Abstract
Lung cancer is the most common cause of cancer-related death in the U.S. and globally.
Cigarette smoking remains the leading risk factor for lung cancer, in part by inducing loss -of-
function mutations in tumor suppressor genes, including TP53. While most cancers share a set
of common “hotspot” mutations in p53, lung cancer exhibits an additional, distinct cluster of
hotspot mutations. This cluster is typified by the missense mutations TP53:p.V157F and
TP53:p.R158L. While canonical hotspot mutations cause br oad misfolding of p53 or eliminate
specific DNA contact residues, mechanistic studies of the lung cancer mutants reported here
demonstrate that they retain the ability to bind the same genomic sites as wild-type p53. Despite
actively binding to traditional p53 target genes, the lung cancer mutants are defective in activating
transcription. To our knowledge, this represents the first demonstration of functional inactivation
of the p53 tumor suppressor at a point after DNA binding, but prior to target gene ac tivation.
Relevant to the sequential inactivation of each p53 allele during cancer progression, the lung
cancer mutants block the activity of a wild -type p53 allele when co -expressed in a dominant
negative manner . Identification of this loss -of-function mechanism has key implications for
therapeutic strategies aimed at restoring p53 function in lung cancer.
Introduction
Functional inactivation of the p53 tumor suppressor protein is an essential step in the
progression of most human cancers [1-3]. Distinct from most tumor suppressors, inactivation of
p53 typically involves retention of the entire TP53 gene in cancer cells [4, 5]. Instead of gene
deletion, single amino acid alterations in the p53 protein are introduced as a consequence of point
mutations in the underlying locus [6]. This results in tumor cells producing a full-length p53 protein
that is non-functional due to the inactivating properties of a single missense mutation [7].
As a sequence -specific transcription factor, wild-type p53 function relies on a highly
structured central domain in which several amino acids make direct hydrogen bonds with DNA
[8-10]. Many of the DNA contact residues in p53 are hotspots for mutation in cancer, presumably
because alterations at these sites prevent the protein from binding to DNA [10]. Additional
mutational hotspots in p53 occur at amino acids that trigger protein misfolding, leading to a loss
of DNA binding by p53 and a defect in the transcription of target genes related to key cellular
processes such as cell cycle control, DNA damage repair, and apoptosis [11-13]. These
observations have led to a decades -long search for strategies to “correct” the function of the
mutant p53 protein in human cancer [14]. At the biochemical level, these reactivation strategies
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have focused on refolding p53 into a conformation that restores sequence-specific DNA binding,
with numerous clinical trials based on this strategy [15, 16].
We report here that human lung cancer contains a set of missense mutations in the p53
DNA-binding domain that debilitate p53 function by a distinct mechanism. These lung cancer
mutations do not impair the ability of p53 to bind its normal sites in the genome and would not
respond to current reactivation strategies. Instead, these lung cancer-enriched mutations impair
the ability of p53 to induce the transcription of downstream target genes in a non-productive DNA
binding manner. The identification of a uniq ue biochemical mode of p53 inactivation has broad
implications for the efficacy of reactivation strategies as a therapeutic approach in human cancer.
Materials and methods
Cell Culture
Human NCI-H460 (ATCC HTB -177), NCI-H1299 (ATCC CRL -5083), and NCI-H2087 (ATCC
CRL-5922) cells were purchased from the American Type Culture Collection (ATCC, Manassas,
VA). Following the receipt of the cell lines, aliquots of passages 2–5 were frozen in liquid nitrogen.
New aliquots were thawed every 4–6 months for use in experiments. NCI-H460 and NCI-H2087,
cells were maintained in RPMI 1640 (Corning) supplemented with 10% Benchmark fetal bovine
serum ( 100-106, Gemini) or 10% tetracycline (TET) negative fetal bovine serum ( 100-800,
GeminiBio) for the TET -inducible system, 1X Glutamine (100X, A2916801, Gibco) under 37°C
and 5% CO2 conditions. NCI-H1299 cells were maintained in Dulbecco’s Modified Eagle Medium
(Corning) supplemented with 10% tetracycline negative fetal bovine serum (100-800, GeminiBio),
1X Glutamine (100X, A2916801, Gibco) under 37°C and 5% CO2 conditions. Cells were passaged
twice weekly, and Mycoplasma contamination was monitored by a PCR detection kit (30-1012K,
ATCC).
Tetracycline-inducible p53-expressing stable cell lines were generated in NCI-H1299 and
NCI-H460 cells via lentiviral infection using ViraPower HiPerform Lentiviral Expression System
(Invitrogen) [17]. p53 expression vectors were generated in pLenti6.3/V5 -DEST cloning vectors
(Invitrogen). Expression vectors encoding for Val158 to F (V157F) and Arg158 to L (R158L) p53
mutants (V157F; R158L) were generated using the QuikChange II Site-Directed Mutagenesis kit
(Agilent). Expression of wild-type ( WT) p53, V157F p53, and R158L p53 were induced with
tetracycline (T7660, Millipore Sigma).
Cellular Images
Cellular images were captured by the EVOS XL Core Imaging System (AMEX1000, Invitrogen by
Thermo Fisher Scientific).
Camptothecin (CPT) Treatment
Camptothecin (J62523.03, Thermo Fisher Scientific) was used at 2 M to investigate p53
response to DNA damage. For TET+CPT conditions, cells were treated with TET for 16 hours to
allow for induction of p53, and then CPT was added for 6, 24, or 48 hours.
Immunoblotting
Cells were harvested and lysed in a Nonidet P -40-based whole-cell lysis buffer supplemented
with a protease inhibitor cocktail ( P8340, Sigma-Aldrich). Lysate concentration was determined
using bicinchoninic acid (BCA) assay and analyzed by SDS–PAGE using antibodies against p53
(sc-126, Santa Cruz Biotechnology), GAPDH (#5174, Cell Signaling Technology), and Caspase-
3 (#9662, Cell Signaling Technology). All the antibodies were used 1:1000 in TBS-T.
CellTiter-Glo 2.0 Cell Viability Assay
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The CellTiter-Glo 2.0 cell viability assay (G9242, Promega) assessed cell viability by quantifying
the amount of ATP, indicating metabolically active cells. 10-000-25,000 cells were plated per well
into a 96 -well plate (781971, BrandTech) and allowed to adhere overnight. Per
experiment, cells were treated with the indicated treatments and time respectively. The media
was removed, and 100L of fresh media was added per well. 100L per well of CellTiter-Glo 2.0
reagent was added, and the contents were mixed by a shaker. The plate was incubated at room
temperature for 10 minutes. Luminescence wa s determined using a PolarStar Optima plate
reader (BMG LabTech) at room temperature.
Cell Quantification
Cells were collected with Accutase (07922, Innovative Cell Technologies) and spun down at
1300rpm for 5 minutes. Cells were resuspended with media and 25L per sample was diluted 1:1
with trypan blue (2680430, Invitrogen). Cells were quantified using Countess 3 (Invitrogen).
Cell Cycle Analysis by Flow Cytometry
Cells were collected with Accutase and spun down at 1300rpm for 5 minutes. Cells were washed
two times with phosphate buffer saline (PBS) (10010-023, Gibco), and then resuspended in PBS.
500,000 cells were placed in a 15mL conical tube with a total volume of 300 L PBS. Cells were
fixed by adding 200 proof ethanol dropwise, while vortexing the cells to prevent clumping, to a
final concentration of 70% ethanol. Cells were incubated on ice for 30 minutes with vortexing
every 5 minutes. Cells were spun down at 1600rpm for 5 minutes and supernatant was aspirated.
