Knockout Cells and Functional Investigation of MAGEC2 in Tumor Cells

Total Page:16

File Type:pdf, Size:1020Kb

Knockout Cells and Functional Investigation of MAGEC2 in Tumor Cells Establishment of MAGEC2-knockout cells and functional investigation of MAGEC2 in tumor cells Jingjing Wang,1 Xiao Song,1 Chengli Guo, Ying Wang and Yanhui Yin Key Laboratory of Medical Immunology, Ministry of Health, Department of Immunology, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China Key words Cancer/testis antigen MAGEC2, a member of the type I melanoma-associated anti- Bioinformatics, CRISPR-Cas systems, gene knockout gen family, is expressed in a wide variety of cancer types but not in normal techniques, MAGEC2, proteomics somatic cells. MAGEC2 has long been recognized as a tumor-specific target, how- Correspondence ever, its functions remain largely unknown. In this study, we established Yanhui Yin, Department of Immunology, Peking Univer- MAGEC2-knockout A375 melanoma cell lines using the CRISPR/Cas9 system. sity Health Science Center, No. 38 Xueyuan Road, Beijing Seven clonal cell lines were generated by using four single guide RNAs targeting 100191, China. the coding region of the MAGEC2 gene, which produced indels that abolished Tel: +86-10-82805648; Fax: +86-10-82801436; MAGEC2 protein expression. To identify the differentially expressed protein pro- E-mail: [email protected] files associated with MAGEC2 loss, isobaric tag for relative quantitation-based 1These authors contributed equally to this work. comparative proteomics experiments were carried out on the MAGEC2-knockcout and control A375 cells. Mining of the proteomics data identified a total 224 Funding Information (61.6% upregulated and 38.4% downregulated) proteins to be significantly Natural Science Foundation of Beijing Municipality, (Grant/Award Number: ‘7142087’) National Natural altered in expression level in MAGEC2-knockcout cells. Ingenuity Pathway Analy- Science Foundation of China, (Grant/Award Number: sis indicated that the significantly altered proteins were involved in critical neo- ‘81472645’). plasia-related biological functions such as cell death, proliferation, and movement. Gene ontology analysis identified “apoptosis signaling” as the top- Received May 23, 2016; Revised September 10, 2016; Accepted September 13, 2016 most upregulated pathway associated with MAGEC2 loss. We showed that knockout or knockdown of the MAGEC2 gene sensitized melanoma cells to tumor Cancer Sci 107 (2016) 1888–1897 necrosis factor-a-induced apoptosis. Interestingly, actin-based motility by Rho and RhoA signaling, known to promote cell migration, were also identified as doi: 10.1111/cas.13082 the top downregulated pathways in MAGEC2-knockout A375 cells. In short, our study provides a suitable cell model for exploring the biological functions of MAGEC2 in malignant cells, and sheds light on the molecular pathway by which MAGEC2 promotes tumor development. he type I melanoma-associated antigens (MAGE-I) are a stranded breaks.(12) Recently, we reported that MAGEC2 binds T group of well-characterized members of the cancer-testis directly to the RING domain protein Rbx1, decreases the antigen family, which are aberrantly expressed in a wide vari- degradation of cyclin E, and promotes cell cycle progression ety of tumors but absent from normal adult tissues other than in tumor cells.(13) The common strategies used in all these immunoprivileged germ-line tissues.(1) Although the cellular studies were to knock down endogenous MAGEC2 in cell and physiological functions of MAGE-I proteins in cancer lines by RNAi. A shortcoming of this approach, however, is have not been fully elucidated, recent studies have indicated that neither siRNA nor shRNA is 100% effective at eliminat- that they are associated with hallmarks of aggressive cancers. ing the expression of a target gene product. To comprehen- Cancer/testis antigen MAGEC2, a member of the MAGE-I sively understand the biological functions of MAGEC2 in protein family, is absent in normal adult somatic tissues but tumor cells, establishing cell lines that completely lack the expressed in many types of tumors.