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Cancer Cell International logoLink to Cancer Cell International
. 2020 May 24;20:182. doi: 10.1186/s12935-020-01266-z

Identification of lysine acetylome in cervical cancer by label-free quantitative proteomics

Lu Zhang 1,#, Wanyue Wang 2,#, Shanqiang Zhang 3,#, Yuxin Wang 1, Weikang Guo 1, Yunduo Liu 1, Yaoxian Wang 1,, Yunyan Zhang 1,
PMCID: PMC7247262  PMID: 32489318

Abstract

Background

Lysine acetylation is a post-translational modification that regulates a diversity of biological processes, including cancer development.

Methods

Here, we performed the quantitative acetylproteomic analysis of three primary cervical cancer tissues and corresponding adjacent normal tissues by using the label-free proteomics approach.

Results

We identified a total of 928 lysine acetylation sites from 1547 proteins, in which 495 lysine acetylation sites corresponding to 296 proteins were quantified. Further, 41 differentially expressed lysine acetylation sites corresponding to 30 proteins were obtained in cervical cancer tissues compared with adjacent normal tissues (Fold change > 2 and P < 0.05), of which 1 was downregulated, 40 were upregulated. Moreover, 75 lysine acetylation sites corresponding to 58 proteins were specifically detected in cancer tissues or normal adjacent tissues. Motif-X analysis showed that kxxxkxxxk, GkL, AxxEk, kLxE, and kkxxxk are the most enriched motifs with over four-fold increases when compared with the background matches. KEGG analysis showed that proteins identified from differently and specifically expressed peptides may influence key pathways, such as Notch signaling pathway, viral carcinogenesis, RNA transport, and Jak-STAT, which play an important role in tumor progression. Furthermore, the acetylated levels of CREBBP and S100A9 in cervical cancer tissues were confirmed by immunoprecipitation (IP) and Western blot analysis.

Conclusions

Taken together, our data provide novel insights into the role of protein lysine acetylation in cervical carcinogenesis.

Keywords: Cervical cancer, Acetylome, Label-free, Post-translational modification

Background

Cervical cancer is the fourth most common cancer and the second most frequent cause of cancer-related death among women, with an estimated 527,000 new cases and 265,700 deaths worldwide in 2012 [1, 2]. More than 90% of cases are caused by human papillomavirus (HPV) infection [3]. Despite recent significant advances in multimodality management of cervical cancer patients, most patients with advanced cervical cancer present with or develop metastatic disease, and the outcome in these patients is still disappointing [46]. To date, the molecular mechanisms underlying cervical carcinogenesis remain poorly understood. Therefore, there is an urgent need to identify the key mediators in cervical carcinogenesis and develop novel therapeutic strategies, thereby reducing mortality caused by this malignancy.

Post-translational modifications, occurring in almost all proteins, regulate a diversity of biological processes by altering the structural, conformational and physicochemical properties of proteins [7]. Among all the amino acid residues, the acetylation of lysine residue is one of the most commonly observed protein modification. Lysine acetylation is the transfer of an acetyl moiety from acetyl-CoA to its amino groups [8]. In early studies, lysine acetylation sites are frequently located in the nucleus, such as histones and other transcription factors [9]. However, recent evidence indicates that lysine acetylation is widespread in almost every compartment of a cell, such as the cytoplasm and mitochondria, and regulates multiple metabolic processes, including citric acid cycle, glycolysis, and fatty acid metabolism [1012]. Furthermore, aberrant lysine acetylation has been implicated in tumorigenesis and may be a promising novel therapeutic target for cancer [13, 14]. In particular, aberrant lysine acetylation is also associated with cervical cancer development [15]. To the best of our knowledge, however, there are no reports on large scale analyses of aberrant lysine acetylation in cervical cancer development.

In order to explore the novel lysine acetylation proteins involved in the development of cervical cancer, the present study investigated the differential lysine acetylome profile between primary cervical cancer tissues and corresponding adjacent normal tissues by using a rigorous label-free quantitative mass spectrometry approach. Furthermore, several acetylated proteins were confirmed by immunoprecipitation (IP) and Western blot analysis.

