26 results on '"Murphy, Maureen E."'
Search Results
2. The transcription-independent mitochondrial cell death pathway is defective in non-transformed cells containing the Pro47Ser variant of p53.
- Author
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Budina-Kolomets A, Barnoud T, and Murphy ME
- Subjects
- Apoptosis drug effects, Apoptosis genetics, Cell Death drug effects, Cell Death genetics, Cell Line, Tumor, Cisplatin pharmacology, Humans, Mitochondria drug effects, Mitochondria metabolism, Models, Biological, NIMA-Interacting Peptidylprolyl Isomerase metabolism, Protein Binding, Tumor Suppressor Protein p53 metabolism, Amino Acid Substitution, Mitochondria genetics, Mutation, Transcription, Genetic drug effects, Tumor Suppressor Protein p53 genetics
- Abstract
Approximately half of all human cancers contain mutations in the TP53 tumor suppressor. In addition to mutations, there are single nucleotide polymorphisms (SNPs) in TP53 that can dampen p53 function, and can increase cancer risk and decrease the efficacy of cancer therapy. Approximately 6% of Africans and 1% of African-Americans express a p53 allele with a serine instead of proline at position 47 (Pro47Ser, or S47). The S47 variant is associated with increased breast cancer risk in pre-menopausal African Americans, and in a mouse model for the S47 variant, mice are predisposed to spontaneous cancers. We recently showed that the S47 variant is impaired for p53-mediated apoptosis in response to radiation and some genotoxic agents, particularly cisplatin. Here we identify the mechanism for impaired apoptosis of S47 in response to cisplatin. We show that following cisplatin treatment, the S47 variant shows normal stabilization and serine 15 phosphorylation, but reduced ability to bind to the peptidyl prolyl isomerase PIN1, which controls the mitochondrial localization of p53. This is accompanied by impaired mitochondrial localization of S47, along with decreased induction of cleaved caspase-3. Interestingly, we show that this defect occurs only for cisplatin and not for camptothecin. These findings show that normal tissues may respond differently to genotoxic stress depending upon this TP53 genotype. These data suggest that toxicity to cisplatin may be decreased in S47 individuals, and that this compound may be a superior treatment option for these individuals.
- Published
- 2018
- Full Text
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3. The codon 72 polymorphism of p53 influences cell fate following nutrient deprivation.
- Author
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Kung CP, Liu Q, and Murphy ME
- Subjects
- Animals, Apoptosis genetics, Biomarkers, Tumor genetics, Cell Line, Tumor, Cyclin-Dependent Kinase Inhibitor p21 genetics, Cyclin-Dependent Kinase Inhibitor p21 metabolism, Disease Models, Animal, Fibroblasts, Humans, Mice, Mice, Transgenic, Mutation, Tumor Suppressor Protein p53 metabolism, Cell Survival genetics, Codon, Energy Metabolism, Polymorphism, Single Nucleotide, Tumor Suppressor Protein p53 genetics
- Abstract
The TP53 gene is distinguished as the most frequently mutated gene in cancer. Unlike most cancer-relevant genes, the TP53 gene is also distinguished by the existence of coding region polymorphisms that alter p53 sequence, and in some cases, also alter p53 function. A common coding region variant at amino acid 72 of p53 encodes either proline (P72) or arginine (R72). P72 is the ancestral variant and is most common in populations near the equator. The frequency of the R72 variant increases in a linear manner with latitude. To date, why the R72 variant arose in humans and was possibly selected for has remained unclear. Here-in we show that this single nucleotide polymorphism (SNP) influences the phosphorylation of p53 and the transactivation of the key p53 target CDKN1A (p21) specifically in response to nutrient deprivation, but not in response to conventional cytotoxic agents. Following activation of the kinase AMPK, R72 cells show increased phosphorylation on serine-15 and increased transactivation of the cyclin-dependent kinase inhibitor CDKN1A (p21) and the metabolic response genes PPARGC1B (PGC-1β) and PRKAB2 (AMPK-β2). This is accompanied by increased growth arrest and decreased apoptosis in R72 cells compared with P72 cells. The combined data fit best with the hypothesis that the R72 polymorphism confers increased cell survival in response to nutrient deprivation. This differential response to nutrient deprivation may explain part of selection for this SNP at northern latitudes, where nutrient deprivation might have been more frequent.
- Published
- 2017
- Full Text
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4. The African-specific S47 polymorphism of p53 alters chemosensitivity.
- Author
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Basu S, Barnoud T, Kung CP, Reiss M, and Murphy ME
- Subjects
- Adenovirus E1A Proteins metabolism, Animals, Cell Line, Transformed, Cisplatin pharmacology, Clone Cells, Doxorubicin pharmacology, Drug Resistance, Neoplasm drug effects, Humans, Inhibitory Concentration 50, Mice, Paclitaxel pharmacology, Piperazines pharmacology, Transcriptional Activation drug effects, Transcriptional Activation genetics, ras Proteins metabolism, Antineoplastic Agents pharmacology, Black People genetics, Polymorphism, Single Nucleotide genetics, Tumor Suppressor Protein p53 genetics
- Abstract
The TP53 protein is known to affect the sensitivity of tumor cells to cell death by DNA damaging agents. We recently reported that human and mouse cells containing an African-specific coding region variant of p53, Pro47Ser (hereafter S47), are impaired in the transactivation of a small subset of p53 target genes including GLS2 and SCO2, and are markedly resistant to cisplatin. Further, mice containing this variant are markedly predisposed to cancer. Together these findings suggested that cancer-affected humans with the S47 variant might not be effectively treated with cisplatin. To more directly test this premise, we created transformed derivatives of mouse embryo fibroblasts (MEFs) containing wild type p53 (WT) and the S47 variant and analyzed them for chemosensitivity. We find that transformation with E1A and Ras actually reverses the chemosensitivity/transcriptional differences between WT p53 and S47. Specifically, E1A/Ras-transformed S47 cells show increased sensitivity to cisplatin and paclitaxel, and comparable transactivation of GLS2 and SCO2, compared to cells with WT p53. These data suggest that the functional differences between WT p53 and S47 in primary cells may not hold true for transformed cells. They also offer hope that cisplatin and paclitaxel may be effective chemotherapeutic drugs for S47 individuals with cancer.
- Published
- 2016
- Full Text
- View/download PDF
5. p53 family members regulate cancer stem cells.
- Author
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Basu S and Murphy ME
- Subjects
- DNA-Binding Proteins, Genes, Tumor Suppressor, Tumor Suppressor Protein p53, Tumor Suppressor Proteins, Neoplastic Stem Cells, Tumor Protein p73
- Published
- 2016
- Full Text
- View/download PDF
6. A link between TP53 polymorphisms and metabolism.
- Author
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Kung CP, Basu S, and Murphy ME
- Abstract
Besides being a critical tumor suppressor, the TP53 gene also plays a role in metabolism and recent studies in humans have implicated the codon 72 polymorphism of TP53 in this role. Using a humanized knock-in mouse model for these TP53 variants, we show that this polymorphism has a significant impact on the metabolic response to a high-fat diet.
- Published
- 2016
- Full Text
- View/download PDF
7. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition).
