Next Article in Journal
Ontological Analysis of Coronavirus Associated Human Genes at the COVID-19 Disease Portal
Next Article in Special Issue
The Theory of Carcino-Evo-Devo and Its Non-Trivial Predictions
Previous Article in Journal
Biomarker Discovery for Meta-Classification of Melanoma Metastatic Progression Using Transfer Learning
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Unaffected Li-Fraumeni Syndrome Carrier Parent Demonstrates Allele-Specific mRNA Stabilization of Wild-Type TP53 Compared to Affected Offspring

by
Jeffrey S. Buzby
1,*,
Shirley A. Williams
1 and
Diane J. Nugent
1,2,3
1
Hematology Research and Advanced Diagnostics Laboratories, CHOC Children’s Hospital of Orange County, Orange, CA 92868, USA
2
Division of Hematology, CHOC Children’s Hospital of Orange County, Orange, CA 92868, USA
3
Division of Pediatric Hematology, School of Medicine, University of California at Irvine, Orange, CA 92868, USA
*
Author to whom correspondence should be addressed.
Genes 2022, 13(12), 2302; https://doi.org/10.3390/genes13122302
Submission received: 11 November 2022 / Revised: 2 December 2022 / Accepted: 2 December 2022 / Published: 7 December 2022
(This article belongs to the Special Issue Carcinogenesis as an Evolutionary Process)

Abstract

:
Li-Fraumeni Syndrome (LFS) is an autosomal dominant disorder where an oncogenic TP53 germline mutation is inherited by offspring of a carrier parent. p53 is a key tumor suppressor regulating cell cycle arrest in response to DNA damage. Unexpectedly, some mutant TP53 carriers remain unaffected, while their children develop cancer early in life. To begin unravelling this paradox, the response of dermal fibroblasts (dFb) isolated from a child with LFS was compared to those from her unaffected father after UV exposure. Phospho-Chk1[S345], a key activator of cell cycle arrest, was increased by UV induction in the LFS patient compared to their unaffected parent dFb. This result, along with previous findings of reduced CDKN1A/p21 UV induction in affected dFb, suggest that cell cycle dysregulation may contribute to cancer onset in the affected LFS subject but not the unaffected parent. Mutant p53 protein and its promoter binding affinity were also higher in dFb from the LFS patient compared to their unaffected parent. These results were as predicted based on decreased mutant TP53 allele-specific mRNA expression previously found in unaffected dFb. Investigation of the potential mechanism regulating this TP53 allele-specific expression found that, while epigenetic promoter methylation was not detectable, TP53 wild-type mRNA was specifically stabilized in the unaffected dFb. Hence, the allele-specific stabilization of wild-type TP53 mRNA may allow an unaffected parent to counteract genotoxic stress by means more characteristic of homozygous wild-type TP53 individuals than their affected offspring, providing protection from the oncogenesis associated with LFS.

1. Introduction

The tumor suppressor p53 is a key transcriptional regulator of the cellular response to environmental, genotoxic stress [1]. Consequently, over 50% of all human cancer cases can be attributed to an acquired loss-of-function (LOF), with missense TP53 mutations resulting in impairments to adequately repair DNA damage, regulate cell division, and/or effectively eliminate cancer cells through apoptosis [2]. While spontaneous mutations have been detected throughout the TP53 gene, the majority of cancerous mutations are localized to its DNA-binding domain, encoded by exons 5–8 [3].
Li-Fraumeni Syndrome (LFS) is a rare, autosomal dominant disorder where a TP53 germ line mutation can be inherited by the offspring of a carrier parent [4]. Carriers of such mutations have a predisposition for the early onset of cancer, with 68% of males and 93% of females developing some form of cancer in their lifetimes. Additionally, the average age of cancer onset is significantly earlier in LFS patients, with 56% of cases occurring before age 30 and 100% before age 50, compared to only 2% and 11%, respectively, in the general population [4].
Although many studies have characterized tumors with acquired p53 mutations, data on the prevalence of cancer in LFS family members carrying the same germ line mutant TP53 allele but remaining unaffected by cancer is much more limited [5,6]. Likewise, the regulatory factors contributing to the absence of cancer in these carriers also remain largely unknown. Yet, the reason why some of these TP53 mutation carriers do not develop cancer may profoundly impact the future directions of cancer detection, targeted therapy, and patient survival [7,8]. Our goal is to identify these differences between affected and unaffected LFS family members and characterize the mechanisms that either protect carriers or promote oncogenesis in their affected offspring.
Thus, we hypothesized that studies of LFS families with both affected and unaffected members may illuminate their mutation-driven responses to reveal possible points of intervention for preventing oncogenesis. Family studies such as this benefit from the family members’ otherwise similar genetic backgrounds to facilitate focus on the cancer-related variations. To this end, we have identified a highly informative LFS family in which the father remains cancer-free in his fourth decade of life [9]. He only became aware of his TP53 mutation when he was screened after his two children developed choroid plexus carcinomas before the age of 4. At that time, he was found to carry a de novo Ser241Tyr C > A mutation in exon 7 of TP53 that was inherited by his offspring, who eventually succumbed to cancer. Their mother has no TP53 nor any other relevant, pathogenic mutations.
Previous efforts to examine the impact of p53 mutations on its downstream regulatory pathways [10] have been very useful for elucidating their effects on cell cycle arrest [11] and DNA repair [12]. Many of these studies have also focused on investigating these cellular responses to UV irradiation mediated by p53 and its mutants in vitro [13,14,15,16,17]. Hence, primary dermal fibroblast (dFb) cultures were established using tissue samples obtained from the affected LFS daughter and her unaffected father to begin comparing their in vitro responses to UV stress in our previous study [18]. It was hypothesized that the unaffected carrier father may counteract genotoxic stress by means more characteristic of homozygous wild-type TP53 individuals than that of his affected offspring. In support of this hypothesis, the previous report of our initial studies [18] presented evidence that UV induction of CDKN1A/p21 was significantly increased [17], while the phosphorylation of p53[Ser15] was significantly decreased [19] in dFb from the LFS unaffected carrier compared to his affected offspring. Both these responses of the unaffected dFb were, in fact, more comparable to those of homozygous wild-type TP53 control dFb. Based on these results, it was further hypothesized that the unaffected dFb may not express as much of the mutant TP53 allele as the affected dFb. An analysis of their TP53 allele-specific expression found that this was indeed the case [18].
The studies presented here are designed to further characterize regulation of both UV-induced cell cycle arrest [17] and TP53 allele-specific expression [20] in dFb from the unaffected LFS carrier compared to his affected offspring [18]. Comparing the genotoxic response profiles of these heterozygous TP53 family members offers a unique opportunity to gain insight into the potential protective vs. oncogenic components involved in p53-mediated tumorigenesis. A greater understanding of this tumor suppression mechanism may uncover unique targets for developing new therapeutic agents to prevent cancer [7,8].