Cells were resuspended in 50 L RNAse solution (5 g RNAse in 50 L PBS, R1253, Thermo
Fisher Scientific) and 100 L propidium iodide (PI) staining solution (556463, BD Biosciences).
Cells were stained for 15 minutes in the dark at room temperature. 350 L of PBS was added to
the cell suspension, and then the solution was pipetted into a FACS tube with a cell strainer
(352235, Falcon). The data was collected by flow cytometry on a Cyto FLEX (Beckman Coulter)
using CytExpert (v1.2 Beckman Coulter). Data was analyzed with FlowJo (10.10.0) to perform the
cell cycle analysis. Reported data are from a population of 30,000 cells.
Apoptosis Analysis by Flow Cytometry
Apoptosis was measured using the FITC annexin V apoptosis detection kit (556547, BD
Pharmingen) following manufacturer’s instructions. Cells were collected with Accutase and spun
down at 1300rpm for 5 minutes. Cells were washed two times with PBS, and then resuspended
in 1X binding buffer. 5L of FITC annexin V and 5L of PI staining solution was added to 100L
of cell suspension containing 100,000 cells. Samples were incubated at room temperature for 15
minutes in the dark. 400 L of 1X binding buffer was added to each sample. Samples were
pipetted into a FACS tube with a cell strainer. The data was collected by flow cytometry on a
Cytoflex using Cytexpert. The data was analyzed with FlowJo, and reported data are from a
population of 30,000 cells.
Click-it Reaction
H2087 cells were collected with trypsin (25053CI, Corning) and plated on chamber slides (80427,
Ibidi) to adhere for 24 hours at a confluency of ~70% . Cells were labelled with media containing
5M 5 -ethynyl-2′-deoxyuridine (EdU, 7207, Tocris) for 1.5 hours, followed by 30 minutes of
regular media. Cells were washed with PBS and then fixed for 15 minutes with 3.7% formaldehyde
(252549, Sigma-Aldrich). Cells were washed with PBS and then permeabilized with 0.25% Triton
X-100 (21568-0010, Acros Organics ) for 10 minutes. Cells were washed and blocked with 1%
BSA (BP1605-100, Thermo Fisher Scientific) for 10 minutes. Click-it reaction was performed for
30 minutes in the dark using 0.1M copper sulfate (C1297, Sigma -Aldrich), 1mM Biotin Azide
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(900891, Sigma-Aldrich), 0.1M Ascorbic Acid (255564, Sigma -Aldrich) and 0.1x PBS, and then
the cells were washed with PBS. DNA biotinylation enabled proximity ligation assay.
Proximity Ligation Assay
Performed proximity ligation assay (PLA) following manufacturer’s protocol for Duolink In Situ
Detection Reagents (DUO92008, Sigma -Aldrich). Cells were blocked for 10 minutes with 1x
western blocking solution (11921673001, Roche) and 1.5% normal donkey serum (017-000-121,
Jackson ImmunoResearch). The following primary antibodies (one rabbit and one mouse per
condition) were added at a 1:1000 dilution: rabbit IGG (NI01, EMD Millipore), Anti -Biotin (rabbit,
AB53494, Abcam), or p53 (mouse, sc-126, Santa Cruz Biotechnology). The samples were placed
in a humidity chamber at 4C overnight and remained in the humidity chamber until mounting was
completed.
The samples were washed with PBS for 15 minutes and blocked briefly with 1x western
blocking solution. The samples were incubated with PLA probes diluted in 1x western blocking
solution for 1 hour at 37 C. The samples were washed with Buffer A, and the ligation step was
performed for 30 minutes at 37C. The samples were washed with Buffer A, and the amplification
step was performed for 1 hour and 40 minutes at 37 C. The slides were washed with PBS and
stored in mounting medium with DAPI (50011, Ibidi). The slides were stored at 4C until imaging
using the DeltaVision Ultra widefield microscope system.
Luciferase Reporter Assay
The pGL3 firefly luciferase reporter plasmids made for p21 (GAACATGTCCcAACATGTTg) and
BAX (GGGCAgGCCCCGGGCTTGCTg) response elements have been described previously [18,
19]. Cells were transfected with 1g of firefly luciferase reporter plasmid (p21 or BAX), 250ng of
p53 expression vectors (WT, V157F, R158L, or EV), and 200ng of pRL -TK Renilla luciferase
control reporter vector (E2241, Promega) using Lipofectamine 3000 ( L3000015, Invitrogen)
according to manufacturer’s instructions. Dual-luciferase reporter assay system kit (E1910,
Promega) was used for data collection. Cells were harvested 24 hours post -transfection with
passive lysis buffer. Luminescence of samples was detected by a GloMax® Explorer (3.2.3,
Promega) and recorded in relative light units (RLU).
RNA-sequencing
H1299 cells containing a TET-inducible plasmid for WT, V157F, or R158L p53 were treated with
TET or TET+CPT as described above and collected. Total RNA was extracted using the RNeasy
Plus Mini Kit (74134, Qiagen) following the manufacturer’s protocol. RNA was quantified, and the
RNA integrity number (RIN) was verified using an RNA ScreenTape® for Tapestation 4150
(v4.1.1, Agilent). All samples used for library preparation and subsequent sequencing had a RIN
value above 8.0. Directional RNA libraries were pr epared using 1μg of total RNA as input and
using NEBNext® Poly(A) mRNA Magnetic Isolation Module (E7490L, New England Biolabs) ,
NEBNext® UltraTM II Directional RNA Library Prep Kit for Illumina ® (E7760L, New England
Biolabs), and NEBNext® Multiplex Oligos Dual Index Primers for Illumina (E7600S and E7780S,
New England Biolabs) according to the manufacturer’s instructions. Libraries were sequenced on
a NextSeq 2000 (Illumina) generating single-end 150 bp reads.
RNA-sequencing Analysis
FastQC (https://github.com/s-andrews/FastQC) was used for quality control of all raw fastq files
and adapters were removed using TrimGalore! (https://github.com/FelixKrueger/TrimGalore).
Reads mapping to each gene in each sample were quantified to abundanc e using Kallisto [20].
Abundance was then converted to raw gene count via DESeq2 [21]. The raw gene count for each
sample was used to determine differential gene expression (p -value < 0.05; FDR <5%) .
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Abundance was used to determine transcript per million for data visualization. All statistical
analyses were performed using Kallisto v0.50.0, DESeq2 v1.40.2 [21], R v4.2.3 and Prism
1v0.1.1.
Reverse Transcription-Quantitative Polymerase Chain Reaction (RT-qPCR) Analysis
Cells were collected and total RNA was extracted using the RNeasy Plus Mini Kit following
manufacture’s protocol. cDNA was created from 2 μg of RNA using the High -Capacity cDNA
Reverse Transcription Kit ( 4368814, Thermo Fisher Scientific) following manufacturer’s
instructions. RT-qPCR was performed on the cDNA using the Fast SYBR TM Green Master Mix
(4385612, Thermo Fisher Scientific) following manufacturer’s instructions on the Step One Plus
Real Time -PCR system (v2.3 , Applied Biosystems ). mRNA levels between samples were
normalized to GAPDH transcript levels. Primer sequences are listed in Supplemental Table 1.
Chromatin Immunoprecipitation (ChIP)
ChIP was performed as previously described [22] with minor alterations. Approximately 15 million
cells were cross-linked with 1% formaldehyde for 10 minutes rocking at room temperature, and
then quenched with 125mM glycine (BP381, Fisher Scientific) for 5 minutes. The cells were
washed twice with 1X PBS. Chromatin was extracted from the fixed cells as described in [23].