- Author
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Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Acevedo Arozena A, Adachi H, Adams CM, Adams PD, Adeli K, Adhihetty PJ, Adler SG, Agam G, Agarwal R, Aghi MK, Agnello M, Agostinis P, Aguilar PV, Aguirre-Ghiso J, Airoldi EM, Ait-Si-Ali S, Akematsu T, Akporiaye ET, Al-Rubeai M, Albaiceta GM, Albanese C, Albani D, Albert ML, Aldudo J, Algül H, Alirezaei M, Alloza I, Almasan A, Almonte-Beceril M, Alnemri ES, Alonso C, Altan-Bonnet N, Altieri DC, Alvarez S, Alvarez-Erviti L, Alves S, Amadoro G, Amano A, Amantini C, Ambrosio S, Amelio I, Amer AO, Amessou M, Amon A, An Z, Anania FA, Andersen SU, Andley UP, Andreadi CK, Andrieu-Abadie N, Anel A, Ann DK, Anoopkumar-Dukie S, Antonioli M, Aoki H, Apostolova N, Aquila S, Aquilano K, Araki K, Arama E, Aranda A, Araya J, Arcaro A, Arias E, Arimoto H, Ariosa AR, Armstrong JL, Arnould T, Arsov I, Asanuma K, Askanas V, Asselin E, Atarashi R, Atherton SS, Atkin JD, Attardi LD, Auberger P, Auburger G, Aurelian L, Autelli R, Avagliano L, 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Castro-Obregon S, Cavallini G, Ceccherini I, Cecconi F, Cederbaum AI, Ceña V, Cenci S, Cerella C, Cervia D, Cetrullo S, Chaachouay H, Chae HJ, Chagin AS, Chai CY, Chakrabarti G, Chamilos G, Chan EY, Chan MT, Chandra D, Chandra P, Chang CP, Chang RC, Chang TY, Chatham JC, Chatterjee S, Chauhan S, Che Y, Cheetham ME, Cheluvappa R, Chen CJ, Chen G, Chen GC, Chen G, Chen H, Chen JW, Chen JK, Chen M, Chen M, Chen P, Chen Q, Chen Q, Chen SD, Chen S, Chen SS, Chen W, Chen WJ, Chen WQ, Chen W, Chen X, Chen YH, Chen YG, Chen Y, Chen Y, Chen Y, Chen YJ, Chen YQ, Chen Y, Chen Z, Chen Z, Cheng A, Cheng CH, Cheng H, Cheong H, Cherry S, Chesney J, Cheung CH, Chevet E, Chi HC, Chi SG, Chiacchiera F, Chiang HL, Chiarelli R, Chiariello M, Chieppa M, Chin LS, Chiong M, Chiu GN, Cho DH, Cho SG, Cho WC, Cho YY, Cho YS, Choi AM, Choi EJ, Choi EK, Choi J, Choi ME, Choi SI, Chou TF, Chouaib S, Choubey D, Choubey V, Chow KC, Chowdhury K, Chu CT, Chuang TH, Chun T, Chung H, Chung T, Chung YL, Chwae YJ, Cianfanelli V, Ciarcia R, Ciechomska IA, Ciriolo MR, Cirone M, Claerhout S, Clague MJ, Clària J, Clarke PG, Clarke R, Clementi E, Cleyrat C, Cnop M, Coccia EM, Cocco T, Codogno P, Coers J, Cohen EE, Colecchia D, Coletto L, Coll NS, Colucci-Guyon E, Comincini S, Condello M, Cook KL, Coombs GH, Cooper CD, Cooper JM, Coppens I, Corasaniti MT, Corazzari M, Corbalan R, Corcelle-Termeau E, Cordero MD, Corral-Ramos C, Corti O, Cossarizza A, Costelli P, Costes S, Cotman SL, Coto-Montes A, Cottet S, Couve E, Covey LR, Cowart LA, Cox JS, Coxon FP, Coyne CB, Cragg MS, Craven RJ, Crepaldi T, Crespo JL, Criollo A, Crippa V, Cruz MT, Cuervo AM, Cuezva JM, Cui T, Cutillas PR, Czaja MJ, Czyzyk-Krzeska MF, Dagda RK, Dahmen U, Dai C, Dai W, Dai Y, Dalby KN, Dalla Valle L, Dalmasso G, D'Amelio M, Damme M, Darfeuille-Michaud A, Dargemont C, Darley-Usmar VM, Dasarathy S, Dasgupta B, Dash S, Dass CR, Davey HM, Davids LM, Dávila D, Davis RJ, Dawson TM, Dawson VL, Daza P, de Belleroche J, de Figueiredo P, de 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Dunlop EA, Dunn WA Jr, Dupont N, Dupuis L, Durán RV, Durcan TM, Duvezin-Caubet S, Duvvuri U, Eapen V, Ebrahimi-Fakhari D, Echard A, Eckhart L, Edelstein CL, Edinger AL, Eichinger L, Eisenberg T, Eisenberg-Lerner A, Eissa NT, El-Deiry WS, El-Khoury V, Elazar Z, Eldar-Finkelman H, Elliott CJ, Emanuele E, Emmenegger U, Engedal N, Engelbrecht AM, Engelender S, Enserink JM, Erdmann R, Erenpreisa J, Eri R, Eriksen JL, Erman A, Escalante R, Eskelinen EL, Espert L, Esteban-Martínez L, Evans TJ, Fabri M, Fabrias G, Fabrizi C, Facchiano A, Færgeman NJ, Faggioni A, Fairlie WD, Fan C, Fan D, Fan J, Fang S, Fanto M, Fanzani A, Farkas T, Faure M, Favier FB, Fearnhead H, Federici M, Fei E, Felizardo TC, Feng H, Feng Y, Feng Y, Ferguson TA, Fernández ÁF, Fernandez-Barrena MG, Fernandez-Checa JC, Fernández-López A, Fernandez-Zapico ME, Feron O, Ferraro E, Ferreira-Halder CV, Fesus L, Feuer R, Fiesel FC, Filippi-Chiela EC, Filomeni G, Fimia GM, Fingert JH, Finkbeiner S, Finkel T, Fiorito F, Fisher PB, 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Li M, Li M, Li Q, Li R, Li S, Li W, Li W, Li X, Li Y, Lian J, Liang C, Liang Q, Liao Y, Liberal J, Liberski PP, Lie P, Lieberman AP, Lim HJ, Lim KL, Lim K, Lima RT, Lin CS, Lin CF, Lin F, Lin F, Lin FC, Lin K, Lin KH, Lin PH, Lin T, Lin WW, Lin YS, Lin Y, Linden R, Lindholm D, Lindqvist LM, Lingor P, Linkermann A, Liotta LA, Lipinski MM, Lira VA, Lisanti MP, Liton PB, Liu B, Liu C, Liu CF, Liu F, Liu HJ, Liu J, Liu JJ, Liu JL, Liu K, Liu L, Liu L, Liu Q, Liu RY, Liu S, Liu S, Liu W, Liu XD, Liu X, Liu XH, Liu X, Liu X, Liu X, Liu Y, Liu Y, Liu Z, Liu Z, Liuzzi JP, Lizard G, Ljujic M, Lodhi IJ, Logue SE, Lokeshwar BL, Long YC, Lonial S, Loos B, López-Otín C, López-Vicario C, Lorente M, Lorenzi PL, Lõrincz P, Los M, Lotze MT, Lovat PE, Lu B, Lu B, Lu J, Lu Q, Lu SM, Lu S, Lu Y, Luciano F, Luckhart S, Lucocq JM, Ludovico P, Lugea A, Lukacs NW, Lum JJ, Lund AH, Luo H, Luo J, Luo S, Luparello C, Lyons T, Ma J, Ma Y, Ma Y, Ma Z, Machado J, Machado-Santelli GM, Macian F, MacIntosh GC, MacKeigan JP, Macleod KF, MacMicking JD, MacMillan-Crow LA, Madeo F, Madesh M, Madrigal-Matute J, Maeda A, Maeda T, Maegawa G, Maellaro E, Maes H, Magariños M, Maiese K, Maiti TK, Maiuri L, Maiuri MC, Maki CG, Malli R, Malorni W, Maloyan A, Mami-Chouaib F, Man N, Mancias JD, Mandelkow EM, Mandell MA, Manfredi AA, Manié SN, Manzoni C, Mao K, Mao Z, Mao ZW, Marambaud P, Marconi AM, Marelja Z, Marfe G, Margeta M, Margittai E, Mari M, Mariani FV, Marin C, Marinelli S, Mariño G, Markovic I, Marquez R, Martelli AM, Martens S, Martin KR, Martin SJ, Martin S, Martin-Acebes MA, Martín-Sanz P, Martinand-Mari C, Martinet W, Martinez J, Martinez-Lopez N, Martinez-Outschoorn U, Martínez-Velázquez M, Martinez-Vicente M, Martins WK, Mashima H, Mastrianni JA, Matarese G, Matarrese P, Mateo R, Matoba S, Matsumoto N, Matsushita T, Matsuura A, Matsuzawa T, Mattson MP, Matus S, Maugeri N, Mauvezin C, Mayer A, Maysinger D, Mazzolini GD, McBrayer MK, McCall K, McCormick C, McInerney GM, McIver SC, McKenna S, McMahon JJ, McNeish IA, Mechta-Grigoriou F, Medema JP, Medina DL, Megyeri K, Mehrpour M, Mehta JL, Mei Y, Meier UC, Meijer AJ, Meléndez A, Melino G, Melino S, de Melo EJ, Mena MA, Meneghini MD, Menendez JA, Menezes R, Meng L, Meng LH, Meng S, Menghini R, Menko AS, Menna-Barreto RF, Menon MB, Meraz-Ríos MA, Merla G, Merlini L, Merlot AM, Meryk A, Meschini S, Meyer JN, Mi MT, Miao CY, Micale L, Michaeli S, Michiels C, Migliaccio AR, Mihailidou AS, Mijaljica D, Mikoshiba K, Milan E, Miller-Fleming L, Mills GB, Mills IG, Minakaki G, Minassian BA, Ming XF, Minibayeva F, Minina EA, Mintern JD, Minucci S, Miranda-Vizuete A, Mitchell CH, Miyamoto S, Miyazawa K, Mizushima N, Mnich K, Mograbi B, Mohseni S, Moita LF, Molinari M, Molinari M, Møller AB, Mollereau B, Mollinedo F, Mongillo M, Monick MM, Montagnaro S, Montell C, Moore DJ, Moore MN, Mora-Rodriguez R, Moreira PI, Morel E, Morelli MB, Moreno S, Morgan MJ, Moris A, Moriyasu Y, Morrison JL, Morrison LA, Morselli E, Moscat J, Moseley PL, 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Pessin JE, Peters GJ, Petersen M, Petrache I, Petrof BJ, Petrovski G, Phang JM, Piacentini M, Pierdominici M, Pierre P, Pierrefite-Carle V, Pietrocola F, Pimentel-Muiños FX, Pinar M, Pineda B, Pinkas-Kramarski R, Pinti M, Pinton P, Piperdi B, Piret JM, Platanias LC, Platta HW, Plowey ED, Pöggeler S, Poirot M, Polčic P, Poletti A, Poon AH, Popelka H, Popova B, Poprawa I, Poulose SM, Poulton J, Powers SK, Powers T, Pozuelo-Rubio M, Prak K, Prange R, Prescott M, Priault M, Prince S, Proia RL, Proikas-Cezanne T, Prokisch H, Promponas VJ, Przyklenk K, Puertollano R, Pugazhenthi S, Puglielli L, Pujol A, Puyal J, Pyeon D, Qi X, Qian WB, Qin ZH, Qiu Y, Qu Z, Quadrilatero J, Quinn F, Raben N, Rabinowich H, Radogna F, Ragusa MJ, Rahmani M, Raina K, Ramanadham S, Ramesh R, Rami A, Randall-Demllo S, Randow F, Rao H, Rao VA, Rasmussen BB, Rasse TM, Ratovitski EA, Rautou