Materials and methods

Patients and specimens

Primary cancer tissues and corresponding adjacent normal tissues were obtained from three HPV infected patients with cervical squamous cell carcinoma who underwent surgical resection at our hospital. All the cervical cancer patients were diagnosed as stage IB, with a mean age of 61.3 years (range, 59–64 years). None of the patients received radiotherapy, chemotherapy, or other medical treatments before surgery. Surgically removed tissue samples were immediately immersed in liquid nitrogen until protein extraction. Written informed consent was obtained from each patient prior to surgery, and this study was approved by the Ethics Review Board of our institute and adhered to the principles of the Declaration of Helsinki and Title 45, U.S. Code of Federal Regulations, Part 46, Protection of Human Subjects, effective December 13, 2001.

Protein extraction

The tissue samples were homogenized in guanidine lysis buffer and then subjected to ultrasound treatment. After boiled at 100 °C for 15 min, the lysis was centrifuged at 14,000g for 40 min. The supernatant was collected, and the protein concentrations were quantified by the bicinchoninic acid assay (BCA).

Protein digestion and acetyl peptide enrichment

The protein extract containing 10 mg of proteins from each sample was added with Dithiothreitol (DTT) was added to each protein extract (containing 10 mg proteins) to a final concentration of 10 mM. After incubation at 37 °C for 2.5 h, the mixture was alkylated with 50 mM iodoacetamide (IAA) for 30 min at room temperature in dark and diluted by adding ddH2O to urea concentration to about 1.5 M. Subsequently, the proteins were digested with trypsin at 1:50 trypsin at 37 °C for 18 h. After desalination and lyophilization, the samples were reconstituted with 1.4 mL immunoaffinity purification (IAP) buffer and incubated with anti-Ac-lysine antibody beads (PTMScan, Cell Signaling Technology, Beverly, MA, USA) at 4 °C for 1.5 h to enrich Kac peptides. Then, the beads were washed three times with IAP buffer, and the enriched peptides were eluted with 0.15% trifluoroacetic acid (TFA). Finally, the peptides were desalted with C18 STAGE Tips (Millipore, Billerica, MA, USA).

Liquid chromatography tandem mass spectrometry (LC–MS/MS) analysis

LC–MS analysis was achieved on an EASY-nLC1000 System equipped with an SC200 EASY-Column 10 cm × 150 μm column at a flow rate of 300 nL/min. The mobile phase A was 0.1% formic acid in acetonitrile (2% acetonitrile) and mobile phase B was 0.1% formic acid in acetonitrile (84% acetonitrile). The peptides were separated by the following gradient elution: 0–110 min: gradient increase from 0 to 55% for B; 110–118 min: gradient increase from 55% to 100% for B; 118–120 min: hold 100% for B. The eluted peptides were analyzed with a Q-Exactive mass spectrometer. The MS and MS/MS information were collected in the positive ion mode and acquired across the mass range of 350–1800 m/z followed by the top 20 MS/MS scans.

Bioinformatic analysis

The raw MS data were analyzed using the MaxQuant software, and the P value of each protein was analyzed by Student’s t-test using the Perseus program. The acetylated peptides with a fold-change < 0.5 or > 2 and P < 0.05 were considered differentially expressed. The Blast2Go program was used for the functional annotations of the identified proteins and the Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway enrichment analysis.

Co-immunoprecipitation (Co-IP) and immunoblotting

The proteins were extracted from cervical tissues by using RIPA lysis buffer (Beyotime Biotechnology, Shanghai, China). The supernatant was incubated with anti-MYH11 (Abcam, Cambridge, MA, USA), anti-CREBBP (Abcam), anti-RUNX1 (Proteintech, Chicago, IL, USA), and anti-S100A9 (Proteintech) antibodies. After overnight incubation, the protein-A Sepharose beads were added, pelleted by centrifugation, and boiled for 5 min. The proteins were subjected to immunoblotting with anti-acetylated-Lys antibody (Abcam). The protein bound was separated by SDS-PAGE and transferred onto PVDF membranes. The membranes were incubated with the secondary antibody and the bands were visualized using chemiluminescence.

Results

Global profiling of protein lysine acetylation cervical carcinogenesis

To investigate the regulatory role of protein lysine acetylation in cervical carcinogenesis, we performed a quantitative, MS-based acetylproteomic analysis of primary cancer tissues and corresponding adjacent normal tissues from three patients with cervical squamous cell carcinoma. After removing the redundancies, we identified a total of 928 lysine acetylation sites from 1547 proteins, in which 495 lysine acetylation sites corresponding to 296 proteins were quantified (Additional files 1, 2: Tables S1, S2).

