37 results on '"Chun, Hye-Jung"'
Search Results
2. Reversion to an embryonic alternative splicing program enhances leukemia stem cell self-renewal
- Author
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Holm, Frida, Hellqvist, Eva, Mason, Cayla N., Ali, Shawn A., Delos-Santos, Nathaniel, Barrett, Christian L., Chun, Hye-Jung, Minden, Mark D., Moore, Richard A., Marra, Marco A., Runza, Valeria, Frazer, Kelly A., Sadarangani, Anil, and Jamieson, Catriona H. M.
- Published
- 2015
3. ADAR1 promotes malignant progenitor reprogramming in chronic myeloid leukemia
- Author
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Jiang, Qingfei, Crews, Leslie A., Barrett, Christian L., Chun, Hye-Jung, Court, Angela C., Isquith, Jane M., Zipeto, Maria A., Goff, Daniel J., Minden, Mark, Sadarangani, Anil, Rusert, Jessica M., Dao, Kim-Hien T., Morris, Sheldon R., Goldstein, Lawrence S. B., Marra, Marco A., Frazer, Kelly A., and Jamieson, Catriona H. M.
- Published
- 2013
4. Comprehensive molecular characterization of gastric adenocarcinoma
- Author
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Bass, Adam J., Thorsson, Vesteinn, Shmulevich, Ilya, Reynolds, Sheila M., Miller, Michael, Bernard, Brady, Hinoue, Toshinori, Laird, Peter W., Curtis, Christina, Shen, Hui, Weisenberger, Daniel J., Schultz, Nikolaus, Shen, Ronglai, Weinhold, Nils, Kelsen, David P., Bowlby, Reanne, Chu, Andy, Kasaian, Katayoon, Mungall, Andrew J., Robertson, Gordon A., Sipahimalani, Payal, Cherniack, Andrew, Getz, Gad, Liu, Yingchun, Noble, Michael S., Pedamallu, Chandra, Sougnez, Carrie, Akbani, Rehan, Lee, Ju-Seog, Liu, Wenbin, Mills, Gordon B., Yang, Da, Zhang, Wei, Pantazi, Angeliki, Gulley, Margaret, Piazuelo, Blanca M., Schneider, Barbara G., Kim, Jihun, Boussioutas, Alex, Sheth, Margi, Demchok, John A., Rabkin, Charles S., Willis, Joseph E., Ng, Sam, Garman, Katherine, Beer, David G., Pennathur, Arjun, Raphael, Benjamin J., Wu, Hsin-Ta, Odze, Robert, Kim, Hark K., Bowen, Jay, Leraas, Kristen M., Lichtenberg, Tara M., Weaver, Stephanie, McLellan, Michael, Wiznerowicz, Maciej, Sakai, Ryo, Lawrence, Michael S., Cibulskis, Kristian, Lichtenstein, Lee, Fisher, Sheila, Gabriel, Stacey B., Lander, Eric S., Ding, Li, Niu, Beifang, Ally, Adrian, Balasundaram, Miruna, Birol, Inanc, Brooks, Denise, Butterfield, Yaron S. N., Carlsen, Rebecca, Chu, Justin, Chuah, Eric, Chun, Hye-Jung E., Clarke, Amanda, Dhalla, Noreen, Guin, Ranabir, Holt, Robert A., Jones, Steven J. M., Lee, Darlene, Li, Haiyan A., Lim, Emilia, Ma, Yussanne, Marra, Marco A., Mayo, Michael, Moore, Richard A., Mungall, Karen L., Nip, Ka Ming, Schein, Jacqueline E., Tam, Angela, Thiessen, Nina, Beroukhim, Rameen, Carter, Scott L., Cherniack, Andrew D., Cho, Juok, DiCara, Daniel, Frazer, Scott, Gehlenborg, Nils, Heiman, David I., Jung, Joonil, Kim, Jaegil, Lin, Pei, Meyerson, Matthew, Ojesina, Akinyemi I., Pedamallu, Chandra Sekhar, Saksena, Gordon, Schumacher, Steven E., Stojanov, Petar, Tabak, Barbara, Voet, Doug, Rosenberg, Mara, Zack, Travis I., Zhang, Hailei, Zou, Lihua, Protopopov, Alexei, Santoso, Netty, Parfenov, Michael, Lee, Semin, Zhang, Jianhua, Mahadeshwar, Harshad S., Tang, Jiabin, Ren, Xiaojia, Seth, Sahil, Yang, Lixing, Xu, Andrew W., Song, Xingzhi, Xi, Ruibin, Bristow, Christopher A., Hadjipanayis, Angela, Seidman, Jonathan, Chin, Lynda, Park, Peter J., Kucherlapati, Raju, Ling, Shiyun, Rao, Arvind, Weinstein, John N., Kim, Sang-Bae, Lu, Yiling, Mills, Gordon, Bootwalla, Moiz S., Lai, Phillip H., Triche, Timothy, Jr, Van Den Berg, David J., Baylin, Stephen B., Herman, James G., Murray, Bradley A., Askoy, Arman B., Ciriello, Giovanni, Dresdner, Gideon, Gao, Jianjiong, Gross, Benjamin, Jacobsen, Anders, Lee, William, Ramirez, Ricardo, Sander, Chris, Senbabaoglu, Yasin, Sinha, Rileen, Sumer, Onur S., Sun, Yichao, Thorsson, Vésteinn, Iype, Lisa, Kramer, Roger W., Kreisberg, Richard, Rovira, Hector, Tasman, Natalie, Haussler, David, Stuart, Josh M., Verhaak, Roeland G. W., Leiserson, Mark D. M., Taylor, Barry S., Black, Aaron D., Carney, Julie Ann, Gastier-Foster, Julie M., Helsel, Carmen, McAllister, Cynthia, Ramirez, Nilsa C., Tabler, Teresa