PE, Ray SK, Razani B, Reed BH, Reggiori F, Rehm M, Reichert AS, Rein T, Reiner DJ, Reits E, Ren J, Ren X, Renna M, Reusch JE, Revuelta JL, Reyes L, Rezaie AR, Richards RI, Richardson DR, Richetta C, Riehle MA, Rihn BH, Rikihisa Y, Riley BE, Rimbach G, Rippo MR, Ritis K, Rizzi F, Rizzo E, Roach PJ, Robbins J, Roberge M, Roca G, Roccheri MC, Rocha S, Rodrigues CMP, Rodríguez CI, de Cordoba SR, Rodriguez-Muela N, Roelofs J, Rogov VV, Rohn TT, Rohrer B, Romanelli D, Romani L, Romano PS, Roncero MI, Rosa JL, Rosello A, Rosen KV, Rosenstiel P, Rost-Roszkowska M, Roth KA, Roué G, Rouis M, Rouschop KM, Ruan DT, Ruano D, Rubinsztein DC, Rucker EB 3rd, Rudich A, Rudolf E, Rudolf R, Ruegg MA, Ruiz-Roldan C, Ruparelia AA, Rusmini P, Russ DW, Russo GL, Russo G, Russo R, Rusten TE, Ryabovol V, Ryan KM, Ryter SW, Sabatini DM, Sacher M, Sachse C, Sack MN, Sadoshima J, Saftig P, Sagi-Eisenberg R, Sahni S, Saikumar P, Saito T, Saitoh T, Sakakura K, Sakoh-Nakatogawa M, Sakuraba Y, Salazar-Roa M, Salomoni P, Saluja AK, Salvaterra PM, Salvioli R, Samali A, Sanchez AM, Sánchez-Alcázar JA, Sanchez-Prieto R, Sandri M, Sanjuan MA, Santaguida S, Santambrogio L, Santoni G, Dos Santos CN, Saran S, Sardiello M, Sargent G, Sarkar P, Sarkar S, Sarrias MR, Sarwal MM, Sasakawa C, Sasaki M, Sass M, Sato K, Sato M, Satriano J, Savaraj N, Saveljeva S, Schaefer L, Schaible UE, Scharl M, Schatzl HM, Schekman R, Scheper W, Schiavi A, Schipper HM, Schmeisser H, Schmidt J, Schmitz I, Schneider BE, Schneider EM, Schneider JL, Schon EA, Schönenberger MJ, Schönthal AH, Schorderet DF, Schröder B, Schuck S, Schulze RJ, Schwarten M, Schwarz TL, Sciarretta S, Scotto K, Scovassi AI, Screaton RA, Screen M, Seca H, Sedej S, Segatori L, Segev N, Seglen PO, Seguí-Simarro JM, Segura-Aguilar J, Seki E, Sell C, Seiliez I, Semenkovich CF, Semenza GL, Sen U, Serra AL, Serrano-Puebla A, Sesaki H, Setoguchi T, Settembre C, Shacka JJ, Shajahan-Haq AN, Shapiro IM, Sharma S, She H, Shen CK, Shen CC, Shen HM, Shen S, Shen W, Sheng R, Sheng X, Sheng ZH, Shepherd TG, Shi J, Shi Q, Shi Q, Shi Y, Shibutani S, Shibuya K, Shidoji Y, Shieh JJ, Shih CM, Shimada Y, Shimizu S, Shin DW, Shinohara ML, Shintani M, Shintani T, Shioi T, Shirabe K, Shiri-Sverdlov R, Shirihai O, Shore GC, Shu CW, Shukla D, Sibirny AA, Sica V, Sigurdson CJ, Sigurdsson EM, Sijwali PS, Sikorska B, Silveira WA, Silvente-Poirot S, Silverman GA, Simak J, Simmet T, Simon AK, Simon HU, Simone C, Simons M, Simonsen A, Singh R, Singh SV, Singh SK, Sinha D, Sinha S, Sinicrope FA, Sirko A, Sirohi K, Sishi BJ, Sittler A, Siu PM, Sivridis E, Skwarska A, Slack R, Slaninová I, Slavov N, Smaili SS, Smalley KS, Smith DR, Soenen SJ, Soleimanpour SA, Solhaug A, Somasundaram K, Son JH, Sonawane A, Song C, Song F, Song HK, Song JX, Song W, Soo KY, Sood AK, Soong TW, Soontornniyomkij V, Sorice M, Sotgia F, Soto-Pantoja DR, Sotthibundhu A, Sousa MJ, Spaink HP, Span PN, Spang A, Sparks JD, Speck PG, Spector SA, Spies CD, Springer W, Clair DS, Stacchiotti A, Staels B, Stang MT, Starczynowski DT, Starokadomskyy P, Steegborn C, Steele JW, Stefanis L, Steffan J, Stellrecht CM, Stenmark H, Stepkowski TM, Stern ST, Stevens C, Stockwell BR, Stoka V, Storchova Z, Stork B, Stratoulias V, Stravopodis DJ, Strnad P, Strohecker AM, Ström AL, Stromhaug P, Stulik J, Su YX, Su Z, Subauste CS, Subramaniam S, Sue CM, Suh SW, Sui X, Sukseree S, Sulzer D, Sun FL, Sun J, Sun J, Sun SY, Sun Y, Sun Y, Sun Y, Sundaramoorthy V, Sung J, Suzuki H, Suzuki K, Suzuki N, Suzuki T, Suzuki YJ, Swanson MS, Swanton C, Swärd K, Swarup G, Sweeney ST, Sylvester PW, Szatmari Z, Szegezdi E, Szlosarek PW, Taegtmeyer H, Tafani M, Taillebourg E, Tait SW, Takacs-Vellai K, Takahashi Y, Takáts S, Takemura G, Takigawa N, Talbot NJ, Tamagno E, Tamburini J, Tan CP, Tan L, Tan ML, Tan M, Tan YJ, Tanaka K, Tanaka M, Tang D, Tang D, Tang G, Tanida I, Tanji K, Tannous BA, Tapia JA, Tasset-Cuevas I, Tatar M, Tavassoly I, Tavernarakis N, Taylor A, Taylor GS, Taylor GA, Taylor JP, Taylor MJ, Tchetina EV, Tee AR, Teixeira-Clerc F, Telang S, Tencomnao T, Teng BB, Teng RJ, Terro F, Tettamanti G, Theiss AL, Theron AE, Thomas KJ, Thomé MP, Thomes PG, Thorburn A, Thorner J, Thum T, Thumm M, Thurston TL, Tian L, Till A, Ting JP, Titorenko VI, Toker L, Toldo S, Tooze SA, Topisirovic I, Torgersen ML, Torosantucci L, Torriglia A, Torrisi MR, Tournier C, Towns R, Trajkovic V, Travassos LH, Triola G, Tripathi DN, Trisciuoglio D, Troncoso R, Trougakos IP, Truttmann AC, Tsai KJ, Tschan MP, Tseng YH, Tsukuba T, Tsung A, Tsvetkov AS, Tu S, Tuan HY, Tucci M, Tumbarello DA, Turk B, Turk V, Turner RF, Tveita AA, Tyagi SC, Ubukata M, Uchiyama Y, Udelnow A, Ueno T, Umekawa M, Umemiya-Shirafuji R, Underwood BR, Ungermann C, Ureshino RP, Ushioda R, Uversky VN, Uzcátegui NL, Vaccari T, Vaccaro MI, Váchová L, Vakifahmetoglu-Norberg H, Valdor R, Valente EM, Vallette F, Valverde AM, Van den Berghe G, Van Den Bosch L, van den Brink GR, van der Goot FG, van der Klei IJ, van der Laan LJ, van Doorn WG, van Egmond M, van Golen KL, Van Kaer L, van Lookeren Campagne M, Vandenabeele P, Vandenberghe W, Vanhorebeek I, Varela-Nieto I, Vasconcelos MH, Vasko R, Vavvas DG, Vega-Naredo I, Velasco G, Velentzas AD, Velentzas PD, Vellai T, Vellenga E, Vendelbo MH, Venkatachalam K, Ventura N, Ventura S, Veras PS, Verdier M, Vertessy BG, Viale A, Vidal M, Vieira HL, Vierstra RD, Vigneswaran N, Vij N, Vila M, Villar M, Villar VH, Villarroya J, Vindis C, Viola G, Viscomi MT, Vitale G, Vogl DT, Voitsekhovskaja OV, von Haefen C, von Schwarzenberg K, Voth DE, Vouret-Craviari V, Vuori K, Vyas JM, Waeber C, Walker CL, Walker MJ, Walter J, Wan L, Wan X, Wang B, Wang C, Wang CY, Wang C, Wang C, Wang C, Wang D, Wang F, Wang F, Wang G, Wang HJ, Wang H, Wang HG, Wang H, Wang HD, Wang J, Wang J, Wang M, Wang MQ, Wang PY, Wang P, Wang RC, Wang S, Wang TF, Wang X, Wang XJ, Wang XW, Wang X, Wang X, Wang Y, Wang Y, Wang Y, Wang YJ, Wang Y, Wang Y, Wang YT, Wang Y, Wang ZN, Wappner P, Ward C, Ward DM, Warnes G, Watada H, Watanabe Y, Watase K, Weaver TE, Weekes CD, Wei J, Weide T, Weihl CC, Weindl G, Weis SN, Wen L, Wen X, Wen Y, Westermann B, Weyand CM, White AR, White E, Whitton JL, Whitworth AJ, Wiels J, Wild F, Wildenberg ME, Wileman T, Wilkinson DS, Wilkinson S, Willbold D, Williams C, Williams K, Williamson PR, Winklhofer KF, Witkin SS, Wohlgemuth SE, Wollert T, Wolvetang EJ, Wong E, Wong GW, Wong RW, Wong VK, Woodcock EA, Wright KL, Wu C, Wu D, Wu GS, Wu J, Wu J, Wu M, Wu M, Wu S, Wu WK, Wu Y, Wu Z, Xavier CP, Xavier RJ, Xia GX, Xia T, Xia W, Xia Y, Xiao H, Xiao J, Xiao S, Xiao W, Xie CM, Xie Z, Xie Z, Xilouri M, Xiong Y, Xu C, Xu C, Xu F, Xu H, Xu H, Xu J, Xu J, Xu J, Xu L, Xu X, Xu Y, Xu Y, Xu ZX, Xu Z, Xue Y, Yamada T, Yamamoto A, Yamanaka K, Yamashina S, Yamashiro S, Yan B, Yan B, Yan X, Yan Z, Yanagi Y, Yang DS, Yang JM, Yang L, Yang M, Yang PM, Yang P, Yang Q, Yang W, Yang WY, Yang X, Yang Y, Yang Y, Yang Z, Yang Z, Yao MC, Yao PJ, Yao X, Yao Z, Yao Z, Yasui LS, Ye M, Yedvobnick B, Yeganeh B, Yeh ES, Yeyati PL, Yi F, Yi L, Yin XM, Yip CK, Yoo YM, Yoo YH, Yoon SY, Yoshida K, Yoshimori T, Young KH, Yu H, Yu JJ, Yu JT, Yu J, Yu L, Yu WH, Yu XF, Yu Z, Yuan J, Yuan ZM, Yue BY, Yue J, Yue Z, Zacks DN, Zacksenhaus E, Zaffaroni N, Zaglia T, Zakeri Z, Zecchini V, Zeng J, Zeng M, Zeng Q, Zervos AS, Zhang DD, Zhang F, Zhang G, Zhang GC, Zhang H, Zhang H, Zhang H, Zhang H, Zhang J, Zhang J, Zhang J, Zhang J, Zhang JP, Zhang L, Zhang L, Zhang L, Zhang L, Zhang MY, Zhang X, Zhang XD, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhang Y, Zhao M, Zhao WL, Zhao X, Zhao YG, Zhao Y, Zhao Y, Zhao YX, Zhao Z, Zhao ZJ, Zheng D, Zheng XL, Zheng X, Zhivotovsky B, Zhong Q, Zhou GZ, Zhou G, Zhou H, Zhou SF, Zhou XJ, Zhu H, Zhu H, Zhu WG, Zhu W, Zhu XF, Zhu Y, Zhuang SM, Zhuang X, Ziparo E, Zois CE, Zoladek T, Zong WX, Zorzano A, and Zughaier SM
- Subjects
- Animals, Biological Assay methods, Computer Simulation, Humans, Autophagy physiology, Biological Assay standards
- Published
- 2016
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8. Efficacy of the HSP70 inhibitor PET-16 in multiple myeloma.