Conserved motifs flanking the acetyl sites

To further identify the acetylation conserved motifs in cervical tissues, the amino acid sequence flanking the acetyl sites were used for Motif-X analysis. Figure 1a shows the top 10 over-represented motifs, among which kxxxkxxxk, GkL, AxxEk, kLxE, and kkxxxk are the most enriched motifs with over four-fold increases when compared with the background matches (Fig. 1b, c), suggesting that the residues including G, k, and L are favored by protein lysine acetylation. These motif models and residue preferences offer useful information for the acetyl site prediction of the unknown acetyl proteins.

Fig. 1.

Fig. 1

a Motif-X analysis of over-represented motifs around the acetyl sites of the identified cervical acetyl proteins. b The number of acetyl peptides identified in each over-represented motif. c The fold increase of the enriched motifs compared with the background matches

Differentially acetylated peptides between primary cervical cancer tissues and their corresponding adjacent normal tissues

Furthermore, we found 41 differentially expressed lysine acetylation sites corresponding to 30 proteins in cervical cancer tissues compared with adjacent normal tissues (Fold change > 2 and P < 0.05), of which 1 was downregulated, 40 were upregulated (Table 1). Moreover, 49 lysine acetylation sites corresponding to 40 proteins were specifically expressed in cancer tissues (Table 2); 26 lysine acetylation sites corresponding to 18 proteins were specifically expressed in normal adjacent tissues (Table 3). The gene ontology analysis showed proteins identified from differentially and specifically acetylated peptides were associated “metabolic process”, “cellular process” and “response to stimulus” under the category of “biological process” (Fig. 2a). In support of the “metabolic process” annotation, the “molecular function” of the proteins was mostly categorized to “catalytic activity” and “binding” (Fig. 2b). In terms of “cellular component”, the majority of the proteins are located in the cell and organelle (Fig. 2c). Moreover, bacterium response under the category of “biological process”, acid-binding under the category of “molecular function”, and nucleus under the category of “cellular component” were significantly enriched (Fig. 2d). On the basis of acetylation intensity in cervical tissues, a hierarchical clustering analysis was conducted to visualize the acetylation dynamics, revealing that cervical cancer tissues are distinctly different from their normal corresponding tissues (Fig. 3). The protein name can be got from Table 1 with the accession names.

Table 1.

List of differentially expressed acetylation sites from 3 paired samples

Protein names Protein accession Peptides
Protein S100-A9 P06702

NEK(ac)VIEHIMEDLDTNADK

TCK(ac)MSQLER

Acyl-CoA-binding protein P07108 AK(ac)WDAWNELK
Protein SON P18583 RLTDLDK(ac)AQLLEIAK
Nucleoprotein TPR P12270 NQK(ac)LTATTQK(ac)QEQIINTMTQDLR
Mastermind-like protein 1 Q92585 ALAGVVLPSQGPGGASELSSAHQLQQIAAK(ac)QK
Malate dehydrogenase Q0QF37 VSSFEEK(ac)MISDAIPELK
39S ribosomal protein L47, mitochondrial Q9HD33 VVDSMDALDK(ac)VVQER
Histone H1.3 P16402 SETAPLAPTIPAPAEK(ac)TPVK
CREB-binding protein Q92793

FVYTCNECK(ac)HHVETR

NNK(ac)K(ac)TNK(ac)NK(ac)SSISR

Histone acetyltransferase p300 Q09472 NAK(ac)KKNNKK
cDNA FLJ55438, highly similar to Splicing factor 3 subunit 1 B4E091 TDIFGVEETAIGK(ac)K
Histone cluster 1, H2bd A8K9J7

SAPAPK(ac)KGSKKAVTK

LLLPGELAK(ac)HAVSEGTK

Histone H2B type 1-B P33778 SAPAPK(ac)KGSKKAITK
Histone cluster 2, H2bf B4DR52 SAPAPK(ac)KGSKKAVTK
Histone H2B type 1-L Q99880 SAPAPK(ac)KGSKKAVTK
Dihydropyrimidine dehydrogenase [NADP(+)] Q12882 EEK(ac)CEFLPFLSPR
3-hydroxymethyl-3-methylglutaryl-Coenzyme A lyase (Hydroxymethylglutaricaciduria), isoform CRA_b B1AK13 DGLQNEK(ac)NIVSTPVK
cDNA FLJ58863, highly similar to Protein NipSnap3A B4DW81 SYYLKPSK(ac)MNEFLENFEK
Annexin Q5TZZ9 AAYLQETGKPLDETLK(ac)K
cDNA FLJ54081, highly similar to Keratin, type II cytoskeletal 5 B4E1T1

NK(ac)LAELEEALQK

LAELEEALQK(ac)AK

GELALK(ac)DAR

cDNA FLJ75211, highly similar to Homo sapiens ubiquitin specific peptidase like 1, mRNA A8K1B1 GK(ac)LK(ac)ALK
PRO1975 Q9UHS8 NCIHTDDDEK(ac)ISYR
ATP synthase subunit beta V9HW31 VLDSGAPIK(ac)IPVGPETLGR
ATP synthase subunit O, mitochondrial P48047 QNK(ac)LEQVEK
NAD kinase J3KSP9 MRDASLLQPFK(ac)ELCTHLMEK(ac)SRR
NUMA1 protein Q3SYK8 CLEEK(ac)NEILQGK
Heterogeneous nuclear ribonucleoprotein U (Scaffold attachment factor A), isoform CRA_a Q7Z4Q5 APQCLGK(ac)FIEIAAR
Fatty acid synthase A0A0U1RQF0 DIMLATGK(ac)LSPDAIPGK
Chloride intracellular channel protein Q5SRT3 NSNPALNDNLEK(ac)GLLK
Prelamin-A/C P02545 ASSHSSQTQGGGSVTK(ac)K

1. Acetylated lysine is marked with ‘‘ac’’

2. Lysine acetylation of P02545 is downregulated, others are upregulated in tumor tissues compared with adjacent normal tissues

Table 2.

List of specifically expressed acetylation sites in tumor samples

Protein names Protein accession Peptides
Serine arginine-rich pre-mRNA splicing factor SR-A1, isoform CRA_a A0A024QZH6 TK(ac)VK(ac)AK(ac)AGAK(ac)K
Scavenger receptor class B member 1 F5H5E8 GCSAK(ac)AR
cDNA FLJ58633, highly similar to Leucine-rich repeat-containing protein 27 B4DW88 PSKEK(ac)SPQASK
Perilipin-3 K7ER39 TVCDAAEK(ac)GVR
ATP synthase F(0) complex subunit B1, mitochondrial Q5QNZ2 EQEHMINWVEK(ac)HVVQSISTQQEK
cDNA FLJ75700, highly similar to Homo sapiens complement component 1, q subcomponent binding protein (C1QBP), nuclear gene encoding mitochondrial protein, mRNA A8K651 AFVDFLSDEIK(ac)EER
Runt-related transcription factor 1 C9JWM1

FTPPSTALSPGK(1)MSEALPLGAPDAGAALAGK(ac)LR

MSEALPLGAPDAGAALAGK(ac)LR

Fibronectin type III domain-containing protein 1 J3KNQ2 ILANGGAPRK(ac)PQLR
Protein S100-A9 P06702 ENK(ac)NEKVIEHIMEDLDTNADK
Non-histone chromosomal protein HMG-14 A6NL93 TEESPASDEAGEK(ac)EAK
Small ubiquitin-related modifier 1 B8ZZJ0 SDQEAKPSTEDLGDK(ac)K
cDNA FLJ45654 fis, clone CTONG2012123, moderately similar to Mus musculus enabled homolog (Drosophila) (Enah) Q6ZSB8 IAEK(ac)GSTIETEQK
RNA polymerase II subunit A C-terminal domain phosphatase A0A0J9YWJ4 IYDSNTGK(ac)LIR
cDNA FLJ45012 fis, clone BRAWH3013264, highly similar to Homo sapiens SNF2 histone linker PHD RING helicase (SHPRH), mRNA B3KX98 EAVK(ac)NLEGPPSR
Epididymis secretory sperm binding protein A0A0S2Z4C3 AIEMLGGELGSK(ac)IPVHPNDHVNK
Centrosomal protein of 70 kDa C9J0F4 FPVAPK(ac)PQDSSQPSDR
3-hydroxyisobutyryl-CoA hydrolase, mitochondrial A0A140VJL0 AVLIDK(ac)DQSPK
Proteasome subunit alpha type Q6IB71 LVLSK(ac)LYEEGSNKR
Golgin subfamily A member 8H P0CJ92 EAMSSFMDHLEEKADLSELVK(ac)K(ac)K
Signal transducing adapter molecule 1 A6NMU3 TEK(ac)K(ac)TVQF
Protein HIRA B4DSW6 ATYIGPSTVFGSSGK(ac)LANVEQWR
cDNA FLJ77442, highly similar to Homo sapiens grainyhead-like 2 (Drosophila), mRNA A8K9Y8 GQASQTQCNSSSDGK(ac)LAAIPLQK
Histone H3 B4E380 K(ac)SAPSTGGVK(ac)KPHR
cDNA FLJ50838, highly similar to Apoptotic chromatin condensation inducer in thenucleus B4DQZ7 QQQEK(ac)EMK
cDNA FLJ53691, highly similar to Serotransferrin B4E1B2 YLGEEYVK(ac)AVGNLR
Treacle protein (Fragment) J3KQ96 SLGNILQAKPTSSPAK(ac)GPPQK
Protein NipSnap homolog 3B F2Z3L7 IDK(ac)QETEITYLIPWSK
Tetratricopeptide repeat protein 22 H0Y486 QVLK(ac)SEDPR
Nuclear pore complex protein Nup93 H3BVE2 SDTK(ac)PIINK
Protein S100-A8 P05109 ALNSIIDVYHK(ac)YSLIK
Cytochrome P450 1A2 Q6NWU3 PLSEK(ac)MMLFGMGK
Serpin B3 P29508 INSWVESQTNEK(ac)IK
Cell growth-inhibiting protein 34 Q08ES8 AEEILEK(ac)GLK
Elongation factor 1-alpha Q6IPT9 DGNASGTTLLEALDCILPPTRPTDK(ac)PLR
Histone acetyltransferase p300 Q09472

VVQHTK(ac)GCK(ac)R

EESTAASETTEGSQGDSK(ac)NAKKK

PEST proteolytic signal-containing nuclear protein Q8WW12 SAEEEAADLPTK(ac)PTK
CREB-binding protein Q92793 EESTAASETTEGSQGDSK(ac)NAKKK
Protein S100-A16 Q96FQ6

AADK(ac)LIQNLDANHDGR

K(ac)AADKLIQNLDANHDGR

MRG/MORF4L-binding protein Q9NV56 VTDK(ac)VLTANSNPSSPSAAK
Histone-lysine N-methyltransferase 2B Q9UMN6 SPPAPPPYK(ac)APR

Acetylated lysine is marked with ‘‘ac’’

Table 3.

List of specifically expressed acetylation sites in adjacent samples

Protein names Protein accession Peptides
Myosin, heavy polypeptide 11, smooth muscle, isoform CRA_b A0A024QZJ6

K(ac)K(ac)LQDFASTVEALEEGK

KLQAQMK(ac)DFQR

SFVEK(ac)LCTEQGSHPK

Apolipoprotein A-I, isoform CRA_a A0A024R3E3 LEALK(ac)ENGGAR
Beta I spectrin form betaI sigma3 Q8WX82

NIK(ac)QLASR

TQLVDTADK(ac)FR

Ribosomal protein A0A024RCW3 DIEALKKLNKNK(ac)K
Testicular tissue protein Li 70 A0A140VJJ6

TSEVK(ac)QLIK

TSTADYAMFK(ac)VGPEADKYR

Interleukin-33 A0A1I9RI50 ISTAK(ac)WK
Desmin, isoform CRA_a Q53SB5 FANYIEK(ac)VR
ZNF483 protein Q6P088 K(ac)LEPFQK
cDNA FLJ77679, highly similar to Homo sapiens potassium voltage-gated channel, shaker-related subfamily, beta member 2 (KCNAB2), transcript variant 1, mRNA A8K1X9 AEVVLGNNIK(ac)K(ac)K(ac)GWR
cDNA, FLJ95005, highly similar to Homo sapiens kinesin family member 11 (KIF11), mRNA B2RAM6 MASQPNSSAKKKEEK(ac)GK
Actin, alpha 2, smooth muscle, aorta D2JYH4 EITALAPSTMK(ac)IK
Histone H2B I6L9F7 PEPVK(ac)SAPVPK
Alternative protein GATAD2A L8ECH2 MMELK(ac)VNR
Fibrinogen alpha chain P02671 SRIEVLK(ac)R
Fructose-bisphosphate aldolase V9HWN7 ALSDHHIYLEGTLLK(ac)PNMVTPGHACTQK
Galectin-10 Q05315 DISLTK(ac)FNVSYLK
Uncharacterized protein DKFZp686H1812 Q5HYE3 VLEQGLEK(ac)CTQATR
cDNA FLJ26541 fis, clone KDN09394 Q6ZP39 MQIK(ac)TTLRYHLTPVK(ac)MALIQK

Acetylated lysine is marked with ‘‘ac’’

Fig. 2.

