Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2020 Apr 21:9:e51019.
doi: 10.7554/eLife.51019.

Replication Study: A coding-independent function of gene and pseudogene mRNAs regulates tumour biology

Collaborators, Affiliations

Replication Study: A coding-independent function of gene and pseudogene mRNAs regulates tumour biology

John Kerwin et al. Elife. .

Abstract

As part of the Reproducibility Project: Cancer Biology we published a Registered Report (Khan et al., 2015), that described how we intended to replicate selected experiments from the paper "A coding-independent function of gene and pseudogene mRNAs regulates tumour biology" (Poliseno et al., 2010). Here we report the results. We found PTEN depletion in the prostate cancer cell line DU145 did not detectably impact expression of the corresponding pseudogene PTENP1. Similarly, depletion of PTENP1 did not impact PTEN mRNA levels. The original study reported PTEN or PTENP1 depletion statistically reduced the corresponding pseudogene or gene (Figure 2G; Poliseno et al., 2010). PTEN and/or PTENP1 depletion in DU145 cells decreased PTEN protein expression, which was similar to the original study (Figure 2H; Poliseno et al., 2010). Further, depletion of PTEN and/or PTENP1 increased DU145 proliferation compared to non-targeting siRNA, which was in the same direction as the original study (Figure 2F; Poliseno et al., 2010), but not statistically significant. We found PTEN 3'UTR overexpression in DU145 cells did not impact PTENP1 expression, while the original study reported PTEN 3'UTR increased PTENP1 levels (Figure 4A; Poliseno et al., 2010). Overexpression of PTEN 3'UTR also statistically decreased DU145 proliferation compared to controls, which was similar to the findings reported in the original study (Figure 4A; Poliseno et al., 2010). Differences between the original study and this replication attempt, such as level of knockdown efficiency and cellular confluence, are factors that might have influenced the results. Finally, where possible, we report meta-analyses for each result.

Keywords: Noncoding RNA; PTEN; cancer biology; human; metascience; pseudogene; replication; reproducibility.

PubMed Disclaimer

Conflict of interest statement

JK University of Maryland College Park is a Science Exchange associated lab. IK Alamo Laboratories Inc is a Science Exchange associated lab. EI, RT, NP: Employed by and hold shares in Science Exchange Inc.