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Bailey CK, Budina-Kolomets A, Murphy ME, and Nefedova Y
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- Cell Line, Tumor, Cell Survival drug effects, Drug Screening Assays, Antitumor, HSP70 Heat-Shock Proteins metabolism, Humans, Inhibitory Concentration 50, Multiple Myeloma metabolism, Antineoplastic Agents pharmacology, HSP70 Heat-Shock Proteins antagonists & inhibitors, Multiple Myeloma drug therapy, Onium Compounds pharmacology, Organophosphorus Compounds pharmacology
- Abstract
Multiple myeloma (MM) is a common and largely incurable blood cancer for which new treatment options are needed, as resistance to current modalities is an issue. Additionally, because this tumor type often resides in a hypoxic niche of the bone marrow, new therapeutics that remain effective even under hypoxic conditions are sought. Because of the secretory nature of MM cells they are uniquely under proteotoxic stress, and we hypothesized that these tumor cells may alleviate this stress by upregulating the major stress-induced cytosolic form of the chaperone HSP70. In this work we test the efficacy of the HSP70 inhibitor PET-16 for MM. We show that MM cell lines express significant levels of HSP70, and further that inhibition of HSP70 causes decreased viability and apoptosis, along with proteotoxic stress, as assessed by the accumulation of poly-ubiquitylated proteins. Importantly, we show that growth of these tumor cells under hypoxic conditions has no effect on the ability of PET-16 to be cytotoxic. The HSP70 inhibitor PET-16 should thus be considered further for pre-clinical analyses of efficacy in MM.
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- 2015
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9. Autophagy researchers.
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Amaravadi R, Murphy ME, Soldati T, and Vindis C
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- Animals, Atherosclerosis genetics, Atherosclerosis pathology, Career Choice, Cell Line, Dictyostelium, Humans, Mice, Transgenic, Molecular Targeted Therapy, Neoplasms therapy, Autophagy physiology, Biomedical Research, Laboratory Personnel education
- Published
- 2014
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10. Comparison of the activity of three different HSP70 inhibitors on apoptosis, cell cycle arrest, autophagy inhibition, and HSP90 inhibition.
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Budina-Kolomets A, Balaburski GM, Bondar A, Beeharry N, Yen T, and Murphy ME
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- Adaptor Proteins, Signal Transducing metabolism, Cell Line, Tumor, HSP70 Heat-Shock Proteins metabolism, Humans, Purine Nucleosides pharmacology, Pyridines pharmacology, Sulfonamides pharmacology, Thiazoles pharmacology, Antineoplastic Agents pharmacology, Apoptosis drug effects, Autophagy drug effects, Cell Cycle Checkpoints drug effects, HSP70 Heat-Shock Proteins antagonists & inhibitors
- Abstract
The chaperone HSP70 promotes the survival of cells exposed to many different types of stresses, and is also potently anti-apoptotic. The major stress-induced form of this protein, HSP70-1, is overexpressed in a number of human cancers, yet is negligibly expressed in normal cells. Silencing of the gene encoding HSP70-1 (HSPA1A) is cytotoxic to transformed but not normal cells. Therefore, HSP70 is considered to be a promising cancer drug target, and there has been active interest in the identification and characterization of HSP70 inhibitors for cancer therapy. Because HSP70 behaves in a relatively non-specific manner in the control of protein folding, to date there are no reliably-identified "clients" of this protein, nor is there consensus as to what the phenotypic effects of HSP70 inhibitors are on a cancer cell. Here for the first time we compare three recently-identified HSP70 inhibitors, PES-Cl, MKT-077, and Ver-155008, for their ability to impact some of the known and reported functions of this chaperone; specifically, the ability to inhibit autophagy, to influence the level of HSP90 client proteins, to induce cell cycle arrest, and to inhibit the enzymatic activity of the anaphase-promoting complex/cyclosome (APC/C). We report that all three of these compounds can inhibit autophagy and cause reduced levels of HSP90 client proteins; however, only PES-Cl can inhibit the APC/C and induce G 2/M arrest. Possible reasons for these differences, and the implications for the further development of these prototype compounds as anti-cancer agents, are discussed.
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- 2014
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11. A conserved domain in exon 2 coding for the human and murine ARF tumor suppressor protein is required for autophagy induction.
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Budina-Kolomets A, Hontz RD, Pimkina J, and Murphy ME
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- Animals, Autophagy physiology, Cells, Cultured, Cyclin-Dependent Kinase Inhibitor p16 metabolism, Humans, Mice, Mitochondria metabolism, Tumor Suppressor Protein p53 genetics, Autophagy genetics, Cyclin-Dependent Kinase Inhibitor p16 genetics, Mutation genetics, Tumor Suppressor Protein p53 metabolism, Tumor Suppressor Proteins genetics
- Abstract
The ARF tumor suppressor, encoded by the CDKN2A gene, has a well-defined role regulating TP53 stability; this activity maps to exon 1β of CDKN2A. In contrast, little is known about the function(s) of exon 2 of ARF, which contains the majority of mutations in human cancer. In addition to controlling TP53 stability, ARF also has a role in the induction of autophagy. However, whether the principal molecule involved is full-length ARF, or a small molecular weight variant called smARF, has been controversial. Additionally, whether tumor-derived mutations in exon 2 of CDKN2A affect ARF's autophagy function is unknown. Finally, whereas it is known that silencing or inhibiting TP53 induces autophagy, the contribution of ARF to this induction is unknown. In this report we used multiple autophagy assays to map a region located in the highly conserved 5' end of exon 2 of CDKN2A that is necessary for autophagy induction by both human and murine ARF. We showed that mutations in exon 2 of CDKN2A that affect the coding potential of ARF, but not p16INK4a, all impair the ability of ARF to induce autophagy. We showed that whereas full-length ARF can induce autophagy, our combined data suggest that smARF instead induces mitophagy (selective autophagy of mitochondria), thus potentially resolving some confusion regarding the role of these variants. Finally, we showed that silencing Tp53 induces autophagy in an ARF-dependent manner. Our data indicated that a conserved domain in ARF mediates autophagy, and for the first time they implicate autophagy in ARF's tumor suppressor function.
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- 2013
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12. Guidelines for the use and interpretation of assays for monitoring autophagy.