2. Materials and Methods

2.1. Culture, Irradiation, and Harvest of Human Dermal Fibroblasts

Proliferating cultures of human dFb were established from fresh LFS family tissue samples [18], as described [21], with expression of Fibroblast-Specific Protein-1 (FSP-1)/S100A4 [22] confirmed. Control dFb were derived from unrelated foreskin samples [23]. Cultures were grown, maintained, and experimentally utilized as previously described [18].
Using previously optimized UV irradiation conditions [18], dFb six-well plate cultures were aspirated of media, washed with PBS, then immediately challenged by exposure to UVC (254 nm) radiation (1 mJ/cm2 = 10 J/m2) in a GS UV Chamber (Bio-Rad, Hercules, CA, USA), directly followed by media replenishment.
Total RNA was isolated using RNeasy Mini Kits (QIAGEN, Germantown MD USA) and quantified using RNA 6000 Nano Kits with a BioAnalyzer 2100 (Agilent, Santa Clara, CA, USA).
Genomic DNA (gDNA) was isolated using Blood & Cell Culture DNA Midi Kits (QIAGEN) and quantified with a NanoDrop ND-1000 Spectrophotometer (ThermoFisher Scientific, Waltham, MA, USA).
Cellular protein was extracted in PathScan® Lysis Buffer (Cell Signaling Technology, Danvers, MA, USA); supplemented with additional phosphatase and protease inhibitors (20 mM Tris-HCl pH 7.5, 150 mM NaCl, 1% Triton, 25 mM sodium fluoride, 1 mM β-glycerophosphate, 1 mM EGTA, 1.5 mM EDTA, 30 mM sodium pyrophosphate, 4 mM Na3VO4; 1 µM okadaic acid, 1X-Protease Inhibitor Cocktail (Cell Signaling Technology), 1 mM PMSF, and 20 U/mL DNase I). Protein content was determined using the modified Lowry, DC Protein Assay (Bio-Rad, Hercules, CA, USA).

2.2. Immunoblot Analysis

Protein extracts (30 µg/lane) were electrophoresed and electroblotted as previously described [18]. Electroblotted membranes were blocked with 5% non-fat milk (Nestlé Carnation, Solon, OH, USA) in TBS (Cell Signaling Technology, Boston, MA, USA) for 60 min at room temperature. They were then incubated with either primary 1:1000 antiphospho-Chk1[S345] (Cell Signaling Technology, #2348), 1:1000 anti-Chk1 (Cell Signaling Technology; #2360), 1:1000 anti-phospho-Chk2[T68] (Cell Signaling Technology; #2197), 1:1000 anti-Chk2 (Cell Signaling Technology; #6334), 1:500 anti-mutant p53 (abcam, Boston, MA, USA; #ab32049), 1:1000 anti-p53 (Santa Cruz Biotechnology, Dallas, TX, USA; #sc-6243), or 1:5000 anti-β-actin (Santa Cruz Biotechnology; #sc-47778) overnight at 4°C, followed by the corresponding horseradish peroxidase-conjugated goat anti-rabbit (Cell Signaling Technology; #7074) or anti-mouse (Cell Signaling Technology; #7076) secondary IgG for 2 h at room temperature in TBST (Cell Signaling Technology) with 5% non-fat milk (Nestlé Carnation) or 5% BSA (Cell Signaling Technology), according to the antibody manufacturer’s recommendations. Washed membranes were developed for optical density quantitation of chemifluorescent signals from replicate immunoblots as previously described [18,24].

2.3. p53 Promoter Binding Activity

The TF-Detect Human p53 Activity Assay Kit (GeneCopoeia, Rockville, MD, USA) was used to evaluate p53 interaction with a consensus promoter binding site. After UV irradiation of confluent dFb cultures, nuclear protein extracts were prepared according to the kit manufacturer’s recommendations. Equal amounts of nuclear protein (2 µg/well) from the affected LFS, unaffected, or control dFb were then assayed according to the kit manufacturer’s specifications, along with a provided recombinant p53 standard to compare the amount of binding activity in each sample.

2.4. Cytosine Methylation Analysis of TP53 Gene Promoter

gDNA isolated from proliferating cultures of control, unaffected, and affected dFb was subjected to chemical conversion of unmethylated cytosines into uracils by bisulfite treatment using the EpiMark Bisulfite Conversion Kit (New England BioLabs, Ipswich, MA, USA). The TP53 gene promoter region from −1654 to +54 was then amplified as six overlapping PCR products of 328, 338, 396, 385, 423, and 326 base pairs, respectively, using custom primers specific for bisulfite-converted gDNA (IDT, San Diego, CA, USA). These six overlapping fragments of the TP53 gene promoters were subjected to Sanger DNA sequencing analysis to identify unconverted 5-methyl-/hydroxymethyl-cytosines (Retrogen, San Diego, CA, USA).

2.5. Reverse-Transcribed (RT)-qPCR mRNA Expression

RT-qPCR (two-step) utilized iScript Advanced cDNA Synthesis Kits (Bio-Rad) with 25 ng RNA/sample, followed by the SsoAdvanced Universal SYBR Green Supermix (Bio-Rad) on a CFX Connect Real-Time PCR System (Bio-Rad). Validated qPCR primers specific for human gene transcripts of TP53 (p53, Bio-Rad; qHsaCID0013658), S100A4 (FSP-1, Bio-Rad; qHsaCID0013749), and the reference standard, HPRT1 (hypoxanthine phosphoribosyltransferase 1, Bio-Rad; qHsaCID0016375), were utilized according to the manufacturer’s specifications (Bio-Rad). Reference gene-normalized relative gene expression was calculated based on ΔΔCq values by the CFX Manager 3.1 operational software (Bio-Rad).

2.6. TP53 mRNA Half-Life

Confluent cultures of control, unaffected, and affected dFb were exposed to 10 µg/mL of the transcriptional inhibitor, actinomycin D (Life Technologies, Carlsbad, CA, USA) 24 h after UV irradiation, as previously described [25]. Cultures were then harvested and their cytoplasmic RNA isolated at 0, 120, 180, 240, and 360 min after inhibition of transcription. The RNA was subjected to RT-qPCR analysis for TP53 mRNA stability over time, with HPRT1 mRNA as a stable reference standard. After normalizing to the HPRT1 mRNA standard, the fraction of TP53 mRNA remaining at each time point after inhibition of transcription was calculated relative to that of the respective samples prior to inhibition (time = 0 h). These values were then plotted against the time after inhibition of transcription with Prism V.3 (GraphPad Software, San Diego, CA, USA) to determine TP53 mRNA half-life based on its exponential decay, as described [26].