(2–6) Clinical studies indi- expression of MAGEC2 are necessary. cate that expression of MAGEC2 is a potent predictor associ- Recently, the bacterial clustered regularly interspaced short ated with sentinel lymph node metastasis in melanoma,(7) and palindromic repeats (CRISPR)-associated endonuclease 9 nuclear MAGEC2 expression in prostate cancer indicates a (CRISPR/Cas9) system has been successfully used as an easy- higher risk for biochemical recurrence after radical prostatec- to-handle, highly specific, and efficient approach for genome tomy.(8) The function of MAGEC2 in tumor cells was first editing in mammalian cells.(14,15) In this study, we applied the reported by Yang et al. in 2007.(9,10) They found that CRISPR/Cas9 system to human melanoma cell line A375 MAGEC2 promotes cell viability in both mast and melanoma which endogenously expresses MAGEC2, and successfully cell lines. Subsequent studies showed that MAGEC2 can form established MAGEC2-knockout A375 clones. To identify the complexes with RING domain protein TRIM28 and promotes differentially expressed protein profiles associated with loss of the degradation of p53 in a proteasome-dependent manner by MAGEC2 expression, isobaric tag for relative quantitation TRIM28.(11) MAGEC2 was also reported to increase phospho- (iTRAQ)(16) based comparative proteomics experiments were rylation of TRIM28 and improve DNA repair after double- carried out on the MAGEC2-knockout and control A375 cells. Cancer Sci | December 2016 | vol. 107 | no. 12 | 1888–1897 © 2016 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non- commercial and no modifications or adaptations are made. Original Article www.wileyonlinelibrary.com/journal/cas Wang et al. Analysis with bioinformatics and experimental validation MAGEC2 gene were identified by comparing with the wild- showed that MAGEC2 was involved in tumorigenesis and can- type MAGEC2 sequence. cer development. This is the first study to establish MAGEC2- Analysis of off-target cleavage. Potential off-target sites of knockout cells and thoroughly screen the altered proteins the sgRNAs were predicted using the online off-target search- related with MAGEC2 loss, which will open a new window ing tool, Cas-OFFinder (http://www.rgenome.net/cas-offin- for investigating the contributions of cancer/testis antigen der).(17) As all the gRNAs we designed have at least a three- MAGEC2 in tumorigenesis and cancer development. nucleotide mismatch with the other sequence, the regions with a three-nucleotide mismatch with the MAGEC2 gRNA that were most likely to produce off-target mutations were selected Materials and Methods and subjected to PCR and sequence analysis. The off-target Cells and reagents. Human melanoma cell line A375 were locations for each gRNA and primers to amplify these regions purchased from ATCC (Rockville, MA, USA) and maintained in are listed in Table S2. DMEM (ATCC) supplemented with 10% FBS (Invitrogen, Proteomics sample preparation. The harvested cells were Carlsbad, CA, USA), and human melanoma cell line Hs 695T lysed in 25 mM triethylammonium bicarbonate, 8 M urea, 2% cells were purchased from Cobioer Biosciences Company (Nan- Triton X-100, 0.1% SDS, 50 lg/mL DNase I, 50 lg/mL jing, China) and maintained in MEM (Gibco, Gaithersburg, MD, RNase A, and 19 protease inhibitor cocktail (Pierce, Rockford, USA) supplemented with non-essential amino acids, 1 mM IL, USA). Unsolubilized material was removed by centrifuga- sodium pyruvate, and 10% FBS (Invitrogen). MAGEC2-knock- tion at 18 800g for 1 h at 15°C and the supernatants were col- down Hs 695T cells were established by transfecting pGPU6/ lected. Protein concentrations were determined using 2-D Neo-shMAGEC2 or pGPU6/Neo-shNC vectors and selected Quan kit (GE