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Klionsky DJ, Abdalla FC, Abeliovich H, Abraham RT, Acevedo-Arozena A, Adeli K, Agholme L, Agnello M, Agostinis P, Aguirre-Ghiso JA, Ahn HJ, Ait-Mohamed O, Ait-Si-Ali S, Akematsu T, Akira S, Al-Younes HM, Al-Zeer MA, Albert ML, Albin RL, Alegre-Abarrategui J, Aleo MF, Alirezaei M, Almasan A, Almonte-Becerril M, Amano A, Amaravadi R, Amarnath S, Amer AO, Andrieu-Abadie N, Anantharam V, Ann DK, Anoopkumar-Dukie S, Aoki H, Apostolova N, Arancia G, Aris JP, Asanuma K, Asare NY, Ashida H, Askanas V, Askew DS, Auberger P, Baba M, Backues SK, Baehrecke EH, Bahr BA, Bai XY, Bailly Y, Baiocchi R, Baldini G, Balduini W, Ballabio A, Bamber BA, Bampton ET, Bánhegyi G, Bartholomew CR, Bassham DC, Bast RC Jr, Batoko H, Bay BH, Beau I, Béchet DM, Begley TJ, Behl C, Behrends C, Bekri S, Bellaire B, Bendall LJ, Benetti L, Berliocchi L, Bernardi H, Bernassola F, Besteiro S, Bhatia-Kissova I, Bi X, Biard-Piechaczyk M, Blum JS, Boise LH, Bonaldo P, Boone DL, Bornhauser BC, Bortoluci KR, Bossis I, Bost F, Bourquin JP, Boya P, Boyer-Guittaut M, Bozhkov PV, Brady NR, Brancolini C, Brech A, Brenman JE, Brennand A, Bresnick EH, Brest P, Bridges D, Bristol ML, Brookes PS, Brown EJ, Brumell JH, Brunetti-Pierri N, Brunk UT, Bulman DE, Bultman SJ, Bultynck G, Burbulla LF, Bursch W, Butchar JP, Buzgariu W, Bydlowski SP, Cadwell K, Cahová M, Cai D, Cai J, Cai Q, Calabretta B, Calvo-Garrido J, Camougrand N, Campanella M, Campos-Salinas J, Candi E, Cao L, Caplan AB, Carding SR, Cardoso SM, Carew JS, Carlin CR, Carmignac V, Carneiro LA, Carra S, Caruso RA, Casari G, Casas C, Castino R, Cebollero E, Cecconi F, Celli J, Chaachouay H, Chae HJ, Chai CY, Chan DC, Chan EY, Chang RC, Che CM, Chen CC, Chen GC, Chen GQ, Chen M, Chen Q, Chen SS, Chen W, Chen X, Chen X, Chen X, Chen YG, Chen Y, Chen Y, Chen YJ, Chen Z, Cheng A, Cheng CH, Cheng Y, Cheong H, Cheong JH, Cherry S, Chess-Williams R, Cheung ZH, Chevet E, Chiang HL, Chiarelli R, Chiba T, Chin LS, Chiou SH, Chisari FV, Cho CH, Cho DH, Choi AM, Choi D, Choi KS, Choi ME, Chouaib S, Choubey D, Choubey V, Chu CT, Chuang TH, Chueh SH, Chun T, Chwae YJ, Chye ML, Ciarcia R, Ciriolo MR, Clague MJ, Clark RS, Clarke PG, Clarke R, Codogno P, Coller HA, Colombo MI, Comincini S, Condello M, Condorelli F, Cookson MR, Coombs GH, Coppens I, Corbalan R, Cossart P, Costelli P, Costes S, Coto-Montes A, Couve E, Coxon FP, Cregg JM, Crespo JL, Cronjé MJ, Cuervo AM, Cullen JJ, Czaja MJ, D'Amelio M, Darfeuille-Michaud A, Davids LM, Davies FE, De Felici M, de Groot JF, de Haan CA, De Martino L, De Milito A, De Tata V, Debnath J, Degterev A, Dehay B, Delbridge LM, Demarchi F, Deng YZ, Dengjel J, Dent P, Denton D, Deretic V, Desai SD, Devenish RJ, Di Gioacchino M, Di Paolo G, Di Pietro C, Díaz-Araya G, Díaz-Laviada I, Diaz-Meco MT, Diaz-Nido J, Dikic I, Dinesh-Kumar SP, Ding WX, Distelhorst CW, Diwan A, Djavaheri-Mergny M, Dokudovskaya S, Dong Z, Dorsey FC, Dosenko V, Dowling JJ, Doxsey S, Dreux M, Drew ME, Duan Q, Duchosal MA, Duff K, Dugail I, Durbeej M, Duszenko M, Edelstein CL, Edinger AL, Egea G, Eichinger L, Eissa NT, Ekmekcioglu S, El-Deiry WS, Elazar Z, Elgendy M, Ellerby LM, Eng KE, Engelbrecht AM, Engelender S, Erenpreisa J, Escalante R, Esclatine A, Eskelinen EL, Espert L, Espina V, Fan H, Fan J, Fan QW, Fan Z, Fang S, Fang Y, Fanto M, Fanzani A, Farkas T, Farré JC, Faure M, Fechheimer M, Feng CG, Feng J, Feng Q, Feng Y, Fésüs L, Feuer R, Figueiredo-Pereira ME, Fimia GM, Fingar DC, Finkbeiner S, Finkel T, Finley KD, Fiorito F, Fisher EA, Fisher PB, Flajolet M, Florez-McClure ML, Florio S, Fon EA, Fornai F, Fortunato F, Fotedar R, Fowler DH, Fox HS, Franco R, Frankel LB, Fransen M, Fuentes JM, Fueyo J, Fujii J, Fujisaki K, Fujita E, Fukuda M, Furukawa RH, Gaestel M, Gailly P, Gajewska M, Galliot B, Galy V, Ganesh S, Ganetzky B, Ganley IG, Gao FB, Gao GF, Gao J, Garcia L, Garcia-Manero G, Garcia-Marcos M, Garmyn M, Gartel AL, Gatti E, Gautel M, Gawriluk TR, Gegg ME, Geng J, Germain M, Gestwicki JE, Gewirtz DA, Ghavami S, Ghosh P, Giammarioli AM, Giatromanolaki AN, Gibson SB, Gilkerson RW, Ginger ML, Ginsberg HN, Golab J, Goligorsky MS, Golstein P, Gomez-Manzano C, Goncu E, Gongora C, Gonzalez CD, Gonzalez R, González-Estévez C, González-Polo RA, Gonzalez-Rey E, Gorbunov NV, Gorski S, Goruppi S, Gottlieb RA, Gozuacik D, Granato GE, Grant GD, Green KN, Gregorc A, Gros F, Grose C, Grunt TW, Gual P, Guan JL, Guan KL, Guichard SM, Gukovskaya AS, Gukovsky I, Gunst J, Gustafsson AB, Halayko AJ, Hale AN, Halonen SK, Hamasaki M, Han F, Han T, Hancock MK, Hansen M, Harada H, Harada M, Hardt SE, Harper JW, Harris AL, Harris J, Harris SD, Hashimoto M, Haspel JA, Hayashi S, Hazelhurst LA, He C, He YW, Hébert MJ, Heidenreich KA, Helfrich MH, Helgason GV, Henske EP, Herman B, Herman PK, Hetz C, Hilfiker S, Hill JA, Hocking LJ, Hofman P, Hofmann TG, Höhfeld J, Holyoake TL, Hong MH, Hood DA, Hotamisligil GS, Houwerzijl EJ, Høyer-Hansen M, Hu B, Hu CA, Hu HM, Hua Y, Huang C, Huang J, Huang S, Huang WP, Huber TB, Huh WK, Hung TH, Hupp TR, Hur GM, Hurley JB, Hussain SN, Hussey PJ, Hwang JJ, Hwang S, Ichihara A, Ilkhanizadeh S, Inoki K, Into T, Iovane V, Iovanna JL, Ip NY, Isaka Y, Ishida H, Isidoro C, Isobe K, Iwasaki A, Izquierdo M, Izumi Y, Jaakkola PM, Jäättelä M, Jackson GR, Jackson WT, Janji B, Jendrach M, Jeon JH, Jeung EB, Jiang H, Jiang H, Jiang JX, Jiang M, Jiang Q, Jiang X, Jiang X, Jiménez A, Jin M, Jin S, Joe CO, Johansen T, Johnson DE, Johnson GV, Jones NL, Joseph B, Joseph SK, Joubert AM, Juhász G, Juillerat-Jeanneret L, Jung CH, Jung YK, Kaarniranta K, Kaasik A, Kabuta T, Kadowaki M, Kagedal K, Kamada Y, Kaminskyy VO, Kampinga HH, Kanamori H, Kang C, Kang KB, Kang KI, Kang R, Kang YA, Kanki T, Kanneganti TD, Kanno H, Kanthasamy AG, Kanthasamy A, Karantza V, Kaushal GP, Kaushik S, Kawazoe Y, Ke PY, Kehrl JH, Kelekar A, Kerkhoff C, Kessel DH, Khalil H, Kiel JA, Kiger AA, Kihara A, Kim DR, Kim DH, Kim DH, Kim EK, Kim HR, Kim JS, Kim JH, Kim JC, Kim JK, Kim PK, Kim SW, Kim YS, Kim Y, Kimchi A, Kimmelman AC, King JS, Kinsella TJ, Kirkin V, Kirshenbaum LA, Kitamoto K, Kitazato K, Klein L, Klimecki WT, Klucken J, Knecht E, Ko BC, Koch JC, Koga H, Koh JY, Koh YH, Koike M, Komatsu M, Kominami E, Kong HJ, Kong WJ, Korolchuk VI, Kotake Y, Koukourakis MI, Kouri Flores JB, Kovács AL, Kraft C, Krainc D, Krämer H, Kretz-Remy C, Krichevsky AM, Kroemer G, Krüger R, Krut O, Ktistakis NT, Kuan CY, Kucharczyk R, Kumar A, Kumar R, Kumar S, Kundu M, Kung HJ, Kurz T, Kwon HJ, La Spada AR, Lafont F, Lamark T, Landry J, Lane JD, Lapaquette P, Laporte JF, László L, Lavandero S, Lavoie JN, Layfield R, Lazo PA, Le W, Le Cam L, Ledbetter DJ, Lee AJ, Lee BW, Lee GM, Lee J, Lee JH, Lee M, Lee MS, Lee SH, Leeuwenburgh C, Legembre P, Legouis R, Lehmann M, Lei HY, Lei QY, Leib DA, Leiro J, Lemasters JJ, Lemoine A, Lesniak MS, Lev D, Levenson VV, Levine B, Levy E, Li F, Li JL, Li L, Li S, Li W, Li XJ, Li YB, Li YP, Liang C, Liang Q, Liao YF, Liberski PP, Lieberman A, Lim HJ, Lim KL, Lim K, Lin CF, Lin FC, Lin J, Lin JD, Lin K, Lin WW, Lin WC, Lin YL, Linden R, Lingor P, Lippincott-Schwartz J, Lisanti MP, Liton