1. Cancer Biology
  2. Genetics and Genomics

Endogenous p53 expression in human and mouse is not regulated by its 3′UTR

  1. Sibylle Mitschka
  2. Christine Mayr  Is a corresponding author
  1. Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, United States
https://doi.org/10.7554/eLife.65700
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  1. Sibylle Mitschka
  2. Christine Mayr
(2021)
Endogenous p53 expression in human and mouse is not regulated by its 3′UTR
eLife 10:e65700.
https://doi.org/10.7554/eLife.65700
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Abstract

The TP53 gene encodes the tumor suppressor p53 which is functionally inactivated in many human cancers. Numerous studies suggested that 3′UTR-mediated p53 expression regulation plays a role in tumorigenesis and could be exploited for therapeutic purposes. However, these studies did not investigate post-transcriptional regulation of the native TP53 gene. Here, we used CRISPR/Cas9 to delete the human and mouse TP53/Trp53 3′UTRs while preserving endogenous mRNA processing. This revealed that the endogenous 3′UTR is not involved in regulating p53 mRNA or protein expression neither in steady state nor after genotoxic stress. Using reporter assays, we confirmed the previously observed repressive effects of the isolated 3′UTR. However, addition of the TP53 coding region to the reporter had a dominant negative impact on expression as its repressive effect was stronger and abrogated the contribution of the 3′UTR. Our data highlight the importance of genetic models in the validation of post-transcriptional gene regulatory effects.

Introduction

The transcription factor p53 coordinates the cellular stress response. p53 regulates expression of genes involved in cell cycle control, DNA repair, apoptosis, metabolism, and cell differentiation (Kastenhuber and Lowe, 2017), thus allowing cells to adequately respond to various stimuli. In contrast to most other stress sensors, p53 is not dependent on de novo transcription as the TP53 gene is continuously transcribed even in unstressed cells. This mechanism reduces the time of delay between signal detection and downstream responses. To avoid activation of p53 in unstressed cells, p53 protein levels are controlled by rapid protein degradation induced by MDM2 (Haupt et al., 1997; Kubbutat et al., 1997).

Reduced levels or insufficient p53 activity are major risk factors for the development of cancer and more than half of all human cancers exhibit diminished p53 expression or function (Kastenhuber and Lowe, 2017). In contrast, hyperactive p53 has been linked to impaired wound healing, obesity, and accelerated aging (Rufini et al., 2013). These phenomena highlight the importance of p53 protein abundance and activity regulation in human health.

For many years, the 3′ untranslated region (3′UTR) of the TP53 mRNA has been a widely studied element of p53 expression regulation. 3′UTRs are essential for facilitating pre-mRNA processing. In addition, they can also recruit microRNAs (miRNAs), RNA-binding proteins, and lncRNAs which can modulate mRNA stability and protein translation (Tian and Manley, 2017; Mayr, 2019). The human TP53 3′UTR contains experimentally characterized binding sites for 23 miRNAs, 1 lncRNA, and 6 RNA-binding proteins (Haronikova et al., 2019). A large number of experiments demonstrated the repressive nature of the TP53 3′UTR using synthetic reporter assays under steady-state conditions (Table 1; Haronikova et al., 2019). In addition, the TP53 3′UTR was shown to facilitate an increase in p53 translation after genotoxic stress (Fu and Benchimol, 1997; Mazan-Mamczarz et al., 2003; Chen and Kastan, 2010). Together, this large body of work strongly suggested that miRNAs and RNA-binding proteins prevent p53 hyperactivation under normal conditions and help to upregulate p53 protein translation after exposure to genotoxic stress (Fu and Benchimol, 1997; Mazan-Mamczarz et al., 2003; Chen and Kastan, 2010).

Table 1
Previously reported evidence of miRNAs, lncRNAs, and RNA-binding proteins that target the TP53 3′UTR.
Interactors of the human TP53 mRNA mapping to the last exon
NameTypeBinding region (NM_000546.6)Affected in dUTR allele?ExperimentsReferences (PMID)Average
PhyloP score
miR-1228–3 pmiRNA1422–1428yesLRA, RT-qPCR, IHC, WB254229131.003
miR-125a-5pmiRNA2044–2063yesLRA, NB, RT-qPCR, WB19818772−0.120
miR-125b-5pmiRNA2043–2064yesLRA, ISH, RT-qPCR, WB19293287,
21935352,
27592685		−0.105
miR-1285–3 pmiRNA2113–2134yesLRA, RT-qPCR, WB20417621−0.061
miR-150–5 pmiRNA1568–1580yesLRA, WB23747308−0.323
miR-151a-5pmiRNA2304–2325yesLRA, ChIP-seq, RT-qPCR, WB27191259−0.053
miR-200a-3pmiRNA2269–2291yesLRA, WB23144891−0.039
miR-24–3 pmiRNA2352–2374yesLRA, IHC, RT-qPCR, WB277801400.018
miR-25–3 pmiRNA1401–1423yesLRA, RT-qPCR, WB209356780.438
miR-30d-5pmiRNA1596–1618yesLRA, RT-qPCR, WB20935678−0.432
miR-375miRNA1462–1483yesLRA, Flow, RT-qPCR, WB, IF23835407−0.595
miR-663amiRNA1260–1281no (in CDS)LRA271055171.520
miR-504miRNA2059–2066,
2387–2395		yes, noLRA, RT-qPCR, WB205420010.130
0.203
miR-92miRNA1417–1422yesLRA, WB211125620.102
miR-141miRNA2285–2290yesLRA, WB21112562−0.031
miR-638miRNA1381–1404yesLRA, WB, IP250884220.313
miR-3151miRNA1337–1354yesLRA, WB, RT-qPCR24736457−0.329
miR-33miRNA1957–1980yesLRA, WB207030860.138
miR-380–5 pmiRNA1909–1936,
1943–1974		yes, yesLRA, WB208716090.121
0.089
miR-19bmiRNA1712–1734yesLRA, WB247429360.402
miR-15amiRNA2394–2414noLRA, WB212059670.045
miR-16miRNA2394–2415noLRA, WB212059670.015
miR-584miRNA1263–1284no (in CDS)LRA, WB, IP250884221.646
WIG1RBP2064–2106yesLRA, IP, RT-qPCR19805223−0.071
PARNRBP2071–2102yesLRA, EMSA, IP, RT-qPCR23401530−0.097
CPEB1RBP2458–2500noIP, RT-PCR191414771.654
RBM38
(RNPC1)		RBP2064–2106yesEMSA, IP, RT-PCR,
Polysome gradient		21764855,
24142875,
25823026		−0.071
RBM24RBP2064–2106yesLRA, EMSA, IP, RT-qPCR,29358667−0.071
HURRBP2064–2106,
2393–2412,
2458–2505		yes, yes, noLRA, EMSA, WB, RT-qPCR12821781,
14517280,
16690610,
18680106		−0.071
0.007
1.496
7SLlncRNA2107–2149,
2194–2240,
2269–2301,
2307–2362		yes, yes, yes, yesLRA, IP, WB25123665−0.158
−0.110
0.015
−0.015
miR-92a-3pmiRNA1646–1666yesLRA, WB22451425−0.122
TIA1RBP1426–1442
1702–1731		yes, noLRA, iCLIP289043500.066
0.715
HzfRBP1345–1395
1529–1574		yes, yesLRA, EMSA, WB, IP,
RT-qPCR, Polysome gradient		21402775−0.450
0.156

  1. LRA: luciferase reporter assay; WB: western blot; IP: co-immunoprecipitation assay; RT-qPCR: quantitative reverse transcription PCR; NB: northern blot; IHC: immunohistochemistry; ISH: In situ hybridization; EMSA: electromobility shift assay.