2.7. RT-PCR-RFLP Analysis for TP53 Allele-Specific mRNA Stability

RNA isolated from UV-irradiated control, unaffected, and affected dFb cultures, 0 and 360 min after inhibition of transcription in the experiment described above, was further evaluated for TP53 allele-specific mRNA stability by slight modifications of our previously developed procedure [18,27]. To monitor transcript decay, a 114 bp region of B2M (β-2-microglobulin) was also amplified using custom, intron-spanning primers; 5′-ACCCCCACTGAAAAAGATGA-3′ and 5′-ATCTTCAAACCTCCATGATG-3′ (QIAGEN), as a stable reference standard [23,28]. PCR amplification, SbfI (New England BioLabs, Ipswich MA USA) digestion, and RFLP product quantitation were all carried out as previously described [18]. After PCR amplification, expression of each reverse-transcribed TP53 allele transcript was calculated by normalizing molar ratios of the 75 bp SbfI RFLP product from the wild-type TP53 allele and the uncleaved 94 bp product from the mutant allele to that of the 114 bp B2M reference amplicon for each sample. The fraction of each allele remaining 6 h after inhibition of transcription was then calculated relative to that of their respective samples prior to inhibition (time = 0 h).

2.8. Statistics

Data was presented as mean ± standard-error-of-the-mean (SEM) from four or more sample replicates. Probability of significant differences (p < 0.05) between two data sets was calculated using Student’s t-test on InStat V.3 for Windows (GraphPad Software).

3. Results

3.1. Phospho-Chk1[S345] Induction Was Significantly Upregulated by UV Exposure in Affected LFS Fibroblasts

Two complementary systems that respond to DNA damage in human cells are triggered by the protein kinase sensors, ATR and ATM [29]. Key cell cycle checkpoint kinases 1 (Chk1) and 2 (Chk2) are then directly phosphorylated as signal transduction substrates of ATR and ATM, respectively [30]. p53 acts further downstream in both the ATR- and ATM-activated pathways, and both these kinase sensors can also themselves phosphorylate p53[S15] upon activation [31]. With regards to our previous data showing significantly greater UV-induced phospho-p53[S15] in the affected LFS dFb [18], the ATR kinase-activated pathway is widely considered to be more responsive to UV-induced damage [31,32], though there can be some crosstalk between the two sensors in their damage detection [29]. Interestingly, it has been shown that phospho-p53[S15] may play a role in sustaining activated phospho-Chk1[S345] as well [33].
Based on these previous observations, UV-induced S345-phosphorylation of Chk1 was compared in dFb from the affected LFS subject vs. both the unaffected parent and the unrelated control subject using immunoblot analysis. Phospho-Chk1[S345] was significantly increased in dFb protein extracts from the affected LFS subject compared to both the unaffected parent and the unrelated control subject, 2–8 h after UV exposure (Figure 1). Parallel immunoblot analysis of Chk2[T68] phosphorylation found no significant UV-induced response in any of the dFb tested. As was somewhat expected [29,31,32], these results indicated that the UV irradiation conditions under study primarily activated the ATR-Chk1, as opposed to the ATM-Chk2, pathway [30]. Furthermore, they also suggested that our previously observed significant increase in UV-induced phospho-p53[S15] by the affected dFb [18] may contribute to this concomitantly increased UV-induced phospho-Chk1[S345], based on their reported cooperativity [33].

3.2. Mutant p53 Protein Expression Was Significantly Reduced in Unaffected LFS Fibroblasts

To determine if the decreased mutant TP53 allele-specific mRNA expression reported previously in the unaffected dFb [18] translated into decreased expression of mutant p53 protein as well, mutant p53 UV induction was compared in dFb from the affected LFS subject vs. the unaffected parent and the unrelated control subject using immunoblot analysis with an antibody (anti-mp53) developed to detect mutant p53 (mp53). While not exclusively specific to the Ser241Tyr mutation in the present study, this anti-mp53 was characterized by the manufacturer to detect six other p53 mutants within an 80 amino acid region of the DNA-binding domain surrounding Ser241Tyr [3] and not to detect wild-type p53.
Immunoblot analysis found mp53 expression by the affected dFb to be significantly greater than that of both the unaffected and wild-type control dFb at all time points 0–24 h after UV irradiation (Figure 2). While mp53 expression was also detectable in the unaffected dFb above the basal level of the unrelated wild-type control dFb (Figure 2B), it was only significantly higher than the wild-type control dFb at the 8 h time point after UV irradiation (Figure 2A). Hence, these results were as predicted based on the decreased mutant TP53 allele-specific mRNA expression previously reported for the unaffected dFb [18].

3.3. p53 Promoter Binding Activity Was Significantly Upregulated by UV Exposure in Affected LFS Fibroblasts

In addition to this significantly increased mp53 expression (Figure 2), significantly greater UV-induced p53[S15] phosphorylation was also reported [18] in affected dFb protein extracts, as discussed above relative to phospho-Chk1[S345]. Since both p53 phosphorylation [19,34] and mutation [35,36] have been found to potentially modify interaction with its various effector promoter binding sites, the affinity of UV-induced dFb nuclear extracts from the affected LFS vs. both the unaffected parent and unrelated control subjects was compared using an activity assay to measure p53 bound to a consensus promoter binding site [37]. The results of this assay found that affected dFb protein extracts had significantly higher p53 binding with the target consensus promoter element than that of the unaffected parent and the unrelated control subject dFb both before and 2–8 h after UV exposure (Figure 3). This finding suggested that the increased mp53 (Figure 2) in the affected dFb may alter its evident promoter binding affinity and/or specificity compared to wild-type p53 (Figure 3).

3.4. Cytosine Methylation of TP53 Gene Promoters Was Not Detected

It was hypothesized that genomic imprinting [38] via differential TP53 promoter methylation [39] may regulate its previously reported allele-specific expression in dFb from the unaffected parent [18]. To address this possibility, gDNA isolated from proliferating cultures of control, unaffected, and affected dFb was subjected to bisulfite conversion of unmethylated cytosines to uracils. Their TP53 gene promoter regions from −1654 to +54 were then DNA sequenced to identify any unconverted 5-methyl-/hydroxymethyl-cytosines.
Methylation of this promoter region was not detected for gDNA from any of these subjects, despite the presence of a canonical CpG island [39]. While there are reports of TP53 promoter methylation, its consistent role in TP53 regulation has yet to be established [39]. Indeed, there are other studies that did not detect its methylation either [40,41], one of which was also focused on LFS familial inheritance [41].