Figures

Figure 1.
Figure 1.. Cell growth of DU145 cells depleted of PTEN and/or PTENP1.
DU145 cells were transfected with either a non-targeting siRNA (siLUC), si-PTEN, si-PTENP1, or an siRNA pool targeting PTEN and PTENP1 (si-PTEN/PTENP1), or not transfected. Crystal violet proliferation assays were performed each day as indicated starting the day after transfection. Relative cell number was calculated relative to the average Day 0 values for each condition. Means reported and error bars represent SD from five independent biological repeats. Two-way ANOVA interaction between PTEN (targeted or not-targeted) and PTENP1 (targeted or not-targeted) on Day 5 relative cell numbers: F(1,16) = 0.02, p=0.878; main effect of PTEN: F(1,16) = 0.15, p=0.703; main effect of PTENP1: F(1,16) = 13.8, p=0.0019. Planned contrasts between siLUC and si-PTEN: t(16) = 0.38, uncorrected p=0.705 with a priori Bonferroni adjusted significance threshold of 0.01, Bonferroni corrected p>0.99; siLUC and si-PTENP1: t(16) = 2.73, uncorrected p=0.015, Bonferroni corrected p=0.074; siLUC and si-PTEN/PTENP1: t(16) = 2.90, uncorrected p=0.011, Bonferroni corrected p=0.053; si-PTEN/PTENP1 and si-PTEN: t(16) = 2.51, uncorrected p=0.023, Bonferroni corrected p=0.115; si-PTEN/PTENP1 and si-PTENP1: t(16) = 0.16, uncorrected p=0.872, Bonferroni corrected p>0.99. Additional details for this experiment can be found at https://osf.io/kjmxj/.
Figure 1—figure supplement 1.
Figure 1—figure supplement 1.. Alternative visualization of cell growth.
This is the same experiment as Figure 1. (A) Relative cell numbers were natural log transformed with means reported and error bars represent SD. (B) The area under the curve (AUC) was calculated for each condition of each biological repeat (n = 5). Box and whisker plot with median represented as the line through the box, individual AUC values represented as dots, and whiskers representing values within 1.5 IQR of the first and third quartile (y-axis is natural log scale). Two-way ANOVA interaction between PTEN (targeted or not-targeted) and PTENP1 (targeted or not-targeted) on AUC values: F(1,16) = 0.0015, p=0.970; main effect of PTEN: F(1,16) = 0.033, p=0.858; main effect of PTENP1: F(1,16) = 13.3, p=0.0022. Planned contrasts between siLUC and si-PTEN: t(16) = 0.16, uncorrected p=0.878 with a priori Bonferroni adjusted significance threshold of 0.01, Bonferroni corrected p>0.99; siLUC and si-PTENP1: t(16) = 2.60, uncorrected p=0.019, Bonferroni corrected p=0.115; siLUC and si-PTEN/PTENP1: t(16) = 2.71, uncorrected p=0.016, Bonferroni corrected p=0.093; si-PTEN/PTENP1 and si-PTEN: t(16) = 2.55, uncorrected p=0.021, Bonferroni corrected p=0.128; si-PTEN/PTENP1 and si-PTENP1: t(16) = 0.10, uncorrected p=0.920, Bonferroni corrected p>0.99. Additional details for this experiment can be found at https://osf.io/kjmxj/.
Figure 2.
Figure 2.. PTEN and PTENP1 abundance in DU145 cells depleted of PTEN and/or PTENP1.
DU145 cells were transfected with either a non-targeting siRNA (siLUC), si-PTEN, si-PTENP1, or an siRNA pool targeting PTEN and PTENP1 (si-PTEN/PTENP1), or not transfected. Total RNA was isolated 24 hr later and qRT-PCR analysis was performed to detect PTEN, PTENP1, and ß-ACTIN levels. (A) Fold change in PTEN expression (PTEN/ß-ACTIN) is presented for each condition relative to siLUC cells. Means reported and error bars represent SD from five independent biological repeats. Two-way ANOVA interaction between PTEN (targeted or not-targeted) and PTENP1 (targeted or not-targeted) on PTEN expression: F(1,16) = 0.41, p=0.532; main effect of PTEN: F(1,16) = 35.5, p=2.01×10−5; main effect of PTENP1: F(1,16) = 0.21, p=0.651. Planned contrasts between siLUC and si-PTEN for PTEN expression: t(16) = 4.66, uncorrected p=0.00026 with a priori Bonferroni adjusted significance threshold of 0.0083, Bonferroni corrected p=0.0016; siLUC and si-PTENP1: t(16) = 0.78, uncorrected p=0.448, Bonferroni corrected p>0.99; siLUC and si-PTEN/PTENP1: t(16) = 4.54, uncorrected p=0.00034, Bonferroni corrected p=0.0020. (B) Fold change in PTENP1 expression (PTENP1/ß-ACTIN) is presented for each condition relative to siLUC cells. Means reported and error bars represent SD from five independent biological repeats. Two-way ANOVA interaction on PTENP1 expression: F(1,16) = 2.03, p=0.174; main effect of PTEN: F(1,16) = 0.019, p=0.891; main effect of PTENP1: F(1,16) = 16.6, p=0.00088. Planned contrasts between siLUC and si-PTEN for PTENP1 expression: t(16) = 1.10, uncorrected p=0.286 with a priori Bonferroni adjusted significance threshold of 0.0083, Bonferroni corrected p>0.99; siLUC and si-PTENP1: t(16) = 3.89, uncorrected p=0.0013, Bonferroni corrected p=0.0079; siLUC and si-PTEN/PTENP1: t(16) = 2.98, uncorrected p=0.0089, Bonferroni corrected p=0.053. Additional details for this experiment can be found at https://osf.io/4uard/.
Figure 2—figure supplement 1.
Figure 2—figure supplement 1.. PTEN and PTENP1 abundance using 36B4 to normalize expression.
This is the same experiment as Figure 2, but with PTEN and PTENP1 expression normalized to 36B4 instead of ß-ACTIN. (A) Fold change in PTEN expression (PTEN/36B4) is presented for each condition relative to siLUC cells. Means reported and error bars represent SD from five independent biological repeats. Exploratory analysis: Two-way ANOVA interaction between PTEN (targeted or not-targeted) and PTENP1 (targeted or not-targeted) on PTEN expression: F(1,16) = 0.29, p=0.600; main effect of PTEN: F(1,16) = 280.5, p=1.45×10−11; main effect of PTENP1: F(1,16) = 1.88, p=0.190. Planned contrasts between siLUC and si-PTEN for PTEN expression: t(16) = 12.2, uncorrected p=1.58×10−9 with a priori Bonferroni adjusted significance threshold of 0.0083, Bonferroni corrected p=9.48×10−9; siLUC and si-PTENP1: t(16) = 1.35, uncorrected p=0.197, Bonferroni corrected p>0.99; siLUC and si-PTEN/PTENP1: t(16) = 12.8, uncorrected p=7.93×10−10, Bonferroni corrected p=4.76×10−9. (B) Fold change in PTENP1 expression (PTENP1/36B4) is presented for each condition relative to siLUC cells. Means reported and error bars represent SD from five independent biological repeats. Exploratory analysis: Two-way ANOVA interaction on PTENP1 expression: F(1,16) = 2.07, p=0.170; main effect of PTEN: F(1,16) = 0.55, p=0.471; main effect of PTENP1: F(1,16) = 38.2, p=1.32×10−5. Planned contrasts between siLUC and si-PTEN for PTENP1 expression: t(16) = 1.54, uncorrected p=0.143 with a priori Bonferroni adjusted significance threshold of 0.0083, Bonferroni corrected p=0.860; siLUC and si-PTENP1: t(16) = 5.39, uncorrected p=6.06×10−5, Bonferroni corrected p=0.00036; siLUC and si-PTEN/PTENP1: t(16) = 4.89, uncorrected p=0.00016, Bonferroni corrected p=0.00098. Additional details for this experiment can be found at https://osf.io/4uard/.