These findings also suggested that deregulation of p53 expression through mechanisms involving its 3′UTR could be a major disease driver as well as a potential target for treatment (Kasinski and Slack, 2011; Hermeking, 2012). In particular, miRNAs targeting the TP53 mRNA were previously established as putative gatekeepers that prevent p53 hyperactivation and some of these miRNAs are also elevated in cancer, e.g. miR-504, miR-30d, and miR-125 (Hu et al., 2010; Li et al., 2012; Banzhaf-Strathmann and Edbauer, 2014). This has sparked an interest in exploiting 3′UTR-mediated expression regulation for therapeutic applications using novel miRNA-based approaches (Kasinski and Slack, 2011; Hermeking, 2012). However, the role of the 3′UTR in regulating p53 expression regulation has not been investigated using the endogenous TP53 mRNA and the potential benefit of these approaches remains unknown.

In order to evaluate the contribution of the TP53 3′UTR to p53 expression regulation, we removed the TP53 and Trp53 3′UTRs at orthologous human and mouse gene loci while keeping mRNA processing intact. In HCT116 cells and in mouse tissues, we did not observe 3′UTR-dependent differences in p53 mRNA or protein levels under normal conditions or after DNA damage. These results suggest that the 3′UTR of TP53 typically has no function in regulating p53 abundance in its endogenous context. Consistent with previous reports, we did observe that the TP53 3′UTR in isolation represses reporter expression in reporter assays. However, adding the TP53 coding region to the reporters entirely eliminated 3′UTR-dependent expression differences. Together, our results suggest that the TP53 coding region masks the repressive effects of the 3′UTR in the endogenous TP53 mRNA.

Results

Removal of the endogenous 3′UTR does not alter TP53 mRNA expression

3′UTRs are known to perform two general functions: They contain regulatory elements that enable mRNA 3′ end processing and they harbor elements that allow post-transcriptional gene regulation (Matoulkova et al., 2012). 3′ end processing is an essential part of mRNA maturation and is facilitated by the poly(A) signal together with surrounding sequence elements that bind the polyadenylation machinery (Martin et al., 2012). Based on genome-wide mapping of polyadenylation factor binding sites by CLIP, we consider the 3′UTR sequence that is located up to 100–150 nucleotides upstream of the cleavage site as essential for pre-mRNA processing (Martin et al., 2012). As the human TP53 3′UTR has a total length of about 1200 nucleotides, the additional sequence may enable regulatory functions by recruiting miRNAs and RNA-binding proteins. Indeed, the vast majority of previously characterized binding sites for miRNAs and RNA-binding proteins are located in the upstream, non-essential part of the TP53 3′UTR (Figure 1A, Table 1).

Figure 1 with 1 supplement see all
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Deletion of the endogenous 3′UTR does not alter TP53 mRNA level in human cells.

(A) Schematic of the human TP53 gene. The sequence deleted in dUTR cells is shown in blue. Tracks of binding sites for miRNAs, RNA-binding proteins, and lncRNAs are depicted below (see also Table 1). URE, U-rich element. CRISPR/Cas9-mediated deletions at the nucleotide level are shown in Figure 1—figure supplement 1. (B) Northern blot analysis of TP53 mRNA from WT and dUTR HEK293 cells. A probe that hybridizes to the TP53 coding region (CDS) reveals expression of a shortened TP53 mRNA in dUTR cells. The size difference is consistent with the length of the CRISPR/Cas9-induced deletion. A probe designed to bind the TP53 3′UTR does not produce a signal in the mRNA of dUTR cells, confirming deletion of this sequence element. The band of 18S rRNA is used as a loading control. * indicates an unspecific band originating from ribosomal RNA. (C) TP53 mRNA expression measured by RT-qPCR with a primer pair located in the 3′UTR in the indicated samples derived from HCT116 cells. KO, HCT116 TP53-/- cells. Data are shown as mean +s.d. of n = 5 independent experiments after normalization to GAPDH. Statistical analysis using ANOVA and Tukey’s post-hoc test with ***p<0.001, ns, not significant. (D) TP53 mRNA expression measured by RT-qPCR with a primer pair located in the CDS in the indicated samples derived from HCT116 cells. Data are shown as mean +s.d. of n = 5 independent experiments after normalization to GAPDH. Statistical analysis using ANOVA and Tukey’s post-hoc test with ***p<0.001, ns, not significant. (E) Experimental setup to estimate TP53 mRNA half-life. Metabolic labeling with 4-thiouridine (4sU) was used to enrich newly transcribed mRNAs. The newly transcribed RNAs were thiol-alkylated and biotinylated, followed by Streptavidin pull-down. Their relative abundance was measured using RT-qPCR. (F) TP53 mRNA half-life obtained by 4sU labeling as described in (E) is shown for the indicated samples derived from HCT116 cells in the presence or absence of etoposide for 4 hr (Eto, 20 µM). Shown is mean + s.d. from n = 3 independent experiments. Statistical analysis using ANOVA and Tukey’s post-hoc test with *p<0.05, **p<0.01, ns, not significant.

To investigate the role of the endogenous human TP53 3′UTR in post-transcriptional p53 regulation, we used a pair of CRISPR/Cas9 guide RNAs to delete the non-essential part of the 3′UTR in HEK293 cells and in the human colon carcinoma cell line HCT116, an established model for investigating p53-dependent functions (Figure 1A, blue, Figure 1—figure supplement 1A). The homozygous 3′UTR deletion, called ΔUTR (dUTR), removed 1048 nucleotides, corresponding to 88% of the 3′UTR in wild-type (WT) cells. The deletion affected almost all previously reported binding sites for regulatory miRNAs, lncRNAs, and RNA-binding proteins (Figure 1A, Table 1). We confirmed intact 3′ end processing of the mRNA by Northern blot analysis and observed expression of the expected shorter TP53 mRNA in dUTR cells (Figure 1B). As controls for all experiments, we used the HCT116 parental cell line and control (Ctrl) clones that underwent the genome editing procedure but have intact 3′UTRs (Figure 1—figure supplement 1A). We confirmed the presence and absence of the TP53 3′UTR in all HCT116 WT clones and dUTR clones by RT-qPCR using a primer pair in the deleted part of the 3′UTR (Figure 1C). We observed that one control clone showed slightly increased TP53 mRNA level compared to the parental WT cell line (Figure 1C). We then used a primer pair in the coding region and measured TP53 mRNA level in all control cells and the dUTR clones and observed similar TP53 mRNA level (Figure 1D). This was also true for HEK293 cells carrying the homozygous dUTR deletion (Figure 1—figure supplement 1B and C). This indicates that removal of the endogenous 3′UTR does not influence p53 steady-state mRNA levels.

Notably, mRNA levels are determined by transcription and degradation rates and both pathways could be affected by the deletion of the TP53 3′UTR. We measured TP53 mRNA half-lives in the absence and presence of DNA damage in all cell lines. To do so, we used 4-tiouridine (4sU) labeling followed by enrichment of newly transcribed mRNAs (Figure 1E; Russo et al., 2017). Among all clones, regardless of WT or dUTR genotype, we observed no difference in TP53 mRNA half-life (Figure 1F). However, all clones exhibited a slightly reduced TP53 mRNA half-life in comparison to the parental WT cell line (Figure 1F). This might be caused by metabolic changes occurring during clonal expansion of the cell lines. Overall, our data suggest that the 3′UTR does not impact TP53 mRNA level or half-life.