3.5. TP53 mRNA Was Significantly More Stable in Unaffected LFS Fibroblasts

To investigate potential molecular mechanisms regulating the previously reported TP53 allele-specific expression in the unaffected dFb [18], the expression of total TP53 mRNA was first compared by RT-qPCR analysis following UV exposure. This comparison found significantly increased total TP53 mRNA expression in the unaffected dFb vs. both affected and control dFb 8 h after UV exposure (Figure 4).
A prominent role for mRNA stability in regulating TP53 expression has been described [42,43,44], often superseding transcriptional control [45,46]. Consequently, the total TP53 mRNA half-life was compared in UV-induced dFb from the unaffected parent vs. the affected LFS and unrelated control subjects to determine its possible contribution to the higher UV-induced total TP53 mRNA expression found in the unaffected dFb (Figure 4). The results of this study found a comparable 10–11 h transcript half-life in both affected and control dFb (Figure 5). This relatively long TP53 mRNA half-life is consistent with that reported previously in other cells [42,43,46]. However, the UV-induced TP53 mRNA expressed by the unaffected dFb was found to be completely stable throughout the duration of this study (Figure 5). This higher TP53 mRNA stability very likely plays a role in the observed upregulation of the total TP53 mRNA expression in the unaffected dFb (Figure 4).
Additionally, this finding suggested that the previously reported preferential expression of the wild-type TP53 allele by the unaffected dFb may be regulated by its allele-specific mRNA stabilization. To investigate this possibility, the custom RT-PCR-RFLP assay previously designed to detect the TP53 mutation in this LFS family [18] was modified to measure allele-specific mRNA decay by including amplification of B2M as a stable reference standard [23,25]. This analysis found that, while 21.8 ± 9.0% and 17.7 ± 4.3% of wild-type TP53 mRNA had decayed after 6 h in affected and control dFb, respectively, essentially none (−0.1 ± 6.6%) had decayed in the unaffected dFb (Figure 6), as was also the case for total TP53 mRNA (Figure 5). Although less of the mutant TP53 mRNA also appeared to be decayed in the unaffected (16.1 ± 2.2%) vs. the affected (30.6 ± 9.5%) dFb, this difference (Figure 6) was not significant (p > 0.05). Additionally, the difference between wild-type (21.8 ± 9.0%) and mutant (30.6 ± 9.5%) TP53 mRNA decay in the affected dFb (Figure 6) was not significant either (p > 0.05).

4. Discussion

This study was designed to further characterize the potential dysregulation of cell cycle arrest [17] and TP53 allele-specific expression [20] previously reported for fibroblasts from an LFS unaffected carrier compared to his affected offspring in response to UV stress [18]. Our previous study suggested that the reduced UV induction of CDKN1A/p21 mRNA and protein expression by the affected dFb [18] could dysregulate p21-dependent cell cycle arrest response to UV stress [47], as has also been reported in affected dFb with other TP53 mutations [17].
Therefore, the first portion of the present study was designed to examine the signal transduction pathway regulating the cell cycle response to UV exposure. Phosphorylation of the cell cycle checkpoint kinases 1 (Chk1) and 2 (Chk2) [30], substrates of the key DNA damage protein kinase sensors, ATR and ATM, respectively [29], was selected for this analysis. This comparison found significantly increased phospho-Chk1[S345] in protein extracts from the affected dFb compared with both the unaffected and control dFb following UV exposure (Figure 1), whereas no significant UV-induced phospho-Chk2[T68] was found in any of the dFb tested. Unexpectedly, this UV-induced increase in phospho-Chk1[S345] was found to potentially be reinforced by the previously observed UV-induced phospho-p53[S15] upregulation in the affected dFb [18], since it has been shown that phospho-p53[S15] may play a role in sustaining activated phospho-Chk1[S345] [33].
In short, this increased phospho-Chk1[S345] would suggest a stronger cell cycle arrest response to UV exposure [48] in the affected dFb (Figure 1). Such a response would appear to potentially be at odds with the reduced UV induction of CDKN1A/p21 mRNA and protein expression by the affected dFb found in previous studies [17,18], which was suggested to be indicative of an aberrant p21-dependent cell cycle arrest response [47]. However, p21 is a multifunctional stress response factor regulating a variety of other key cell cycle processes, most notably senescence and apoptosis [49]. Hence, it is possible that, while UV activation of the ATR-Chk1 pathway may induce a more potent cell cycle arrest response to facilitate DNA repair in the affected LFS dFb [33], the accompanying reduced induction of CDKN1A/p21 in those affected dFb [17,18] may counteract this repair effort by impairing senescence or apoptosis of those cells with unrepaired DNA damage [49]. Additional experiments are underway to assess the mechanism of this potential cell cycle dysregulation in greater detail. In short, the upregulation of phospho-p53[S15] [18] and phospho-Chk1[S345] (Figure 1) combined with the reduced expression of p21 [17,18] in UV-induced affected dFb vs. unaffected and control dFb represent a striking irregularity that may play a key role in the onset of cancer.
The next portion of this study was designed to characterize properties of the p53 protein expressed by unaffected compared to affected dFb in response to UV exposure. First, immunoblot analysis with a commercial antibody developed to detect mutant p53 was performed to determine if the decreased mutant TP53 allele-specific mRNA expression reported previously in the unaffected dFb [18] translated into decreased expression of mutant p53 protein, as well. This was, in fact, found to be the case (Figure 2). Next, the p53 promoter binding activity of UV-induced nuclear extracts from the affected dFb vs. both the unaffected and control dFb was compared using an activity assay to measure p53 affinity for a consensus promoter binding site [37]. The resultant finding that protein extracts from the affected dFb had significantly higher p53 binding with the target consensus promoter element than that of the unaffected or the control dFb (Figure 3) may seem contrary to expectations, based on the atypical binding domain of the higher mutant p53 expressed by the affected dFb (Figure 2). However, the promoter binding affinity of mutant [35,36] and phosphorylated [19,34] p53 is not so predictable and can depend upon the specific target binding site as well [50], especially since there is considerable ambiguity in its consensus sequence [37]. In fact, this flexibility appears integral to the role of p53 in activating the complementary genetic programs for cell cycle arrest and/or apoptosis in response to genotoxic stress, such as UV exposure [1,35,51]. Taken together, the increased mutant p53 expression (Figure 2) and/or S15-phosphorylation [18] in protein extracts from the affected dFb are likely to play a role in regulating its promoter binding activity (Figure 3). Indeed, the reduced UV induction of CDKN1A/p21 expression [17,18] by the affected dFb observed in our previous study may be regulated by the altered binding affinity and/or specificity of mutant p53 [47,49] in these dFb (Figure 2 and Figure 3).
The final portion of this study was focused on investigating the mechanism regulating allele-specific expression of wild-type TP53 previously found in the heterozygous dFb from the unaffected parent [18]. Our initial hypothesis [18] that it may be regulated by genomic imprinting [38] via differential TP53 promoter methylation [39] was found not to be the case. Methylation of the TP53 promoter regions from −1654 to +54 was undetectable in gDNA from any of these subjects, despite the presence of a canonical CpG island [39]. Since a prominent role for mRNA stability in regulating TP53 expression has also been described [42,43,44,45,46], TP53 mRNA half-life was then compared in UV-induced unaffected dFb vs. affected and control dFb to determine its possible contribution to the higher UV-induced total TP53 mRNA expression found in the unaffected dFb (Figure 4). The strikingly high stability of UV-induced total TP53 mRNA expression by the unaffected dFb that was observed throughout the duration of the study (Figure 5) very likely contributed considerably to the upregulation of total unaffected dFb TP53 mRNA expression (Figure 4). Moreover, the subsequent analysis of TP53 allele-specific mRNA stability revealed that this high stability of total TP53 mRNA in the unaffected dFb (Figure 5) was reflected in the novel, specific stability of the wild-type TP53 mRNA, which was also uniquely stable in these cells throughout the study duration (Figure 6).
These results support the hypothesis that allele-specific stabilization of wild-type TP53 mRNA (Figure 6) likely plays a role in regulating both the higher total (Figure 4) and preferential wild-type [18] TP53 mRNA expression in the unaffected dFb. Studies to further investigate the detailed mechanism regulating this remarkable allele-specific TP53 mRNA stability are underway. Stabilization of the wild-type TP53 mRNA would appear to be central for the maintenance of wild-type p53 functional tumor suppression in the heterozygous unaffected LFS carrier.