The fixed cell pellet was lysed with ChIP lysis buffer 1 (50 mM Hepes-KOH, pH 7.5; 140 mM NaCl;
1mM EDTA; 10% Glycerol; 0.5% Igepal CA-630; 0.25% Triton X-100), rocked for 10 minutes, and
then spun down at 2000xRCF for 5 minutes. The supernatant was aspirated, and the pellet was
lysed with ChIP lysis buffer 2 (10 mM Tris -HCL, pH8.0; 200 mM NaCl; 1 mM EDTA; 0.5 mM
EGTA), rocked for 5 minutes, and then spun down at 2000xRCF for 5 minutes. The supernatant
was aspirated, and the nuclei pellet was lysed with ChIP lysis buffer 3 (10 mM Tris-HCl, pH 8;
100 mM NaCl; 1 mM EDTA; 0.5 mM EGTA; 0.1% Na -Deoxycholate; 0.5% N-lauroylsarcosine).
Chromatin was sheared to an average base-pair length of 100-300 using the Q800R2 Sonicator
(QSonica) kept at 4 °C with circulating chiller ( 4905-110, QSonica), with 50% amplitude, and a
pulse of 20 seconds on and 20 seconds off, for 20 minutes of sonication on time. 80 μL TE with
1% SDS was added to 20μL for each sonicated sample. 2μg/μL RNase and 2μg/μL Proteinase K
(25530-015, Thermo Fisher Scientific) were added to each sample and incubated for 1 hour at
65°C. Samples were purified with the Monarch® PCR & DNA Cleanup Kit (T1030L, New England
Biolabs) following manufacture’s protocol. The chromatin shearing efficiency of the samples was
checked by D1000 ScreenTape® Tapestation 4150 (v4.1.1, Agilent).
The remainder of the sonicated samples kept on ice, had Triton X -100 ( 21568-0010,
Thermo Fisher Scientific) added to a final concentration of 1%. The samples were centrifuged at
20,000xRCF for 10 minutes at 4°C. The supernatant was collected, and 2% input samples were
collected and stored at -20°C. The remaining sheared chromatin was diluted 1:3 in ChIP lysis
buffer 3 with 1% Triton X-100. The sheared chromatin was incubated with 15μg antibodies (p53,
AHO0152, Thermo Fisher Scientific; mIGG, sc -2025, Santa Cruz Biotechnology) and
DynabeadsTM Protein G beads (10004D, Thermo Fisher Scientific) rotating overnight at 4°C. The
beads were washed three times with ChIP wash buffer (0.1% SDS; 1% Triton X -100; 10mM
EDTA; 150mM NaCl; 20mM Tris-HCl pH 8.0). The beads were washed a final time with final ChIP
wash buffer (0.1% SDS; 1% Triton X -100; 10mM EDTA; 500mM NaCl; 20mM Tris -HCl pH 8.0).
The beads were resuspended in 1X TE containing 1% SDS and incubated at 65°C for 10 min,
and this was repeated twice to elute all th e immunocomplexes. The inputs were diluted to the
same volume as the ChIP samples, and the inputs and ChIP samples were incubated overnight
at 65°C to reverse cross -linking. The samples were digested with Proteinase K (0.5 μg/μL) for 1
hour at 65°C, and then the DNA was purified using the ChIP DNA Clean & ConcentratorTM (D5205,
Zymo Research).
ChIP-qPCR
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After the samples were purified by the ChIP DNA Clean & Concentrator TM kit, the samples were
resuspended with water to a total volume of 100 μL. Samples were analyzed by qPCR with 2 μL
of each ChIP sample per well in triplicate for each ChIP -qPCR primer, ChIP -qPCR primer
sequences are found in Supplemental Table 2.
ChIP-sequencing
After the samples were purified by the ChIP DNA Clean & Concentrator TM kit, the samples were
quantified with 1X dsDNA HS Assay Kit (Q33231, Thermo Fisher Scientific) on the Qubit 4
(Thermo Fisher Scientific). Barcoded libraries were prepared with NEBNext ® UltraTM II DNA
Library Prep Kit for Illumina® using NEBNext® Multiplex Oligos for Illumina® (Dual Index Primers
Set 1) (E7600S, New England BioLabs). Libraries were sequenced on a NextSeq 2000 (Illumina)
generating single-end ~138 bp reads.
ChIP-sequencing Analysis
FastQC (https://github.com/s-andrews/FastQC) was used for quality control of all raw fastq files
and adapters were removed using TrimGalore! (https://github.com/FelixKrueger/TrimGalore). The
sequences were then aligned to human reference genome hg19 using the Burrows -Wheeler
Alignment tool with the MEM algorithm [24]. Aligned reads were filtered with a mapping quality
greater than 10 (MAPQ >10) and PCR duplicates were removed. Peaks were called using MACS2
[25] with default parameters and FDR < 5%. All statistical analyses were performed using
BEDTools [26], deepTools [27], R v4.2.3, and Prism 1v0.1.1. ChIP peaks were visualized in
Integrative Genomics Viewer [28] on genome build hg19. Only one representative ChIP replicate
was used for data visualization purposes.
Publicly Accessible ChIP-sequencing
For the publicly accessible data used, FASTQ files for each sample were downloaded from GEO:
GSE238181 [35] and GSE59176 [36]. FastQC (https://github.com/s-andrews/FastQC) was used
for quality control of all raw fastq files and adapters were removed using TrimGalore!
(https://github.com/FelixKrueger/TrimGalore). The sequences were then aligned to human
Reference
genome hg19 using the Burrows-Wheeler Alignment tool with the MEM algorithm [24].
Aligned reads were filtered with a mapping quality greater than 10 (MAPQ >10) and PCR
duplicates were removed. Bigwigs were created for visualization in Integrative Genomics Viewer
[28].
Motif Analysis
Fasta files for the regions of interest were produced using BEDTools [26]. Motif analysis of all p53
bound regions was performed using MEME-ChIP [29], The MEME Suite [30]. The motif discovery
and enrichment mode were performed in classic mode using Human motifs. The number of motifs
discovered was set to 10 with a maximum motif width set to 20. All other parameters were set to
default.
p53 Protein Purification
Untagged, thermostable, N-terminally truncated human p53 (residues 94 -393) and its Val158 to
F (V157F) and Arg158 to L (R158L) mutants were expressed in BL21 -CodonPlus (DE3)-RIL E.
coli (Stratagene). 6L of bacteria cell cultures were grown at 37°C until th ey reached an
OD600 equal to 0.5–0.8. Cells were then shifted to 18°C. Protein expression was induced by the
addition of 0.2mM isopropyl -β-D-thiogalactoside (IPTG). Cells were harvested by centrifugation
(20 minutes at 7500 × g and 4°C), resuspended in cell lysis buffer [20 mM bis-tris propane (BTP,
pH 6.8), 200mM NaCl, 2mM DTT, and 0.5mM Tris (2 -carboxyethyl) phosphine hydrochloride
(TCEP)] and homogenized by an Emulsiflex C5 cell disruptor (Avestin). Cell lysates were
centrifuged at 35,000 × g for 30 min utes at 4°C and cleared cell extracts were loaded onto a
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HiTrap SP cation exchange column (GE Healthcare) pre -equilibrated with a lysis buffer. The
proteins were eluted using a linear gradient of NaCl from 200mM to 1M concentration. Eluted
proteins were then loaded onto a HiTrap Q anion exchange column (GE Healt hcare) to remove
residual nucleic acids, and the protein-containing flow-through was collected. Finally, the pooled
protein was concentrated and loaded onto a HiLoad Superdex 200 16/60 size exclusion column
(GE Healthcare) and eluted in a buffer containing 150mM NaCl, 20mM BTP (pH 6.8), and 0.5mM
TCEP. Final protein concentrations were estimated by measuring absorbance at 280nm.