The endogenous 3′UTR is not involved in regulating p53 protein levels in steady state or after genotoxic stress

Next, we measured p53 protein levels in WT and dUTR cells using western blot analysis. We did not detect a significant difference in p53 protein level between WT and dUTR cells in steady-state conditions (Figure 2A and B). We also investigated the expression of shorter p53 protein isoforms that can be generated by alternative splicing or through alternative translation initiation. A prior study had proposed an interplay between cis-regulatory elements in the TP53 3′UTR and usage of a downstream start codon resulting in a p53 protein isoform lacking one of the N-terminal transactivation domains (Katoch et al., 2017). Importantly, the region that has been implicated in this process is deleted in our TP53 dUTR allele. Using a different monoclonal p53 antibody with broad isoform specificity, we found no differences in the expression pattern in p53 protein isoforms between dUTR and WT cells (Figure 2—figure supplement 1A and B). This suggests that under steady-state conditions, the TP53 3′UTR is not necessary for the regulation of p53 protein levels.

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Deletion of the endogenous TP53 3′UTR does not alter p53 protein level in steady state or after genotoxic stress.

(A) Representative immunoblot showing steady-state p53 protein expression in the indicated samples derived from HCT116 cells. Actin serves as loading control. See Figure 2—figure supplement 1 for additional information on p53 isoform expression. (B) Quantification of immunoblot data for steady-state p53 protein level. p53 expression data were normalized to Actin and the WT parental cell line. For each sample at least five biological replicates were measured. Statistical analysis using ANOVA. ns, not significant. (C) Representative immunoblots showing p53 protein levels after 4 hr of etoposide (Eto) treatment (0–32 µM) in WT, Ctrl clone #1, and dUTR clone #1 derived from HCT116 cells. Actin serves as loading control. (D) As in (C). Quantification of p53 protein expression from n = 4 independent experiments is shown as mean + s.d. Statistical analysis of cell line effect using ANOVA. ns, not significant. See Figure 2—source data 1 for raw data. (E) Representative immunoblot of samples from WT parental, Ctrl clone #1, and dUTR clone #1 derived from HCT116 cells that were treated with 0.5 µM Eto for 0, 24, or 48 hr (h). Actin serves as loading control. (F) As in (E). Quantification of p53 protein expression from n = 3 biological replicates is shown as mean +s.d. Statistical analysis of cell line effect using ANOVA. ns, not significant. See Figure 2—source data 1 for raw data. (G) As in (C), but cells were treated with 20 µM etoposide (Eto), 40 µM 5-fluorouridine (5-FU), or 50 J/m2 UV. Actin serves as loading control. (H) As in (G). Quantification of p53 protein expression after drug treatment. For each drug at least three biological replicates were measured. Shown is mean + s.d. Statistical analysis using ANOVA. ns, not significant.

Figure 2—source data 1

Raw values for Figure 2D, F.

https://cdn.elifesciences.org/articles/65700/elife-65700-fig2-data1-v2.xlsx

Next, we investigated the possibility that the TP53 3′UTR might have a role in stress-dependent p53 protein expression regulation. While TP53 mRNA expression does not change upon DNA damage, upregulation of p53 protein expression is achieved through increased translation rates and lower protein turnover (Kumari et al., 2014). Previous studies had suggested a role of the 3′UTR in the upregulation of p53 translation after exposure to genotoxic stress (Fu and Benchimol, 1997; Mazan-Mamczarz et al., 2003; Chen and Kastan, 2010). To assess stress-induced p53 expression regulation in dUTR cells, we treated cells with the topoisomerase inhibitor etoposide which is known to upregulate p53 protein expression by causing DNA double-strand breaks. We found that concentration-dependent upregulation of p53 protein expression was similar in parental, control clone, and dUTR cells (Figure 2C and D). In addition, p53 levels analyzed over a period of 2 days revealed similar p53 expression kinetics (Figure 2E and F). Finally, we tested additional stress stimuli including 5-fluorouracil (a thymidylate synthase inhibitor) or UV irradiation. These treatments robustly upregulated p53 protein across all cell lines, but with no significant differences in p53 expression between WT and dUTR cells (Figure 2G and H). We therefore concluded that the endogenous TP53 3′UTR is not required for p53 expression regulation neither in steady state nor after DNA damage.

The endogenous 3′UTR does not regulate p53 translation rates

We wondered whether a potential difference in translation rates of the TP53 mRNA lacking the 3′UTR might be masked by changes to p53 protein turnover. p53 protein turnover is primarily regulated by the ubiquitin ligase MDM2 (Momand et al., 1992; Haupt et al., 1997; Kubbutat et al., 1997). As transcription of MDM2 itself is activated by p53, the expression of both proteins is balanced by a negative feedback loop that could obscure a change in p53 synthesis rate. In order to assess p53 synthesis in the absence of MDM2-mediated degradation, we treated HCT116 cells with increasing concentrations of the MDM2 inhibitor Nutlin-3. If p53 translation rates from dUTR transcripts were indeed altered, the inhibition of MDM2-mediated p53 degradation would lead to differences in p53 accumulation. However, we observed that the concentration-dependent increase of p53 protein was similar between parental, control clone, and dUTR cells (Figure 3A and B).

Figure 3
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The endogenous TP53 3′UTR does not impact p53 protein synthesis and turnover.

(A) Immunoblot showing p53 protein levels after 4 hr of Nutlin-3 treatment (0–20 µM) in WT, Ctrl clone #1, and dUTR clone #1 derived from HCT116 cells. Actin serves as loading control. (B) As in (A). Quantification of p53 protein expression from n = 4 biological replicates is shown as mean +s.d. Statistical analysis of cell line effect using ANOVA. ns, not significant. See Figure 3—source data 1 for raw data. (C) Experimental setup to analyze p53 protein synthesis by metabolic labeling of proteins using the methionine analog azidohomoalanine (AHA) in the presence or absence of 20 µM etoposide. (D) Representative immunoblot for p53 synthesis assessed by metabolic labeling as shown in (C). The black triangle indicates the signal specific to p53 protein. (E) As in (D). Quantification of newly synthesized p53 protein using AHA-labeling for 2 hr. At least three biological replicates were measured in the presence or absence of 20 µM etoposide. Shown is mean +s.d. Statistical analysis using ANOVA. ns, not significant.

Figure 3—source data 1

Raw values for Figure 3B.

https://cdn.elifesciences.org/articles/65700/elife-65700-fig3-data1-v2.xlsx

In addition, we measured de novo p53 protein synthesis directly through metabolic labeling of proteins. For this purpose, we incubated HCT116 cells with the methionine analog azidohomoalanine (AHA) and quantified the relative abundance of labeled p53 protein in steady state and in the presence of etoposide (Figure 3C). As expected, etoposide treatment increased the amount of newly synthesiszed p53 protein. However, we observed that p53 protein synthesis was not significantly different between cell lines containing or lacking the TP53 3′UTR (Figure 3D and E). We therefore conclude that the mechanisms involved in regulating p53 protein synthesis and degradation are independent of the 3′UTR.

The TP53 coding region has a dominant repressive effect on reporter gene expression and overrides the contribution of the 3′UTR

We next wanted to understand why the removal of the 3′UTR in an endogenous context had such a different effect compared to what was observed in previous studies. Notably, earlier studies that investigated 3′UTR-dependent p53 regulation often used reporter genes as a proxy for endogenous p53 regulation (Table 1). We therefore cloned the human TP53 3′UTR (1207 nucleotides) or the dUTR fragment (159 nucleotides) downstream of a GFP open reading frame and expressed these constructs in TP53-/- HCT116 cells (Figure 4A). In the context of this reporter, the full-length TP53 3′UTR significantly reduced expression of both GFP mRNA and protein (Figure 4B and C) in comparison to the dUTR fragment or the commonly used BGH terminator sequence contained in the vector. This result was recapitulated when luciferase was used instead of GFP as a reporter, thus confirming previous findings (Figure 4—figure supplement 1A). We also included the 3′UTRs of three highly expressed human housekeeping genes (GAPDH, HPRT, and PGK1) to evaluate their effect on reporter gene expression. All three yielded higher reporter mRNA and protein expression than the full-length TP53 3′UTR but resulted in lower reporter gene expression than the TP53 dUTR construct, suggesting that the remaining 3′UTR fragment in dUTR cells is unlikely to contain additional repressive elements (Figure 4C).

