Ubiquitin-specific peptidase 5 and ovarian tumor deubiquitinase 6A are differentially expressed in p53+/+ and p53-/- HCT116 cells
- Authors:
- Published online on: March 5, 2018 https://doi.org/10.3892/ijo.2018.4302
- Pages: 1705-1714
Abstract
Introduction
Ubiquitination is a post-translational modification (PTM) in which ubiquitin binds to substrate proteins. Ubiquitin is a 76 amino acid-long polypeptide protein that is covalently attached to target proteins through an isopeptide bond between the glycine at the carboxyl (C)-terminus of ubiquitin and the lysine at the amino (N)-terminus of substrate proteins (1,2). This reaction is carried out through a three-step process involving ubiquitin-activating enzymes (E1s), ubiquitin-conjugating enzymes (E2s) and ubiquitin ligases (E3s) (1–3). There ubiquitin protein comprises seven lysine residues, K6, K11, K27, K29, K33, K48 and K63, on which polyubiquitin chains may form. Polyubiquitination may regulate a number of different cellular functions, such as proteasomal degradation, mitophagy, translation, receptor, endocytosis and sorting (4–6). The K48-linked polyubiquitin chain has been previously reported to induce proteasomal degradation of target substrate, whereas the K63-linked polyubiquitin chain affects intracellular signaling, DNA repair, endosomal-lysosomal pathway and degradation of proteins by autophagy (7–9).
By contrast, deubiquitination is the process in which ubiquitins are detached from target proteins. Deubiquitinating enzymes (DUBs) remove ubiquitins from target proteins by cleaving the isopeptide bond between the ubiquitin and the protein. Approximately 100 DUB proteins are encoded in the human genome, which are classified into 2 main categories: i) Cysteine proteases, which include the ubiquitin-specific protease (USP), the ubiquitin C-terminal hydrolase (UCH), the Machado-Josephin disease protein (MJD), the ovarian tumor (OTU) and the monocyte chemotactic protein-induced protease, and permutated papain fold peptidases of dsRNA viruses and eukaryotes (PPPDE) protein families; and ii) metalloproteases, including the Jab1/Mov34/Mpr1-Pad1 N-terminal+ (JAMM) family (10). Of these, the USP protein family contains the largest number of DUBs, which have three conserved motifs, Cys-box, Asp/Asn-box and His-box, that are essential for catalysis (11,12). Members of the UCH family share close homology in their catalytic domains (13). OTU family members share homology with the OTU gene and are known to regulate crucial signaling pathways, including interferon, NF-κB p97-mediated processes and DNA damage response (14,15). Among the MJD family members, Ataxin 3 is known to regulate the retrotranslocation of endoplasmic reticulum-associated degradation substrates (16). Members of the PPPDE family are reported to regulate the cell cycle in eukaryotes (10). There are four different JAMM domains in JAMM family; of these, three have been reported to deubiquitinate their substrates, and one is related to ubiquitin-like modification of Nedd8 (17,18).
Deubiquitination serves pivotal roles in cellular homeostasis. For example, DUBs regulate DNA repair, protein degradation, apoptosis, cell cycle and immune response (19,20). The abnormal expression of DUBs may result in human diseases owing to the misregulation of homeostasis and DUBs have been targeted for treating diseases including cancer (21,22). Therefore, DUB screening may be beneficial in analyzing biological mechanisms and in establishing biomarkers for medical diagnoses.
A biomarker is a biological molecule that may be present as one of the components in the circulatory system, including whole blood, serum, plasma and secretion. As it is also detectable in specific tissues and body fluids, it may provide an indication of the biological signs of abnormal processes and diseases (23). In addition, biomarkers may be valuable tracers that indicate the status of human body, such that they may aid in determining prognosis, progression and recurrence of the diseases (23). Clinical responses to treatments and therapies may also be predicted by biomarkers (23). Thus, the discovery of new biomarkers may be important in diagnosing and predicting various human diseases, such as cancer. Multiplex polymerase chain reaction (PCR) has been used to detect the level of gene expression in biological samples (24). Multiplex PCR is able to amplify several target genes by mixing multiple primer pairs with different specificities to respective genes (24). Therefore, it is a useful tool to check the expression levels of various genes properly and efficiently (24). By using this method, gene expression levels in biological samples can be examined, which may subsequently lead to the identification of putative biomarkers. The aim of the present study was to develop a screening tool for the identification of putative biomarkers using multiplex PCR and primers for various DUB genes to detect and quantify the mRNA expression levels of multiple DUBs simultaneously. Therefore, the multiplex PCR platform for DUB screening may be an important tool for biomarker identification.
p53 is a tumor suppressor that serves an important role in biological processes; for example, during cellular stress, p53 is activated and may lead to cell cycle arrest or activate DNA repair (24); if damaged DNA is unable to be repaired, p53 induces apoptosis (25,26). In the present study, differentially expressed DUBs were identified that may be associated with the presence or absence of p53. Multiplex PCR was performed to identify DUB genes that are related to p53 signaling and the expression levels of these DUBs were examined between HCT116 p53+/+ and p53−/− cells.
USP5 was previously reported to decrease stability of p53 (27). Ubiquitinated p53 competes with free polyubiquitin for recognition by proteasomal degradation following suppression of USP5, and this competition inhibits proteasomal degradation of p53 rather than decreases p53 ubiquitination. Moreover, suppression of USP5 increases p53 and FAS levels in melanoma cells through the BRAF pathway (28). OTUD6A is a member of OTU family, which is an important regulator for cell signaling cascade (14). The OTU family categorizes as the OTUB subfamily/Otubains, the OTUD subfamily, the A20-like subfamily and the OTULIN subfamily (14). In contrast to the USP family, which has an effect on most types of ubiquitin chains, the OTU family is linkage-specific (14). However, the function of OTUD6A is unknown. Results from the present study DUB screening with multiplex PCR and subsequent protein expression analysis revealed that the expression of USP5 and OTUD6A were differentially expressed in HCT116 p53+/+ and p53−/− cells, which suggested that USP5 and OTUD6A may be associated with p53.
Materials and methods
Cell culture, transfection and small interfering (si)RNA treatment
Human colon cancer HCT116 p53+/+ and HCT116 p53−/− cells were provide by Dr Albert J. Fornace (Georgetown University, Washington, DC, USA) and were grown in RPMI-1640 medium containing 10% FBS (both from Gibco; Thermo Fisher Scientific, Inc., Waltham, MA, USA), and 1% penicillin/streptomycin (Corning Life Sciences, Tewksbury, MA, USA) at 37°C in 5% CO2 atmosphere.
Full-length p53 cDNA was subcloned into pcDNA3-HA vector from a pcDNA3-Myc-p53 vector used in our previous study (12). For transfection of pcDNA3-HA-p53 into HCT116 p53+/+ and p53−/− cells, the cells were seeded (8×105 cells/dish) in 60-mm culture dishes. Next day, pcDNA3-HA-p53 was mixed with 10 mM polyethylenimine (PEI; Polysciences, Inc., Warrington, PA, USA) and 150 mM NaCl was used, and incubated for 15 min at room temperature. The construct was transfected into both HCT116 p53+/+ and p53−/− cells at various concentrations (0, 0.8, 1.5 and 3 µg) and an empty vector (pcDNA3-HA) was used for a control. The amount of cDNA for transfection was optimized for subsequent experiments based on the expression level of HA-p53 protein following transfection with the differing amounts of cDNA aforementioned. The cells were incubated at 37°C in 5% CO2 atmosphere for 24 h and subsequently harvested for further experimentation.
For p53 knockdown, HCT116 p53+/+ cells were seeded (8×105 cells/dish) in 60-nm dishes 1 day prior to transfection. p53-targeted siRNAs (si-p53) or negative control siRNA (si-Ctrl; cat. no. SN-1001-CFG; Bioneer Corporation, Daejeon, Korea) were transfected into HCT116 p53+/+ cells using Opti-MEM and Lipofectamine® RNAiMAX (Invitrogen; Thermo Fisher Scientific, Inc.) mixture according to the manufacturer's instructions. The si-p53 sequences were: Forward 5′-CAC UAC AAC UAC AUG UGU A-3′, reverse 5′-UAC ACA UGU AGU UGU AGU G-3′. siRNAs were transfected at a concentration of 20 nM, as previously described (12); cells were incubated at 37°C in 5% CO2 atmosphere for 48 h and subsequently harvested for further experimentation.
Western blotting
Cells at 80–90% confluence in 60-mm or 100-mm culture dishes were lysed in a lysis buffer (1 M Tris-HCl, pH 7.5; 1.5 M NaCl; 100 mM EDTA; 10% glycerol and 1% Triton X-100). Following resuspension of cells with the lysis buffer, samples were incubated for 20 min on ice and centrifuged at 16,200 × g at 4°C for 20 min. The concentration of protein was determined with Bio-Rad protein assay dye reagent concentrate (Bio-Rad, Inc., Hercules, CA, USA), according to the manufacturer's instructions. A total of 30 µg of protein was loaded per lane and separated by 10% SDS-PAGE (1.5 M Tris-HCl, pH 8.8; 1 M Tris-HCl, pH 6.8; 30% acrylamide; 10% SDS; 10% ammonium persulfate and tetramethylethylenediamine) and transferred onto microporus polyvinylidene flouoride membranes (EMD Millipore, Billerica, MA, USA). Membranes were blocked with 5% skim milk in Tris-buffered saline + 0.05% Tween-20 for 30 min at room temperature and incubated at 4°C overnight with the following primary antibodies: Anti-p53 (1:1,000; cat. no. M7001; Dako; Agilent Technologies, Inc., Santa Clara, CA, USA), anti-OTUD6A (1:1,000; cat. no. 24486-1-AP), anti-USP5 (1:1,000; cat. no. 10473-1-AP) (both from ProteinTech Group, Inc., Chicago, IL, USA), anti-HA (1:1,000; cat. no. 11 666 606 001; Roche, Basel, Switzerland) or anti-β-actin (1:1,000; cat. no. sc-47778; Santa Cruz Biotechnology, Santa Cruz, CA, USA). The membranes were subsequently incubated with a horseradish peroxidase-conjugated goat anti-mouse immunoglobulin G secondary antibody (1:10,000; cat. no. 074-1806; KPL, Inc., Gaithersburg, MD, USA) or goat anti-rabbit immunoglobulin G secondary antibody (1:10,000; catalog no. GTX213110-01; GeneTex, Inc., Irvine, CA, USA). Protein bands were visualized using the Enhanced Chemiluminescence Reagent Solution (Young In Frontier, Seoul, Korea). The densities of protein bands were normalized to that of β-actin and analyzed by ImageJ (version 1.4.3.67; National Institutes of Health, Bethesda, MD, USA).
Generation of multiplex PCR and reverse transcription-quantitative PCR (RT-qPCR) primers
Primers for multiplex PCR were designed to specific regions of each of 68 DUB genes to amplify sequences ranging between 100 and 500 bp in length. A total of 10 groups of primer sets were designed (Fig. 1 and Table I). For RT-qPCR, the following gene-specific primers were used: p53, forward, 5′-CTC CTG GCC CCT GTC ATC TTC-3′ and reverse, 5′-AGC GCC TCA CAA CCT CCG TCA T-3′; USP5, forward, 5′-CGG GAC CAG GCC TTG AA-3′ and reverse, 5′-TCG TCA ATG TGA CTG AAG ATC CA-3′; OTUD6A, forward, 5′-TGG ATG ATC CGA AGA GTG AAC'-3′ and reverse, 5′-TCT TGG AAC TTC TCC AGC TCC T-3′; and GAPDH, forward, 5′-ATC CCA TCA CCA TCT TCC-3′ and reverse, 5′-CCA TCA CGC CAC AGT TTC-3′.
RNA extraction, cDNA synthesis, multiplex PCR and RT-qPCR
For RNA extraction, cells at 80–90% confluence in 100-mm dishes were lysed in a culture dish with 1 ml of TRIzol reagent (Invitrogen; Thermo Fisher Scientific, Inc.). cDNA was synthesized using ReverTra Ace qPCR Master Mix (Toyobo Life Science, Osaka, Japan) according to the manufacturer's protocol. GAPDH was used as an internal standard. For multiplex PCR, 2X Multiplex PCR Smart Mix (cat. no. SMP01-M25h; Solgent Co., Ltd., Daejeon, Korea) was used and cDNAs were amplified with the following PCR thermocycling conditions: initial denaturation at 95°C for 15 min, followed by 40 cycles of denaturation at 95°C for 20 sec, annealing at 60°C for 40 sec, extension at 72°C for 1 min, and final extension at 72°C for 3 min. GAPDH was used as a control. All PCR products were separated by 3% agarose gel electrophoresis and the gels were stained with RedSafe DNA Stain (cat. no. 21141; Chembio, Medford, NY, USA) to visualize the amplicons to confirm the amplification of specific cDNA bands of the expected sizes. mRNA expression levels were normalized to GAPDH and analyzed by ImageJ v1.4.3.6; the expression levels of DUBs in HCT116 p53+/+ cells were considered as the standard or baseline level of expression. RT-qPCR was performed using a StepOne Real-Time PCR System (Thermo Fisher Scientific, Inc.) according to the manufacture's protocol, and cDNA was amplified using SYBR-Green PCR Master Mix (cat. no. 4309155; Applied Biosystems; Thermo Fisher Scientific, Inc.). Relative expression levels were normalized to GAPDH and compared using the 2−ΔΔCq method (29).
Statistical analysis
Statistical significance was analyzed by ImageJ (version 1.4.3.67) and GraphPad Prism version 5 (GraphPad Software, Inc., La Jolla, CA, USA) from at least three independent experiments using paired sample t-test. One-way analysis of variance followed by Tukey's multiple comparisons post hoc test was performed using GraphPad Prism version 5. P<0.05 was considered to indicate a statistically significant difference.
Results
DUB screening through multiplex PCR to identify p53-regulated DUBs
HCT116 p53+/+ and p53−/− cells were used to examine differential expression levels of DUBs between the two cell lines. First, the expression level of p53 protein in the HCT116 p53+/+ and p53−/− cells was confirmed (Fig. 2A). Subsequently, RNA was extracted from each cell line and cDNA was synthesized to use as templates for multiplex PCR using the DUB gene-specific DNA primer groups G1-G10. For multiplex PCR, the expression of GAPDH in the HCT116 p53+/+ and p53−/− cells was determined at least three independent times and used to normalize the gene expression data (Fig. 2B).
Following multiplex PCR, the PCR products were analyzed by agarose gel electrophoresis and densitometric analysis to compare the differential expression (Fig. 3A). The results demonstrated that USP5 (G1) and OTUD6A (G10) exhibited the most notable differential expression patterns between HCT116 p53+/+ and p53−/− cells. The results from densitometric analysis indicated that the expression of USP5 in HCT116 p53−/− cells is a 1.47-fold higher compared with USP5 expression in p53+/+cells, whereas the expression of OTUD6A in HCT116 p53+/+ cells was 20-fold higher compared with expression levels in p53−/− (Fig. 3B). These data were similar to those reported in a previous study using RNA-sequencing, in which USP5 was revealed to be highly expressed in HCT116 p53−/− (30). However, the mRNA expression levels of USP6, USP29 and USP41 in G10 were not detected. Therefore, multiplex PCR was repeated using the USP12 primers from G2 as a positive control spiked into the G10 primer set. Although the expression level of USP12 was strong, the expression of USP6, USP29 and USP41 remained undetectable (Fig. 3C). To verify the results from multiplex PCR, the mRNA expression levels of USP5 and OTUD6A were investigated by RT-qPCR. Similar to the multiplex PCR results, the expression level of USP5 in HCT116 p53−/− was 1.41-fold higher compared with expression in HCT116 p53+/+ cells, and the expression of OTUD6A in HCT p53−/− was 16.67-fold lower compared with that in HCT116 p53+/+ cells (Fig. 3D and E, respectively).
p53 may influence USP5 and OTUD6A at the protein expression level
Deubiquitination is a crucial PTM process for regulating protein stability and function (31). Although the mRNA level may not always correlate with the protein level, protein expression may be partially predicted by the mRNA level (32). Therefore, the protein expression levels of USP5 and OTUD6A were examined by western blotting using an anti-USP5 or an anti-OTUD6A antibody and lysates from p53+/+ and p53−/− HCT116 cells. The results demonstrated that, similar to mRNA expression, the level of USP5 protein expression in HCT116 p53+/+ cells was significantly lower compared with expression in HCT116 p53−/− cells (Fig. 4A and B). The protein expression level of OTUD6A in HCT116 p53+/+ was significantly higher compared with expression in HCT116 p53−/− cells (Fig. 4C and D), which was also similar to the mRNA expression levels. These results suggested that the expression of USP5 and OTUD6A may be regulated by p53 at the protein level.
To verify the data, HA-p53 overexpression vector was transfected into HCT116 p53+/+ cells at several concentrations and the protein expression levels of USP5 and OTUD6A were examined. The expression level of USP5 decreased with increasing HA-p53 concentration (Fig. 5A), whereas the expression level of OTUD6A increased with increasing HA-p53 (Fig. 5B). In addition, the effects of HA-p53 over-expression on USP5 and OTUD6A expression levels were examined in HCT116 p53−/− cells. The results demonstrated that the expression level of USP5 decreased and the expression level of OTUD6A increased with increasing HA-p53 transfection concentration (Fig. 5C and D, respectively).
p53 knockdown affects the mRNA and protein expression levels of USP5 and OTUD6A
The protein expression levels of USP5 and OTUD6A are affected by overexpression of p53, as aforementioned. Subsequently, the effects of p53 knockdown on the mRNA and protein expression levels of USP5 and OTUD6A were determined. p53+/+ HCT116 cells transfected with si-p53 exhibited decreased p53 mRNA expression (Fig. 6A); USP5 mRNA expression was increased and OTUD6A expression was decreased following p53 knockdown (Fig. 6B and C, respectively). Similarly, p53 knockdown resulted in increased USP5 and decreased OTUD6A protein expression levels (Fig. 6D and E, respectively). Cellular stress such as UV exposure induces p53 activation that regulates cell cycle, DNA repair, and apoptosis (33). Therefore, the transcription levels of USP5 and OTUD6A, which are affected by the presence of p53 after UV exposure, were examined. As expected, p53 activation led to the downregulation of USP5 and upregulation of OTUD6A (data not shown).
Discussion
In eukaryotic cells, most proteins are regulated by ubiquitination, an enzymatic process controlled by E1, E2 and E3 (34). DUBs reverse ubiquitination by cleaving the interaction between ubiquitin and substrate proteins (35). DUBs serve important roles in a number of cellular processes, including cell cycle regulation, proteasome-dependent degradation, DNA repair and homeostasis (17,36,37). Owing to diverse functions of DUBs in biological processes, dysfunction of DUBs may result in human diseases, including cancer (38).
p53 is a well studied tumor suppressor that serves a crucial role in inducing growth arrest, apoptosis and senescence, which aid in the prevention of oncogenic progression in stressed cells (25). In healthy cells, p53 has a short half-life and it is expressed at a low level. Owing to various stressors, such as DNA damage, oxidative stress and osmotic shock, activation of p53 is induced (33,39,40). Subsequently, the half-life of p53 is increased and p53 becomes a transcription regulator in damaged cells. When the cells receive low stress, p53 induces cell cycle arrest and DNA repair (41); however, when the cells experience high stress, p53 induces apoptosis and the cells are not repaired (41).
It is important to identify DUB-related diseases and the rapid screening of DUB genes is required for determining the abnormal expression of DUBs. The present study was the first, to the best of our knowledge, to develop a method for DUB screening using multiplex PCR. Multiplex PCR is able to amplify multiple DNA sequences in a single PCR experiment, offering a convenient and rapid assay to screen a set of genes simultaneously. The technique uses DUB gene-specific primers, divided into 10 groups, to easily amplify unique regions of DUBs ~100–500 bp long. Owing to the advantages listed below, DUB screening through multiplex PCR may be used as a disease diagnostic kit (42). There are several advantages of DUB multiplex PCR. First, this method is able to detect the expression levels of diverse DUBs at once. Second, it is suggested that multiplex PCR may be conducted on a number of sample types, including blood cells, various other types of cells or tissues. Third, biomarkers may be identified through DUB screening and be used in pathological research, which may aid in identifying the disease state of patients and in predicting prognosis following treatment. Furthermore, the tool may also contribute to other areas of scientific research. By identifying DUB gene expressions in specific samples, biological mechanisms and pathophysiology of certain diseases can be investigated. Conversely, there are several disadvantages of this tool. The expression levels of DUBs may be different depending on the cell and tissue type. Expression levels of some DUBs are too low to identify specific bands in the result of DUB screening. Moreover, it is not possible to analyze and compare the expression level of DUBs when they are expressed abundantly. Although the DUBs are differentially expressed between the control and experimental groups, the expression level of DUBs may be seen as similar between these two groups owing to their abundant expression levels.
In the present study, multiplex PCR was used to identify DUBs that may be related to p53, and subsequently investigated the putative effects of the presence or the absence of p53 on the expression levels of two DUBs. When p53 expression was downregulated, USP5 expression levels increased and OTUD6A expression levels decreased. These data suggested that p53 signaling may be involved in the regulation of USP5 and OTUD6A at the transcriptional and the translational levels. However, there are no p53 binding sites on USP5 and OTUD6A, which indicated that p53 does not regulate the transcription of USP5 and OTUD6A directly (43) and it is suggested that p53 may regulate the mediators that may serve a role in the expression of these DUBs.
Mutations of p53 are detected in >50% of human cancers (25); therefore, regulating the expression of p53 may be an effective strategy for treating cancers. The functions of normal p53 are important in human diseases and its stability and/or functions are modulated by diverse DUBs (21,44). USP4 deubiquitinates and negatively modulates ubiquitinated p53 (45). USP7 serves a key role in the p53 pathway by stabilizing p53 and mouse double minute 2 homolog (MDM2) (12,46,47). USP10 deubiquitinates p53 induced by E3 ubiquitin ligase MDM2 and subsequently affects p53 localization and stabilization (48). USP11 and USP24 have also been reported to influence DNA damage responses by deubiquitinating p53 protein (49). USP22 was demonstrated to affect the cell cycle and cell proliferation by controlling p53 pathway in HeLa cells (50). USP42 binds and regulates the ubiquitination level of p53 in response to stress signal at the early phase (51). OTUD5 also deubiquitinates p53, leading to stabilization of p53 in response to DNA damage (44).
DUB gene screening through the multiplex PCR may allow for easy determination of the relationship between p53 and USP5, as well as p53 and OTUD6A. Results from the present study indicated that p53 downregulates the expression of USP5 and upregulates the expression of OTUD6A. Through the present screening results, USP5 and OTUD6A were indicated to be involved in p53 signaling. Furthermore, this screening will aid in the identification of abnormal mechanisms of DUBs that may lead to a number of diseases. In addition, DUBs identified through this screening may be used as biomarkers, which are indicators of biological processes and pathogenic processes. Biomarkers indicate a change in expression or state of a protein, which may be associated with increased risk or progression of a disease, or may be used to examine the susceptibility of a disease to a certain treatment (23,52). Biomarkers have been used for diagnosing stoke, dementia and certain types of cancer (53–57). Accordingly, multiplex PCR may aid in identifying abnormal expression levels of DUBs that may indicate homeostasis disruption, and also may aid in revealing novel mechanisms. The DUB screening method developed in the present study may provide a cost-effective and powerful tool for examining various expression levels of DUBs associated with diseases or abnormal biological pathways. DUB screening may facilitate a narrowing down of candidates that may lead to abnormal mechanisms and cause diverse diseases. Based on subsequent pathophysiological research, the candidates may be quantified through qPCR. Taken together, it is suggested that DUB screening through multiplex PCR with specific primers is potentially useful.
Acknowledgments
We would like to thank previous and present members of Baek Laboratory for designing primers of DUB genes and critical comments on the manuscript.
Notes
[1] Funding
This study was supported by the National Research Foundation of Korea grant funded by the Ministry of Science, ICT and Future Planning (grant no. 2016R1A2B4008635).
[2] Availability of data and materials
Data sharing is not applicable to this article, as no data sets were generated or analyzed during the current study.
[3] Authors' contributions
SYK and SKK designed the research, performed the experiments, analyzed the data and wrote the manuscript. SYL designed the research. KHB designed the research, wrote and edited the manuscript. All four authors have read and approved for the manuscript.
[4] Ethics approval and consent to participate
Not applicable.
[5] Consent for publication
Not applicable.
[6] Competing interests
The authors declare that they have no competing interests.
References
Wang J and Maldonado MA: The ubiquitin-proteasome system and its role in inflammatory and autoimmune diseases. Cell Mol Immunol. 3:255–261. 2006.PubMed/NCBI | |
Zhang X, Berger FG, Yang J and Lu X: USP4 inhibits p53 through deubiquitinating and stabilizing ARF-BP1. EMBO J. 30:2177–2189. 2011. View Article : Google Scholar : PubMed/NCBI | |
Callis J: The ubiquitination machinery of the ubiquitin system. Arabidopsis Book. 12:e01742014. View Article : Google Scholar : PubMed/NCBI | |
Kulathu Y and Komander D: Atypical ubiquitylation - the unexplored world of polyubiquitin beyond Lys48 and Lys63 linkages. Nat Rev Mol Cell Biol. 13:508–523. 2012. View Article : Google Scholar : PubMed/NCBI | |
Husnjak K and Dikic I: Ubiquitin-binding proteins: Decoders of ubiquitin-mediated cellular functions. Annu Rev Biochem. 81:291–322. 2012. View Article : Google Scholar : PubMed/NCBI | |
Woelk T, Sigismund S, Penengo L and Polo S: The ubiquitination code: A signalling problem. Cell Div. 2:112007. View Article : Google Scholar : PubMed/NCBI | |
Tan JM, Wong ES, Kirkpatrick DS, Pletnikova O, Ko HS, Tay SP, Ho MW, Troncoso J, Gygi SP, Lee MK, et al: Lysine 63-linked ubiquitination promotes the formation and autophagic clearance of protein inclusions associated with neurodegenerative diseases. Hum Mol Genet. 17:431–439. 2008. View Article : Google Scholar | |
Nathan JA, Kim HT, Ting L, Gygi SP and Goldberg AL: Why do cellular proteins linked to K63-polyubiquitin chains not associate with proteasomes? EMBO J. 32:552–565. 2013. View Article : Google Scholar : PubMed/NCBI | |
Ikeda F and Dikic I: Atypical ubiquitin chains: new molecular signals. 'Protein Modifications: Beyond the Usual Suspects' review series. EMBO Rep. 9:536–542. 2008. View Article : Google Scholar : PubMed/NCBI | |
Iyer LM, Koonin EV and Aravind L: Novel predicted peptidases with a potential role in the ubiquitin signaling pathway. Cell Cycle. 3:1440–1450. 2004. View Article : Google Scholar : PubMed/NCBI | |
Park JJ, Lim KH and Baek KH: Annexin-1 regulated by HAUSP is essential for UV-induced damage response. Cell Death Dis. 6:e16542015. View Article : Google Scholar : PubMed/NCBI | |
Lim KH, Park JJ, Gu BH, Kim JO, Park SG and Baek KH: HAUSP-nucleolin interaction is regulated by p53-Mdm2 complex in response to DNA damage response. Sci Rep. 5:127932015. View Article : Google Scholar : PubMed/NCBI | |
Nijman SM, Luna-Vargas MP, Velds A, Brummelkamp TR, Dirac AM, Sixma TK and Bernards R: A genomic and functional inventory of deubiquitinating enzymes. Cell. 123:773–786. 2005. View Article : Google Scholar : PubMed/NCBI | |
Mevissen TE, Hospenthal MK, Geurink PP, Elliott PR, Akutsu M, Arnaudo N, Ekkebus R, Kulathu Y, Wauer T, El Oualid F, et al: OTU deubiquitinases reveal mechanisms of linkage specificity and enable ubiquitin chain restriction analysis. Cell. 154:169–184. 2013. View Article : Google Scholar : PubMed/NCBI | |
Sun XX and Dai MS: Deubiquitinating enzyme regulation of the p53 pathway: A lesson from Otub1. World J Biol Chem. 5:75–84. 2014.PubMed/NCBI | |
Zhong X and Pittman RN: Ataxin-3 binds VCP/p97 and regulates retrotranslocation of ERAD substrates. Hum Mol Genet. 15:2409–2420. 2006. View Article : Google Scholar : PubMed/NCBI | |
Guterman A and Glickman MH: Deubiquitinating enzymes are IN/(trinsic to proteasome function). Curr Protein Pept Sci. 5:201–211. 2004. View Article : Google Scholar : PubMed/NCBI | |
Cope GA, Suh GS, Aravind L, Schwarz SE, Zipursky SL, Koonin EV and Deshaies RJ: Role of predicted metalloprotease motif of Jab1/Csn5 in cleavage of Nedd8 from Cul1. Science. 298:608–611. 2002. View Article : Google Scholar : PubMed/NCBI | |
Hu HY: Editorial: Protein ubiquitination and deubiquitination. Curr Protein Pept Sci. 13:4132012. View Article : Google Scholar : PubMed/NCBI | |
Lim KH, Song MH and Baek KH: Decision for cell fate: Deubiquitinating enzymes in cell cycle checkpoint. Cell Mol Life Sci. 73:1439–1455. 2016. View Article : Google Scholar : PubMed/NCBI | |
Kwon SK, Saindane M and Baek KH: p53 stability is regulated by diverse deubiquitinating enzymes. Biochim Biophys Acta. 1868:404–411. 2017.PubMed/NCBI | |
Park CW and Ryu KY: Cellular ubiquitin pool dynamics and homeostasis. BMB Rep. 47:475–482. 2014. View Article : Google Scholar : PubMed/NCBI | |
Henry NL and Hayes DF: Cancer biomarkers. Mol Oncol. 6:140–146. 2012. View Article : Google Scholar : PubMed/NCBI | |
Edwards MC and Gibbs RA: Multiplex PCR: Advantages, development, and applications. PCR Methods Appl. 3:S65–S75. 1994. View Article : Google Scholar : PubMed/NCBI | |
Wang Z and Sun Y: Targeting p53 for novel anticancer therapy. Transl Oncol. 3:1–12. 2010. View Article : Google Scholar : PubMed/NCBI | |
Fridman JS and Lowe SW: Control of apoptosis by p53. Oncogene. 22:9030–9040. 2003. View Article : Google Scholar | |
Dayal S, Sparks A, Jacob J, Allende-Vega N, Lane DP and Saville MK: Suppression of the deubiquitinating enzyme USP5 causes the accumulation of unanchored polyubiquitin and the activation of p53. J Biol Chem. 284:5030–5041. 2009. View Article : Google Scholar : | |
Potu H, Peterson LF, Pal A, Verhaegen M, Cao J, Talpaz M and Donato NJ: Usp5 links suppression of p53 and FAS levels in melanoma to the BRAF pathway. Oncotarget. 5:5559–5569. 2014. View Article : Google Scholar : PubMed/NCBI | |
Livak KJ and Schmittgen TD: Analysis of relative gene expression data using real-time quantitative PCR and the 2(−Delta Delta C(T)) method. Methods. 25:402–408. 2001. View Article : Google Scholar | |
Marchese FP, Grossi E, Marín-Béjar O, Bharti SK, Raimondi I, González J, Martínez-Herrera DJ, Athie A, Amadoz A, Brosh RM Jr, et al: A long noncoding RNA regulates sister chromatid cohesion. Mol Cell. 63:397–407. 2016. View Article : Google Scholar : PubMed/NCBI | |
Kessler BM and Edelmann MJ: PTMs in conversation: Activity and function of deubiquitinating enzymes regulated via post-translational modifications. Cell Biochem Biophys. 60:21–38. 2011. View Article : Google Scholar : PubMed/NCBI | |
Guo Y, Xiao P, Lei S, Deng F, Xiao GG, Liu Y, Chen X, Li L, Wu S, Chen Y, et al: How is mRNA expression predictive for protein expression? A correlation study on human circulating monocytes. Acta Biochim Biophys Sin (Shanghai). 40:426–436. 2008. View Article : Google Scholar | |
Lakin ND and Jackson SP: Regulation of p53 in response to DNA damage. Oncogene. 18:7644–7655. 1999. View Article : Google Scholar | |
Amerik AY and Hochstrasser M: Mechanism and function of deubiquitinating enzymes. Biochim Biophys Acta. 1695:189–207. 2004. View Article : Google Scholar : PubMed/NCBI | |
Reyes-Turcu FE, Ventii KH and Wilkinson KD: Regulation and cellular roles of ubiquitin-specific deubiquitinating enzymes. Annu Rev Biochem. 78:363–397. 2009. View Article : Google Scholar : PubMed/NCBI | |
Song L and Rape M: Reverse the curse - the role of deubiquitination in cell cycle control. Curr Opin Cell Biol. 20:156–163. 2008. View Article : Google Scholar : PubMed/NCBI | |
Kennedy RD and D'Andrea AD: The Fanconi Anemia/BRCA pathway: New faces in the crowd. Genes Dev. 19:2925–2940. 2005. View Article : Google Scholar : PubMed/NCBI | |
Yang JM: Emerging roles of deubiquitinating enzymes in human cancer. Acta Pharmacol Sin. 28:1325–1330. 2007. View Article : Google Scholar : PubMed/NCBI | |
Han ES, Muller FL, Pérez VI, Qi W, Liang H, Xi L, Fu C, Doyle E, Hickey M, Cornell J, et al: The in vivo gene expression signature of oxidative stress. Physiol Genomics. 34:112–126. 2008. View Article : Google Scholar : PubMed/NCBI | |
Kishi H, Nakagawa K, Matsumoto M, Suga M, Ando M, Taya Y and Yamaizumi M: Osmotic shock induces G1 arrest through p53 phosphorylation at Ser33 by activated p38MAPK without phosphorylation at Ser15 and Ser20. J Biol Chem. 276:39115–39122. 2001. View Article : Google Scholar : PubMed/NCBI | |
Bieging KT, Mello SS and Attardi LD: Unravelling mechanisms of p53-mediated tumour suppression. Nat Rev Cancer. 14:359–370. 2014. View Article : Google Scholar : PubMed/NCBI | |
Pillet S, Lardeux M, Dina J, Grattard F, Verhoeven P, Le Goff J, Vabret A and Pozzetto B: Comparative evaluation of six commercialized multiplex PCR kits for the diagnosis of respiratory infections. PLoS One. 8:e721742013. View Article : Google Scholar : PubMed/NCBI | |
Kaplun A, Krull M, Lakshman K, Matys V, Lewicki B and Hogan JD: Establishing and validating regulatory regions for variant annotation and expression analysis. BMC Genomics. 17(Suppl 2): 3932016. View Article : Google Scholar : PubMed/NCBI | |
Luo J, Lu Z, Lu X, Chen L, Cao J, Zhang S, Ling Y and Zhou X: OTUD5 regulates p53 stability by deubiquitinating p53. PLoS One. 8:e776822013. View Article : Google Scholar : PubMed/NCBI | |
Li Z, Hao Q, Luo J, Xiong J, Zhang S, Wang T, Bai L, Wang W, Chen M, Wang W, et al: USP4 inhibits p53 and NF-κB through deubiquitinating and stabilizing HDAC2. Oncogene. 35:2902–2912. 2016. View Article : Google Scholar | |
Sheng Y, Saridakis V, Sarkari F, Duan S, Wu T, Arrowsmith CH and Frappier L: Molecular recognition of p53 and MDM2 by USP7/HAUSP. Nat Struct Mol Biol. 13:285–291. 2006. View Article : Google Scholar : PubMed/NCBI | |
Liu X, Yang X, Li Y, Zhao S, Li C, Ma P and Mao B: Trip12 is an E3 ubiquitin ligase for USP7/HAUSP involved in the DNA damage response. FEBS Lett. 590:4213–4222. 2016. View Article : Google Scholar : PubMed/NCBI | |
Yuan J, Luo K, Zhang L, Cheville JC and Lou Z: USP10 regulates p53 localization and stability by deubiquitinating p53. Cell. 140:384–396. 2010. View Article : Google Scholar : PubMed/NCBI | |
Zhang L, Nemzow L, Chen H, Lubin A, Rong X, Sun Z, Harris TK and Gong F: The deubiquitinating enzyme USP24 is a regulator of the UV damage response. Cell Reports. 10:140–147. 2015. View Article : Google Scholar : PubMed/NCBI | |
Liu YL, Zheng J, Tang LJ, Han W, Wang JM, Liu DW and Tian QB: The deubiquitinating enzyme activity of USP22 is necessary for regulating HeLa cell growth. Gene. 572:49–56. 2015. View Article : Google Scholar : PubMed/NCBI | |
Hock AK, Vigneron AM, Carter S, Ludwig RL and Vousden KH: Regulation of p53 stability and function by the deubiquitinating enzyme USP42. EMBO J. 30:4921–4930. 2011. View Article : Google Scholar : PubMed/NCBI | |
Pirrone V, Mell J, Janto B and Wigdahl B: Biomarkers of HIV Susceptibility and Disease Progression. EBioMedicine. 1:99–100. 2014. View Article : Google Scholar | |
Kim K and Lee JH: Risk factors and biomarkers of ischemic stroke in cancer patients. J Stroke. 16:91–96. 2014. View Article : Google Scholar : PubMed/NCBI | |
Al-Qazzaz NK, Ali SH, Ahmad SA, Chellappan K, Islam MS and Escudero J: Role of EEG as biomarker in the early detection and classification of dementia. Sci World J. 2014:9060382014. View Article : Google Scholar | |
Goossens N, Nakagawa S, Sun X and Hoshida Y: Cancer biomarker discovery and validation. Transl Cancer Res. 4:256–269. 2015.PubMed/NCBI | |
Haynes HR, Camelo-Piragua S and Kurian KM: Prognostic and predictive biomarkers in adult and pediatric gliomas: Toward personalized treatment. Front Oncol. 4:472014. View Article : Google Scholar : PubMed/NCBI | |
Nalejska E, Mączyńska E and Lewandowska MA: Prognostic and predictive biomarkers: Tools in personalized oncology. Mol Diagn Ther. 18:273–284. 2014. View Article : Google Scholar : PubMed/NCBI |