Healthcare, Piscataway, NJ, USA). using 1.5 mg/mL G418 for 2 weeks. Target sequences are as Isobaric tag for relative quantitation labeling. The iTRAQ follows: MAGEC2 shRNA, 50-CAATTGATACCGCAGATGA- labeling was carried out using an iTRAQ Reagent 8-Plex kit 30; and control shRNA, 50-TTCTCCGAACGTGTCACGT-30. (AB Sciex, Foster City, CA, USA) based on the manufac- Recombinant human tumor necrosis factor-a (TNF-a) was pur- turer’s protocol with minor modifications. Cells lysates from chased from PeproTech (Rocky Hill, NJ, USA) and used at three pairs of MAGEC2-WT (WT1, WT2, and WT3) and 20 ng/mL, and cycloheximide (CHX) was from Sigma-Aldrich MAGEC2-Knockout (KO1, KO2, and KO3) A375 cells were (St. Louis, MO, USA) and used at 10 lg/mL. labeled with iTRAQ labeling reagent 113, 114, 115, 116, 117, MAGEC2 single guide RNA expression vector construction. The and 118, respectively. Briefly, 100 lg protein from each of the MAGEC2 guide RNAs (gRNAs) were designed using the six cell lines was reduced with 2 lL of 50 mM tris-(2-carbox- online CRISPR design tool (http://crispr.mit.edu). For effective yethyl) phosphine at 37°C for 1 h, cysteine blocked with 1 lL gene repression, the first 200 bp of the gene-coding region of of 200 mM methyl methanethiosulfonate at 37°C for 30 min, MAGEC2 were selected to be targeted and submitted to the and digested with 3 lg trypsin (Roche) at 37°C for 15 h. The website, which provided a ranked list of all possible guides in peptides were then dried and labeled with isobaric tags, and the query sequence ordered by faithfulness of on-target activity incubated at room temperature for 2 h before being combined. computed as 100% minus a weighted sum of off-target hit- High-pH reversed-phase HPLC fractionation. The combined scores in the target genome. The top six individual gRNAs, iTRAQ-labeled peptides were subjected to high-pH reversed- which had scores >80, were selected and six pairs of comple- phase separation using a Gemini C18 (4.6 9 250 mm, 5-lm mentary oligos containing these MAGEC2 guide sequences particles) column (Phenomenex, Torrance, CA, USA) on a Shi- and BbsI ligation adapters were synthesized (Table S1).
Recommended publications
  • Labinvest201436.Pdf
    472A ANNUAL MEETING ABSTRACTS in hepatic fi brosis despite reversal of hyperbilirubinemia with Omegaven©. Detailed is expensive, time-consuming and diffi cult for routine application. For these reasons, pathologic fi ndings of whole explanted native livers in children who have undergone we evaluated the potential role of immunohistochemistry (IHC) as a screening tool to a combined liver-intestine transplant on Omegaven therapy have not been reported. identify candidate cases for FISH analysis and for ALK inhibitor therapy in NSCLC. Design: Explanted whole native livers from seven patients who have received To verify the mRNA expression of EML4-ALK, we used a MassARRAY method in Omegaven© emulsion as parenteral nutrition therapy in the pretransplant period were a small subset of patients. evaluated. Histological features including degree of infl ammation, fi brosis, steatosis, Design: We performed FISH and IHC for ALK and mutational analysis for EGFR and cholestasis and portal bile duct proliferation were semiquantitatively scored according K-ras in 523 NSCLC specimens. We conducted IHC analysis with the monoclonal to established criteria. antibody D5F3 and a highly sensitive detection system. We also performed a Results: The pathological features of the seven native liver explants are summarized MassARRAY-based analysis in a small subset of 11 samples to detect EML4-ALK in the following table. rearrangement. Features Pt. 1 Pt. 2 Pt. 3 Pt. 4 Pt. 5 Pt. 6 Pt. 7 Results: Of the 523 NSCLC specimens, 20 (3.8%) were positive for ALK rearrangement Protal infl ammation(0-4) 1111121 by FISH analysis. EGFR and Kras mutations were identifi ed in 70 (13.4%) and 124 Bile Duct Proliferation(0-3) 1311131 (23.7%) out of 523 tumor samples, respectively.