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The p53 coding region has a dominant repressive effect on the expression of a reporter gene that overrides the contribution of the 3′UTR.

(A) FACS gating strategy to measure GFP protein expression in TP53-/- HCT116 cells. Live cells and single cells were used for downstream analysis. (B) Histogram plots from a representative FACS experiment. The gray area represents the untransfected, GFP-negative control population. Shown is GFP fluorescence intensity. (C) GFP protein levels were measured as mean fluorescence intensity (MFI) by FACS and GFP mRNA levels were measured by RT-qPCR using GAPDH as housekeeping gene in TP53-/- HCT116 cells. Shown is mean + s.d. of at least n = 3 independent experiments. CDS, coding sequence. Statistical analysis using ANOVA and Tukey’s post-hoc test with *p<0.05, **p<0.01, ***p<0.0001; ns, not significant. See Figure 4—figure supplement 1 for additional information.

We created a reporter construct called TP53 3′UTR (U-del) in which a ~ 40 nucleotide long U-rich element (URE) was deleted which contained the majority of previously annotated binding sites for RNA-binding proteins (Figure 1A). Relative to the original full-length 3′UTR, this construct increased mRNA and protein expression of the reporter (Figure 4C). These data confirm the negative impact of this U-rich element on reporter gene expression.

We next asked whether the endogenous sequence context could explain the apparent discrepancies between reporter assays and endogenous regulation. To address this question, we examined whether different parts of the TP53 mRNA can impact the expression of our reporter. We added the TP53 coding region (CDS) to our reporter constructs. We observed that the CDS-GFP fusion protein was expressed at much lower levels than GFP alone (Figure 4C, left panel). This could be due, at least in part, to the high p53 turnover stimulated by MDM2. Surprisingly though, we also observed significantly reduced levels of p53 CDS-GFP reporter mRNA compared to the GFP reporter. These data suggest a strong contribution of the CDS to TP53 mRNA stability regulation (Figure 4C, right panel). Notably, the relative effect size of the CDS on the mRNA levels of the reporter was larger than with any of the tested 3′UTR constructs. Moreover, in the context of the coding region, none of the tested 3′UTR sequences (including the 3′UTRs of different housekeeping genes) had any impact on mRNA or protein expression of the reporter (Figure 4C). Together, these results suggest that the coding region’s impact on TP53 mRNA levels and protein expression is dominant over the 3′UTR and masks the loss of the TP53 3′UTR.

Additionally, we asked whether the TP53 5′UTR contributes to the regulation of our reporter constructs. Inclusion of the sequence of the endogenous human TP53 5′UTR to the reporter constructs that contained the TP53 CDS did not reveal additional effects on reporter mRNA or protein expression and reporter gene expression remained 3′UTR-independent (Figure 4—figure supplement 1B). Together, these results indicate that the TP53 3′UTR and CDS functionally interact in the regulation of p53 expression and that the effects of the individual parts are not additive.

A Trp53 dUTR mouse model reveals 3′UTR-independent p53 expression in vivo

We reasoned that 3′UTR-dependent p53 expression regulation may still play a role in certain developmental stages, tissues or cell types. In order to explore this possibility, we created an analogous mouse model to investigate the role of the 3′UTR in an organism. We used zygotic injection of a pair of CRISPR/Cas9 guide RNAs to create mice in which we deleted the non-essential part of the mouse Trp53 3′UTR (Figure 5A). After backcrossing, we analyzed Trp53 dUTR mice harboring a homozygous 3′UTR deletion (Figure 5—figure supplement 1A–C). These mice were viable, fertile, and did not show any developmental defects (Figure 5—figure supplement 1D and E). We measured Trp53 mRNA expression in ten different tissues and did not detect significant differences between samples derived from WT and dUTR mice (Figure 5B). To examine the role of the 3′UTR in the regulation of stimulus-dependent p53 expression, we performed total body irradiation of WT and dUTR mice. At 4 hr post-irradiation, p53 protein expression was upregulated in spleen, liver, and colon samples to a similar extent in WT and dUTR mice (Figure 5C, Figure 5—figure supplement 2). We also analyzed expression of Cdkn1a, a highly dosage-sensitive p53 target gene that encodes the cell cycle regulator p21 (el-Deiry et al., 1993). Four hours after irradiation, Cdkn1a mRNA level were equally induced in WT and dUTR mice, suggesting that p53 target gene activation is 3′UTR-independent in mouse tissues (Figure 5D). These results demonstrate that the non-essential part of the Trp53 3′UTR is not required for steady-state or stimulus-dependent regulation of p53 mRNA or protein level in mice.

Figure 5 with 2 supplements see all
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Knockout of the Trp53 3′UTR does not induce aberrant p53 expression in a mouse model.

(A) Schematic of the murine Trp53 gene. The sequence deleted in dUTR cells is shown in blue. (B), Trp53 mRNA in tissues from WT and dUTR mice was normalized to Gapdh. Shown is mean + s.d. from n = 3 independent experiments. Statistical analysis using ANOVA. ns, not significant. CRISPR/Cas9-mediated deletions at the nucleotide level are shown in Figure 5—figure supplement 1C. (C) Representative immunoblots of p53 protein from tissues obtained 4 hr after total body irradiation. Gy, Gray. Tubulin or Actin serve as loading controls. Quantification of p53 protein expression values obtained from n = 3 mice is shown in Figure 5—figure supplement 2. (D) Cdkn1a mRNA expression of samples from (C) was normalized to Gapdh. Shown is mean + s.d. from three mice. Statistical analysis using ANOVA. ns, not significant.

Discussion

The lack of experimental data for 3′UTR-mediated expression regulation in native gene contexts has been a longstanding problem in the field of post-transcriptional gene regulation. Until recently, research on 3′UTR functions has mostly been conducted using overexpression systems and reporter gene assays. In contrast, gene knockouts that disrupt the production of proteins from endogenous gene loci have long been considered the gold standard for analyzing gene functions. The advent of CRISPR/Cas9 gene editing tools has made the generation of 3′UTR knockouts using genomic deletion feasible in both cell lines and organisms.

Using these tools, we conclude that the endogenous TP53 3′UTR does not have a significant impact on p53 abundance regulation under standard conditions used to study p53, including induction of DNA damage in HCT116 cells and total body irradiation of mice (Figures 1D, 2B, D, H, 5B and D). These observations are in stark contrast to the data obtained by overexpression of synthetic constructs in previous studies (Table 1). While we could reproduce earlier reporter studies with respect to a repressive function of the TP53 3′UTR when used in isolation, we found that the 3′UTR-mediated repressive effect was eliminated in the context of an mRNA containing the TP53 coding region (Figure 4C).

Notably, the TP53 coding region was the most repressive sequence tested in our reporter system. Our data further support the recently established role of the coding region as a major regulator of mRNA stability and translation (Presnyak et al., 2015; Eraslan et al., 2019; Mauger et al., 2019; Narula et al., 2019; Wu et al., 2019). Genome-wide comparisons of human coding regions showed that codon optimality and RNA structure in coding regions have the potential to modulate mRNA stability and translation efficiency to a similar extent as 3′UTRs (Narula et al., 2019). These effects were often found to be translation-dependent, suggesting the involvement of ribosome-associated protein complexes (Wu et al., 2019). The stronger contribution of the coding region is supported by the observation that the coding sequence of TP53 is more conserved than the 3′UTR sequence. Although this is true for the majority of human genes, the conservation of the TP53 3′UTR is among the 20% poorest conserved 3′UTRs of protein coding genes. Given the fatal consequences of p53 deregulation, we speculate that a basic mechanism for p53 expression control may have first evolved in the coding region.