Author Contributions

J.S.B. designed and conducted studies, wrote and revised manuscript. S.A.W. provided study design and technical guidance, reviewed and edited manuscript. D.J.N. provided study design guidance and funding acquisition support, reviewed and edited manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This work supported by Soccer for Hope Foundation, Center for Inherited Blood Disorders, CHOC Mad Hatter Guild, and Doug George Memorial Charity.

Institutional Review Board Statement

Sample collection for study as approved by Institutional Review Board of CHOC Children’s Hospital of Orange County (IH 1143361-1, 12/14/2017).

Informed Consent Statement

Informed consent obtained from all subjects involved in study.

Data Availability Statement

Data presented available on request from corresponding author. Due to patient privacy, data not publicly available.

Acknowledgments

The authors gratefully acknowledge the unwavering support and inspiration of the Wyss family and the DNA sequencing support of LeiQian Tai, as well as helpful discussions with Pejman Mohammadi, Steven R. Head, and their research teams from The Scripps Research Institute, La Jolla, CA, and with Nicholas J. Schork from The Translational Genomics Research Institute (TGen), Phoenix, AZ.

Conflicts of Interest

The authors declare no potential conflict of interest.

References

  1. Höpker, K.; Hagmann, H.; Khurshid, S.; Chen, S.; Schermer, B.; Benzing, T.; Reinhardt, H.C. Putting the brakes on p53-driven apoptosis. Cell Cycle 2012, 11, 4122–4128. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Vousden, K.H.; Lu, X. Live or let die: The cell’s response to p53. Nat. Rev. Cancer 2002, 2, 594–604. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Leroy, B.; Anderson, M.; Soussi, T. TP53 mutations in human cancer: Database reassessment and prospects for the next decade. Hum. Mutat. 2014, 35, 672–688. [Google Scholar] [CrossRef] [PubMed]
  4. Kamihara, J.; Rana, H.Q.; Garber, J.E. Germline TP53 mutations and the changing landscape of Li-Fraumeni Syndrome. Hum. Mutat. 2014, 35, 654–662. [Google Scholar] [CrossRef] [PubMed]
  5. Ruijs, M.W.G.; Verhoef, S.; Rookus, M.A.; Pruntel, R.; van der Hout, A.H.; Hogervorst, F.B.L.; Kluijt, I.; Sijmons, R.H.; Aalfs, C.M.; Wagner, A.; et al. TP53 germline mutation testing in 180 families suspected of Li-Fraumeni syndrome: Mutation detection rate and relative frequency of cancers in different familial phenotypes. J. Med. Genet. 2010, 47, 421–428. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Villani, A.; Tabori, U.; Schiffman, J.; Shlien, A.; Beyene, J.; Druker, H.; Novokmet, A.; Finlay, J.; Malkin, D. Biochemical and imaging surveillance in germline TP53 mutation carriers with Li-Fraumeni syndrome: A prospective observational study. Lancet Oncol. 2011, 12, 559–567. [Google Scholar] [CrossRef]
  7. Hoe, K.K.; Verma, C.S.; Lane, D.P. Drugging the p53 pathway: Understanding the route to clinical efficacy. Nat. Rev. Drug Discov. 2014, 13, 217–236. [Google Scholar] [CrossRef]
  8. Bykov, V.J.N.; Wiman, K.G. Mutant p53 reactivation by small molecules makes its way to the clinic. FEBS Lett. 2014, 588, 2622–2627. [Google Scholar] [CrossRef] [Green Version]
  9. Mai, P.L.; Malkin, D.; Garber, J.E.; Schiffman, J.D.; Weitzel, J.N.; Strong, L.C.; Wyss, O.; Locke, L.; Means, V.; Achatz, M.I.; et al. Li-Fraumeni syndrome: Report of a clinical research workshop and creation of a research consortium. Cancer Genet. 2012, 205, 479–487. [Google Scholar] [CrossRef] [Green Version]
  10. Toledo, F.; Wahl, G.M. Regulating the p53 pathway: In vitro hypotheses, in vivo veritas. Nat. Rev. Cancer 2006, 6, 909–923. [Google Scholar] [CrossRef]
  11. Toettcher, J.E.; Loewer, A.; Ostheimer, G.J.; Yaffe, M.B.; Tidor, B.; Lahav, G. Distinct mechanisms act in concert to mediate cell cycle arrest. Proc. Natl. Acad. Sci. USA 2009, 106, 785–790. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Lindsey-Boltz, L.A. Bringing It All Together: Coupling Excision Repair to the DNA Damage Checkpoint. Photochem. Photobiol. 2017, 93, 238–244. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Zhan, Q.; Carrier, F.; Fornace, A.J., Jr. Induction of cellular p53 activity by DNA-damaging agents and growth arrest. Mol. Cell. Biol. 1993, 13, 4242–4250. [Google Scholar] [CrossRef] [PubMed]
  14. Bruins, W.; Bruning, O.; Jonker, M.J.; Zwart, E.; van der Hoeven, T.V.; Pennings, J.L.A.; Rauwerda, H.; de Vries, A.; Breit, T.M. The absence of Ser389 phosphorylation in p53 affects the basal gene expression level of many p53-dependent genes and alters the biphasic response to UV exposure in mouse embryonic fibroblasts. Mol. Cell. Biol. 2008, 28, 1974–1987. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Gong, X.; Liu, A.; Ming, X.; Deng, P.; Jiang, Y. UV-induced interaction between p38 MAPK and p53 serves as a molecular switch in determining cell fate. FEBS Lett. 2010, 584, 4711–4716. [Google Scholar] [CrossRef] [Green Version]
  16. Latonen, L.; Taya, Y.; Laiho, M. UV-radiation induces dose-dependent regulation of p53 response and modulates p53-HDM2 interaction in human fibroblasts. Oncogene 2001, 20, 6784–6793. [Google Scholar] [CrossRef] [Green Version]
