Bivariate statistical analysis was carried out using the student’

Bivariate statistical analysis was carried out using the student’s t-test with the level of statistical significance taken as p < 0.05. Results NET1 Expression is upregulated in oesophageal cancer cells Relative NET1 mRNA expression across all six cell lines is shown in Table 2. Het1a (normal) cell line set at an arbitrary reference value of 1. There is a marked higher level of expression in the OE33 cell line. Because of this high NET1 level we chose this cell line for further experiments to characterise the role of NET1 in oesophageal cancer. Looking at other in vitro GI cancer models (Additional file 1: Figure S1), the OE33 cell line had greater NET1 mRNA expression compared to gastric (AGS) and colorectal

(SW480) adenocarcinoma models. Table 2 NET-1 mRNA expression in Barrett’s CRT0066101 datasheet oesophagus and oesophageal cancer cell lines relative to het1a (normal) oesophageal cell line Cell line Description Mean NET1 expression Standard deviation Het1a Normal oesophagus 1.0 0 QhTERT Non-dysplastic Barretts epithelium 54.8 65.5 GihTERT High grade dysplastic Barretts epithelium

2.8 2.5 JH-EsoAd1 C 2.8 2.5 OE19 OAC 61.5 30.3 OE33 Stage IIa, poorly differentiated OAC 180.4 178.4 Specific cell selleck lines are as identified in methods section. NET1 MRNA expression is modulated by targeted siRNA and LPA Optimal NET1 gene knockdown conditions were determined by dose–response and time-course transfections in OE33 cells. The most effective knockdown (76%) was observed at 10nM for 24 hours using NET1 duplex 1, as shown in Figure 1A (0.24 vs. control, p = 0.01). Similar effects on NET1 protein expression were shown by Western blot and immunofluorescence (Figure 1B and C). Figure 1 NET1 expression following knockdown by siRNA in OE33 cells. A) NET1 mRNA expression

after gene knockdown with NET1-specific siRNA oligonucleotide 1 (KD1), NET1 siRNA oligonucleotide (KD2) and both siRNA in combination (KD 1&2). B) Western blot showing NET1 protein expression in OE33 cells after gene knockdown, using tubulin expression as a control. Reduced expression was seen in NET1 knockdown compared to control. C) Immunofluorescence images from OE33 cells after siRNA NET1 gene knockdown. Reduced Oxymatrine fluorescence was observed for NET1 knockdown compared to (scrambled) control siRNA at 24 hours incubation. Secondary antibody control image is included for reference. Maximum LPA effect (1.6 fold rise in NET1 mRNA, p = 0.13) was seen at a treatment concentration of 5 μM for 4 hours, as shown in Figure 2A. Consistent with this, LPA treatment was shown to result in elevated Net1 protein levels (Figure 2B). Figure 2 NET1 expression following stimulation with LPA in OE33 cells. A) Effect of LPA stimulation on NET1 mRNA expression in OE33 cells. The most pronounced effect was seen at 5 μM where a 1.6 fold rise was observed (p = 0.13). B) NET1 protein expression in OE33 cells after stimulation with LPA. Tubulin was used as a housekeeper.

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