Moreover, we found that the TP53 coding region abrogated the effect of additional suppressive elements in the 3′UTR. These results corroborated our findings from endogenous p53 regulation, where all sequence elements are located on the same transcript. The impact of sequence context on the effect of cis-regulatory elements has been previously described: The 5′UTR, codon optimality and splicing have all been shown to modulate the impact of 3′UTR elements in specific genes (Cottrell et al., 2017; Paolantoni et al., 2018; Theil et al., 2018). However, most studies investigate the effect of untranslated regions in isolation and hence the prevalence of this phenomenon is entirely unknown. Mechanistically, a different sequence context may lead to changes in RNA folding which could create constraints on RNA-binding motif accessibility. In addition, saturation effects and epistatic interactions might limit or modulate the impact of additional suppressive cis-regulatory elements provided by the sequence context (Cottrell et al., 2018). Our data indicate that the different parts of mRNAs do not act autonomously, but are part of a regulatory unit and functionally cooperate with each other (Cottrell et al., 2017; ; Zrimec et al., 2020).

3′UTR knockouts can be used to discriminate between direct and indirect targets of miRNAs and RNA-binding proteins. Both miRNAs and RNA-binding proteins usually regulate hundreds of mRNAs. This makes it difficult to assign phenotypes to the deregulation of specific target mRNAs. Moreover, miRNAs and RNA-binding proteins often target several genes in the same pathway (Ben-Hamo and Efroni, 2015; Zanzoni et al., 2019). Therefore, the results of overexpression or knockdown experiments with miRNAs and RNA-binding proteins may be confounded. This problem has likely contributed to the hypothesis that the 3′UTR is involved in p53 expression regulation. For example, the tumor suppressor RBM38 (also called RNPC1) was proposed to bind to the human TP53 3′UTR resulting in lower p53 expression in the presence of RBM38 (Zhang et al., 2011). However, apart from TP53, RBM38 targets several other genes in the p53 pathway, including MDM2, PPMID, and CDKN1A (Shu et al., 2006; Xu et al., 2013; Zhang et al., 2015). Expression changes of these genes can indirectly upregulate p53 or result in phenotypes that mimic p53 overexpression. Indeed, while RBM38 knockout mice show phenotypes consistent with p53 hyperactivation (Zhang et al., 2014), Trp53 dUTR mice are apparently normal. This suggests that the repressive effects of RBM38 on p53, that were previously attributed to be mediated by direct 3′UTR-dependent expression regulation, may be indirect. Similarly, HUR was shown to bind and regulate expression of both MDM2 and CDKN1A. HUR-deficient mouse embryonic fibroblasts have cell cycle defects that can be rescued by MDM2 overexpression (Wang et al., 2000; Ghosh et al., 2009).

In addition to the direct regulation of genes in the p53 pathway, we believe it is plausible that some prior studies observed p53 upregulation as a result of general cell stress. Overexpression and knockdown of RNA-binding proteins and miRNAs often result in expression changes across large sets of genes, which could lead to dysfunction in any number of pathways. As an integrator of the cellular stress response, p53 activation is uniquely sensitive to altered cell states. The anti-proliferative transcriptional program that is controlled by p53 is activated upon various stress signals not related to genotoxicity, including ribosomal stress, oxidative stress, loss of adhesion, and oncogene activation (Horn and Vousden, 2007). Hence, p53 protein stability may be indirectly regulated by these stress-response pathways as a function of p53 activation. These effects are highly reproducible and extremely difficult to control for.

We want to point out that a recent study that deleted endogenous 3′UTR sequences in several cytokine genes also found discrepancies between reporter-based assays and gene expression from native contexts (Zhao et al., 2017). In other cases, endogenous 3′UTR deletions led to the discovery of 3′UTR-dependent mRNA localization phenotypes (Terenzio et al., 2018). Although our data indicate that p53 abundance regulation is 3′UTR-independent, the 3′UTR may still have important functions possibly through control of protein localization or protein activity as has been shown for other proteins (Berkovits and Mayr, 2015; Moretti et al., 2015; Terenzio et al., 2018; Lee and Mayr, 2019; Mayr, 2019; Bae et al., 2020; Fernandes and Buchan, 2020; Kwon et al., 2020). Finally, while our experimental conditions were highly similar to conditions tested in previous studies, we cannot fully exclude the possibility of 3′UTR-dependent expression regulation in select cell types or under specific conditions.

The unexpected finding that the endogenous TP53 mRNA does not depend on the 3′UTR for post-transcriptional expression regulation as predicted by reporter assays makes a strong case for revising standard experimental procedures. 3′UTR knockouts allow to distinguish between direct and indirect effects associated with post-transcriptional regulation and they enable investigators to perform experiments under endogenous expression conditions. We think that this kind of genetic validation is critical for identifying the most promising gene targets for potential sequence-based miRNA therapeutics that aim to influence gene expression in human patients (Kasinski and Slack, 2011; Hermeking, 2012; Bonneau et al., 2019).