    [Show full text]
  • The Inactive X Chromosome Is Epigenetically Unstable and Transcriptionally Labile in Breast Cancer
    Supplemental Information The inactive X chromosome is epigenetically unstable and transcriptionally labile in breast cancer Ronan Chaligné1,2,3,8, Tatiana Popova1,4, Marco-Antonio Mendoza-Parra5, Mohamed-Ashick M. Saleem5 , David Gentien1,6, Kristen Ban1,2,3,8, Tristan Piolot1,7, Olivier Leroy1,7, Odette Mariani6, Hinrich Gronemeyer*5, Anne Vincent-Salomon*1,4,6,8, Marc-Henri Stern*1,4,6 and Edith Heard*1,2,3,8 Extended Experimental Procedures Cell Culture Human Mammary Epithelial Cells (HMEC, Invitrogen) were grown in serum-free medium (HuMEC, Invitrogen). WI- 38, ZR-75-1, SK-BR-3 and MDA-MB-436 cells were grown in Dulbecco’s modified Eagle’s medium (DMEM; Invitrogen) containing 10% fetal bovine serum (FBS). DNA Methylation analysis. We bisulfite-treated 2 µg of genomic DNA using Epitect bisulfite kit (Qiagen). Bisulfite converted DNA was amplified with bisulfite primers listed in Table S3. All primers incorporated a T7 promoter tag, and PCR conditions are available upon request. We analyzed PCR products by MALDI-TOF mass spectrometry after in vitro transcription and specific cleavage (EpiTYPER by Sequenom®). For each amplicon, we analyzed two independent DNA samples and several CG sites in the CpG Island. Design of primers and selection of best promoter region to assess (approx. 500 bp) were done by a combination of UCSC Genome Browser (http://genome.ucsc.edu) and MethPrimer (http://www.urogene.org). All the primers used are listed (Table S3). NB: MAGEC2 CpG analysis have been done with a combination of two CpG island identified in the gene core. Analysis of RNA allelic expression profiles (based on Human SNP Array 6.0) DNA and RNA hybridizations were normalized by Genotyping console.
    [Show full text]
  • Research Article in Search of TGCT Biomarkers: a Comprehensive in Silico and Histopathological Analysis
    Hindawi Disease Markers Volume 2020, Article ID 8841880, 18 pages https://doi.org/10.1155/2020/8841880 Research Article In Search of TGCT Biomarkers: A Comprehensive In Silico and Histopathological Analysis Dora Raos ,1,2 Jure Krasic ,1,2,3 Silvija Masic ,4 Irena Abramovic ,1,2 Marijana Coric ,3,5 Bozo Kruslin ,2,3,4 Ana Katusic Bojanac ,1,3 Floriana Bulic-Jakus ,1,3 Davor Jezek ,3,6 Monika Ulamec ,2,3,4,7 and Nino Sincic 1,2,3 1Department of Medical Biology, University of Zagreb School of Medicine, Šalata 3, 10000 Zagreb, Croatia 2Scientific Group for Research on Epigenetic Biomarkers, University of Zagreb School of Medicine, Šalata 3, 10000 Zagreb, Croatia 3Scientific Centre of Excellence for Reproductive and Regenerative Medicine, University of Zagreb School of Medicine, Šalata 3, 10000 Zagreb, Croatia 4Ljudevit Jurak Clinical Department of Pathology and Cytology, Sestre Milosrdnice University Hospital Center, Vinogradska Cesta 29, 10000 Zagreb, Croatia 5Department of Pathology and Cytology, University Hospital Centre Zagreb, Kišpatićeva Ulica 12, 10000 Zagreb, Croatia 6Department of Histology and Embryology, University of Zagreb School of Medicine, Šalata 3, 10000 Zagreb, Croatia 7Department of Pathology, University of Zagreb School of Dental Medicine and School of Medicine, Gundulićeva Ulica 5, 10000 Zagreb, Croatia Correspondence should be addressed to Nino Sincic; [email protected] Received 21 April 2020; Revised 10 July 2020; Accepted 31 July 2020; Published 6 November 2020 Academic Editor: Kishore Chaudhry Copyright © 2020 Dora Raos et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    [Show full text]
  • Frequent MAGE Mutations in Human Melanoma