Fig. 2

GO analysis of proteins from differentially and specifically acetylated peptides in terms of biological process a; molecular function b; cellular competent c. d The top 20 enriched GO terms of proteins

Fig. 3.

Fig. 3

Acetylation quantification heatmap of proteins from differentially acetylated peptides in cervical cancer tissues and corresponding adjacent normal tissues

Kyoto encyclopedia of genes and genomes (KEGG) pathway enrichment analysis and protein–protein interaction (PPI) analysis of the proteins corresponding to differentially acetylated peptides

Moreover, KEGG analysis was carried out to assess the potential roles of proteins from differentially and specifically acetylated peptides in cervical carcinogenesis. The result showed that ten pathways, such as Notch signaling pathway, viral carcinogenesis, RNA transport, and Jak-STAT signaling pathway were predominantly over-represented (Fig. 4a; P < 0.05). The number of proteins fallen into the KEGG pathways is shown in Fig. 4b. To investigate how these proteins are functionally associated with each other, PPI analysis was conducted by using the String 10.0 and visualized by Cytoscape. The results showed that 52 nodes (proteins) and 98 edges (interaction-ship) were observed, indicating a highly profound network of the acetyl-proteins in cervical carcinogenesis (Fig. 5; Additional file 3: Table S3). Additionally, several differentially acetylated proteins were validated by IP and Western blot analysis. As illustrated in Fig. 6, consistent with the acetylome results, CREBBP and S100A9 were up-acetylated in cervical cancer tissues compared with adjacent normal tissues. However, the acetylated levels of MYH11 and RUNX1 were not significantly altered.

Fig. 4.

Fig. 4

The enriched KEGG pathways of proteins from differentially and specifically acetylated peptides in the sequence of P-value a and protein numbers b

Fig. 5.

Fig. 5

Protein–protein interaction (PPI) networks of proteins from differentially and specifically acetylated peptides identified in the cervical tissues

Fig. 6.

Fig. 6

The acetylated levels CREBBP, S100A9, MYH11 and RUNX1 were detected by immunoprecipitation and Western blot analysis. The total proteins were immunoprecipitated by the corresponding antibody and then subjected to immunoblotting with the anti-acetylated-Lys antibody. N, normal; C, cancer

Discussion

Recently, increasing evidence indicates that post-translational modifications, including lysine acetylation, play essential regulatory roles in multiple biological processes. Several acetylome analyses have been performed to understand the function of acetylation proteins in different human cancers [1618]. To the best of our knowledge, there are no reports on large scale analyses of aberrant lysine acetylation in cervical cancer development. Herein, we report the first quantitative profiling of lysine acetylation in cervical tissues. As a result, we identified a total of 928 lysine acetylation sites from 1547 protein, in which 495 lysine acetylation sites were quantified. Further, 41 lysine acetylation sites were differentially expressed in cervical cancer tissues compared with adjacent normal tissues, 75 lysine acetylation sites were specifically expressed in cancer tissues or normal tissues.

Acetylation is the most common post-translational modifications of histones and is regulated by histone acetylation and deacetylation [19]. Previous studies have shown that overexpression of histone deacetylases (HDACs) is associated with tumorigenesis, and the inhibition of HDACs prevents proliferation and leads to apoptosis in many cancer cells [20, 21]. HDACs are believed to be potential novel therapeutic targets for human cancer [22]. In the current study, we consistently found several histones are up-acetylated in cervical cancer tissues compared with adjacent normal tissues, including histone 2B and histone 3. Our results further support the notion that histone acetylation plays crucial roles in cervical carcinogenesis.