Materials and methods

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Strain, strain background (Mus musculus)C57Bl/6JJackson Laboratory#000664
RRID:IMSR_JAX:000664		used to generate TP53 dUTR mouse strain
Strain, strain background (Mus musculus)Trp53 dUTRThis paperC57Bl/6J background, see Materials and methods Supplementary file 1
Cell line (Homo sapiens)FLP In T-REx 293From Dr. Thomas Tuschl (Rockefeller University)RRID:CVCL_U427
Cell line (Homo sapiens)FLP In T-REx 293 TP53 dUTRThis papersee Materials and methods Supplementary file 1
Cell line (Homo sapiens)FLP In T-REx 293 TP53-/-This papersee Materials and methods Supplementary file 1
Cell line (Homo sapiens)HCT116ATCCATCC CCL-247
RRID:CVCL_0291
Cell line (Homo sapiens)HCT116 Ctrl (two clones)This papersee Materials and methods Supplementary file 1
Cell line (Homo sapiens)HCT116 TP53 dUTR (three clones)This papersee Materials and methods Supplementary file 1
Cell line (Homo sapiens)HCT116 TP53-/-This papersee Materials and methods Supplementary file 1
Peptide, recombinant proteinCas9 protein with NLSPNA BioCP01-20
Sequence-based reagentCostum Alt-R CRISPR Cas9 crRNA (Trp53_gRNA upstream)IDTGTGATGGGGACGGGATGCAGused for CRISPR RNP formation
Sequence-based reagentCostum Alt-R CRISPR Cas9crRNA (Trp53_gRNA downstream)IDTCATAGGGTCCATATC CTCCAused for CRISPR RNP formation
Sequence-based reagentAlt-R CRISPR-Cas9 tracrRNAIDT1072532
AntibodyAnti-p53 clone DO-7 (mouse monoclonal)Santa Cruzsc-47698
RRID:AB_628083		(1:250)
AntibodyAnti-p53 clone PAb240 (mouse monoclonal)Santa Cruzsc-99
RRID:AB_628086		(1:250)
AntibodyAnti-p53 clone 1C12 (mouse monoclonal)Cell Signaling#2524
RRID:AB_331743		(1:500)
AntibodyAnti-Actin (rabbit polyclonal)SigmaA2066
RRID:AB_476693		(1:1,000)
AntibodyAnti-Tubulin (mouse monoclonal)SigmaT9026
RRID:AB_477593		(1:1,000)
AntibodyIRDye 800CW anti-Mouse (goat polyclonal)LI-COR926–32210
RRID:AB_621842		(1:10,000)
AntibodyIRDye 680RD anti-Rabbit (goat polyclonal)LI-COR926–68071
RRID:AB_10956166		(1:10,000)
Transfected construct (synthetic)pX330-U6-Chimeric_BB-CBh-hSpCas9AddgeneRRID:Addgene_42230
Transfected construct (Homo sapiens)pX330-gRNA dUTR1This papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pX330-gRNA dUTR2.1This papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pX330-gRNA dUTR2.2This papersee Materials and methods Supplementary file 1
Transfected construct (synthetic)pCDNA3-puro eGFPPMID:30449617
Transfected construct (Homo sapiens)pCDNA3-puro p53(CDS)-eGFPThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro eGFP_TP53-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro p53(CDS)-eGFP_TP53-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro eGFP_dUTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro p53(CDS)-eGFP_dUTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro eGFP_TP53-3UTR(U-del)This papersee Materials and methods
Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro p53(CDS)-eGFP_TP53-3UTR(U-del)This papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro eGFP_GAPDH-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro p53(CDS)-eGFP_GAPDH-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro eGFP_HPRT-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro p53(CDS)-eGFP_HPRT-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro eGFP_PGK1-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro p53(CDS)-eGFP_PGK1-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro 5UTR_p53(CDS)-eGFPThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro 5UTR_p53(CDS)-eGFP_dUTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)pCDNA3-puro 5UTR_p53(CDS)-eGFP_TP53-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (synthetic)psiCHECK-2PromegaC8021
Transfected construct (Homo sapiens)psiCHECK-2_TP53-3UTRThis papersee Materials and methods Supplementary file 1
Transfected construct (Homo sapiens)psiCHECK-2_dUTRThis papersee Materials and methods Supplementary file 1
Chemical compound, drugIRDye 680LT StreptavidinLI-COR926–68031(1:2,000)
Chemical compound, drugNutlin-3SeleckchemS1061
Chemical compound, drugEtoposideSigma341205–25 MG
Chemical compound, drug5-FluorouracilSigmaF6627
Chemical compound, drugMTSEA-biotin-XXBiotium900661
Chemical compound, drugBiotin Alkyne (PEG4 carboxamide-Propargyl Biotin)This paperB10185
Chemical compound, drug4-ThiouridineMP BiomedicalsMP215213425
Chemical compound, drugYeast tRNAInvitrogen15401029
Chemical compound, drugdCTP [α−32P]Perkin ElmerNEG013H100UC
Commercial assay or kitClick-iT Protein Reaction Buffer KitInvitrogenC10276
Commercial assay or kitClick-iT AHA (L-Azidohomoalanine)InvitrogenC10102
Commercial assay or kitSuperScript IV Vilo Master MixInvitrogen11756050
Commercial assay or kitDual-Glo Luciferase Assay SystemPromegaE2940
Commercial assay or kitMegaprime DNA labeling system, dCTPCytivaRPN1606
Commercial assay or kitLipofectmaine LTX Reagent with PLUS ReagentInvitrogenA12621
Commercial assay or kitDynabeads Protein G for ImmunoprecipitationInvitrogen10004D
Commercial assay or kitDynabeads MyOne Streptavidin C1Invitrogen65001
Commercial assay or kitOligotex mRNA mini KitQuiagen70022
Commercial assay or kitULTRAhyb Ultrasensistive Hybridization bufferInvitrogenAM8670
Commercial assay or kitQuickExtract DNA Extraction SolutionLucigenQE09050
Commercial assay or kitRNAlater-ICE Frozen Tissue Transition SolutionInvitrogenAM7030
Commercial assay or kitSuperScript IV VILO Master Mix with ezDNAse EnzymeInvitrogen11766050
Commercial assay or kitFastStart Universal SYBR Green Master (ROX)Roche/Sigma4913850001
Software, algorithmFlowJo (Version 10.5.3)FlowJo, LLC
Software, algorithmPrism 8 for OS X (Version 8.4.3)Graph Pad Software, LLC
Software, algorithmImage Studio (Version 5.2)LI-COR Biosciences

Generation of the Trp53 dUTR mouse strain using CRISPR/Cas9

Female C57Bl/6 mice between 3 and 4 weeks of age were superovulated by intraperitoneal injection of Gestyl followed by human chorionic gonadotropin according to standard procedures (Behringer et al., 2014). After superovulation, the females were setup with male studs for mating. After mating, fertilized eggs were recovered at the one-cell stage from oviducts of superovulated female mice. One to 2 pl of CRISPR/Cas9 RNP complexes were injected into the pronuclei of fertilized eggs (see details below). Surviving eggs were surgically reimplanted into the oviducts of pseudo-pregnant females previously primed for pregnancy by mating with vasectomized males. The resulting pubs were screened using PCR for the deletion amplicon at 2 weeks of age (primers are listed in Supplementary file 1). Suitable candidates were further validated by sequencing.

Preparation of CRISPR-Cas9 RNP injection mixture

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Two target-specific crRNAs and a tracrRNA were purchased from IDT (Supplementary file 1). In two separate tubes, 2.5 µg of each crRNA was mixed with 5 µg tracrRNA, heated to 95°C for 5 min and then slowly cooled down to room temperature for annealing. The annealed duplexes were combined and mixed with 1 µg recombinant Cas9 enzyme (PNA Bio) and 625 ng in vitro transcribed Cas9 mRNA and the total volume was adjusted to 50 µl with sterile water.

Screening for homozygous and heterozygous dUTR mice

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Two heterozygous founder males with an identical 295-nucleotide deletion (Figure 4—figure supplement 1C) were used to establish a mouse colony. Two or more rounds of backcrossing into wild-type C57Bl/6 mice were performed prior to analysis of Trp53 dUTR mouse phenotypes. Mouse genotypes from tail biopsies were determined using RT-PCR with specific probes designed for each Trp53 allele (Transnetyx, Cordova, TN).

Irradiation of mice

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Where indicated, adult mice underwent total body irradiation with 2 or 8 Gy using a Cs-137 source in a Gammacell 40 Exactor (MDS Nordion) at 77 cGy/min. Four hours later irradiated mice were euthanized to collect samples. All procedures were approved by the Institutional Animal Care and Use Committee at MSKCC under protocol 18-07-010.

Extraction of total RNA from mouse tissues and human cells for RT-qPCR analysis

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For RNA extraction from mouse tissue, freshly collected tissue samples were flash-frozen and transferred to RNAlater-ICE Frozen Tissue Transition Solution (Invitrogen). After soaking overnight at −20°C, the tissue samples were homogenized in vials containing 1.4 mm ceramic beads (Fisherbrand) and 400 µl RLT buffer (Qiagen) using a bead mill (Bead Ruptor 24, Biotage). 200 µl of the tissue homogenate was mixed with 1 ml of TRI Reagent (Invitrogen). For extraction of RNA from cultured cells, the cell pellet was directly resuspended in TRI Reagent. Total RNA extraction was performed according to the manufacturer’s protocol. The resulting RNA was treated with 2U DNaseI enzyme (NEB) for 30 min at 37°C, followed by acidic phenol extraction and isopropanol precipitation. To generate cDNA, about 200 ng of RNA was used in a reverse transcription reaction with SuperScript IV VILO Master Mix (Invitrogen). To measure the relative expression levels of mRNAs by RT-qPCR, FastStart Universal SYBR Green Master (ROX) from Roche was used together with gene-specific primers listed in Supplementary file 1. GAPDH/Gapdh was used as housekeeping gene.