Colloidal Blue Staining
Colloidal blue staining was performed with a colloidal blue staining kit (LC6025, Invitrogen)
following manufacturer protocol for Novex® Tris-glycine gels. Samples were loaded into the gel
in addition to either Benchmark Protein Ladder (110747012, Thermo Fisher Scientific) or
Precision Plus Protein Dual Color Standards (#1610374, Bio -Rad) for a ladder. The
electrophoresis process was conducted at 100V. The gel was stained for 3 hours with colloidal
blue solution and then destained for 8 hours with deionized water before being imaged.
Surface Plasmon Resonance (SPR)
SPR experiments were performed using a Biacore X100 instrument (GE Healthcare) at 25 C
using streptavidin coated sensor chips (Sensor chip SA, Biacore X100; GE Healthcare). Sensor
chips were primed with running buffer (20mM BTP (pH 6.8); 200mM NaCl; 50µg/mL BSA; 0.005%
Tween-20; 0.5mM TCEP) until resonance units (RUs) on all flow cells were stable. Biotinylated
dsDNAs were resuspended at a final concentration of 10nM in running buffer and immobilized on
the SA sensor chip by injecting at a flow rate of 10µL/min until RUs reached 250. Each experiment
utilized two flow cells; DNA was immobilized on one flow cell, and the other flow cell served as a
reference. DNA sequences listed in Supplemental Table 3.
To determine p53 DNA binding affinity constants, p53 protein solutions (1, 10, 25, 50, 100,
and 200nM protein concentrations, diluted in running buffer) were delivered to the flow cell with
immobilized dsDNA and reference cell at a flow rate of 30µL/min for 300 seconds to measure
association, followed by dissociation where only running buffer was flowed at 30µL/min for 240
seconds. Between experiments, the sensor chip surface was regenerated by two 120 -second
injections of running buffer containing 500mM Na Cl at 30µL/min to remove any remaining p53
protein from the dsDNA.
Kinetic parameters (association (ka), dissociation (kd), and affinity (KD)) were obtained
using BIAevaluation software 2.1 (GE Healthcare). First, RUs collected for the flow cell containing
immobilized dsDNA were subtracted by RUs obtained from the reference cell. Then, sensorgrams
were globally fitted for all p53 protein concentrations to the Langmuir binding model of simple 1:1
bimolecular interaction. Goodness of fit was evaluated based on the χ2 value and visual
inspection.
Statistical Analysis
Data are expressed as mean standard deviation. All statistical analysis was performed using
GraphPad Prism 10 Version 10.3.1 (464) unless stated otherwise. The data are a representation
of three independent biological replicates unless stated otherwise.
Results
The V157F p53 mutant binds DNA in endogenously expressing cells
The V157F p53 mutant regulates a novel transcriptome [31, 32]. However, the mechanism
behind this regulation is unknown . To determine whether the V157F p53 mutant binds DNA to
perform gain-of-function activities, proximity ligation assay (PLA) was performed. The human lung
adenocarcinoma line H2087 is homozygous for the V157F p53 mutation. In these cells,
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significantly increased proximity between p53 and DNA was observed (Figure 1A, Supplemental
Figure 1). In fact, quantification of these images demonstrated that the H2087 experimental
condition (p53 + Biotin) had significantly higher PLA signal compared to the three control
conditions (Figure 1B). These results suggest that the V157F p53 mutant is in close proximity to
DNA and may be bound to DNA.
Lung cancer cells accumulate p53 mutations in a small cluster of amino acids (V157,
R158, A159) that are not commonly mutated in other forms of cancer. Given their physical
proximity, it was of interest to assess whether other missense mutations at this cluster have similar
biological effects. V157F and R158L missense mutations of p53 are the most common alterations
in this lung cancer cluster, and we previously showed that these two missense mutations have a
similar impact on oxidative stress response [32, 33]. ChIP-seq was performed to determine where
V157F and R158L mutant p53 may be bound in the genome . H2087 (V157F p53), H66 1
(homozygous for the R158L p53 mutant allele ), and H460 (WT p53) cells were treated with
camptothecin (CPT). CPT binds and inhibits topoisomerase I , causing DNA damage during S-
phase of the cell cycle and leading to activation of WT p53 [34]. V157F p53 (H2087) and R158L
p53 (H661) were bound at many of the same sites as WT p53 (H460), including canonical WT
p53 target genes for both cell cycle arrest genes , such as p21 and RRM2B , and pro-apoptotic
genes, such as BAX and PUMA (Figure 1C). In H460 (WT p53) cells, 282 peaks were identified
at promoters. Of these 282 promoters bound by WT p53, 241 were bound by V157F (H2087) and
223 were bound by R158L (H661). While V157F and R158L p53 mutants are bound at the same
location as WT p53, they have less signal intensity at these sites compared to WT p53.
Two p ublicly available ChIP -seq datasets (GSE238181 [35] and GSE59176 [36 ]) that
include data from WT p53 cell lines (MOLM-13 and MCF7) and mutant p53 cell lines (NB -
4:R248Q, Mono -Mac-6:R273H, HCC70 :R248Q, BT549 :R249S, MDA -MB-468:R273H) were
utilized to demonstrate that mutant p53 variants are not commonly bound at WT p53 loci. Of these
publicly available ChIP-seq data, WT p53 was bound at the same loci as the WT p53 (H460),
V157F p53 (H2087), and R158L p53 (H661) (Figure 1C). The five different p53 mutants from the
publicly available ChIP-seq data had no binding at WT p53 target genes (Figure 1C). The results
from a motif analysis for WT p53 (H460), V157F p53 (H2087), and R158L p53 (H661) are shown,
and all three have a strikingly similar positional weight matrix for the p53 canonical binding
sequence (Figure 1D-F). These results suggest that the V157F and R158L p53 mutants bind at
WT p53 target genes, which is unique for p53 mutants.
To verify the finding that V157F p53 mutant binds at WT p53 target genes from the ChIP-
seq analysis, ChIP -qPCR was also performed on H2087 (V157F) and H460 (WT) cells. The
binding sites of WT p53 at target genes p21, RRM2B, BAX, and PUMA were used to verify that
mutant p53 binds to the same genomic region as WT p53 (Figure 1G-J). V157F p53 (H2087) was
bound at canonical WT p53 target genes at levels similar to WT p53 with CPT treatment (Figure
1G-J). CPT treatment increased WT p53 (H460) binding at canonical WT p53 target genes as
expected, and V157F p53 (H2087) was bound at similar levels with or without CPT stimulus
(Figure 1G-J). These results suggest that the V157F p53 mutant is able to bind at canonical WT
p53 target genes, which is an unprecedented finding for a p53 mutant.
V157F and R158L p53 mutants bind DNA similar to WT p53 in vitro
To further support the PLA and ChIP data, t he interaction kinetics between p53 and
different DNA sequences w ere studied using a surface plasmon resonance (SPR) approach. A
thermostable, N-truncated version of p53 was used for these experiments, previously shown to
retain the same DNA binding ability as WT p53 protein (Figure 2A) [18, 37, 38]. WT, V157F, and
R158L versions of p53 were purified for use with SPR (Figure 2B). Salt concentrations of 200mM
and 275mM were utilized as they have been previously shown in published works to greatly
decrease non-specific binding [18]. WT p53 target genes p21 and BAX, along with a scrambled
DNA sequence as a control, were used to test the binding affinity for the p53 variants at salt
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concentrations of 200mM and 275mM, and protein concentrations ranging from 1nM to 200nM
(Figure 2C, Supplemental Figure 2). The interaction between the p21 response element sequence
and either of the p53 mutants resulted in a slightly lower maximum resonance unit (RU) value
than that of the interaction between the p21 response element and WT p53 (Figure 2D). There
was no difference in binding interaction between the three p53 variants and the BAX response
element (Figure 2E). All three p53 variants did not have a strong binding affinity for the scrambled
sequence as expected (Figure 2F). The DNA binding affinity for each of the p53 variants was
determined and expressed through the dissociation constant KD (Table 1). The KD for p53
mutants at WT p53 target gene response elements are strikingly similar to the KD of WT p53.
