012, GO:0016477, GO:0051270, GO:0051674, GO:0048870, GO:0006935 and GO:0042330; see also Supplementary Table?3). Many genes in these GO terms promote cellular migration and metastatic spread of tumor cells (see discussion section for selected examples). The fact that GIRK1 overexpression leads to downregulation of these GO terms and genes prompts to study cellular motility and velocity of the MCF10A and MCF7 based cell lines. GIRK1 overexpression greatly enhanced migration of MCF10A as assessed via cellular motility coefficient (Fig.?4; see supplementary videos for representative examples of each experimental group (MCF10A_GIRK1_motility.mp4; Mouse monoclonal to HSPA5 MCF10A_eGFP_motility.mp4; MCF10A_WT_motility.mp4; MCF7_GIRK1_motility.mp4; MCF7_eGFP_motility.mp4 and MCF7_WT_motility.mp4)). Accordingly, cellular velocities were substantially increased (Fig.?5). Enhanced migration could also be observed in malignant MCF7GIRK1 cells, but the effect was muted compared to MCF10A. The most motile third of MCF7GIRK1 cells displayed increased cell motility when compared to MCF7eGFP, while cellular velocities were virtually unchanged (Figs.?6, ?,77). Open in a separate window Physique 4 Cellular migration of MCF10A cells. (A) Migration of 5 selected MCF10AGIRK1 cells over the entire observation interval. flower plots showing cellular trajectories. Starting position of each individual cell was set to the same position, indicated by grey circle. Colored circle indicates the positon of a cell after 72?h. squared distance as a function of time for the five cells shown to the left (circles; bars indicate standard error). Lines represent linear fits through the data. (B) Same as (A), but MCF10AeGFP. (C) Statistical analysis of motility coefficients derived from the different experimental groups. MCF10AWT, MCF10AeGFP and MCF10AGIRK1. The median value is represented by the black line within the box, box margins represent 75% and 25% percentiles, whiskers indicate 90% and 10% percentiles. The red line represents the mean value. Individual values are shown as dots. The number of individual cells is usually given in parenthesis besides each box. Statistically significant differences between groups are indicated by brackets. Open in a separate window Physique 5 Cellular velocities of MCF10A cells. (A) Cellular velocities for five representative cells during the.