Generation of the TP53 3′UTR deletion in HCT116 and HEK293 cells

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To generate CRISPR/Cas9 constructs, we annealed target-specific DNA sequences and inserted them into a BbsI-digested pX330-U6-Chimeric_BB-CBh-hSpCas9 vector (Addgene plasmid #42230) (Cong et al., 2013; Ran et al., 2013). One µg of each pX330-gRNA plasmid plus 0.1 µg of pmaxGFP plasmid (Lonza) were transiently transfected into exponentially growing cells using Lipofectamine 2000 (Invitrogen). Three days after transfection, single GFP-positive cells were sorted into 96-well plates and cultured until colonies formed. The genomic DNA from individual cell clones was extracted using QuickExtract DNA Extraction Solution (Lucigen) and screened by PCR for the deletion amplicon using the DNA primers listed in Supplementary file 1. In the case of HCT116 cells, we repeated the above-described process using two different heterozygous clones with a new downstream gRNA to obtain homozygous TP53 dUTR cells. Finally, to validate positive cell clones, all TP53 alleles of candidate clones were sequenced (Figure 1—figure supplement 1A).

Generation of TP53 knock-out (KO) HCT116 and HEK293 cells

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HCT116 cells were purchased from ATCC and Flp-In T-REx 293 cells were a gift from the lab of Thomas Tuschl (Rockefeller University). The cell lines were not authenticated. They are free of mycoplasma. Mycoplasma detection was performed by DAPI staining. We generated our own TP53-deficient HEK293 and HCT116 cell lines by targeting exon 6 of the TP53 coding region with a gRNA causing frame shift mutations. Specifically, pX330 plasmid harboring a TP53-specific gRNA (Supplementary file 1) was transfected into HEK293 and HCT116 cells using Lipofectamine 2000 (Invitrogen). Two days later, the cells were split and seeded sparsely on a 10 cm dish in the presence of 10 µM Nutlin-3 (Seleckchem), which was used to select against growth of p53-competent cells. After 10 days, single colonies were picked, and individual clones were validated by western blot for loss of p53 expression.

Western blot analysis

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RIPA buffer (10 mM Tris-HCL pH 7.5, 150 mM NaCl, 0.5 mM EDTA, 0.1% SDS, 1% Triton X-100, 1% deoxycholate, Halt Protease Inhibitor Cocktail [Thermo Scientific]) was used to extract total protein from cultured cells or mouse tissues. Cell pellets were washed with PBS and directly resuspended in lysis buffer and incubated on ice for 30 min. Mouse tissue samples were homogenized in RIPA buffer using a bead mill in vials filled with 1.4 mm ceramic beads. Tissue lysates were sonicated to shear genomic DNA prior to removing insoluble components by centrifugation (10 min, 15,000 g). The proteins in the supernatant were precipitated by adding 0.11 volumes of ice-cold 100% Trichloroacetic acid (TCA) and incubated at −20°C for 1 hr. The samples were centrifuged (10 min, 15,000 g) and the pellet was washed twice in ice-cold acetone before resuspending in reducing 2x Laemmli buffer (Alfa Aesar). Proteins were separated by size on a 4–12% Bis-Tris SDS-PAGE gels (Invitrogen) and blotted on a 0.2 µm nitrocellulose membrane (Bio-Rad). The membrane was then incubated with primary antibody in Odyssey Blocking buffer (LI-COR) overnight at 4°C. The following primary antibodies were used in this study: anti-human p53 DO-7 (Santa Cruz, sc-47698, mouse, 1:250), anti-human p53 PAb240 (Santa Cruz, sc-99, mouse, 1:250), anti-mouse p53 1C12 (Cell Signaling, #2524, mouse, 1:500), anti-Actin (Sigma, A2008, rabbit, 1:1000), anti-Tubulin (Sigma, T9026, mouse 1:1000), and anti-GAPDH (Sigma, G8705, mouse, 1:1000). After washing, the membrane was incubated with fluorescently-labeled secondary antibodies (IRDye 800CW Goat anti-Mouse, 926–32210; IRDye 680LT Goat anti-Rabbit, 926–68071 LI-COR; IRDye 680LT Streptavidin 926–68031) and signals were recorded using the Odyssey Infrared Imaging system (LI-COR). Signals were quantified using the Image Studio 5.2 software.

Northern blot

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Total RNA from cells was extracted as described above. Afterwards, polyA+ mRNA was enriched from total RNA using the Oligotex suspension (Qiagen) according to the manufacturer’s instructions. 1.2 µg of polyA+ mRNA was glyoxylated and run on an agarose gel as described previously (Mayr and Bartel, 2009, dx.doi.org/10.17504/protocols.io.bqqymvxw). The RNA was transferred overnight using the Nytran SuPerCharge TurboBlotter system (Whatman) and UV-crosslinked.

DNA probes complementary to the TP53 coding region or the 3′UTR were labeled with dCTP [α-32P] using the Megaprime DNA labeling system (Cytiva). Primers used for probe synthesis from human cDNA are listed in Supplementary file 1. Labeled probes were denatured by heat for 5 min at 90°C and then incubated with the blot in ULTRAhyp Ultrasensitive Hybridization Buffer (Invitrogen) overnight at 42°C. The blot was washed three times and exposed on a phosphorimaging screen. The radioactive signal was acquired using the Fujifilm FLA700 phosphorimager.

Human cell culture and drug treatment

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Human cell cultures were maintained in a 5% CO2/37°C humidified environment. HEK293 cells were cultured in DMEM (high glucose) and HCT116 cells were cultured in McCoy’s 5A medium which were supplemented with 10% FBS and 1% Penicillin/Streptomycin. Where indicated, HCT116 cells were treated with etoposide (0.125–32 µM, Sigma), 5-fluorouracil (40 µM, Sigma), Nutlin-3 (1.25–20 µM, Seleckchem), or UV (50 J/m2) prior to downstream analysis.

Measurement of mRNA half-life

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TP53 mRNA half-lives were estimated following the protocol described by Russo et al., 2017 with minor modifications. Briefly, HCT116 cells were treated with 250 µM 4-thiouridine (4sU, MP Biomedicals) in the presence or absence of 20 µM etoposide for four hours. Additionally, reference samples with saturated 4sU-labeled RNA were generated by incubating HCT116 cells at a concentration of 100 µM 4sU for 3 days. After labeling, TRI Reagent (Invitrogen) was used to extract total RNA from cells. In the subsequent biotinylation reaction 40 µg of total RNA was mixed with 0.4 µg unlabeled yeast RNA, 10x biotinylation buffer (100 mM HEPES pH 7.5, 10 mM EDTA) and 10 µg MTSEA-biotin-XX (Biotium) in a total volume of 150 µl. The reaction was incubated for 30 min at room temperature and the RNA was recovered by ethanol precipitation. Then, half of the biotinylated RNA was mixed with 100 µM DTT and retained as the total RNA fraction. The other half was incubated with Dynabeads MyOne Streptavidin C1 magnetic beads (Invitrogen, blocked with 1% BSA and 1 µg/ml yeast tRNA) for 20 min at room temperature. Subsequently, the beads were washed three times with high-salt buffer (100 µM Tris-HCl pH 7.5, 1M NaCl and 0.1% NP40) using a magnet. The bead-bound, newly synthesized RNA fraction was eluted twice in 100 µM DTT and the resulting pooled RNA fraction was precipitated with ethanol. Total and newly synthesized RNA were reverse transcribed using the SuperScript VILO master mix kit. Relative enrichment of TP53 mRNA in newly synthesized over total fractions was determined by RT-qPCR relative to two yeast mRNAs (see Supplementary file 1 for primer sequences). Reference values obtained from fully labeled RNA samples were used to estimate the fraction of labeled TP53 mRNA (R) in each experiment. mRNA half-lives were then calculated according to the following formula:

t12=-4h*ln⁡(2)ln⁡(1-R)
R=newlysynthesizedtotalRNA(sample)newlysynthesizedtotalRNA(reference)

Detection of newly synthesized p53 protein by metabolic labeling

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HCT116 cells were grown in a 10 cm dish until 70–80% confluency. Cells were washed with PBS, and methionine-free McCoys medium was added for one hour to deplete cellular methionine reserves. Afterwards, Click-IT AHA (Invitrogen) was added to a final concentration of 50 µM and incubated for two hours at 37°C. Where indicated, 20 µM etoposide was added together with AHA.