The binding interactions between the three p53 variants and WT p53 target genes AEN,
PLK3, and PUMA were also tested, and the data suggests that the p53 mutants bind similarly to
WT p53 at these genes (Supplemental Figure 3A-B, Supplemental Table 4). This is evidence that
the mutant protein can bind WT p53 target gene sequences but raises the question as to whether
they can form tetramers. This was tested by using a crosslinking agent, glutaraldehyde, and
performing gel electrophoresis to determine whether tetramers are forming for each purified p53
protein. The WT, V157F, and R158L p53 proteins can form dimers and tetramers, indicated by
the bands at 2x and 4x the purified protein molecular weight upon addition of glutaraldehyde
(Supplemental Figure 4). These results suggest that V157F and R158L p53 mutants can
tetramerize and interact with WT p53 response elements similarly to WT p53.
V157F and R158L p53 mutants bind DNA when expressed in p53-null lung cancer cells
The results suggest that endogenous V157F p53 (H2087) and R158L (H661) are able to
bind to DNA. However, to determine whether this observation was cell type-specific property, we
utilized a H1299 tetracycline (TET)-inducible expression system to compare the DNA-binding
affinity of mutant and WT p53 in a p53-null background. The benefits of this system allow for the
protein to be expressed at similar levels and in the same genetic background, thus removing most
genomic variability for comparing binding affinities . A representative immunoblot of whole -cell
lysate was used to confirm TET-induction of p53 in the H1299 TET-system (Figure 3A). Utilizing
ChIP-qPCR, the binding sites of WT p53 at target genes p21 and BAX were used to verify that
mutant p53 binds to the same genomic region as WT p53 (Figure 3B). All conditions were found
to bind DNA significantly over the IgG control for p21 (Figure 3B). WT, V157F, and R158L were
all found to bind significantly over IgG control only in the CPT-treated conditions for BAX (Figure
3B). These results suggest that the V157F and R158L p53 mutants are able to bind a t some
degree to WT p53 target genes in the H1299 TET-system.
To further investigate whether mutant p53 can bind DNA at the same areas as WT p53,
ChIP-seq was performed on samples containing either TET-inducible WT p53, V157F p53, or
R158L p53 induced with TET, and some conditions were additionally treated with CPT to induce
DNA damage for robust p53 activity . ChIP-seq peaks for WT p53, V157F p53, and R158L p53
are shown with and without CPT treatment at WT p53 target genes p21, PLK3, BAX, and PUMA
(Figure 3C). V157F p53 is bound at representative WT p53 target genes similarly to WT p53, and
R158L p53 is clearly bound at WT p53 target genes but to a lesser extent than WT p53, indicated
by a lower signal intensity (Figure 3C). The motif analysis for the CPT-treated conditions indicated
that WT p53, V157F p53, and R158L p53 all have a similar binding preference for the p53
canonical binding sequence (Figure 3D-F). The KEGG p53 signaling pathway (hsa04115) was
utilized to determine the overlap of WT p53 signaling genes identified as bound between WT p53,
V157F p53, and R158L p53 from the ChIP-seq analysis [39-41]. A majority of the genes in the
KEGG p53 signaling pathway were identified as bound in the V157F p53 and WT p53 groups in
the presence or absence of CPT (Figure 3G-H). R158L p53 was found to be bound at a smaller
subset of the p53 signaling genes compared to WT p53 or V157 F p53 (Figure 3G -H). These
Results
suggest that V157F p53 and R158L p53 expressed in a TET -inducible system bind to
canonical WT p53 target genes at levels comparable to WT p53 under endogenous conditions.
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These data support that this binding is a biological feature of these lung-enriched p53 mutants
rather than a cell type-specific property.
V157F and R158L p53 mutants fail to induce WT p53 target genes
To assess whether the p53 mutants (V157F or R158L) are able to induce the expression
of WT p53 target genes that the mutant protein binds to, RNA -seq was conducted utilizing the
H1299 TET-expression system. H1299 cells conditionally expressing either WT, V157F, or R158L
p53 were treated with CPT to induce DNA damage for robust p53 activation or left untreated.
RNA-seq analysis identified 2286 differentially expressed genes (p < 0.05; FDR < 5%; log2FC +/-
1.5) in the V157F p53 CPT -treated condition compared to the WT p53 CPT -treated condition
(Figure 4A). Additionally, 2797 genes were differentially expressed (p < 0.05; FDR < 5%; log2FC
+/- 1.5) in the R158L p53 CPT-treated condition compared to the WT p53 CPT-treated condition
(Figure 4B). Canonical WT p53 target genes were a mong both sets of differentially expressed
genes. In the mutant p53 conditions, p21, PLK3, BAX, and PUMA were significantly
downregulated in both the TET and TET+CPT-treated groups compared to the corresponding WT
p53 condition, with the exception of PUMA for the R158L CPT -treated group, which was not
significantly different from the WT p53 CPT-treated group (Figure 4C). These data suggest that
the V157F or R158L p53 mutants are unable to induce expression of WT p53 target genes to a
similar level of WT p53 even though they bind to the same target sequence.
To confirm the results from the RNA-seq that V157F and R158L p53 mutants are unable
to express WT p53 target genes, RT-qPCR was performed utilizing the H1299 TET-expression
system. TET expression of WT p53 alone or in combination with CPT treatment induces
expression of WT p53 target genes p21, PLK3, BAX, and PUMA (Figure 4D). TET expression of
V157F p53 or R158L p53 alone or in combination with CPT treatment does not induce expression
of WT p53 target genes p21, PLK3, BAX, and PUMA ( Figure 4D). CPT treatment alone without
TET expression of p53 has little impact on the expression of WT p53 target genes as expected
(Figure 4D). The expression of WT p53 target genes p21, PLK3, BAX, and PUMA was verified in
endogenously expressing cell lines H460 (WT p53), H2087 (V157F p53), and H661 (R158L p53)
utilizing RT-qPCR. Following CPT treatment, both mutant p53 cell lines had significantly lower
expression of WT p53 target genes than WT p53 expressing cells (H460) (Supplemental Figure
5). These data support the RNA-seq findings and suggest that the V157F and R158L p53 mutants
are unable to induce functional expression of WT p53 target genes.
A luciferase reporter assay was utilized to further validate that these p53 mutants are
unable to induce the expression of representative WT p53 cell cycle control and apoptotic target
genes, p21 and BAX , respectively. The same quantity of luciferase reporter plasmid and p53
expression vector encoding either WT p53, V157F p53, R158L p53, or vector alone (EV) was
transfected into a H1299 p53 -null cell. The cells were lysed, and the lysate was immunoblotted
for p53 to show similar p53 levels across the samples (Figure 4E). WT p53 significantly induced
the expression of both p21 and BAX ( Figure 4F-G). The expression of either V157F or R158L
mutant p53 does not significantly induce the expression of either p21 or BAX compared to empty
vector control (Figure 4F-G). These results suggest that the V157F and R158L p53 mutants do
not induce the expression of canonical WT p53 cell cycle control and apoptotic target genes.