    Frequent MAGE Mutations in Human Melanoma Otavia L. Caballero1*.¤, Qi Zhao2., Donata Rimoldi3, Brian J. Stevenson3, Suzanne Svobodova´ 4, Sylvie Devalle1, Ute F. Ro¨ hrig3, Anna Pagotto5, Olivier Michielin3, Daniel Speiser3, Jedd D. Wolchok1,6, Cailian Liu6, Tanja Pejovic7, Kunle Odunsi8, Francis Brasseur9, Benoit J. Van den Eynde9, Lloyd J. Old1, Xin Lu5, Jonathan Cebon4, Robert L. Strausberg10, Andrew J. Simpson10 1 Ludwig Institute for Cancer Research Ltd, New York Branch at Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America, 2 J. Craig Venter Institute, Rockville, Maryland, United States of America, 3 Ludwig Institute for Cancer Research Ltd, Lausanne Branch, Lausanne, Switzerland, 4 Ludwig Institute for Cancer Research Ltd, Melbourne Centre for Clinical Sciences, Austin Health, Heidelberg, Victoria, Australia, 5 Nuffield Department of Clinical Medicine, University of Oxford, Ludwig Institute for Cancer Research Ltd, Oxford Branch, Headington, Oxford, United Kingdom, 6 Department of Medicine and Ludwig Center for Cancer Immunotherapy, Memorial Sloan-Kettering Cancer Center, New York, New York, United States of America, 7 Division of Gynecologic Oncology and the Knight Cancer Institute, Oregon Health & Science University, Portland, Oregon, United States of America, 8 Department of Gynecological Oncology and Center for Immunotherapy, Roswell Park Cancer Institute, Buffalo, New York, United States of America, 9 Ludwig Institute for Cancer Research Ltd, Brussels Branch, Universite´ catholique de Louvain, Brussels, Belgium, 10 Ludwig Institute for Cancer Research Ltd, New York, New York, United States of America Abstract Background: Cancer/testis (CT) genes are expressed only in the germ line and certain tumors and are most frequently located on the X-chromosome (the CT-X genes).
    [Show full text]
  • Genome-Wide Analysis of Cancer/Testis Gene Expression
    Genome-wide analysis of cancer/testis gene expression Oliver Hofmanna,b,1, Otavia L. Caballeroc, Brian J. Stevensond,e, Yao-Tseng Chenf, Tzeela Cohenc, Ramon Chuac, Christopher A. Maherb, Sumir Panjib, Ulf Schaeferb, Adele Krugerb, Minna Lehvaslaihob, Piero Carnincig,h, Yoshihide Hayashizakig,h, C. Victor Jongeneeld,e, Andrew J. G. Simpsonc, Lloyd J. Oldc,1, and Winston Hidea,b aDepartment of Biostatistics, Harvard School of Public Health, 655 Huntington Avenue, SPH2, 4th Floor, Boston, MA 02115; bSouth African National Bioinformatics Institute, University of the Western Cape, Private Bag X17, Bellville 7535, South Africa; cLudwig Institute for Cancer Research, New York Branch at Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021; dLudwig Institute for Cancer Research, Lausanne Branch, 1015 Lausanne, Switzerland; eSwiss Institute of Bioinformatics, 1015 Lausanne, Switzerland; fWeill Medical College of Cornell University, 1300 York Avenue, New York, NY 10021; gGenome Exploration Research Group (Genome Network Project Core Group), RIKEN Genomic Sciences Center (GSC), RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan; and hGenome Science Laboratory, Discovery Research Institute, RIKEN Wako Institute, 2-1 Hirosawa, Wako, Saitama, 3510198, Japan Contributed by Lloyd J. Old, October 28, 2008 (sent for review June 6, 2008) Cancer/Testis (CT) genes, normally expressed in germ line cells but expression profile information frequently limited to the original also activated in a wide range of cancer types, often encode defining articles. In some cases, e.g., ACRBP, the original antigens that are immunogenic in cancer patients, and present CT-restricted expression in normal tissues could not be con- potential for use as biomarkers and targets for immunotherapy.