Cells were trypsinized and cell pellets were resuspended in 1 ml lysis buffer (10 mM Tris-HCL pH 7.5, 150 mM NaCl, 0.5% NP-40, and protease inhibitors). After brief sonication, the cleared lysate was mixed with p53 antibody DO-7 (Santa Cruz, sc-47698) at a concentration of 1 µg/ml and incubated for 4 hr at 4°C while rotating. Equilibrated Dynabeads Protein G (Invitrogen) were added to each lysate and incubated for another hour at 4°C. The beads were separated by a magnet and washed three times with lysis buffer. Bead-bound, AHA-labeled p53 protein was biotinylated using the Click-IT AHA protein labeling kit (Invitrogen) according to the manufacturer’s instructions. Free biotin was removed by washing the beads twice in PBS using a magnet. The beads were resuspended in Laemmli SDS sample buffer and heated to 95°C for 5 min. The samples were loaded on a 4–12% NuPAGE Bis-Tris gel (Invitrogen) and blotted on a nitrocellulose membrane (Bio-Rad). The blots were stained with IRDye680LT Streptavidin (LI-COR) and signals were recorded with the Odyssey Infrared Imager (LI-COR).

Reporter assays

Constructs

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We PCR-amplified the TP53 3′UTR sequence (nucleotides 1380 to 2586 of the reference mRNA NM_000546, May 2018) from WT HCT116 cDNA. This sequence was cloned downstream of the stop codon in pcDNA3.1-puro-eGFP using EcoRI/NotI restriction enzymes. For the dUTR construct, cDNA from TP53 dUTR HCT116 cells was used to amplify the remaining 3′UTR sequence after CRISPR-mediated deletion, representing a fusion of the first 12 and the last 147 nucleotides of the full-length TP53 3′UTR. A TP53 3′UTR construct with a deletion of a poly-U stretch (deletion of nucleotides 2123 to 2162 of the reference mRNA NM_000546, May 2018) was generated by overlap extension PCR with the primers listed in Supplementary file 1. The TP53 coding region, encoding the α protein isoform (1182 nucleotides), was cloned upstream and in- frame of the GFP-cassette using HindIII/BamHI restriction sites. The 3′UTRs of human GAPDH, HPRT and PGK1 housekeeping genes were PCR-amplified from a cDNA library with primers listed in Supplementary file 1 and inserted into the vector using EcoRV/NotI restriction sites. The 5′UTR of human TP53 (nucleotides 1 to 202 of reference mRNA NM_000546, May 2018) was synthesized as a Geneblock from Genewiz and inserted into the vector upstream of the TP53 coding region using NheI/HindIII restriction sites. For luciferase reporter studies, the full-length 3′UTR and dUTR sequences described above were cloned into a SmaI-digested psiCHECK2 (Promega) vector via blunt-end cloning.

GFP reporter

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TP53-/- HCT116 cells were transfected with equimolar amounts of GFP-containing reporter constructs using Lipofectamine LTX Reagent (Invitrogen) according to the manufacturer’s instructions. 24 hr after transfection, cells were harvested for analysis of GFP mRNA and protein expression. GFP protein levels were analyzed by flow cytometry using a BD LSRFortessa Flow Cytometer. Raw data were analyzed using the FlowJo software package and mean fluorescence intensity (MFI) values of live single cells were normalized to values obtained from GFP-BGH poly(A) constructs. mRNA abundance of the GFP reporter was measured using RT-qPCR as described above using primers listed in Supplementary file 1. The GFP reporter mRNA was normalized to GAPDH mRNA.

Luciferase reporter assay

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Luciferase activity was measured 24 hr after transfection of equimolar amounts of psiCHECK2 plasmids (Promega) containing the TP53 3′UTR, the dUTR sequence or no insert downstream of the Renilla luciferase translational stop codon. Cells were lysed in passive lysis buffer and Renilla and firefly luciferase activity were measured in duplicates using the Dual-Glo Luciferase Assay System (Promega) according to the manufacturer’s instructions in a GloMax 96 Microplate Luminometer (Promega). Relative light units of Renilla luciferase were normalized to firefly luciferase activity.

Conservation analysis

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UCSC phastCons conservation scores for the human genome (hg19) were calculated from multiple alignments with 99 vertebrate species and the mean value for each 3′UTR was obtained. The conservation analysis of binding sites in the 3′UTR sequence as shown in Table 1 was performed by averaging the phyloP scores of the corresponding genomic regions (100way for human and 35way for mouse).

Statistics and reproducibility

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Statistical analysis of the mRNA and protein expression data was performed using a Student’s t-test or ANOVA followed by a Tukey’s multiple comparison test. We use ns (p>0.05), * 0.01 < p < 0.05, ** 0.001 < p < 0.01, and ***p<0.001 to indicate the levels of p-values in figures. No data were excluded. The results for immunoblotting are representative of at least three biologically independent experiments. All statistical analyses and visualizations were performed using GraphPad (Prism 8).

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files.

References

  3. Book
    1. Behringer R
    2. Gertsenstein M
    3. Nagy K
    4. Nagy A
    (2014)
    Manipulating the Mouse Embryo: A Laboratory Manual (4th end)
    CSH press.
    1. Bonneau E
    2. Neveu B
    3. Kostantin E
    4. Tsongalis GJ
    5. De Guire V
    (2019)
    How close are miRNAs from clinical practice? A perspective on the diagnostic and therapeutic market
    Ejifcc 30:114–127.
    1. Mayr C
    (2019) What are 3' UTRs doing?
    Cold Spring Harbor Perspectives in Biology 11:a034728.
    https://doi.org/10.1101/cshperspect.a034728

Article and author information

Author details

  1. Sibylle Mitschka

    Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, United States
    Contribution
    Conceptualization, Formal analysis, Validation, Investigation, Visualization, Methodology, Writing - original draft, Writing - review and editing
    Competing interests
    No competing interests declared

  2. Christine Mayr

    Cancer Biology and Genetics Program, Memorial Sloan Kettering Cancer Center, New York, United States
    Contribution
    Conceptualization, Supervision, Funding acquisition, Writing - original draft, Writing - review and editing
    For correspondence
    mayrc@mskcc.org
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-7084-7608

Funding

NIH Office of the Director (DP1-GM123454)

  • Christine Mayr

Pershing Square Foundation

  • Christine Mayr

National Cancer Institute (P30 CA008748)

  • Christine Mayr

Deutsche Forschungsgemeinschaft

  • Sibylle Mitschka

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

Acknowledgements

We thank all members of the Mayr lab for helpful discussions and critical reading of the manuscript. We thank the Mouse Genetics Core Facility at MSKCC for assistance in the generation of Trp53 dUTR mice. This work was funded by a postdoctoral fellowship from the DFG to SM and by the NIH Director′s Pioneer Award (DP1-GM123454), the Pershing Square Sohn Cancer Research Alliance to CM, and the NCI Cancer Center Support Grant (P30 CA008748). The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Ethics

Animal experimentation: This study was performed in strict accordance with the recommendations in the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health. All of the animals were handled according to approved institutional animal care and use committee (IACUC) protocols (#18-07-010) of Memorial Sloan Kettering Cancer Center. All procedures were approved by the Institutional Animal Care and Use Committee at MSKCC under protocol #18-07-010.

Copyright

© 2021, Mitschka and Mayr

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Sibylle Mitschka
  2. Christine Mayr
(2021)
Endogenous p53 expression in human and mouse is not regulated by its 3′UTR
eLife 10:e65700.
https://doi.org/10.7554/eLife.65700

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https://doi.org/10.7554/eLife.65700

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