Figure 3.
Figure 3.. PTEN expression in DU145 cells depleted of PTEN and/or PTENP1.
DU145 cells were transfected with either a non-targeting siRNA (siLUC), si-PTEN, si-PTENP1, or an siRNA pool targeting PTEN and PTENP1 (si-PTEN/PTENP1), or not transfected. Cells were harvested 48 hr later for Western blot analysis. (A) Relative protein expression (PTEN/HSP90) are presented for each condition. Western blot bands were quantified, PTEN levels were normalized to HSP90, then for each biological repeat values were normalized to the untransfected condition with protein expression presented relative to siLuc. Dot plot of independent biological repeats (n = 5), means reported as crossbars and error bars represent 95% CI. Data reported in Figure 2H of Poliseno et al. (2010) is displayed as a single point (small dark red circle) for comparison. Planned comparisons (two-tailed Wilcoxon-Mann-Whitney tests): siLUC and si-PTEN: U = 25, uncorrected p=0.0079 with a priori Bonferroni adjusted significance threshold of 0.01, Bonferroni corrected p=0.040; siLUC and si-PTENP1: U = 21, uncorrected p=0.095, Bonferroni corrected p=0.476; siLUC and si-PTEN/PTENP1: U = 25, uncorrected p=0.0079, Bonferroni corrected p=0.040; si-PTEN/PTENP1 and si-PTEN: U = 6, uncorrected p=0.222, Bonferroni corrected p>0.99; si-PTEN/PTENP1 and si-PTENP1: U = 0, uncorrected p=0.0079, Bonferroni corrected p=0.040. (B) Representative Western blots probed with an anti-PTEN antibody (two exposures presented to facilitate detection) and anti-HSP90 antibody. Relative PTEN/HSP90 expressions are reported below PTEN images. Additional details for this experiment can be found at https://osf.io/re87y/.
Figure 4.
Figure 4.. PTENP1 abundance in DU145 cells expressing PTEN 3’UTR.
DU145 cells were transfected with either a vector control plasmid (pCMV) or a plasmid to express PTEN 3’UTR (pCMV-PTEN), or not transfected. Total RNA was isolated 24 hr later and qRT-PCR analysis was performed to detect PTENP1 and ß-ACTIN levels. Fold change in PTENP1 expression (PTENP1/ß-ACTIN) is presented for each condition relative to pCMV transfected cells. Means reported and error bars represent SD from three independent biological repeats. Unpaired two-tailed Student’s t test between pCMV and pCMV-PTEN: t(4) = 0.46, p=0.671. Additional details for this experiment can be found at https://osf.io/rkuxh/.
Figure 4—figure supplement 1.
Figure 4—figure supplement 1.. PTENP1 abundance using 36B4 to normalize expression.
This is the same experiment as Figure 4, but with PTENP1 expression normalized to 36B4 instead of ß-ACTIN. Fold change in PTENP1 expression (PTENP1/36B4) is presented for each condition relative to pCMV transfected cells. Means reported and error bars represent SD from three independent biological repeats. Exploratory analysis: Unpaired two-tailed Student’s t test between pCMV and pCMV-PTEN: t(4) = 0.18, p=0.865. Additional details for this experiment can be found at https://osf.io/rkuxh/.
Figure 5.
Figure 5.. Cell growth of DU145 cells expressing PTEN 3’UTR.
DU145 cells were transfected with either vector control plasmid (pCMV) or a plasmid to express PTEN 3’UTR (pCMV-PTEN), or not transfected. Crystal violet proliferation assays were performed each day as indicated starting the day after transfection. Relative cell number was calculated relative to the average Day 0 values for each condition. Means reported and error bars represent SD from three independent biological repeats. Unpaired two-tailed Student’s t test between pCMV and pCMV-PTEN on Day five relative cell numbers: t(4) = 9.25, p=0.00076. Additional details for this experiment can be found at https://osf.io/jgp6n/.
Figure 5—figure supplement 1.
Figure 5—figure supplement 1.. Alternative visualization of cell growth.
This is the same experiment as Figure 5. (A) Relative cell numbers were natural log transformed with means reported and error bars represent SD. (B) AUC was calculated for each condition of each biological repeat (n = 3). Box and whisker plot with median represented as the line through the box, individual AUC values represented as dots, and whiskers representing values within 1.5 IQR of the first and third quartile (y-axis is natural log scale). Unpaired two-tailed Student’s t test between pCMV and pCMV-PTEN on AUC values: t(4) = 5.52, p=0.00528. Additional details for this experiment can be found at https://osf.io/jgp6n/.
Figure 6.
Figure 6.. Meta-analyses of each effect.
Effect size and 95% confidence interval are presented for Poliseno et al. (2010), this replication study (RP:CB), and a random effects meta-analysis of those two effects. Cohen’s d and Glass’ delta are standardized differences between the two indicated measurements with the calculated effects for the original study effects reported as positive values. Sample sizes used in Poliseno et al. (2010) and RP:CB are reported under the study name. (A) These effects are related to the change in Day 5 relative cell numbers between the conditions reported in Figure 1 of this study and Figure 2F of Poliseno et al. (2010). Meta-analysis p values: siLUC and si-PTEN (p=0.394); siLUC and si-PTENP1 (p=0.129); siLUC and si-PTEN/PTENP1 (p=0.330); si-PTEN/PTENP1 and si-PTEN (p=0.202); si-PTEN/PTENP1 and si-PTENP1 (p=0.403). (B) These effects are related to the fold change differences in PTEN and PTENP1 expression between the conditions reported in Figure 2 of this study and Figure 2G of Poliseno et al. (2010). Meta-analysis p values: PTEN expression between siLUC and si-PTEN (p=0.0013); PTEN expression between siLUC and si-PTENP1 (p=0.244); PTEN expression between siLUC and si-PTEN/PTENP1 (p=0.0019); PTENP1 expression between siLUC and si-PTEN (p=0.225); PTENP1 expression between siLUC and si-PTENP1 (p=0.060); PTENP1 expression between siLUC and si-PTEN/PTENP1 (p=0.049). (C) These effects are related to the fold change differences in PTENP1 expression between pCMV and pCMV-PTEN-3’UTR reported in Figure 4 of this study and Figure 4A of Poliseno et al. (2010) (meta-analysis p=0.485). (D) These effects are related to the change in Day 5 relative cell numbers between pCMV and pCMV-PTEN-3’UTR reported in Figure 5 of this study and Figure 4A of Poliseno et al. (2010) (meta-analysis p=0.0093). Additional details for these meta-analyses can be found at https://osf.io/9yh6p/.