    [Show full text]
  • Characterization of X-Linked SNP Genotypic Variation in Globally Distributed Human Populations Genome Biology 2010, 11:R10
    Casto et al. Genome Biology 2010, 11:R10 http://genomebiology.com/2010/11/1/R10 RESEARCH Open Access CharacterizationResearch of X-Linked SNP genotypic variation in globally distributed human populations Amanda M Casto*1, Jun Z Li2, Devin Absher3, Richard Myers3, Sohini Ramachandran4 and Marcus W Feldman5 HumanAnhumanulation analysis structurepopulationsX-linked of X-linked variationand provides de geneticmographic insights variation patterns. into in pop- Abstract Background: The transmission pattern of the human X chromosome reduces its population size relative to the autosomes, subjects it to disproportionate influence by female demography, and leaves X-linked mutations exposed to selection in males. As a result, the analysis of X-linked genomic variation can provide insights into the influence of demography and selection on the human genome. Here we characterize the genomic variation represented by 16,297 X-linked SNPs genotyped in the CEPH human genome diversity project samples. Results: We found that X chromosomes tend to be more differentiated between human populations than autosomes, with several notable exceptions. Comparisons between genetically distant populations also showed an excess of X- linked SNPs with large allele frequency differences. Combining information about these SNPs with results from tests designed to detect selective sweeps, we identified two regions that were clear outliers from the rest of the X chromosome for haplotype structure and allele frequency distribution. We were also able to more precisely define the geographical extent of some previously described X-linked selective sweeps. Conclusions: The relationship between male and female demographic histories is likely to be complex as evidence supporting different conclusions can be found in the same dataset.
    [Show full text]
  • Network-Based Analysis of Key Regulatory Genes Implicated in Type
    www.nature.com/scientificreports OPEN Network‑based analysis of key regulatory genes implicated in Type 2 Diabetes Mellitus and Recurrent Miscarriages in Turner Syndrome Anam Farooqui1, Alaa Alhazmi2, Shaful Haque3, Naaila Tamkeen4, Mahboubeh Mehmankhah1, Safa Tazyeen1, Sher Ali5 & Romana Ishrat1* The information on the genotype–phenotype relationship in Turner Syndrome (TS) is inadequate because very few specifc candidate genes are linked to its clinical features. We used the microarray data of TS to identify the key regulatory genes implicated with TS through a network approach. The causative factors of two common co‑morbidities, Type 2 Diabetes Mellitus (T2DM) and Recurrent Miscarriages (RM), in the Turner population, are expected to be diferent from that of the general population. Through microarray analysis, we identifed nine signature genes of T2DM and three signature genes of RM in TS. The power‑law distribution analysis showed that the TS network carries scale‑free hierarchical fractal attributes. Through local‑community‑paradigm (LCP) estimation we fnd that a strong LCP is also maintained which means that networks are dynamic and heterogeneous. We identifed nine key regulators which serve as the backbone of the TS network. Furthermore, we recognized eight interologs functional in seven diferent organisms from lower to higher levels. Overall, these results ofer few key regulators and essential genes that we envisage have potential as therapeutic targets for the TS in the future and the animal models studied here may prove useful in the validation of such targets. Te medical systems and scientists throughout the world are under an unprecedented challenge to meet the medical needs of much of the world’s population that are sufering from chromosomal anomalies.
    [Show full text]
  • A Comprehensive Analysis of the MAGE Family As Prognostic and Diagnostic Markers for Hepatocellular Carcinoma
    A Comprehensive Analysis of the MAGE Family as Prognostic and Diagnostic Markers for Hepatocellular Carcinoma Rong Li Guangdong Provincial Key Laboratory of Liver Disease Research, Guangdong province engineering laboratory for transplantation medicine, Third Aliated Hospital of Sun Yat-sen University Jiao Gong Department of Laboratory Medicine, Third Aliated Hospital of Sun Yat-sen University Cuicui Xiao Department of Anesthesiology, Cell-Gene therapy Translational Medicine Research Center, Third Aliated Hospital of Sun Yat-sen University Shuguang Zhu Department of Hepatic Surgery and Liver Transplantation Center, The Third Aliated Hospital of Sun Yat-sen University Zhongying Hu Guangdong provincial Key Laboratory of Liver Disease Research, Third Aliated Hospital of