CREB-binding protein (CREBBP), a transcriptional co-activator, functions as histone acetyltransferases and involved in various biological processes, including embryonic development, homeostasis and cell growth [2325]. CREBBP has also been shown to mediate the acetylation of both histone and non-histone proteins and thereby contribute to gene transactivation or repression [2628]. Because of the sequence similarity with protein p300, CREBBP interacts with p300 and transcriptionally co-activates a variety of different transcriptional factors [2931]. Furthermore, the inhibition of histone acetyltransferase activity of CREBBP and/or p300 has been reported to inhibit cancer cell growth in vitro and in vivo in many human cancers [3234]. In support to the previous findings, the present study found that both CREBBP and p300 were up-acetylated in cervical cancer tissues compared with adjacent normal tissues, suggesting a potential role of CREBBP/p300 in cervical carcinogenesis. However, further studies are required to elucidate mechanisms by which CREBBP/p300 contributes to cervical carcinogenesis.

HPV is the leading risk factor for cervical cancer, and HPV infection has been shown to cause aberrant acetylation. For instance, Jansma and colleagues have documented that the oncoprotein E7 from human HPV strains mediates the interactions between CBP/p300 and pRb and promotes pRb acetylation, leading to disruption of cell cycle control [29]. In this study, the three patients were HPV infected, and we found that viral carcinogenesis was predominantly over-represented in KEGG analysis. More importantly, our acetylome analysis and IP experiments demonstrated that CREBBP and p300 were up-acetylated in cervical cancer tissues compared with adjacent normal tissues. It seems reasonable to propose that HPV infection changes acetylation levels of many proteins in cervical cancer and contributes to cervical carcinogenesis.

Conclusions

our data not only enhance our understanding of acetylproteome dataset in cervical cancer tissues but also provide novel insights into the role of protein lysine acetylation in cervical carcinogenesis.

Supplementary information

12935_2020_1266_MOESM1_ESM.xlsx (187.4KB, xlsx)

Additional file 1: Table S1. A total of 928 lysine acetylation sites were identified by label-free quantitative proteomics.

12935_2020_1266_MOESM2_ESM.xlsx (259.9KB, xlsx)

Additional file 2: Table S2. A total of 1547 proteins were identified by label-free quantitative proteomics

12935_2020_1266_MOESM3_ESM.xlsx (24.4KB, xlsx)

Additional file 3: Table S3. Protein–protein interaction (PPI) networks of proteins identified from differential peptides in the cervical tissues.

Acknowledgements

Not applicable.

Authors’ contributions

YW and YZ designed the experiment. LZ, WW, and SZ performed the experiments. LZ, WW, SZ, YW, WG, and YL analyzed the data. LZ and YW wrote the manuscript. All authors read and approved the final manuscript.

Funding

This study was supported by grants from the Natural Science Foundation of Heilongjiang Province (No. H2017045), the National Natural Science Foundation of China (No. 81672584), the Key Project for Petrel Foundation of Harbin Medical University Cancer Hospital (No. JJZD2020-07), and Harbin Medical University Graduate Research and Practice Innovation Project (No. YJSSJCX2019-51HYD).

Availability of data and materials

The datasets supporting the conclusions of the current study are available from the corresponding author on reasonable request. Please contact corresponding author, if you want to request the dataset.

Ethics approval and consent to participate

This study was approved by the Ethics Review Board of Harbin Medical University Cancer Hospital and adhered to the principles of the Declaration of Helsinki and Title 45, U.S. Code of Federal Regulations, Part 46, Protection of Human Subjects, effective December 13, 2001.

Consent for publication

All authors approved publication of the manuscript.

Competing interests

The authors declare that they have no competing interests.

Footnotes

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Lu Zhang, Wanyue Wang and Shanqiang Zhang contributed equally to this study

Contributor Information

Yaoxian Wang, Email: wyxxs012@126.com.

Yunyan Zhang, Email: zhangyunyan_1972@163.com.

Supplementary information

Supplementary information accompanies this paper at 10.1186/s12935-020-01266-z.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

12935_2020_1266_MOESM1_ESM.xlsx (187.4KB, xlsx)

Additional file 1: Table S1. A total of 928 lysine acetylation sites were identified by label-free quantitative proteomics.

12935_2020_1266_MOESM2_ESM.xlsx (259.9KB, xlsx)

Additional file 2: Table S2. A total of 1547 proteins were identified by label-free quantitative proteomics

12935_2020_1266_MOESM3_ESM.xlsx (24.4KB, xlsx)

Additional file 3: Table S3. Protein–protein interaction (PPI) networks of proteins identified from differential peptides in the cervical tissues.

Data Availability Statement

The datasets supporting the conclusions of the current study are available from the corresponding author on reasonable request. Please contact corresponding author, if you want to request the dataset.


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