Comment in

Similar articles

Cited by

References

    1. Antczak C, Mahida JP, Singh C, Calder PA, Djaballah H. A high content assay to assess cellular fitness. Combinatorial Chemistry & High Throughput Screening. 2014;17:12–24. doi: 10.2174/13862073113169990056. - DOI - PMC - PubMed
    1. Bailoo JD, Reichlin TS, Würbel H. Refinement of experimental design and conduct in laboratory animal research. ILAR Journal. 2014;55:383–391. doi: 10.1093/ilar/ilu037. - DOI - PubMed
    1. Boregowda SV, Krishnappa V, Chambers JW, Lograsso PV, Lai WT, Ortiz LA, Phinney DG. Atmospheric oxygen inhibits growth and differentiation of marrow-derived mouse mesenchymal stem cells via a p53-dependent mechanism: implications for long-term culture expansion. Stem Cells. 2012;30:975–987. doi: 10.1002/stem.1069. - DOI - PMC - PubMed
    1. Chan JJ, Kwok ZH, Chew XH, Zhang B, Liu C, Soong TW, Yang H, Tay Y. A FTH1 gene:pseudogene:microRNA network regulates tumorigenesis in prostate cancer. Nucleic Acids Research. 2018;46:1998–2011. doi: 10.1093/nar/gkx1248. - DOI - PMC - PubMed
    1. Chen C-L, Tseng Y-W, Wu J-C, Chen G-Y, Lin K-C, Hwang S-M, Hu Y-C. Suppression of hepatocellular carcinoma by baculovirus-mediated expression of long non-coding RNA PTENP1 and MicroRNA regulation. Biomaterials. 2015;44:71–81. doi: 10.1016/j.biomaterials.2014.12.023. - DOI - PubMed

Publication types

Grants and funding

The funder had no role in study design, data collection and interpretation, or the decision to submit the work for publication.