Sun Yat- sen University Jinliang Liang Guangdong Provincial Key Laboratory of Liver Disease Research, Third Aliated Hospital of Sun Yat- sen University Xuejiao Li Guangdong Provincial Key Laboratory of Liver Disease Research, Third Aliated Hospital of Sun Yat- sen University Xijing Yan Department of Hepatic Surgery and Liver Transplantation Center, Third Aliated Hospital of Sun Yat-sen University Xijian Zhang Department of Hepatic Surgery and Liver Transplantation Center, Third Aliated Hospital of Sun Yat-sen University Danyang Li Department of Infectious Diseases, Third Aliated Hospital of Sun Yat-sen University Wei Liu Guangdong Provincial Key Laboratory of Liver Disease Research, Guangdong province engineering laboratory for transplantation medicine, Third Aliated Hospital
    [Show full text]
  • Genome-Wide Gene Expression Profiling of Randall's Plaques In
    CLINICAL RESEARCH www.jasn.org Genome-Wide Gene Expression Profiling of Randall’s Plaques in Calcium Oxalate Stone Formers † † Kazumi Taguchi,* Shuzo Hamamoto,* Atsushi Okada,* Rei Unno,* Hideyuki Kamisawa,* Taku Naiki,* Ryosuke Ando,* Kentaro Mizuno,* Noriyasu Kawai,* Keiichi Tozawa,* Kenjiro Kohri,* and Takahiro Yasui* *Department of Nephro-urology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan; and †Department of Urology, Social Medical Corporation Kojunkai Daido Hospital, Daido Clinic, Nagoya, Japan ABSTRACT Randall plaques (RPs) can contribute to the formation of idiopathic calcium oxalate (CaOx) kidney stones; however, genes related to RP formation have not been identified. We previously reported the potential therapeutic role of osteopontin (OPN) and macrophages in CaOx kidney stone formation, discovered using genome-recombined mice and genome-wide analyses. Here, to characterize the genetic patho- genesis of RPs, we used microarrays and immunohistology to compare gene expression among renal papillary RP and non-RP tissues of 23 CaOx stone formers (SFs) (age- and sex-matched) and normal papillary tissue of seven controls. Transmission electron microscopy showed OPN and collagen expression inside and around RPs, respectively. Cluster analysis revealed that the papillary gene expression of CaOx SFs differed significantly from that of controls. Disease and function analysis of gene expression revealed activation of cellular hyperpolarization, reproductive development, and molecular transport in papillary tissue from RPs and non-RP regions of CaOx SFs. Compared with non-RP tissue, RP tissue showed upregulation (˃2-fold) of LCN2, IL11, PTGS1, GPX3,andMMD and downregulation (0.5-fold) of SLC12A1 and NALCN (P,0.01). In network and toxicity analyses, these genes associated with activated mitogen- activated protein kinase, the Akt/phosphatidylinositol 3-kinase pathway, and proinflammatory cytokines that cause renal injury and oxidative stress.
    [Show full text]
  • Post-Transcriptional Regulation of Cancer/Testis Antigen MAGEC2
    Song et al. BMC Cancer (2018) 18:971 https://doi.org/10.1186/s12885-018-4844-1 RESEARCHARTICLE Open Access Post-transcriptional regulation of cancer/ testis antigen MAGEC2 expression by TRIM28 in tumor cells Xiao Song1†, Chengli Guo1†, Yutian Zheng1†, Ying Wang1, Zhongtian Jin2* and Yanhui Yin1* Abstract Background: Cancer/testis antigen MAGEC2 (also known as HCA587) is highly expressed in a wide variety of tumors and plays an active role in promoting growth and metastasis of tumor cells. However, little is known for the regulation of MAGEC2 expression in cancer cells. Methods: Western blotting and quantitative RT-PCR were performed to analyze MAGEC2 expression. Co- immunoprecipitation assay was applied for detecting the endogenous interaction of MAGEC2 and TRIM28 in tumor cells. Overexpression and knockdown assays were used to examine the effects of TRIM28 on the expression of MAGEC2 protein. Immunohistochemistry (IHC) staining was performed in hepatocellular carcinoma patients to evaluate the association between the expression of MAGEC2 and TRIM28. Proteasome inhibitors MG132 or PS-341 and lysosome inhibitor Chloroquine (CQ) were used to inhibit proteasomal or lysosomal-mediated protein degradation respectively. Results: We demonstrate that MAGEC2 interacts with TRIM28 in melanoma cells and MAGEC2 expression in tumor cells depends on the expression of TRIM28. The expression level of MAGEC2 protein was significantly reduced when TRIM28 wasdepletedintumorcells,andnochangeswereobservedin MAGEC2 mRNA level. Furthermore, expression levels of MAGEC2 and TRIM28 are positively correlated in MAGEC2-positive human hepatocellular carcinoma tissues (p = 0.0011). Mechanistic studies indicate that the regulatory role of TRIM28 on MAGEC2 protein expression in tumor cells depends on proteasome-mediated pathway.