  17. Barley, R.D.; Enns, L.; Paterson, M.C.; Mirzayans, R. Aberrant p21WAF1-dependent growth arrest as the possible mechanism of abnormal resistance to ultraviolet light cytotoxicity in Li-Fraumeni syndrome fibroblast strains heterozygous for TP53 mutations. Oncogene 1998, 17, 533–543. [Google Scholar] [CrossRef] [Green Version]
  18. Buzby, J.S.; Williams, S.A.; Schaffer, L.; Head, S.R.; Nugent, D.J. Allele-specific wild-type TP53 expression in the unaffected carrier parent of children with Li-Fraumeni syndrome. Cancer Genet. 2017, 211, 9–17. [Google Scholar] [CrossRef] [Green Version]
  19. Ullrich, S.J.; Sakaguchi, K.; Lees-Miller, S.P.; Fiscella, M.; Mercer, W.E.; Anderson, C.W.; Appella, E. Phosphorylation at Ser-15 and Ser-392 in mutant p53 molecules from human tumors is altered compared to wild-type p53. Proc. Natl. Acad. Sci. USA 1993, 90, 5954–5958. [Google Scholar] [CrossRef] [Green Version]
  20. Robles-Espinoza, C.D.; Mohammadi, P.; Bonilla, X.; Gutierrez-Arcelus, M. Allele-specific expression: Applications in cancer and technical considerations. Curr. Opin. Genet. Dev. 2021, 66, 10–19. [Google Scholar] [CrossRef]
  21. Huschtscha, L.I.; Napier, C.E.; Noble, J.R.; Bower, K.; Au, A.Y.; Campbell, H.G.; Braithwaite, A.W.; Reddel, R.R. Enhanced isolation of fibroblasts from human skin explants. Biotechniques 2012, 53, 239–244. [Google Scholar] [CrossRef] [PubMed]
  22. Strutz, F.; Okada, H.; Lo, C.W.; Danoff, T.; Carone, R.L.; Tomaszewski, J.E.; Neilson, E.G. Identification and characterization of a fibroblast marker: FSP1. J. Cell Biol. 1995, 130, 393–405. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Suen, Y.; Chang, M.; Lee, S.M.; Buzby, J.S.; Cairo, M.S. Regulation of interleukin-11 protein and mRNA expression in neonatal and adult fibroblasts and endothelial cells. Blood 1994, 84, 4125–4134. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  24. Degasperi, A.; Birtwistle, M.R.; Volinsky, N.; Rauch, J.; Kolch, W.; Kholodenko, B.N. Evaluating strategies to normalise biological replicates of Western blot data. PLoS ONE 2014, 9, e87293. [Google Scholar] [CrossRef] [Green Version]
  25. Buzby, J.S.; Lee, S.M.; Van Winkle, P.; DeMaria, C.T.; Brewer, G.; Cairo, M.S. Increased granulocyte-macrophage colony-stimulating factor mRNA instability in cord versus adult mononuclear cells is translation-dependent and associated with increased levels of A + U-rich element binding factor. Blood 1996, 88, 2889–2897. [Google Scholar] [CrossRef] [Green Version]
  26. Belasco, J.G.; Brawerman, G. Chapter 18: Experimental approaches to the study of mRNA decay. In Control of Messenger RNA Stability; Belasco, J.G., Brawerman, G., Eds.; Academic Press: Boston, MA, USA, 1993; pp. 476–479. [Google Scholar] [CrossRef]
  27. Nakashima, H.; Akahoshi, M.; Tanaka, Y. Mutation detection using RT-PCR-RFLP. Methods Mol. Biol. 2003, 226, 319–322. [Google Scholar] [CrossRef]
  28. Buzby, J.S.; Williams, S.A.; Imfeld, K.L.; Kunicki, T.J.; Nugent, D.J. Tissue factor inflammatory response regulated by promoter genotype and p38 MAPK in neonatal vs. adult microvascular endothelial cells. Inflamm. Res. 2014, 63, 299–308. [Google Scholar] [CrossRef]
  29. Maréchal, A.; Zhou, L. DNA damage sensing by the ATM and ATR kinases. Cold Spring Harb. Perspect. Biol. 2013, 5, a012716. [Google Scholar] [CrossRef]
  30. Bartek, J.; Lukas, J. Chk1 and Chk2 kinases in checkpoint control and cancer. Cancer Cell 2003, 3, 421–429. [Google Scholar] [CrossRef]
  31. Abraham, R.T. Cell cycle checkpoint signaling through the ATM and ATR kinases. Genes Dev. 2001, 15, 2177–2196. [Google Scholar] [CrossRef] [Green Version]
  32. Ünsal-Kaçmaz, K.; Makhov, A.M.; Griffith, J.D.; Sancar, A. Preferential binding of ATR protein to UV-damaged DNA. Proc. Natl. Acad. Sci. USA 2002, 99, 6673–6678. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Wang, X.Q.; Stanbridge, E.J.; Lao, X.; Cai, Q.; Fan, S.T.; Redpath, J.L. p53-dependent Chk1 phosphorylation is required for maintenance of prolonged G2 arrest. Radiat. Res. 2007, 168, 706–715. [Google Scholar] [CrossRef] [PubMed]
  34. Jenkins, L.M.M.; Durell, S.R.; Mazur, S.J.; Appella, E. p53 N-terminal phosphorylation: A defining layer of complex regulation. Carcinogenesis 2012, 33, 1441–1449. [Google Scholar] [CrossRef] [Green Version]
  35. Garritano, S.; Inga, A.; Gemignani, F.; Landi, S. More targets, more pathways and more clues for mutant p53. Oncogenesis 2013, 2, e54. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  36. Bisio, A.; Ciribilli, Y.; Fronza, G.; Inga, A.; Monti, P. TP53 mutants in the tower of babel of cancer progression. Hum. Mutat. 2014, 35, 689–701. [Google Scholar] [CrossRef] [PubMed]
  37. El-Deiry, W.S. Regulation of p53 downstream genes. Semin. Cancer Biol. 1998, 8, 345–357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Plass, C.; Soloway, P.D. DNA methylation, imprinting and cancer. Eur. J. Hum. Genet. 2002, 10, 6–16. [Google Scholar] [CrossRef] [Green Version]
  39. Saldaña-Meyer, R.; Recillas-Targa, F. Transcriptional and epigenetic regulation of the p53 tumor suppressor gene. Epigenetics 2011, 6, 1068–1077. [Google Scholar] [CrossRef] [Green Version]
  40. Sidhu, S.; Martin, E.; Gicquel, C.; Melki, J.; Clark, S.J.; Campbell, P.; Magarey, C.J.; Schulte, K.M.; Röher, H.D.; Delbridge, L.; et al. Mutation and methylation analysis of TP53 in adrenal carcinogenesis. Eur. J. Surg. Oncol. 2005, 31, 549–554. [Google Scholar] [CrossRef]
