Abstract Hyperthermia has been used as an adjuvant treatment for radio- and chemotherapy for decades. In addition to its effects on perfusion and oxygenation of cancer tissues, hyperthermia can enhance the efficacy of DNA-damaging treatments such as radiotherapy and chemotherapy. Although it is believed that the adjuvant effects are based on hyperthermia-induced dysfunction of DNA repair systems, the mechanisms of these dysfunctions remain elusive. Here, we propose that elevated temperatures can induce chromatin trapping (c-trapping) of essential factors, particularly those involved in DNA repair, and thus enhance the sensitization of cancer cells to DNA-damaging therapeutics. Using mass spectrometry-based proteomics, we identified proteins that could potentially undergo c-trapping in response to hyperthermia. Functional analyses of several identified factors involved in DNA repair demonstrated that c-trapping could indeed be a mechanism of hyperthermia-induced transient deficiency of DNA repair systems. Based on our proteomics data, we showed for the first time that hyperthermia could inhibit maturation of Okazaki fragments and activate a corresponding poly(ADP-ribose) polymerase-dependent DNA damage response. Together, our data suggest that chromatin trapping of factors involved in DNA repair and replication contributes to heat-induced radio- and chemosensitization. Keywords: hyperthermia, DNA repair, DNA replication, chromatin, PARP 1. Introduction Hyperthermia is an anti-cancer treatment that involves tumor heating using an exogenous energy source. Technological advancement has widened the therapeutic window of hyperthermia to 40–45 °C [[44]1,[45]2]. Hyperthermia combined with radio- or chemotherapy improves treatment outcomes which can be explained by multiple factors [[46]3,[47]4]. One mechanism of the sensitizing effect of elevated temperature is the induction of DNA repair dysfunction. Several in vitro, in vivo, and clinical studies have demonstrated that hyperthermia can enhance the beneficial effects of DNA-targeting therapeutic strategies by altering DNA damage response (DDR) pathways [[48]5,[49]6]. However, the molecular mechanisms of this DDR-inhibiting effect of hyperthermia and the complete list of hyperthermia-affected DDR factors remain unknown. It has recently been proposed that the anticancer cytotoxicity of DNA-binding small molecules can be attributed to their chromatin destabilization properties [[50]7,[51]8]. Curaxins, some anthracyclines, and anthraquinones alter chromatin structure by destabilizing nucleosomes and inducing histone eviction from chromatin. Such chromatin destabilization can promote abnormal trapping of proteins to chromatin (c-trapping) and thus lead to the exhaustion of the functional protein pool [[52]8]. This phenomenon was first studied on curaxin-induced c-trapping of the FAcilitates Chromatin Transcription (FACT) complex [[53]9,[54]10]. In this study, we questioned whether elevated temperatures could induce c-trapping of essential factors, particularly those involved in DNA repair, and thus stimulate the sensitization of cancer cells to DNA-damaging therapeutics. Using mass spectrometry (MS)-based proteomics, we identified an extensive list of proteins that could potentially undergo c-trapping in response to hyperthermia. Functional analyses of several identified factors involved in DNA repair demonstrated that c-trapping could indeed be the mechanism of hyperthermia-induced transient inactivation of DDR pathways. In addition, we found new evidence for the devastating effect of hyperthermia on DNA replication. Based on the proteomics data obtained, we hypothesized and verified that hyperthermia inhibits maturation of Okazaki fragments and provokes corresponding poly(ADP-ribose) polymerase (PARP)-dependent DDR. Together, our data suggest that chromatin trapping of factors involved in DNA repair and replication underlies heat-induced radio- and chemosensitization. 2. Materials and Methods 2.1. Antibodies The primary antibodies used for immunofluorescence or Western blot hybridization were SUPT16H (mouse, Abnova, Taipei, Taiwan), Ku80 (mouse, Abcam, Cambridge, UK), MDC1 (mouse, Abcam), Mre11 (rabbit, Novus Biologicals, Centennial, CO, USA), 53BP1 (rabbit, Santa Cruz Biotechnology, Dallas, TX, USA), XRCC1 (rabbit, Abcam), TopBP1 (mouse, Santa Cruz Biotechnology), Lamin B1 (mouse, Abcam), histone H3 (rabbit, Abcam), PAR (rabbit, Trevigen, Gaithersburg, MD, USA). The secondary antibodies conjugated to either Alexa Fluor 488 or Alexa Fluor 594 were purchased from Invitrogen (Karlsbad, CA, USA); the horseradish peroxidase-conjugated anti-mouse and anti-rabbit IgG were purchased from GE Healthcare (Chicago, IL, USA). 2.2. Cell Culture, Drug Treatments, and Hyperthermia Human HeLa or HEK293 cells were obtained from ATCC. The cells were cultured in Dulbecco’s Modified Eagle’s Medium (DMEM; PanEco, Moscow, Russia) supplemented with 10% fetal bovine serum (FBS; GE Healthcare) at 37 °C in a humidified CO2 incubator. For hyperthermia, cells were immersed in a precision-controlled water bath at 42–45 °C (±0.05 °C) for 30 min. To induce double-stranded DNA breaks (DSBs), cells were treated with 20 µg/mL etoposide (Sigma-Aldrich, St. Louis, MO, USA) for 1 h; to induce single-stranded DNA breaks (SSBs), cells were treated with 200 µM peroxide hydrogen (Sigma-Aldrich) for 1 h; to induce replication stress, cells were treated with 10 mM hydroxyurea (Sigma-Aldrich) or with 10 µM aphidicolin (Sigma-Aldrich) for 1 h; for inhibition of lagging strand synthesis, cells were treated with 2 mM emetine (Sigma-Aldrich) for 1 h; for c-trapping induction, cells were treated with 10 µM curaxin CBL0137 (Selleckchem, Houston, TX, USA) for 1 h. To label active replication sites, cells were incubated with 10 μM 5-ethynyl-2’-deoxyuridine (EdU; Jena Biosciences, Jena, Germany) for 20 min at 37 °C. Incorporated EdU were visualized using a Click−iT EdU Imaging Kit (Invitrogen) according to the manufacturer’s instructions. 2.3. Chromatin Enriching Salt Separation and Immunoblotting HeLa cells were incubated in a lysis buffer (LB; 10 mM Hepes-NaOH (pH 7.5), 1.5 mM MgCl[2], 0.5 mM EDTA, 10 mM KCl, 0.5% NP40, phosphatase and protease inhibitors). Cells were incubated at 4 °C for 10 min and collected by centrifugation at 1000× g for 5 min. Cells were then incubated in an LB containing 100 mM NaCl. After incubation at 4 °C for 10 min, the first soluble fraction (“0.1” fraction) was separated by centrifugation at 10,000× g for 10 min. Cells were then incubated in an LB containing 400 mM NaCl. After incubation at 4 °C for 1 h, the second soluble fraction (“0.4” fraction) was separated from the chromatin fraction by centrifugation at 8000× g for 10 min. The chromatin pellet (“insoluble” fraction) was then sonicated in an LB at 1/2 amplitude for 30 s with a VirSonic 100 ultrasonic cell disrupter. Aliquots of each sample were separated by sodium dodecylsulphate-polyacrylamide gel electrophoresis (SDS-PAGE) and blotted onto polyvinylidenedifluoride (PVDF) membranes. The membranes were blocked for 1 h in 2% ECL Advance blocking reagent (GE Healthcare) or 2% bovine serum albumin (BSA) (Sigma-Aldrich) in PBS containing 0.1% Tween 20 (PBS-T) followed by incubation overnight at 4 °C with a primary antibody diluted in PBS-T containing 2% blocking reagent or 2% BSA. After three washes with PBS-T, the membranes were incubated for 1 h with the secondary antibodies (horseradish peroxidase-conjugated anti-rabbit or anti-mouse IgG) in PBS-T containing 2% blocking agent or 2% BSA. The immunoblots were visualized using a Pierce ECL plus Western blotting substrate. Images of the full-length blots are presented in [55]Figures S1 and S2. 2.4. Preparative SDS-PAGE and In-Gel Trypsin Digestion Protein concentrations were determined using BCA Protein Assay Kit (Thermo Fisher Scientific, Waltham, MA, USA) according to the manufacturer’s standard protocol (bovine serum albumin was used as the standard). Equal amounts of biological samples (250 μg each) were separated via 9% (w/v) SDS-PAGE (20 × 20 cm) to prefractionate the proteins. After electrophoresis, the gel was divided into three fractions, each fraction was subjected to in-gel protein digestion, and extracted peptide samples were analyzed via LC-MS/MS for protein identification. Gel fractions were cut into small (1 × 1 mm) pieces and transferred into sample tubes. Protein disulfide bonds were reduced with 10 mM DTT (in 100 mM ammonium bicarbonate buffer) at 50 °C for 30 min and afterward alkylated with 55 mM iodoacetamide (in 100 mM ammonium bicarbonate buffer) at room temperature for 20 min in the dark. After alkylation, the gel samples were destained with 50% acetonitrile (CAN) (in 50 mM ammonium bicarbonate buffer) and dehydrated by the addition of 100% ACN. After removal of the 100% ACN, the samples were subjected to in-gel trypsin digestion. The digestion buffer contained 13 ng/µL trypsin (in 50 mM ammonium bicarbonate buffer). The trypsin digestion proceeded overnight at 37 °C. The resulting tryptic peptides were extracted from the gel via the addition of two volumes of 0.5% trifluoroacetic acid (TFA) to the samples (incubation for 1 h) and then two volumes of 50% ACN (incubation for 1 h). Finally, the extracted peptides were dried in vacuum and redissolved in 3% ACN with 0.1% TFA solution prior to LC-MS/MS analysis. 2.5. LC-MS/MS Analysis LC-MS/MS analysis was performed using the Q Exactive HF benchtop Orbitrap mass spectrometer (Thermo Fisher Scientific) which was coupled to the Ultimate 3000 Nano LC System (Thermo Fisher Scientific) via a nanoelectrospray source (Thermo Fisher Scientific). The HPLC system was configured in a trap-elute mode. Approximately 1 µg of tryptic peptides were loaded on an Acclaim PepMap 100 (100 µm × 2 cm) trap column and separated on an Acclaim PepMap 100 (75 µm × 50 cm) column (both from Thermo Fisher Scientific). Peptides were loaded in solvent A (0.2% (v/v) formic acid) and eluted at a flow rate of 350 nL/min with a following multistep linear gradient of solvent B (0.1% (v/v) formic acid, 80% (v/v) acetonitrile): 4–6% B for 5 min; 6–28% B for 91 min; 28–45% B for 20 min; 45–99% B for 4 min; 99% B for 7 min; 99–4% B for 1 min. After each gradient, the column was washed with 96% buffer B for 9 min. Column temperature was kept at 40 °C. Peptides were analyzed on a mass-spectrometer, with one full scan (350–1400 m/z, R = 60,000 at 200 m/z) at a target of 3 × 10^6 ions and max ion fill time 30 ms, followed by up to 15 data-dependent MS/MS scans with higher-energy collisional dissociation (HCD) (target 1 × 10^5 ions, max ion fill time 50 ms, isolation window 1.2 m/z, normalized collision energy (NCE) 28%, underfill ratio 2%), detected in the Orbitrap (R = 15,000 at fixed first mass 100 m/z). Other settings: charge exclusion—unassigned, 1, >6; peptide match—preferred; exclude isotopes—on; dynamic exclusion 30 s was enabled. 2.6. LC-MS/MS Data Analysis Raw LC-MS/MS data from Q Exactive HF mass-spectrometer were converted to .mgf peaklists with MSConvert (ProteoWizard Software Foundation). For this procedure, we used the following parameters: “--mgf-filter peakPicking true”. For thorough protein identification, the generated peak lists were searched with MASCOT (version 2.5.1) and X! Tandem (ALANINE, 2017.02.01) search engines against UniProt Human protein knowledgebase with the concatenated reverse decoy dataset. The precursor and fragment mass tolerance were set at 20 ppm and 0.04 Da, respectively. Database-searching parameters included the following: tryptic digestion with one possible missed cleavage, static modification for carbamidomethyl (C), and dynamic/flexible modifications for oxidation (M). For X! Tandem we also selected parameters that allowed a quick check for protein N-terminal residue acetylation, peptide N-terminal glutamine ammonia loss, or peptide N-terminal glutamic acid water loss. Result files were submitted to Scaffold 4 software (version 4.0.7) for validation and meta-analysis. We used the local false discovery rate-scoring algorithm with standard experiment-wide protein grouping. For the evaluation of peptide and protein hits, a false discovery rate of 5% was selected for both. False positive identifications were based on reverse database analysis. We also set protein annotation preferences in Scaffold to highlight