    [Show full text]
  • 1 Title: a Multi-Layered Systems Approach for Renal Cell Carcinoma
    bioRxiv preprint doi: https://doi.org/10.1101/2020.01.13.904235; this version posted January 14, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Title: A multi-layered systems approach for renal cell carcinoma Lindsay S. Cooley1,2*, Justine Rudewicz1,2,3*, Wilfried Souleyreau1,2*, Kim Clarke4, Francesco Falciani4, Maeva Dufies5,6, Stephanie Verbeke 1,2, Andrea Emanuelli 1,2, Sebastien Benzekry7. Cécile Taing7, Emeline Julie Ribot8, Sylvain Miraux8, Diether Lambrechts9, Elodie Modave9, Raphael Pineau10, Marie-Alix Derieppe10, Damien Ambrosetti11, Jean- Christophe Bernhard12, Alain Ravaud13, Sylvie Négrier14, Jean-Marc Ferrero15, Gilles Pagès5,6, Macha Nikolski3,16, Andreas Bikfalvi1,2 1. University of Bordeaux, LAMC, Pessac, France 2. INSERM U1029, Pessac, France 3. Bordeaux Bioinformatics Center, CBiB, University of Bordeaux, France 4. Institute of Integrative Biology, University Liverpool, UK 5. Centre Scientifique de Monaco, Biomedical Department, Principality of Monaco 6. University Côte d’Azur, Institute for Research on Cancer and Aging of Nice (IRCAN), CNRS UMR 7284; INSERM U1081, Centre Antoine Lacassagne, France 7. MONC, Centre de Recherche Inria, Bordeaux, France 8. Centre de Résonance Magnétique des Systèmes Biologiques (RMSB),UMR 5536 CNRS, Bordeaux 9. VIB-KU Leuven Center for Cancer Biology, Leuven, Belgium 10. University of Bordeaux, «Service Commun des Animaleries», Bordeaux, France 11. Centre Hospitalier Universitaire (CHU) de Nice, Hôpital Pasteur, Central laboratory of Pathology, France 12. Centre Hospitalier Universitaire (CHU) de Bordeaux, service d’urologie 13. Centre Hospitalier Universitaire (CHU) de Bordeaux, service d’oncologie médicale 14. Université de Lyon, Centre Léon Bérard, Lyon, France 15.
    [Show full text]
  • MAGE-C2–Specific Tcrs Combined with Epigenetic Drug-Enhanced
    MAGE-C2−Specific TCRs Combined with Epigenetic Drug-Enhanced Antigenicity Yield Robust and Tumor-Selective T Cell Responses This information is current as of September 24, 2021. Andre Kunert, Mandy van Brakel, Sabine van Steenbergen-Langeveld, Marvin da Silva, Pierre G. Coulie, Cor Lamers, Stefan Sleijfer and Reno Debets J Immunol published online 3 August 2016 http://www.jimmunol.org/content/early/2016/08/02/jimmun Downloaded from ol.1502024 Supplementary http://www.jimmunol.org/content/suppl/2016/08/02/jimmunol.150202 http://www.jimmunol.org/ Material 4.DCSupplemental Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists by guest on September 24, 2021 • Fast Publication! 4 weeks from acceptance to publication *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. Published August 3, 2016, doi:10.4049/jimmunol.1502024 The Journal of Immunology MAGE-C2–Specific TCRs Combined with Epigenetic Drug-Enhanced Antigenicity Yield Robust and Tumor-Selective T Cell Responses Andre Kunert,* Mandy van Brakel,* Sabine van Steenbergen-Langeveld,* Marvin da Silva,* Pierre G.
    [Show full text]