  41. Finkova, A.; Vazna, A.; Hrachovina, O.; Bendova, S.; Prochazkova, K.; Sedlacek, Z. The TP53 gene promoter is not methylated in families suggestive of Li-Fraumeni syndrome with no germline TP53 mutations. Cancer Genet. Cytogenet. 2009, 193, 63–66. [Google Scholar] [CrossRef]
  42. Rosenstierne, M.W.; Vinther, J.; Mittler, G.; Larsen, L.; Mann, M.; Norrild, B. Conserved CPEs in the p53 3’ untranslated region influence mRNA stability and protein synthesis. Anticancer Res. 2008, 28, 2553–2559. [Google Scholar] [PubMed]
  43. Vilborg, A.; Glahder, J.A.; Wilhelm, M.T.; Bersani, C.; Corcoran, M.; Mahmoudi, S.; Rosenstierne, M.; Grandér, D.; Farnebo, M.; Norrild, B.; et al. The p53 target Wig-1 regulates p53 mRNA stability through an AU-rich element. Proc. Natl. Acad. Sci. USA 2009, 106, 15756–15761. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Lucchesi, C.; Zhang, J.; Chen, X. Modulation of the p53 family network by RNA-binding proteins. Transl. Cancer Res. 2016, 5, 676–684. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Li, L.; Rao, J.N.; Guo, X.; Liu, L.; Santora, R.; Bass, B.L.; Wang, J.Y. Polyamine depletion stabilizes p53 resulting in inhibition of normal intestinal epithelial cell proliferation. Am. J. Physiol. Cell Physiol. 2001, 281, C941–C953. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. Kim, H.; You, S.; Foster, L.K.; Farris, J.; Foster, D.N. The rapid destabilization of p53 mRNA in immortal chicken embryo fibroblast cells. Oncogene 2001, 20, 5118–5123. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  47. Fotedar, R.; Bendjennat, M.; Fotedar, A. Role of p21WAF1 in the cellular response to UV. Cell Cycle 2004, 3, 134–137. [Google Scholar] [CrossRef]
  48. Goto, H.; Kasahara, K.; Inagaki, M. Novel insights into Chk1 regulation by phosphorylation. Cell Struct. Funct. 2015, 40, 43–50. [Google Scholar] [CrossRef] [Green Version]
  49. Jung, Y.-S.; Qian, Y.; Chen, X. Examination of the expanding pathways for the regulation of p21 expression and activity. Cell. Signal. 2010, 22, 1003–1012. [Google Scholar] [CrossRef] [Green Version]
  50. Göhler, T.; Jäger, S.; Warnecke, G.; Yasuda, H.; Kim, E.; Deppert, W. Mutant p53 proteins bind DNA in a DNA structure-selective mode. Nucleic Acids Res. 2005, 33, 1087–1100. [Google Scholar] [CrossRef]
  51. Chen, J. The cell-cycle arrest and apoptotic functions of p53 in tumor initiation and progression. Cold Spring Harb. Perspect. Med. 2016, 6, a026104. [Google Scholar] [CrossRef]
Figure 1. Phospho-Chk1[S345] induction by dFb from affected LFS compared to unaffected or control subjects in response to UV exposure. Protein extracts of cultured dFb were subjected to immunoblot analysis following UV irradiation, as described. (A) Chemifluorescent signals corresponding to phospho-Chk1[S345] (56 kD) were normalized to those of total Chk1 protein (56 kD) following UV irradiation for each dFb source (n = 6: * p < 0.05, affected vs. unaffected dFb; p < 0.05, affected vs. control dFb). (B) Results from representative immunoblot.
Figure 1. Phospho-Chk1[S345] induction by dFb from affected LFS compared to unaffected or control subjects in response to UV exposure. Protein extracts of cultured dFb were subjected to immunoblot analysis following UV irradiation, as described. (A) Chemifluorescent signals corresponding to phospho-Chk1[S345] (56 kD) were normalized to those of total Chk1 protein (56 kD) following UV irradiation for each dFb source (n = 6: * p < 0.05, affected vs. unaffected dFb; p < 0.05, affected vs. control dFb). (B) Results from representative immunoblot.
Genes 13 02302 g001aGenes 13 02302 g001b
Figure 2. Mutant p53 (mp53) protein induction by dFb from affected LFS compared to unaffected or control subjects in response to UV exposure. Protein extracts of cultured dFb were subjected to immunoblot analysis following UV irradiation, as described. (A) Chemifluorescent signals corresponding to mp53 (53 kD) were normalized to those of β-actin (43 kD) following UV irradiation for each dFb source (n = 8: * p < 0.05 affected vs. unaffected dFb; p < 0.05, affected vs. control dFb; p < 0.05 unaffected vs. control dFb). (B) Results from representative immunoblot.
Figure 2. Mutant p53 (mp53) protein induction by dFb from affected LFS compared to unaffected or control subjects in response to UV exposure. Protein extracts of cultured dFb were subjected to immunoblot analysis following UV irradiation, as described. (A) Chemifluorescent signals corresponding to mp53 (53 kD) were normalized to those of β-actin (43 kD) following UV irradiation for each dFb source (n = 8: * p < 0.05 affected vs. unaffected dFb; p < 0.05, affected vs. control dFb; p < 0.05 unaffected vs. control dFb). (B) Results from representative immunoblot.
Genes 13 02302 g002
Figure 3. p53 promoter binding activity by dFb from affected LFS compared to unaffected or control subjects in response to UV exposure. TF-Detect Human p53 Activity Assay Kit (GeneCopoeia, Rockville, MD, USA) was used to compare amount of consensus p53 promoter binding site activity in nuclear protein extracts from proliferating dFb ±UV irradiation, according to manufacturer’s recommendations (n = 4: * p < 0.05, affected vs. unaffected dFb; p < 0.05, affected vs. control dFb; p < 0.05, vs. -UV irradiation (time = 0 h)).