V157F and R158L p53 mutants are defective for apoptosis induction
We sought t o determine whether the observed non -productive binding of these lung -
enriched p53 mutants results in a biological consequence. WT p53 has been shown to cause cell
cycle arrest and cell death by apoptosis when cells are treated with a DNA-damaging agent [42-
44]. CPT was used as the DNA-damaging agent to trigger apoptosis and determine if mutant p53
could induce apoptosis in the same capacity as WT p53. This was first assessed by a cell viability
assay in the H1299 TET -expression system ( Figure 5A). In CPT -treated conditions, WT p53
expression significantly reduced cell viability compared to either V157F or R158L p53 (Figure 5A).
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Live cell numbers were also quantified , and under CPT-treated conditions, WT p53 exhibited a
significantly lower live cell population compared to either V157F or R158L p53 , consistent with
productive apoptosis (Figure 5B). Flow cytometry with a nnexin V and propidium iodide (PI)
staining was also used to functionally measure apoptosis. The TET-only cell populations had
comparable levels of annexin V and PI staining via flow cytometry among the p53 samples (Figure
5C). CPT-treated c ells expressing WT p53 had a rightward shift of the cell population to the
second and third quadrants indicating an increase in PI-positive cells, annexin V-positive cells, or
double positive cells (Figure 5C). The increase in annexin V-positive cells was drastically higher
in CPT -treated cells expressing WT p53 compared to cells expressing V157F or R158L p53
(Figure 5C). These data suggest that V157F and R158L p53 induce apoptosis at a reduced
capacity compared to WT p53 following CPT treatment.
To determine whether mutant p53 ha s an impact on cell cycle arrest, DNA content was
analyzed in fixed cells by flow cytometry. The TET-only cell populations had similar percentages
of cells in each cycle cell stage: Sub G1, G1, S, and G2/M (Figure 6A-B, Supplemental Table 5).
After treatment of CPT for 24 hours, cells expressing WT p53 had a drastic increase in cells with
Sub G1 and G1 DNA content compared to cells expressing V157F or R158L p53 (Figure 6A-B,
Supplemental Table 5). The cells expressing V157F or R158L p53 with treatment of CPT for 24
hours had a substantial increase in cells with S -phase DNA content and appear ed to be in S -
phase cell cycle arrest (Figure 6A-B, Supplemental Table 5 ). After treatment with CPT for 48
hours, cells with V157F or R158L p53 had an increase in cells with Sub G1 and G2/M DNA content
compared to the 24-hour CPT-treated conditions (Figure 6A-B, Supplemental Table 5). However,
the 48-hour CPT-treated cells expressing WT p53 had the most cells with Sub G1 DNA content,
indicating a higher percentage of cells were apoptotic compared to cells with V157F or R158L
p53 (Figure 6A-B, Supplemental Table 5). Cell imaging studies further support the flow cytometry
data, where cells expressing V157F or R158L p53 undergo cell cycle arrest, and cells expressing
WT p53 exhibit increased apoptosis (Supplemental Figure 6A). We next investigated whether
mutant p53 exhibited a gain-of-function contributing to increased cell cycle arrest. However, cell
cycle arrest was CPT-dependent and not mutant p53-dependent, indicating that CPT induces cell
cycle arrest independently of p53 status (Supplemental Figure 6B). In contrast, CPT induced
apoptosis specifically in WT p53-expressing cells, whereas mutant p53-expressing cells remained
arrested and did not undergo apoptosis to the same extent as WT p53 cells. These data indicate
that V157F and R158L p53 exhibit a reduced ability to promote CPT-induced apoptosis compared
to WT p53, consistent with a loss-of-function rather than a gain-of-function phenotype.
V157F and R158L p53 mutants exhibit a dominant-negative phenotype
It was determined that the V157F and R158L p53 mutants participate in non-productive
DNA binding at canonical WT p53 target genes . Considering a dominant-negative (DN)
phenotype is common amongst p53 mutants, it raises the question of whether these p53 mutants
may impact WT p53 function through a DN effect when co -expressed. To assess whether these
p53 mutants exert a DN phenotype on WT p53 , the H1299 (WT p53) system was utilized. WT
p53 was expressed using TET , and either mutant p53 or empty vector w ere expressed via lipid
transfection ( Figure 7A). A dual-luciferase reporter assay was performed as a readout for
transcription of the p21 and BAX genes. The presence of V157F, R158L, or EV alone showed no
significant increase in transcription signal for both p21 and BAX (Figure 7B, 7C). WT p53 induction
via TET resulted in a significant increase in transcription of both p21 and BAX in the EV condition
as expected (Figure 7B-C). Co-expression of either V157F or R158L p53 mutant with TET -
induced WT p53 resulted in a significant reduction in transcription for both p21 and BAX genes
(Figure 7B-C). To further support this observation, expression of WT p53 target genes p21, PLK3,
BAX, and PUMA were measured by RT-qPCR (Figure 7D-G). Co-expression of either V157F or
R158L p53 mutant with TET -induced WT p53 also resulted in a significant reduc tion in
transcription for each WT p53 target gene (Figure 7D-G). These data suggest that V157F and
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R158L mutant p53 both exert a DN phenotype on WT p53 when co -expressed in a H1299
background.
To assess whether TET-induced mutant p53 would exert a DN phenotype on
endogenously expressed WT p53, we utilized the H460 ( pl:V157F p53) TET-system that
expresses endogenous WT p53 and plasmid-encoded V157F p53 (pl:V157F p53) following TET
treatment. WT p53 and subsequent transcription of WT p53 target genes were induced with CPT
treatment, and expression of V157F p53 was induced by TET. Expression of WT p53 target genes
p21, PLK3, BAX, and PUMA were measured by RT -qPCR (Figure 7H-K). Each WT p53 target
gene had significantly increased expression with CPT treatment in the 0 M TET condition with
no presence of the V157F p53 mutant (Figure 7H-K). Co-expression of V157F mutant p53 in the
0.25M and 1M TET conditions caused a significant reduction in transcription signal of each of
the WT p53 target genes (Figure 7H-K). The biological impact of the DN phenotype was further
assessed by immunoblotting for the apoptosis marker cleaved caspase-3 (CC3) [45] (Figure 7L).
Co-expression of V157F mutant p53 in the 0.25 M and 1 M TET conditions reduced protein
levels of CC3 compared to CPT treatment alone (Figure 7L). The biological impact was also
assessed using a cell viability assay. Co -expression of V157F mutant p53 with CPT treatment
significantly increased cell viability compared to CPT treatment alone in the H460 (pl:V157F p53)
TET-system (Figure 7M). In the H460 (pl:WT p53) TET-system, expression of TET-induced WT
p53 had no impact on cell viability compared to CPT treatment alone (Figure 7N). Taken together,
these data show that the V157F p53 mutant and R158L p53 mutant have DN phenotypes when
co-expressed with WT p53.
Discussion
Loss of p53 function is a near obligatory step in the development and progression of
human cancer [46]. Most frequently, p53 inactivation results from individual missense mutations
that cause either the generalized misfolding of the protein or the disruption of p53 binding to its
canonical genomic sites. Among the mutations that occur most commonly across all cancer types,
missense mutations at R175 and Y220 can trigger protein misfolding, and mutations at DNA
contact residues, R248 and R273, eliminate sequence-specific DNA interactions [47]. In addition
to these ubiquitous hotspot mutations, lung cancer contains an additional hotspot mutation cluster
whose activities whose impact is not well -understood. We report here that mutations within this
cluster do not cause either p53 misfolding or disruption of its sequence -specific DNA binding
capacity. Instead, the function of these p53 mutants is inhibited at a discrete biochemical step
subsequent to target gene binding, but prior to transcriptional induction. The identification of non-
productive DNA binding by mutant p53 represents a significant advance in our understanding of
the biochemical mechanisms responsible for loss of tumor suppressor function in human cancer.
Non-productive DNA binding by the lung -enriched V157F and R158L p53 mutants may
relate to these mutants existing in two conformational states, mutant and “WT -like” [48]. The
existence of a “WT-like” state for each of these mutants may allow them to bind DNA at WT p53
target genes but not induce gene expression. It is unclear whether the mutant form prevents
transactivation of the target gene or if the “WT -like” state is unable to induce gene expression.
Therapeutic strategies that force these p53 mutants into a “WT -like” conformation could be
sufficient to restore WT function. Restoring WT p53 function is a central goal of many drug
development programs targeting mutant p 53 [15]. The findings presented here may identify a
novel point of intervention for strategies aimed at reconfiguring specific p53 mutants into a “WT-
like” state.
Early in the development of most human cancers, incipient tumor cells often harbor one
mutant p53 allele while retaining the other WT allele prior to loss of heterozygosity . As p53
functions as a tetramer, the co -expression of mutants and WT alleles result in the formation of
inactive heterotetramers [49]. In some cases, even a single monomer carrying a conformational
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or DNA-binding site mutation can inactivate the tetramer [50, 51]. It remains plausible that a DN
phenotype could provide advantages in the earliest stages of tumorigenesis when mutant p53
and wild-type p53 are co -expressed, and help drive the loss of heterozygosity [52, 53] .
Furthermore, a DN effect has been shown to be the driving selection force for TP53 missense
mutations in myeloid malignancies [54]. We postulate that the DN phenotype of V157F and R158L
may play a minor role in their enrichment in lung cancer.
The discovery that the lung cancer -enriched p53 mutations do not disrupt sequence -
specific DNA binding but instead block target gene transactivation raises the possibility that these
mutations eliminate the ability of p53 to recruit transcriptional cofactors. Current efforts are
focused on understanding whether cofactor recruitment or other events in the transcription cycle
are defective in lung cancer cells carrying these p53 mutants.
Acknowledgements
The authors would like to thank Dr. Jason Hill and BioImaging Core for their help and use of their
facilities. The authors thank the Genomic Facility at the Wistar Institute for the Next Generation
Illumina Sequencing. The authors thank Dr. Charles Scott and Elizabeth McDuffie for their
expertise and use of their equipment. The authors thank Dr. Erik Debler and Dr. Hideharu
Hashimoto for assistance with p53 protein purification. The authors thank Dr. Alexander Mazo
and Dr. Tyler Fenstermaker for their helpful advice.
Author Contributions
MAT and SBM designed the project. MAT, HNS, SMB, KMK, TQ, and JEK contributed to
experiments. MAT, HNS, and SMB analyzed data. MAT and JAB provided critical advice and
tools for the study. MAT and SM wrote the manuscript. All the authors read and approved the
manuscript.
Funding
This study was supported by funding from Pennsylvania Commonwealth Universal Research
Enhancement (CURE) and the Bioimaging Shared Resource of the Sidney Kimmel Cancer Center
(NCI 5 P30 CA-56036).
Ethics Statement
N/A
Conflict of Interest
None declared.
Data Availability
The RNA-sequencing and ChIP -sequencing data reported in this study are available in GEO:
GSE318292 and GSE318294.
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Figure 1: V157F and R158L p53 mutants bind at WT p53 target genes in endogenous cells.
A, Proximity ligation assay (PLA) was performed on H2087 (V157F p53) cells. Samples included the
experimental condition (p53 + Biotin), rabbit I gG in place of the biotin antibody (Rb I gG), a sample with no
biotin azide added to the click-it reaction to mark the DNA (no Biotin), and a sample where p53 was depleted
from the cells with shRNA (p53 KD). Images shown are of merged DAPI (blue) and PLA signal (red)
channels, and PLA signal alone (white). B, PLA images containing 100-300 cells per image were quantified
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by the area of the PLA signal over the nuclei count in the image. p53 + Biotin was significantly different
from all three controls by one-way ANOVA, * p-value <0.05. C, ChIP-seq was performed on H460 (WT p53)
and H2087 (V157F p53) cells treated with CPT ( 2M) for 6 hours (Tracewell, et al.). Data from two other
publicly available datasets were used (GSE238181 [35] and GSE59176 [36]) that feature cell lines with
both WT p53 and different p53 mutants. Signal intensity of p53 binding at representative p53 targ et genes
p21, PLK3, BAX, and PUMA visualized in Integrative Genomics Viewer [28]. Peak scaling was grouped
separately for each experiment. WT p53 tracks are blue, and p53 mutant tracks are red/orange. D-F,
Enriched query motifs at p53 (WT, V157F, or R158L) bound regions identified by MEME-ChIP [29, 30]. The
black line highlights the conserved p53 consensus core sequence “C(A/T)(A/T)G”. G-J, ChIP-qPCR was
performed on H2087 and H460 (WT p53) cells. The ChIP samples were analyzed by qPCR with primers
designed at WT p53 binding sites of p53 target genes: p21, RRM2B, BAX, and PUMA. A two-way ANOVA
was performed to determine significant differences in binding between the p53 ChIP sample and the
corresponding IgG control, *** p-value <0.001, ** p-value <0.01, ns: non-significant.
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Figure 2: V157F and R158L p53 mutants bind to p53 target genes similar to WT p53.
A, Schematic of full -length WT p53 and protein purified N-p53 construct used for subsequent SPR
experiments. B, Coomassie Brilliant Blue staining for protein purified N-p53 constructs of WT, V157F, and
R158L p53. C, SPR binding data in resonance units (RU) for WT, V157F, and R158L p53. 1nM -200nM
protein concentrations were used at a salt concentration of 275mM. Binding was checked using p21 and
BAX response elements, as well as a scrambled control DNA sequence. D-F, Comparisons between WT
and mutant p53 displaying the 200nM protein concentration at 275mM salt concentration for p21 (D), BAX
(E), and scrambled (F).
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Table 1: KD values derived from SPR data for WT p53 and mutant p53 binding interactions with different
DNA sequences at different salt concentrations.
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Figure 3: V157F and R158L p53 mutants bind at WT p53 target genes in TET-inducible system.
A, Representative i mmunoblot of whole cell lysates collected from samples used for subsequent
experiments. The samples consisted of H1299 cells with TET-inducible plasmids for WT, V157F, or R158L
p53. Cells were treated with TET alone (1g/mL) or TET (1g/mL) followed by CPT (2M) for an additional
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6 hours. The samples had successful induction of p53, and GAPDH was used as a loading control. B, ChIP-
qPCR was performed on H1299 cells with TET -inducible plasmids for WT, V157F, or R158L p53 treated
with TET alone (1 M) and treated with CPT ( 2M) for 6 hours or left untreated. The ChIP samples were
analyzed by qPCR with primers designed at WT p53 binding sites of p53 target genes: p21 and BAX. Data
values given in percentage input. Significance is shown comparing the p53 ChIP sample to the
corresponding IgG control, Two-way ANOVA, *** p <0.001, ** p <0.01, * p <0.05, ns: non-significant. C,
ChIP-seq was performed on H1299 cells containing a TET-inducible plasmid for WT, V157F, or R158L p53
that were treated with TET (1 M) alone for 22 hours or TET (1M) for 16 hours and then CPT (2M) for 6
hours. Signal intensity of p53 binding at representative p53 target genes p21, PLK3, BAX, and PUMA
visualized in Integrative Genomics Viewer [28]. Peak scaling was grouped separately for each condition;
WT p53 (blue), V157F p53 (red), and R158L p53 (purple). D-F, Enriched motifs at p53 (WT, V157F, or
R158L) bound regions in the TET+CPT-treated condition identified by MEME-ChIP [29, 30]. The black line
highlights the conserved p53 consensus core sequence “C(A/T)(A/T)G”. G-H, Venn diagrams displaying
the number of genes in the KEGG p53 signaling pathway (hsa04115) [39-41] that are bound in WT, V157F,
and R158L p53 in both TET-treated and TET+CPT-treated conditions via ChIP-seq.
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Figure 4: V157F and R158L p53 mutants do not express WT p53 target genes
H1299 cells containing a TET-inducible plasmid for WT, V157F, or R158L p53 were treated with TET (1M)
alone or TET (1M) and then CPT (2M) for 24 hours. A, Volcano plot of differentially expressed genes in
the V157F p53 mutant expressed CPT -treated condition relative to the WT p53 expressed CPT -treated
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condition determined by DESeq2 [21]. Pink points represent differentially expressed genes (p < 0.05; FDR
< 5%; Log 2Fold Change +/ -1.5, n=2286). B, Volcano plot of differentially expressed genes in the R158L
p53 mutant expressed CPT -treated condition relative to the WT p53 expressed CPT -treated condition
determined by DESeq2 [21] . Green points represent differentially expressed genes (p < 0.05; FDR < 5%;
Log2Fold Change +/-1.5, n=2797). C, Violin plots displaying Log2TPM of WT p53 target genes p21, PLK3,
BAX, and PUMA for TET and TET+CPT treated conditions. Significance is shown for comparison to WT
p53 in the respective treatment group, Two-way ANOVA, *** p <0.001, ** p <0.01, ns: non-significant. D,
RNA was isolated from H1299 cells containing a TET-inducible plasmid for WT, V157F, or R158L p53. The
cells were treated with TET only (1 M), CPT only (2 M), TET and CPT, or left untreated. RTq -PCR was
performed on the cDNA samples for the WT p53 target genes: p21, PLK3, BAX, and PUMA. Significance
is shown for comparison to the UT condition, Two-way ANOVA, *** p <0.001, ns: non-significant. E, Whole-
cell lysates were collected from H1299 cells 24 hours post -transfection with a luciferase reporter plasmid
for p21 or BAX and 500ng of expression plasmid for WT p53, V157F p53, R158L p53, or empty vector (EV).
Immunoblot of the whole -cell lysates for p53 and loa ding control of GAPDH. F-G, Lysates from ( E) were
measured for luminescence in relative light units (RLU) for either p21 (F) or BAX (G). Significance is shown
for WT p53 compared to other conditions, One-way ANOVA, *** p <0.001, ns: non-significant.
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Figure 5: V157F and R158L p53 mutant cells do not induce apoptosis at the same rate as WT p53 cells in
response to CPT treatment.
For (A-C), H1299 cells containing a TET-inducible plasmid for WT, V157F, or R158L p53 were treated with
TET (1M) alone, or treated with TET (1 M) and CPT (2 M) was additionally added for either 24 or 48
hours. A, Cell viability was measured at 48 hours post-addition of CPT. A two-way ANOVA was performed
to determine significant differences in cell viability between conditions, significance is shown for comparing
TET+CPT conditions, ** p -value <0.01. B, Cell quantification was performed on the cells 48 hours post -
addition of CPT. A two-way ANOVA was performed to determine significant differences between conditions,
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significance is shown for comparing TET+CPT conditions, *** p -value <0.001. C, Cells were collected and
incubated with a staining solution of FITC Annexin V and propidium iodide (PI). The stained cells were
analyzed by flow cytometry.
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Figure 6: V157F and R158L p53 mutant cells undergo cell cycle arrest, whereas WT p53 cells undergo
apoptosis after CPT treatment.
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A, H1299 cells containing a TET -inducible plasmid for WT, V157F, or R158L p53 were treated with TET
(1M) alone, or treated with TET (1 M) and CPT (2M), which was additionally added for either 24 or 48
hours. Cells were collected, and cell cycle analysis by flow cytometry was performed. Data analysis and
histogram creation were done in FlowJo (10.10.0) . One-way ANOVA, Two-way ANOVA, p < 0.05. B, Pie
charts representing the percentage of cells in each stage of the cell cycle (Sub G1, G1, S, and G2/M) are
shown from the cell cycle analysis performed in (A).
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Figure 7: V157F and R158L p53 mutants have a dominant-negative phenotype.
A, H1299 cells with a TET-inducible plasmid for WT p53 were transfected with a luciferase reporter plasmid
for p21 or BAX, and 250ng of expression plasmid for V157F p53, R158L p53, or empty vector (EV). Samples
were treated with TET (1 M) to induce expression of WT p53 or left untreated. Immunoblot of the whole -
cell lysates for p53 and GAPDH as a loading control. B-C, Lysates from (A) were measured for
luminescence in relative light units (RLU) for either p21 (B) or BAX (C). Two -way ANOVA was used for
statistical analysis, *** p-value <0.001, ns: non-significant. D-G, H1299 cells with a TET -inducible plasmid
for WT p53 were treated with TET (1 M) to induce WT p53 expression or left untreated. Cells were also
transfected with 250ng of expression plasmid for V157F p53, R158L p53, or empty vector (EV). RNA was
isolated from the samples, and RTq -PCR was performed on the cDNA samples for the WT p53 t arget
genes: p21 (D), PLK3 (E), BAX (F), and PUMA (G). H-K, H460 (WT p53) cells with a TET-inducible plasmid
for V157F p53 (pl:V157F p53) were treated with TET (0.25 M or 1 M) or left untreated (0 M). The cells
were also treated with CPT (2 M) or equivalent amount of DMSO (0.01%) for 6 hours. RNA was isolated
from the cells, and RTq-PCR was performed on the cDNA samples for the WT p53 target genes: p21 (H),
PLK3 (I), BAX (J), and PUMA (K). Two-way ANOVA was used for statistical analysis, significance is shown
for comparison to 0M TET + CPT condition, * p-value <0.05. L, H460 (WT p53) cells with a TET-inducible
plasmid for V157F p53 (pl:V157F p53) were treated with TET (0.25M or 1M) or left untreated (0M). The
cells were also treated with CPT (2 M) or equivalent amount of DMSO (0.01%) for 48 hours. Whole cell
lysates of the cells were collected and probed for p53, cleaved caspase-3 (CC3), and GAPDH as a loading
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control. M, H460 (WT p53) cells with a TET-inducible plasmid for V157F p53 (pl:V157F p53) were treated
with TET (0.25M or 1M) or left untreated. The cells were also treated with CPT (2M) for 48 hours or left
untreated. Cell viability was measured at 48 hours post CPT treatment. A two-way ANOVA was performed
to determine significant differences in cell viability between conditions, significance is shown for comparison
to 0M TET + CPT condition, * p-value <0.05. N, H460 (WT p53) cells with a TET-inducible plasmid for WT
p53 (pl:WT p53) were treated with TET (0.25M or 1M) or left untreated. The cells were also treated with
CPT (2M) or equivalent amount of DMSO (0.01%) for 48 hours. Cell viability was measured at 48 hours
post-addition of CPT. A two-way ANOVA was performed to determine significant differences in cell viability
between conditions, significance is shown for comparison to 0M TET + CPT condition, ns: non-significant.
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