PB, Liu B, Liu CF, Liu K, Liu L, Liu QA, Liu W, Liu YC, Liu Y, Lockshin RA, Lok CN, Lonial S, Loos B, Lopez-Berestein G, López-Otín C, Lossi L, Lotze MT, Lőw P, Lu B, Lu B, Lu B, Lu Z, Luciano F, Lukacs NW, Lund AH, Lynch-Day MA, Ma Y, Macian F, MacKeigan JP, Macleod KF, Madeo F, Maiuri L, Maiuri MC, Malagoli D, Malicdan MC, Malorni W, Man N, Mandelkow EM, Manon S, Manov I, Mao K, Mao X, Mao Z, Marambaud P, Marazziti D, Marcel YL, Marchbank K, Marchetti P, Marciniak SJ, Marcondes M, Mardi M, Marfe G, Mariño G, Markaki M, Marten MR, Martin SJ, Martinand-Mari C, Martinet W, Martinez-Vicente M, Masini M, Matarrese P, Matsuo S, Matteoni R, Mayer A, Mazure NM, McConkey DJ, McConnell MJ, McDermott C, McDonald C, McInerney GM, McKenna SL, McLaughlin B, McLean PJ, McMaster CR, McQuibban GA, Meijer AJ, Meisler MH, Meléndez A, Melia TJ, Melino G, Mena MA, Menendez JA, Menna-Barreto RF, Menon MB, Menzies FM, Mercer CA, Merighi A, Merry DE, Meschini S, Meyer CG, Meyer TF, Miao CY, Miao JY, Michels PA, Michiels C, Mijaljica D, Milojkovic A, Minucci S, Miracco C, Miranti CK, Mitroulis I, Miyazawa K, Mizushima N, Mograbi B, Mohseni S, Molero X, Mollereau B, Mollinedo F, Momoi T, Monastyrska I, Monick MM, Monteiro MJ, Moore MN, Mora R, Moreau K, Moreira PI, Moriyasu Y, Moscat J, Mostowy S, Mottram JC, Motyl T, Moussa CE, Müller S, Muller S, Münger K, Münz C, Murphy LO, Murphy ME, Musarò A, Mysorekar I, Nagata E, Nagata K, Nahimana A, Nair U, Nakagawa T, Nakahira K, Nakano H, Nakatogawa H, Nanjundan M, Naqvi NI, Narendra DP, Narita M, Navarro M, Nawrocki ST, Nazarko TY, Nemchenko A, Netea MG, Neufeld TP, Ney PA, Nezis IP, Nguyen HP, Nie D, Nishino I, Nislow C, Nixon RA, Noda T, Noegel AA, Nogalska A, Noguchi S, Notterpek L, Novak I, Nozaki T, Nukina N, Nürnberger T, Nyfeler B, Obara K, Oberley TD, Oddo S, Ogawa M, Ohashi T, Okamoto K, Oleinick NL, Oliver FJ, Olsen LJ, Olsson S, Opota O, Osborne TF, Ostrander GK, Otsu K, Ou JH, Ouimet M, Overholtzer M, Ozpolat B, Paganetti P, Pagnini U, Pallet N, Palmer GE, Palumbo C, Pan T, Panaretakis T, Pandey UB, Papackova Z, Papassideri I, Paris I, Park J, Park OK, Parys JB, Parzych KR, Patschan S, Patterson C, Pattingre S, Pawelek JM, Peng J, Perlmutter DH, Perrotta I, Perry G, Pervaiz S, Peter M, Peters GJ, Petersen M, Petrovski G, Phang JM, Piacentini M, Pierre P, Pierrefite-Carle V, Pierron G, Pinkas-Kramarski R, Piras A, Piri N, Platanias LC, Pöggeler S, Poirot M, Poletti A, Poüs C, Pozuelo-Rubio M, Prætorius-Ibba M, Prasad A, Prescott M, Priault M, Produit-Zengaffinen N, Progulske-Fox A, Proikas-Cezanne T, Przedborski S, Przyklenk K, Puertollano R, Puyal J, Qian SB, Qin L, Qin ZH, Quaggin SE, Raben N, Rabinowich H, Rabkin SW, Rahman I, Rami A, Ramm G, Randall G, Randow F, Rao VA, Rathmell JC, Ravikumar B, Ray SK, Reed BH, Reed JC, Reggiori F, Régnier-Vigouroux A, Reichert AS, Reiners JJ Jr, Reiter RJ, Ren J, Revuelta JL, Rhodes CJ, Ritis K, Rizzo E, Robbins J, Roberge M, Roca H, Roccheri MC, Rocchi S, Rodemann HP, Rodríguez de Córdoba S, Rohrer B, Roninson IB, Rosen K, Rost-Roszkowska MM, Rouis M, Rouschop KM, Rovetta F, Rubin BP, Rubinsztein DC, Ruckdeschel K, Rucker EB 3rd, Rudich A, Rudolf E, Ruiz-Opazo N, Russo R, Rusten TE, Ryan KM, Ryter SW, Sabatini DM, Sadoshima J, Saha T, Saitoh T, Sakagami H, Sakai Y, Salekdeh GH, Salomoni P, Salvaterra PM, Salvesen G, Salvioli R, Sanchez AM, Sánchez-Alcázar JA, Sánchez-Prieto R, Sandri M, Sankar U, Sansanwal P, Santambrogio L, Saran S, Sarkar S, Sarwal M, Sasakawa C, Sasnauskiene A, Sass M, Sato K, Sato M, Schapira AH, Scharl M, Schätzl HM, Scheper W, Schiaffino S, Schneider C, Schneider ME, Schneider-Stock R, Schoenlein PV, Schorderet DF, Schüller C, Schwartz GK, Scorrano L, Sealy L, Seglen PO, Segura-Aguilar J, Seiliez I, Seleverstov O, Sell C, Seo JB, Separovic D, Setaluri V, Setoguchi T, Settembre C, Shacka JJ, Shanmugam M, Shapiro IM, Shaulian E, Shaw RJ, Shelhamer JH, Shen HM, Shen WC, Sheng ZH, Shi Y, Shibuya K, Shidoji Y, Shieh JJ, Shih CM, Shimada Y, Shimizu S, Shintani T, Shirihai OS, Shore GC, Sibirny AA, Sidhu SB, Sikorska B, Silva-Zacarin EC, Simmons A, Simon AK, Simon HU, Simone C, Simonsen A, Sinclair DA, Singh R, Sinha D, Sinicrope FA, Sirko A, Siu PM, Sivridis E, Skop V, Skulachev VP, Slack RS, Smaili SS, Smith DR, Soengas MS, Soldati T, Song X, Sood AK, Soong TW, Sotgia F, Spector SA, Spies CD, Springer W, Srinivasula SM, Stefanis L, Steffan JS, Stendel R, Stenmark H, Stephanou A, Stern ST, Sternberg C, Stork B, Strålfors P, Subauste CS, Sui X, Sulzer D, Sun J, Sun SY, Sun ZJ, Sung JJ, Suzuki K, Suzuki T, Swanson MS, Swanton C, Sweeney ST, Sy LK, Szabadkai G, Tabas I, Taegtmeyer H, Tafani M, Takács-Vellai K, Takano Y, Takegawa K, Takemura G, Takeshita F, Talbot NJ, Tan KS, Tanaka K, Tanaka K, Tang D, Tang D, Tanida I, Tannous BA, Tavernarakis N, Taylor GS, Taylor GA, Taylor JP, Terada LS, Terman A, Tettamanti G, Thevissen K, Thompson CB, Thorburn A, Thumm M, Tian F, Tian Y, Tocchini-Valentini G, Tolkovsky AM, Tomino Y, Tönges L, Tooze SA, Tournier C, Tower J, Towns R, Trajkovic V, Travassos LH, Tsai TF, Tschan MP, Tsubata T, Tsung A, Turk B, Turner LS, Tyagi SC, Uchiyama Y, Ueno T, Umekawa M, Umemiya-Shirafuji R, Unni VK, Vaccaro MI, Valente EM, Van den Berghe G, van der Klei IJ, van Doorn W, van Dyk LF, van Egmond M, van Grunsven LA, Vandenabeele P, Vandenberghe WP, Vanhorebeek I, Vaquero EC, Velasco G, Vellai T, Vicencio JM, Vierstra RD, Vila M, Vindis C, Viola G, Viscomi MT, Voitsekhovskaja OV, von Haefen C, Votruba M, Wada K, Wade-Martins R, Walker CL, Walsh CM, Walter J, Wan XB, Wang A, Wang C, Wang D, Wang F, Wang F, Wang G, Wang H, Wang HG, Wang HD, Wang J, Wang K, Wang M, Wang RC, Wang X, Wang X, Wang YJ, Wang Y, Wang Z, Wang ZC, Wang Z, Wansink DG, Ward DM, Watada H, Waters SL, Webster P, Wei L, Weihl CC, Weiss WA, Welford SM, Wen LP, Whitehouse CA, Whitton JL, Whitworth AJ, Wileman T, Wiley JW, Wilkinson S, Willbold D, Williams RL, Williamson PR, Wouters BG, Wu C, Wu DC, Wu WK, Wyttenbach A, Xavier RJ, Xi Z, Xia P, Xiao G, Xie Z, Xie Z, Xu DZ, Xu J, Xu L, Xu X, Yamamoto A, Yamamoto A, Yamashina S, Yamashita M, Yan X, Yanagida M, Yang DS, Yang E, Yang JM, Yang SY, Yang W, Yang WY, Yang Z, Yao MC, Yao TP, Yeganeh B, Yen WL, Yin JJ, Yin XM, Yoo OJ, Yoon G, Yoon SY, Yorimitsu T, Yoshikawa Y, Yoshimori T, Yoshimoto K, You HJ, Youle RJ, Younes A, Yu L, Yu L, Yu SW, Yu WH, Yuan ZM, Yue Z, Yun CH, Yuzaki M, Zabirnyk O, Silva-Zacarin E, Zacks D, Zacksenhaus E, Zaffaroni N, Zakeri Z, Zeh HJ 3rd, Zeitlin SO, Zhang H, Zhang HL, Zhang J, Zhang JP, Zhang L, Zhang L, Zhang MY, Zhang XD, Zhao M, Zhao YF, Zhao Y, Zhao ZJ, Zheng X, Zhivotovsky B, Zhong Q, Zhou CZ, Zhu C, Zhu WG, Zhu XF, Zhu X, Zhu Y, Zoladek T, Zong WX, Zorzano A, Zschocke J, and Zuckerbraun B
- Subjects
- Animals, Humans, Models, Biological, Autophagy genetics, Biological Assay methods
- Abstract
In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field.
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- 2012
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13. Interaction of the ARF tumor suppressor with cytosolic HSP70 contributes to its autophagy function.