Figure 3. p53 promoter binding activity by dFb from affected LFS compared to unaffected or control subjects in response to UV exposure. TF-Detect Human p53 Activity Assay Kit (GeneCopoeia, Rockville, MD, USA) was used to compare amount of consensus p53 promoter binding site activity in nuclear protein extracts from proliferating dFb ±UV irradiation, according to manufacturer’s recommendations (n = 4: * p < 0.05, affected vs. unaffected dFb; p < 0.05, affected vs. control dFb; p < 0.05, vs. -UV irradiation (time = 0 h)).
Genes 13 02302 g003
Figure 4. TP53 mRNA expression by dFb from unaffected compared to affected LFS or control subjects in response to UV exposure. Total dFb RNA was analyzed by RT-qPCR following UV irradiation, as described. Expression of TP53 mRNA normalized relative to HPRT1 mRNA was calculated based on ΔΔCq values at each sample time point (n = 4: * p < 0.05, affected vs. unaffected dFb; p < 0.05, affected vs. control dFb).
Figure 4. TP53 mRNA expression by dFb from unaffected compared to affected LFS or control subjects in response to UV exposure. Total dFb RNA was analyzed by RT-qPCR following UV irradiation, as described. Expression of TP53 mRNA normalized relative to HPRT1 mRNA was calculated based on ΔΔCq values at each sample time point (n = 4: * p < 0.05, affected vs. unaffected dFb; p < 0.05, affected vs. control dFb).
Genes 13 02302 g004
Figure 5. TP53 mRNA half-life by dFb from unaffected compared to the affected LFS or control subjects following UV exposure. Total dFb RNA was analyzed by RT-qPCR following transcriptional inhibition with actinomycin D for the time periods indicated after UV irradiation, as described. Expression of TP53 mRNA normalized relative to HPRT1 mRNA as a stable reference standard was calculated based on ΔΔCq values at each sample time point (n = 5). mRNA half-life (time after which 50% of initial TP53 mRNA remains) was calculated by curve fit regression analysis with Prism V.3 (GraphPad Software). () Unaffected, () Affected, and () Control.
Figure 5. TP53 mRNA half-life by dFb from unaffected compared to the affected LFS or control subjects following UV exposure. Total dFb RNA was analyzed by RT-qPCR following transcriptional inhibition with actinomycin D for the time periods indicated after UV irradiation, as described. Expression of TP53 mRNA normalized relative to HPRT1 mRNA as a stable reference standard was calculated based on ΔΔCq values at each sample time point (n = 5). mRNA half-life (time after which 50% of initial TP53 mRNA remains) was calculated by curve fit regression analysis with Prism V.3 (GraphPad Software). () Unaffected, () Affected, and () Control.
Genes 13 02302 g005
Figure 6. Wild-type TP53 allele-specific mRNA stabilization in dFb from unaffected compared to affected LFS or control subjects following UV exposure. RT-PCR-RFLP assay customized to detect the heterozygous Ser241Tyr C > A TP53 mutation in this LFS family was used to calculate proportions of wild-type and mutant TP53 mRNA remaining 6 h after transcriptional inhibition with actinomycin D following UV irradiation, as described (n = 4: * p < 0.05, unaffected wild-type vs. unaffected mutant; p < 0.05, unaffected wild-type vs. affected wild-type; § p < 0.05, unaffected wild-type vs. affected mutant; p < 0.05, unaffected wild-type vs. wild-type control). Expression of TP53 allele mRNA was normalized relative to B2M mRNA as a stable reference standard.
Figure 6. Wild-type TP53 allele-specific mRNA stabilization in dFb from unaffected compared to affected LFS or control subjects following UV exposure. RT-PCR-RFLP assay customized to detect the heterozygous Ser241Tyr C > A TP53 mutation in this LFS family was used to calculate proportions of wild-type and mutant TP53 mRNA remaining 6 h after transcriptional inhibition with actinomycin D following UV irradiation, as described (n = 4: * p < 0.05, unaffected wild-type vs. unaffected mutant; p < 0.05, unaffected wild-type vs. affected wild-type; § p < 0.05, unaffected wild-type vs. affected mutant; p < 0.05, unaffected wild-type vs. wild-type control). Expression of TP53 allele mRNA was normalized relative to B2M mRNA as a stable reference standard.
Genes 13 02302 g006
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Buzby, J.S.; Williams, S.A.; Nugent, D.J. Unaffected Li-Fraumeni Syndrome Carrier Parent Demonstrates Allele-Specific mRNA Stabilization of Wild-Type TP53 Compared to Affected Offspring. Genes 2022, 13, 2302. https://doi.org/10.3390/genes13122302

AMA Style

Buzby JS, Williams SA, Nugent DJ. Unaffected Li-Fraumeni Syndrome Carrier Parent Demonstrates Allele-Specific mRNA Stabilization of Wild-Type TP53 Compared to Affected Offspring. Genes. 2022; 13(12):2302. https://doi.org/10.3390/genes13122302

Chicago/Turabian Style

Buzby, Jeffrey S., Shirley A. Williams, and Diane J. Nugent. 2022. "Unaffected Li-Fraumeni Syndrome Carrier Parent Demonstrates Allele-Specific mRNA Stabilization of Wild-Type TP53 Compared to Affected Offspring" Genes 13, no. 12: 2302. https://doi.org/10.3390/genes13122302

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop