中心体蛋白Centlein的敲除促进细胞周期进程

中心体是大部分动物细胞的微管组织中心,它确保了有序的细胞周期进程以及染色体的精确分离,我们之前报道了中心体蛋白Centlein作为一个分子连接,与C-Nap1和Cep68一起形成复合物维持中心体的连接. 然而,关于Centlein的其他功能我们还知之甚少. 在本研究中,建立了Centlein的敲除细胞系,并且运用RNA-seq技术分析了敲除细胞系和正常野生型细胞系之间转录水平的差异. 发现Centlein敲除细胞系中细胞周期相关基因PLK1、CCNB1、CCNA2和CDC20的表达量上调,流式结果又表明Centlein的敲除促进了细胞周期进程. 同时发现Centlein与PLK1之间存在细胞内相互作用,于是我们提出了Centlein通过与PLK1的作用参与细胞周期进程.     

MicroRNA-1271 functions as a potential tumor suppressor in hepatitis B virus–associated hepatocellular carcinoma through the AMPK signaling pathway by binding to CCNA1

Hepatocellular carcinoma (HCC) is mainly associated with hepatitis B virus (HBV) infection and characterized by metastasizing and infiltrating adjacent and distant tissues. Notably, microRNA-1271 (miR-1271) is a tumor suppressor in various cancers. Therefore, we evaluate the ability of miR-1271 to influence cell proliferation, migration, invasion, and apoptosis in HBV-associated HCC through the Adenosine monophosphate–activated protein kinase (AMPK) signaling pathway via targeting CCNA1. HBV-associated HCC and adjacent normal tissues were collected to identify the expression of miR-1271 and CCNA1. To verify the relationship between miR-1271 and CCNA1, we used bioinformatics prediction and the dual-luciferase reporter gene assay. The effects of miR-1271 on HBV-associated HCC cell behaviors were investigated by treatment of the miR-1271 mimic, the miR-1271 inhibitor, or small interfering RNA against CCNA1. The HBV-DNA quantitative assay, 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromid assay, scratch test, transwell assay, and flow cytometry were used to detect HBV-DNA replication, cell proliferation, invasion, migration, and apoptosis. MiR-1271 showed a low expression, whereas CCNA1 showed a high expression in HBV-associated HCC tissues. We identified that miR-1271 targeted and negatively regulated CCNA1. Upregulated miR-1271 and downregulated CCNA1 inhibited the HBV-associated HCC cell HBV-DNA replication, proliferation, migration, and invasion, while accelerating apoptosis by activating the AMPK signaling pathway. MiR-1271 promotes the activation of the AMPK signaling pathway by binding to CCNA1, whereby miR-1271 suppresses HBV-associated HCC progression. This study points to a potential therapeutic approach of downregulation of miR-1271 in HBV-associated HCC treatment.     

Genomic Models of Metastatic Cancer: Functional Analysis of Death-from-Cancer Signature Genes Reveals Aneuploid,Anoikis-Resistant,Metastasis-Enabling Phenotype with Altered Cell Cycle Control and Activated PcG Protein Chromatin Silencing Pathway

A recent discovery of death-from-cancer signature genes identifies potential markers predicting the high likelihood of treatment failure in cancer patients. This knowledge provides the opportunity to analyze in functional terms the therapy-resistant and metastasis-enabling phenotypes of cancer cells. Here we summarize the current data regarding the biological functions of genes comprising a death-from-cancer signature. This analysis predicts that cancer cells manifesting a stem cell-like expression profile of a death-from-cancer signature would exhibit the following features: a concomitantly increased expression of certain members of inhibitor of apoptosis protein (IAP) family (Survivin and XIAP); activation of mitotic spindle check point proteins (BUB1, BUB3, KNTC2, Mad2, PLK1, PLK4, STK6/Aurora A); and elevated levels of certain cell cycle control/marker proteins (CCNB1, CCNB2, CCND1, CCNA2, CDC2, CDC25, Ki67, USP22). Consequently, these cancer cells would acquire metastasis-enabling anoikis-resistance aneuploid phenotype with aberrant cell cycle control. A functionally complementary role of multiple cooperating oncogenic pathways and the essential role of Polycomb Group (PcG) protein chromatin silencing pathway in emergence of the stem cell cancer phenotype is highlighted.     

p53-Dependent and Cell Specific Epigenetic Regulation of the Polo-like kinases under Oxidative Stress

The polo-like kinase (PLKs) family, consisting of five known members, are key regulators of important cell cycle processes, which include mitotic entry, centrosome duplication, spindle assembly, and cytokinesis. The PLKs have been implicated in a variety of cancers, such as hepatocellular carcinoma (HCC), with PLK1 typically overexpressed and PLKs 2–5 often downregulated. Altered expression of the PLKs in malignancy is often correlated with aberrant promoter methylation. Epigenetic marks are dynamic and can be modified in response to external environmental stimuli. The aim of our study was to determine if oxidative stress, a common feature of solid tumours, would induce changes to the promoter methylation of the PLKs resulting in changes in expression. We examined the promoter methylation status via MSP and subsequent expression levels of the PLK family members under exposure to hypoxic conditions or reactive oxygen species (ROS). Interestingly, murine embryonic fibroblasts exposed to hypoxia and ROS displayed significant hypermethylation of Plk1 and Plk4 promoter regions post treatment. Corresponding proteins were also depleted by 40% after treatment. We also examined the HCC-derived cell lines HepG2 and Hep3B and found that for PLK1 and PLK4, the increase in hypermethylation was correlated with the presence of functional p53. In p53 wild-type cells, HepG2, both PLK1 and PLK4 were repressed with treatment, while in the p53 null cell line, Hep3B, PLK4 protein was elevated in the presence of hypoxia and ROS. This was also the case for ROS-treated, p53 null, osteosarcoma cells, Saos-2, where the PLK4 promoter became hypomethylated and protein levels were elevated. Our data supports a model in which the PLKs are susceptible to epigenetic changes induced by microenvironmental cues and these modifications may be p53-dependent. This has important implications in HCC and other cancers, where epigenetic alterations of the PLKs could contribute to tumourigenesis and disease progression.     

Integrated network analysis and machine learning approach for the identification of key genes of triple-negative breast cancer

Triple-negative breast cancer (TNBC) has attracted more attention compared with other breast cancer subtypes due to its aggressive nature, poor prognosis, and chemotherapy remains the mainstay of treatment with no other approved targeted therapy. Therefore, the study aimed to discover more promising therapeutic targets and investigating new insights of biological mechanism of TNBC. Six microarray data sets consisting of 463 non-TNBC and 405 TNBC samples were mined from Gene Expression Omnibus. The data sets were integrated by meta-analysis and identified 1075 differentially expressed genes. Protein-protein interaction network was constructed which consists of 486 nodes and 1932 edges, where 29 hub genes were obtained with high topological measures. Further, 16 features (hub genes), 12 upregulated (AURKB, CCNB2, CDC20, DDX18, EGFR, ENO1, MYC, NUP88, PLK1, PML, POLR2F, and SKP2) and four downregulated ( CCND1, GLI3, SKP1, and TGFB3) were selected through machine learning correlation based feature selection method on training data set. A naïve Bayes based classifier built using the expression profiles of 16 features (hub genes) accurately and reliably classify TNBC from non-TNBC samples in the validation test data set with a receiver operating curve of 0.93 to 0.98. Subsequently, Gene Ontology analysis revealed that the hub genes were enriched in mitotic cell cycle processes and Kyoto Encyclopedia of Genes and Genomes pathway analysis showed that they were enriched in cell cycle pathways. Thus, the identified key hub genes and pathways highlighted in the study would enhance the understanding of molecular mechanism of TNBC which may serve as potential therapeutic target.     

An inflammation-associated ferroptosis signature optimizes the diagnosis,prognosis evaluation and immunotherapy options in hepatocellular carcinoma

Inflammation and ferroptosis crosstalk complexly with immune microenvironment of hepatocellular carcinoma (HCC), thus affecting the efficacy of immunotherapy. Herein, our aim was to identify the inflammation-associated ferroptosis (IAF) biomarkers for contributing HCC. A total of 224 intersecting DEGs identified from different inflammation- and ferroptosis-subtypes were set as IAF genes. Seven of them including ADH4, APOA5, CFHR3, CXCL8, FTCD, G6PD and PON1 were used for construction of a risk model which classified HCC patients into two groups (high and low risk). HCC patients in the high-risk group exhibited shorter survival rate and higher immune score, and were predicted to have higher respond rate in immune checkpoint inhibition (ICI) therapy. Levels of the seven genes were significantly changed in HCC tissues in comparison to adjacent tissues. After inserting the gene expression into the risk model, we found that the risk model exhibited the higher diagnostic value for distinguish HCC tissues compared each single gene. Furthermore, HCC tissues from our research group with high-risk score exhibited more cases of microsatellite instability (MSI), heavier tumour mutational burden (TMB), higher expression level of PDL1 and cells with CD8. Knockdown of APOA5 reduced HCC cell proliferation combining with elevating inflammation and ferroptosis levels. In conclusion, we considered APOA5 maybe a novel target for suppressing HCC via simultaneously elevating inflammation and ferroptosis levels, and signature constructed by seven IAF genes including ADH4, APOA5, CFHR3, CXCL8, FTCD, G6PD and PON1 can act as a biomarker for optimising the diagnosis, prognosis evaluation and immunotherapy options in HCC patients.     

Saccharomyces cerevisiae Est3p dimerizes in vitro and dimerization contributes to efficient telomere replication in vivo

In Saccharomyces cerevisiae at least five genes, EST1, EST2, EST3, TLC1 and CDC13, are required for telomerase activity in vivo. The telomerase catalytic subunit Est2p and telomerase RNA subunit Tlc1 constitute the telomerase core enzyme. Est1p and Est3p are the other subunits of telomerase holoenzyme. In order to dissect the function of Est3p in telomere replication, we over-expressed and purified recombinant wild-type and mutant Est3 proteins. The wild-type protein, as well as the K71A, E104A and T115A mutants were able to dimerize in vitro, while the Est3p-D49A, -K68A or -D166A mutant showed reduced ability to dimerize. Mutations in Est3p that decreased dimerization also appeared to cause telomere shortening in vivo. Double point mutation of Est3p-D49A-K68A and single point mutation of Est3p-K68A showed similar telomere shortening, suggesting that the K68 residue might be more important for telomerase activity. The ectopic co-expression of K71A or T115A mutant with wild-type Est3p using centromere plasmids caused telomere shortening, while co-expression of the D49A, K68A, D86A or F103A mutants with wild-type Est3p had no effect on telomere length regulation. These data suggested that dimerization is important for Est3p function in vivo.     

Reconstruction of an Integrated Genome-Scale Co-Expression Network Reveals Key Modules Involved in Lung Adenocarcinoma

Our goal of this study was to reconstruct a “genome-scale co-expression network” and find important modules in lung adenocarcinoma so that we could identify the genes involved in lung adenocarcinoma. We integrated gene mutation, GWAS, CGH, array-CGH and SNP array data in order to identify important genes and loci in genome-scale. Afterwards, on the basis of the identified genes a co-expression network was reconstructed from the co-expression data. The reconstructed network was named “genome-scale co-expression network”. As the next step, 23 key modules were disclosed through clustering. In this study a number of genes have been identified for the first time to be implicated in lung adenocarcinoma by analyzing the modules. The genes EGFR, PIK3CA, TAF15, XIAP, VAPB, Appl1, Rab5a, ARF4, CLPTM1L, SP4, ZNF124, LPP, FOXP1, SOX18, MSX2, NFE2L2, SMARCC1, TRA2B, CBX3, PRPF6, ATP6V1C1, MYBBP1A, MACF1, GRM2, TBXA2R, PRKAR2A, PTK2, PGF and MYO10 are among the genes that belong to modules 1 and 22. All these genes, being implicated in at least one of the phenomena, namely cell survival, proliferation and metastasis, have an over-expression pattern similar to that of EGFR. In few modules, the genes such as CCNA2 (Cyclin A2), CCNB2 (Cyclin B2), CDK1, CDK5, CDC27, CDCA5, CDCA8, ASPM, BUB1, KIF15, KIF2C, NEK2, NUSAP1, PRC1, SMC4, SYCE2, TFDP1, CDC42 and ARHGEF9 are present that play a crucial role in cell cycle progression. In addition to the mentioned genes, there are some other genes (i.e. DLGAP5, BIRC5, PSMD2, Src, TTK, SENP2, PSMD2, DOK2, FUS and etc.) in the modules.     

Downregulation of polo-like kinase 4 in hepatocellular carcinoma associates with poor prognosis

Polo-like kinase 4 (PLK4), belonging to serine/threonine kinase family, is critical for centriole replication and cell cycle progression. PLK4 has been proposed as a tumor suppressor in hepatocellular carcinoma (HCC). However, its expression and significance in HCC have not been well studied. In the present study, we found that PLK4 was markedly downregulated in both HCC cell lines and fresh cancer tissues, using quantitative real-time-PCR and western blot. Immunohistochemistry data also revealed that decreased expression of PLK4 was present in 72.4% (178/246) of HCC tissues, compared with the corresponding adjacent nontumorous tissues. Furthermore, PLK4 expression significantly correlated with clinicopathological parameters, including clinical stage (P=0.034), serum α-fetoprotein (AFP) (P=0.019) and tumor size (P=0.032). Moreover, HCC patients with low PLK4 expression survived shorter than those with high PLK4 expression, as indicated by overall survival (P=0.002) and disease-free survival (P=0.012) assessed by the Kaplan-Meier method. In addition, multivariate analysis suggested PLK4 as an independent predictor of overall survival (HR, 0.556; 95%CI, 0.376-0.822; P=0.003) and disease-free survival (HR, 0.547; 95%CI, 0.382-0.783; P=0.001). Collectively, our study demonstrated that PLK4 was remarkably downregulated in HCC and could be served as a potential prognostic marker for patients with this deadly disease.     

Identification of Cdc45p,an essential factor required for DNA replication

CDC45 is an essential gene required for initiation of DNA replication in the budding yeast Saccharomyces cerevisiae. CDC45 interacts genetically with CDC46 and CDC47, both members of the MCM family of genes which have been implicated in the licensing of DNA replication. In this report, the isolation of CDC45 is described. The complementing gene is linked to an essential open reading frame on chromosome XII. CDC45 was found to be cell cycle regulated and steady-state mRNA levels are G1/S-specific. CDC45 encodes a protein structurally related to Tsd2p, a protein required for DNA replication in Ustilago maydis. CDC45 also interacts genetically with ORC2, the gene encoding the second subunit of the origin recognition complex, ORC, and MCM3, another member of the MCM family. The cdc45-1 mutant has a plasmid maintenance defect which is rescued by the addition of multiple potential origins to the plasmid.     

Effect of bone marrow–derived mesenchymal stromal cells on hepatoma

Background aimsThe aim of the study was to evaluate the effect of mesenchymal stromal cells (MSCs) on tumor cell growth in vitro and in vivo and to elucidate the apoptotic and anti-proliferative mechanisms of MSCs on a hepatocellular carcinoma (HCC) murine model.MethodsThe growth-inhibitory effect of MSCs on the Hepa 1–6 cell line was tested by means of methyl thiazolyl diphenyl-tetrazolium assay. Eighty female mice were randomized into four groups: group 1 consisted of 20 mice that received MSCs only by intrahepatic injection; group 2 consisted of 20 HCC mice induced by inoculation of Hepa 1–6 cells into livers without MSC treatment; group 3 consisted of 20 mice that received MSCs after induction of liver cancer; group 4 consisted of 20 mice that received MSCs after induction of liver cancer on top of induced biliary cirrhosis.ResultsMSCs exhibited a growth-inhibitory effect on Hepa 1–6 murine cell line in vitro. Concerning in vivo study, decreases of serum alanine transaminase, aspartate transaminase and albumin levels after MSC transplantation in groups 2 and 3 were found. Gene expression of α-fetoprotein was significantly downregulated after MSC injection in the HCC groups. We found that gene expression of caspase 3, P21 and P53 was significantly upregulated, whereas gene expression of Bcl-2 and survivin was downregulated in the HCC groups after MSC injection. Liver specimens of the HCC groups confirmed the presence of dysplasia. The histopathological picture was improved after administration of MSCs to groups 2 and 3.ConclusionsMSCs upregulated genes that help apoptosis and downregulated genes that reduce apoptosis. Therefore, MSCs could inhibit cell division of HCC and potentiate their death.     

Prognostic evaluation and immune infiltration analysis of five bioinformatic selected genes in hepatocellular carcinoma

Despite the development in hepatocellular carcinoma (HCC) treatment in recent years, the therapeutic outcome of HCC remains unfavourable. This study examines the prognosis of HCC from a genetic level using clinical databases and single-cell data to identify genes with a high prognostic value. Three up-regulated genes (UBE2S, PTTG1, and CDC20) and two down-regulated genes (SOCS2 and DNASE1L3) in HCC tissues were identified. Various analyses confirmed its correlation with tumour stage (p < 0.01) and patient survival time (log-rank p < 0.001). Immune analysis, single-cell analysis, and gene set enrichment analysis (GSEA) were employed to provide insight on how they affect cancer progression, and we observed a close relation between these genes and tumour immune infiltration. Eventually, we constructed a risk score system that risk score = (0.0465) × UBE2S + (0.1851) × CDC20 + (−0.0461) × DNASE1L3 + (−0.2279) × SOCS2 (5-year area under curve = 0.706). The risk score system may serve as an effective novel prognostic system for HCC patients. This study might provide novel ideas for prognostic or therapeutic biomarkers for HCC.     

Mutations in <Emphasis Type="Italic">CDC14</Emphasis> result in high sensitivity to cyclin gene dosage in <Emphasis Type="Italic">Saccharomyces cerevisiae</Emphasis>

We screened for mutations that resulted in lethality when the G1 cyclin Cln2p was overexpressed throughout the cell cycle in Saccharomyces cerevisiae. Mutations in five complementation groups were found to give this phenotype, and three of the mutated genes were identified as MEC1, NUP170, and CDC14. Mutations in CDC14 may have been recovered in the screen because Cdc14p may reduce the cyclin B (Clb)-associated Cdc28 kinase activity in late mitosis, and Cln2p may normally activate Clb-Cdc28 kinase activity by related mechanisms. In agreement with the idea that cdc14 mutations elevate Clb-Cdc28 kinase activity, deletion of the gene for the Clb-Cdc28 inhibitor Sic1 caused synthetic lethality with cdc14-1, as did the deletion of HCT1, which is required for proteolysis of Clb2p. Surprisingly, deletion of the gene for the major B-type cyclin, CLB2, also caused synthetic lethality with the cdc14-1 mutation. The clb2 cdc14 strains arrested with replicated but unseparated DNA and unseparated spindle pole bodies; this phenotype is distinct from the late mitotic arrest of the sic1::TRP1 cdc14-1 and the cdc14-1 hct1::LEU2 double mutants and of the cdc14 CLN2 overexpressor. We found genetic interactions between CDC14 and the replication initiator gene CDC6, extending previous observations of interactions between the late mitotic function of Cdc14p and control of DNA replication. We also describe genetic interactions between CDC28 and CDC14.