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Pimkina J and Murphy ME
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- Animals, Cell Line, Cell Survival drug effects, Cyclin-Dependent Kinase Inhibitor p16 genetics, Cytosol metabolism, Gene Knockdown Techniques, Gene Knockout Techniques, HSP70 Heat-Shock Proteins antagonists & inhibitors, Humans, Immunoprecipitation, Mice, Mitochondria metabolism, Mitochondrial Proteins antagonists & inhibitors, Protein Binding, Protein Transport, RNA Interference, Sulfonamides pharmacology, Tumor Suppressor Protein p53 genetics, Tumor Suppressor Protein p53 metabolism, Autophagy, Cyclin-Dependent Kinase Inhibitor p16 metabolism, HSP70 Heat-Shock Proteins metabolism, Mitochondrial Proteins metabolism, Tumor Suppressor Protein p14ARF metabolism
- Abstract
The p14/p19 (ARF) (ARF) tumor suppressor gene is frequently mutated in human cancer. Recently ARF has been shown to localize to mitochondria and to induce autophagy. However the controls that regulate the trafficking of ARF to mitochondria remain unknown. We recently reported that 2-phenylethynesulfonamide (PES) selectively interacts with cytosolic heat shock protein 70 (HSP70) and inhibits its function; we further showed that PES promotes the death of tumor cells, and that this is associated with an impairment of lysosome function and an inhibition of autophagy. In the present work we used a mass spectrometry-based approach to identify mitochondrial ARF-binding proteins. We report that mitochondrial ARF interacts with HSP70. We show that treatment of cells with PES blocks the trafficking of ARF to mitochondria, indicating that interaction with HSP70 mediates the mitochondrial localization of ARF. We also show that PES inhibits the ability of ARF to induce autophagy, supporting the premise that localization to this organelle is critical for ARF-induced autophagy. Finally, we report that cells expressing high levels of ARF are more sensitive to PES than counterparts with ARF silenced. High levels of ARF are characteristic of tumor cells with enhanced MAPK signaling and advanced stage; therefore, these data support the premise that PES may show preferential cytotoxicity to advanced stage cancers.
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- 2011
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14. Tissue-specific apoptotic effects of the p53 codon 72 polymorphism in a mouse model.
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Azzam GA, Frank AK, Hollstein M, and Murphy ME
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- Animals, Gene Knock-In Techniques methods, Genome-Wide Association Study, Humans, Mice, Mice, Mutant Strains, Neoplasms epidemiology, Polymorphism, Genetic genetics, Risk Factors, Tissue Distribution genetics, Tumor Suppressor Protein p53 metabolism, Apoptosis genetics, Codon genetics, Disease Models, Animal, Neoplasms genetics, Neoplasms pathology, Tumor Suppressor Protein p53 genetics
- Abstract
Currently there are several dozen human polymorphisms that have been loosely associated with cancer risk. Correlating such variants with cancer risk has been challenging, primarily due to factors such as genetic heterogeneity, contributions of diet and environmental factors, and the difficulty in obtaining large sample sizes for analysis. Such difficulties can be circumvented with the establishment of mouse models for human variants. Recently, several groups have modeled human cancer susceptibility polymorphisms in the mouse. Remarkably, in each case these mouse models have accurately reflected human phenotypes, and clarified the contribution of these variants to cancer risk. We recently reported on a mouse model for the codon 72 polymorphism in p53, and found that this polymorphism regulates the ability to cooperate with NF-kB and induce apoptosis. Here-in we present evidence that this polymorphism impacts the apoptotic function of p53 in a tissue-specific manner; such tissue-specific effects of polymorphic variants represent an added challenge to human cancer risk association studies. The data presented here support the premise that modeling human polymorphisms in the mouse represents a powerful tool to assess the impact of these variants on cancer risk, progression and therapy.
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- 2011
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15. Wild-type and mutant p53 proteins interact with mitochondrial caspase-3.
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Frank AK, Pietsch EC, Dumont P, Tao J, and Murphy ME
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- Amino Acid Sequence, Cell Line, Humans, Molecular Sequence Data, Protein Binding physiology, Protein Transport, Caspase 3 metabolism, Mitochondria metabolism, Mutant Proteins metabolism, Tumor Suppressor Protein p53 metabolism
- Abstract
Caspases play a key role in the apoptotic pathway by virtue of their ability to cleave key protein substrates within the dying cell. Caspases are produced as inactive zymogens, and need to become proteolytically processed in order to become active. A key executioner caspase, caspase-3, has previously been found to exist in both the cytosol and the mitochondria. At the mitochondria, caspase-3 is associated with both the inner and outer mitochondrial membranes, where it interacts with heat shock proteins Hsp60 and Hsp10. Like caspase-3, a small portion of the p53 tumor suppressor protein is localized to mitochondria, particularly after genotoxic stress. p53 interacts with various members of the Bcl2 family at the mitochondria, and this interaction is key to its ability to induce apoptosis. In this study, we sought to determine the identity of other mitochondrial p53-interacting proteins. Using immunoprecipitation from purified mitochondria followed by mass spectrometry we identified caspase-3 as a mitochondrial p53-interacting protein. Interestingly, we find that tumor-derived mutant forms of p53 retain the ability to interact with mitochondrial caspase-3. Further, we find evidence that these mutant forms of p53 may interfere with the ability of procaspase-3 to become proteolytically activated by caspase-9. The combined data suggest that tumor-derived mutants of p53 may be selected for in tumor cells due to their ability to bind and inhibit the activation of caspase-3.
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- 2011
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16. The codon 72 polymorphism of p53 regulates interaction with NF-{kappa}B and transactivation of genes involved in immunity and inflammation.
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Frank AK, Leu JI, Zhou Y, Devarajan K, Nedelko T, Klein-Szanto A, Hollstein M, and Murphy ME
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- Animals, Apoptosis, Caspases genetics, Caspases, Initiator, Cells, Cultured, Fibroblasts metabolism, Gene Knock-In Techniques, Immunity, Inflammation genetics, Mice, Mice, Inbred C57BL, NF-kappa B immunology, Thymus Gland cytology, Thymus Gland metabolism, Transcription Factor RelA metabolism, Tumor Suppressor Protein p53 immunology, ras Proteins genetics, NF-kappa B metabolism, Polymorphism, Genetic, Transcriptional Activation, Tumor Suppressor Protein p53 genetics, Tumor Suppressor Protein p53 metabolism
- Abstract
A common polymorphism at codon 72 in the p53 tumor suppressor gene encodes either proline (P72) or arginine (R72). Several groups have reported that in cultured cells, this polymorphism influences p53's transcriptional, senescence, and apoptotic functions. However, the impact of this polymorphism within the context of a living organism is poorly understood. We generated knock-in mice with the P72 and R72 variants and analyzed the tissues of these mice for apoptosis and transcription. In the thymus, we find that the P72 variant induces increased apoptosis following ionizing radiation, along with increased transactivation of a subset of p53 target genes, which includes murine Caspase 4 (also called Caspase 11), which we show is a direct p53 target gene. Interestingly, the majority of genes in this subset have roles in inflammation, and their promoters contain NF-κB binding sites. We show that caspase 4/11 requires both p53 and NF-κB for full induction after DNA damage and that the P72 variant shows increased interaction with p65 RelA, a subunit of NF-κB. Consistent with this, we show that P72 mice have a markedly enhanced response to inflammatory challenge compared to that of R72 mice. Our data indicate that the codon 72 polymorphism impacts p53's role in inflammation.
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- 2011
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17. p53, transcriptional, and drug sensitivity: fresh perspectives on an old activity.
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Murphy ME
- Subjects
- Animals, Antineoplastic Agents therapeutic use, Base Pairing, Cell Cycle Proteins antagonists & inhibitors, Cell Cycle Proteins genetics, Cell Cycle Proteins metabolism, Cell Division, DNA Damage, G2 Phase, Gene Expression Regulation, Mitosis, Promoter Regions, Genetic, Protein Binding, Protein Serine-Threonine Kinases antagonists & inhibitors, Protein Serine-Threonine Kinases genetics, Protein Serine-Threonine Kinases metabolism, Proto-Oncogene Proteins antagonists & inhibitors, Proto-Oncogene Proteins genetics, Proto-Oncogene Proteins metabolism, Transcription, Genetic, Tumor Suppressor Protein p53 genetics, cdc25 Phosphatases metabolism, Polo-Like Kinase 1, Repressor Proteins metabolism, Tumor Suppressor Protein p53 metabolism
- Published
- 2010
- Full Text
- View/download PDF
18. ARF, autophagy and tumor suppression.
- Author
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Pimkina J and Murphy ME
- Subjects
- ADP-Ribosylation Factor 1 metabolism, Animals, Antineoplastic Agents pharmacology, Autophagy genetics, Chloroquine pharmacology, Gene Silencing, Genes, p53, Humans, Mice, Models, Biological, Neoplasm Transplantation, Tumor Suppressor Protein p53 metabolism, Tumor Suppressor Proteins metabolism, ADP-Ribosylation Factor 1 physiology, Neoplasms metabolism
- Abstract
Autophagy plays a critical role in the initiation and progression of tumors. The exact nature of this role, however, is complex. Autophagy is suppressive to tumor initiation, and reduces genomic instability. Genes with key roles in autophagy are mutated in human cancer, and knockout mice for certain autophagy genes are predisposed to cancer. Conversely, established tumors appear to utilize autophagy in order to survive periods of metabolic or hypoxic stress. Consistent with this, small molecule inhibitors of autophagy like chloroquine are effective anticancer agents for certain tumor types. The consensus appears to be that autophagy suppresses tumor initiation, but promotes the survival of established tumors. But this premise may be over-simplified. Several groups have recently shown that the ARF tumor suppressor can induce autophagy. While some groups have found that ARF-mediated autophagy is cytotoxic to tumor cells, we have shown that ARF's autophagy function may promote the survival and progression of certain tumors. We have previously shown that silencing ARF limits autophagy and the development of p53-null lymphomas. In this addendum, we show this is not true for primary p53-null sarcoma cells. Rather, ARF-silencing enhances sarcoma development. These data suggest that the survival-benefit of ARF, and possibly also of autophagy, may be restricted to certain tumor types.
- Published
- 2009
- Full Text
- View/download PDF
19. Low risk HPV-E6 traps p53 in the cytoplasm and induces p53-dependent apoptosis.
- Author
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Pietsch EC and Murphy ME
- Subjects
- Cytoplasm metabolism, Cytoplasm virology, Human papillomavirus 6 physiology, Humans, Papillomavirus Infections epidemiology, Papillomavirus Infections metabolism, Papillomavirus Infections pathology, Risk Assessment, Tumor Suppressor Protein p53 genetics, Tumor Suppressor Protein p53 metabolism, Human papillomavirus 6 genetics, Oncogene Proteins, Viral metabolism
- Published
- 2008
- Full Text
- View/download PDF
20. The tetramerization domain of p53 is required for efficient BAK oligomerization.
- Author
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Pietsch EC, Leu JI, Frank A, Dumont P, George DL, and Murphy ME
- Subjects
- Animals, Apoptosis, Cell Line, Tumor, Embryo, Mammalian cytology, Embryo, Mammalian microbiology, Fibroblasts metabolism, Humans, Mice, Mice, Mutant Strains, Mitochondria chemistry, Mutation, Protein Structure, Tertiary, Sequence Deletion, Tumor Suppressor Protein p53 analysis, Tumor Suppressor Protein p53 genetics, bcl-2 Homologous Antagonist-Killer Protein genetics, Mitochondria metabolism, Tumor Suppressor Protein p53 metabolism, bcl-2 Homologous Antagonist-Killer Protein metabolism
- Abstract
In addition to a well-defined transcriptional activity that is necessary for efficient apoptosis induction, the p53 tumor suppressor also has a direct apoptogenic role at the mitochondria. This direct role in cell death is mediated at least in part by interaction of p53 with BCL2 family members, including the pro-apoptotic protein BAK. Whereas it is currently accepted that the mitochondrial function of p53 contributes to its tumor suppressive role, the regulation of p53 function at this organelle is poorly understood. In this manuscript we examine the role of p53 oligomerization in the regulation of its pro-apoptotic function at the mitochondria, specifically in regard to its ability to induce BAK oligomerization. We find that deletion or mutation of p53's oligomerization domain markedly impairs the ability of this protein to oligomerize BAK. Along these lines, cross-linking studies indicate that the majority of p53 localized to mitochondria is in dimeric or higher-order oligomeric form. In support of the importance of the p53-BAK interaction in the localization of p53 to mitochondria, we find that mouse embryo fibroblasts from the BAK null mouse have greatly reduced mitochondrial p53 compared to wild type fibroblasts. These data indicate that pro-apoptotic BAK, unlike other BCL2 family members, may serve as a major receptor for p53 on the mitochondria.
- Published
- 2007
- Full Text
- View/download PDF
21. The ARF/oncogene pathway activates p53 acetylation within the DNA binding domain.
- Author
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Mellert H, Sykes SM, Murphy ME, and McMahon SB
- Subjects
- Acetylation, Animals, Binding Sites, Cell Line, Cell Transformation, Neoplastic genetics, Cyclin-Dependent Kinase Inhibitor p16 genetics, DNA metabolism, DNA Damage, Doxycycline pharmacology, Genes, p53, Histone Acetyltransferases metabolism, Humans, Lysine metabolism, Lysine Acetyltransferase 5, Mice, Phosphatidylethanolamines, Protein Binding, Protein Structure, Tertiary, Recombinant Fusion Proteins physiology, Stress, Physiological genetics, Stress, Physiological metabolism, Tumor Suppressor Protein p53 chemistry, Cyclin-Dependent Kinase Inhibitor p16 physiology, Protein Processing, Post-Translational physiology, Tumor Suppressor Protein p53 metabolism
- Abstract
Stabilization of the p53 tumor suppressor is a critical event in the response to various forms of cellular stress. Two distinct signaling pathways are thought to lead to this stabilization, depending on the type of cellular stress encountered. Genotoxic stress, such as chromosomal breaks or lesions induced by chemotherapeutic agents, result in the activation of the well-characterized DNA damage response pathway. Conversely, cellular stress that results from the aberrant activation of oncogenes triggers p53 stabilization via the induction of the p19ARF pathway. While activation of the DNA damage pathway ultimately causes a complex array of post-translational modifications on p53, few if any modifications have been demonstrated to occur following activation of the p19ARF pathway. We and others have recently identified a novel modification on p53, acetylation of lysine 120 within the DNA binding domain. This acetylation event is eliminated by tumor-derived mutations in p53 and its presence is required for the tumor suppressor apoptotic function of p53. We demonstrate here that both the DNA damage response pathway and the p19ARF/oncogene stress pathway induce the acetylation of p53 at lysine 120.
- Published
- 2007
- Full Text
- View/download PDF
22. A novel cancer therapy approach targeting microtubule function.
- Author
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Murphy ME and Cassimeris L
- Subjects
- Gene Expression Regulation, Neoplastic, Humans, Microtubules physiology, Neoplasms therapy, RNA, Small Interfering genetics, Stathmin genetics
- Published
- 2006
- Full Text
- View/download PDF
23. p53 moves to mitochondria: a turn on the path to apoptosis.
- Author
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Murphy ME, Leu JI, and George DL
- Subjects
- Cytochromes c metabolism, Humans, Mitochondria genetics, Neoplasms genetics, Protein Isoforms genetics, Protein Isoforms metabolism, Protein Transport physiology, Stress, Physiological genetics, Tumor Suppressor Protein p53 genetics, bcl-2 Homologous Antagonist-Killer Protein metabolism, Apoptosis physiology, Mitochondria metabolism, Neoplasms metabolism, Stress, Physiological metabolism, Tumor Suppressor Protein p53 metabolism
- Abstract
It has been said that no matter which direction cancer research turns, the p53 tumor suppressor protein comes into view. The widespread role of p53 as a suppressor of tumor development is believed to rely on its ability to induce programmed cell death in response to stress, either the replicative stress associated with uncontrolled cellular proliferation, or the environmental stresses that accompany tumor development, such as hypoxia. For some time it has been believed that the role of p53 in inducing apoptosis in response to such stress was as a master regulator coordinating the expression of other molecules whose ultimate role was the execution of the cell. New data, however, suggest that p53 itself also has a direct role in accomplishing cell death, at the mitochondria.
- Published
- 2004
24. p53 differentially inhibits cell growth depending on the mechanism of telomere maintenance.
- Author
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Razak ZR, Varkonyi RJ, Kulp-McEliece M, Caslini C, Testa JR, Murphy ME, and Broccoli D
- Subjects
- Alleles, Cell Line, DNA Replication, Humans, Mutation physiology, Recombination, Genetic, S Phase, Transfection, Tumor Suppressor Protein p53 genetics, Tumor Suppressor Protein p53 metabolism, Cell Division genetics, Telomere metabolism, Tumor Suppressor Protein p53 physiology
- Abstract
Telomere stabilization is critical for tumorigenesis. A number of tumors and cell lines use a recombination-based mechanism, alternative lengthening of telomeres (ALT), to maintain telomere repeat arrays. Current data suggest that the mutation of p53 facilitates the activation of this pathway. In addition to its functions in response to DNA damage, p53 also acts to suppress recombination, independent of transactivation activity, raising the possibility that p53 might regulate the ALT mechanism via its role as a regulator of recombination. To test the role of p53 in ALT we utilized inducible alleles of human p53. We show that expression of transactivation-incompetent p53 inhibits DNA synthesis in ALT cell lines but does not affect telomerase-positive cell lines. The expression of temperature-sensitive p53 in clonal cell lines results in ALT-specific, transactivation-independent growth inhibition, due in part to the perturbation of S phase. Utilizing chromatin immunoprecipitation assays, we demonstrate that p53 is associated with the telomeric complex in ALT cells. Furthermore, the inhibition of DNA synthesis in ALT cells by p53 requires intact specific DNA binding and suppression of recombination functions. We propose that p53 causes transactivation-independent growth inhibition of ALT cells by perturbing telomeric recombination.
- Published
- 2004
- Full Text
- View/download PDF
25. The thousand doors that lead to death: p53-dependent repression and apoptosis.
- Author
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Murphy ME
- Subjects
- Antineoplastic Agents pharmacology, Apoptosis drug effects, Clusterin, Complement Inactivator Proteins metabolism, Cytoplasm, DNA Damage drug effects, Gamma Rays, Glycoproteins antagonists & inhibitors, Glycoproteins genetics, Humans, Molecular Chaperones antagonists & inhibitors, Molecular Chaperones genetics, Neoplasm Proteins antagonists & inhibitors, Neoplasm Proteins genetics, Neoplasm Proteins metabolism, Neoplasms genetics, Neoplasms metabolism, Promoter Regions, Genetic, RNA, Messenger drug effects, RNA, Messenger genetics, RNA, Messenger radiation effects, Transcription, Genetic drug effects, Transcription, Genetic radiation effects, Apoptosis radiation effects, DNA Damage radiation effects, Glycoproteins metabolism, Molecular Chaperones metabolism, Neoplasms pathology, Tumor Suppressor Protein p53 physiology
- Published
- 2003
- Full Text
- View/download PDF
26. Microarray expression profiling of p53-dependent transcriptional changes in an immortalized mouse embryo fibroblast cell line.
- Author
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Sax JK, Stoddard A, Murphy ME, Chodosh L, and El-Deiry WS
- Subjects
- Animals, Blotting, Northern, Cells, Cultured, Embryo, Mammalian, Mice, Oligonucleotide Array Sequence Analysis, Temperature, Cell Cycle genetics, Fibroblasts metabolism, Gene Expression Profiling, Gene Expression Regulation physiology, Proteins genetics, Tumor Suppressor Protein p53 genetics
- Abstract
The ability of p53 to transcriptionally regulate genes involved with cell cycle progression and apoptosis is critical to its role as a tumor suppressor. Although numerous p53 regulated genes have been identified over the last several years, ablation of any one of these genes cannot account for the full p53-mediated cellular response. Therefore, we performed microarray analysis using two related p53 temperature sensitive cell lines, Val5 and Vm10, to identify novel p53 regulated genes. The Val5 cells undergo p53-mediated cell cycle arrest and the Vm10 cells undergo p53-mediated apoptosis when p53 is in the wild-type conformation. By using these two cell lines, we can compare which genes are regulated by p53 in two different conditions as well as analyze which genes are common to both cell lines. Using the information obtained in the microarray analysis, we confirmed whether a small sub-set of the genes was regulated by p53 using northern blot analysis. By identifying and confirming the regulation of specific genes by p53, we can further characterize biologically why p53 transcriptionally regulates these genes.
- Published
- 2003
- Full Text
- View/download PDF
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