R., Wise, Lisa, Zmuda, Erik, Penny, Robert, Crain, Daniel, Gardner, Johanna, Lau, Kevin, Curely, Erin, Mallery, David, Morris, Scott, Paulauskis, Joseph, Shelton, Troy, Shelton, Candace, Sherman, Mark, Benz, Christopher, Lee, Jae-Hyuk, Fedosenko, Konstantin, Manikhas, Georgy, Potapova, Olga, Voronina, Olga, Belyaev, Dmitry, Dolzhansky, Oleg, Rathmell, Kimryn W., Brzezinski, Jakub, Ibbs, Matthew, Korski, Konstanty, Kycler, Witold, Łaźniak, Radoslaw, Leporowska, Ewa, Mackiewicz, Andrzej, Murawa, Dawid, Murawa, Pawel, Spychała, Arkadiusz, Suchorska, Wiktoria M., Tatka, Honorata, Teresiak, Marek, Abdel-Misih, Raafat, Bennett, Joseph, Brown, Jennifer, Iacocca, Mary, Rabeno, Brenda, Kwon, Sun-Young, Kemkes, Ariane, Curley, Erin, Alexopoulou, Iakovina, Engel, Jay, Bartlett, John, Albert, Monique, Park, Do-Youn, Dhir, Rajiv, Luketich, James, Landreneau, Rodney, Janjigian, Yelena Y., Cho, Eunjung, Ladanyi, Marc, Tang, Laura, McCall, Shannon J., Park, Young S., Cheong, Jae-Ho, Ajani, Jaffer, Camargo, Constanza M., Alonso, Shelley, Ayala, Brenda, Jensen, Mark A., Pihl, Todd, Raman, Rohini, Walton, Jessica, Wan, Yunhu, Eley, Greg, Mills Shaw, Kenna R., Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Zenklusen, Jean Claude, Davidsen, Tanja, Hutter, Carolyn M., Sofia, Heidi J., Burton, Robert, Chudamani, Sudha, and Liu, Jia
- Published
- 2014
- Full Text
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5. Molecular characterization of rhabdoid tumours from multiple anatomical sites
- Author
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Chun, Hye-Jung Elizabeth
- Abstract
Rhabdoid tumours (RTs) are highly aggressive paediatric cancers that predominantly affect infants, with an overall 4-year survival rate below 25% and no curative therapy established to date. Nearly all RTs exhibit pathognomonic loss of SMARCB1, a core subunit of the SWI/SNF complex that mobilizes nucleosomes and regulates gene expression and epigenetic reprogramming. RTs are broadly classified into cranial (atypical teratoid RTs / ATRTs) and extra-cranial RTs (malignant RTs / MRTs), yet the extent to which they are different or similar was not fully determined. Previous reports indicated some shared molecular features between the two entities, but there had been no direct comparison between ATRTs and MRTs. Furthermore, previous reports indicated clinical and histological heterogeneity within and across ATRTs and MRTs, yet the extent of molecular heterogeneity was unknown, particularly in MRTs for which genomic, transcriptomic and epigenomic data were lacking. To address these knowledge gaps, I hypothesized that multi-omic data analyses would identify novel mutations, and gene expression and epigenetic features in MRTs and that such analyses could identify potential molecular underpinnings of heterogeneity. To test these hypotheses, I analyzed whole genome, transcriptome, DNA methylome, histone H3K27me3 and H3K27ac modification profiles obtained from 40 MRT cases, and analyzed multi-omics datasets derived from 140 MRT and 161 ATRT cases. My whole genome analyses revealed recurrently altered genes that were previously undescribed in MRTs. Integration of gene expression and epigenetic data revealed the convergence in dysregulation of HOX genes, imprinted genes and other development-regulating genes such as those involved in neural crest development, indicating dysregulation of early human developmental processes in MRTs. I also identified five DNA methylation subgroups of RTs across different anatomical sites. Among these, subgroups containing MRTs and ATRTs expressing relatively high levels of MYC exhibited gene expression signatures and epigenetic modifications indicative of increased immunological activities. I analyzed immunohistochemistry data to confirm increased levels of immune cell infiltration and expression of immune checkpoint proteins in these subgroups. My findings implied the potential utility of immune checkpoint blockade treatments for RT patients despite the low prevalence of mutations in these cancers.
- Published
- 2020
- Full Text
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6. Comprehensive molecular characterization of clear cell renal cell carcinoma
- Author
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Creighton, Chad J., Morgan, Margaret, Gunaratne, Preethi H., Wheeler, David A., Gibbs, Richard A., Robertson, Gordon A., Chu, Andy, Beroukhim, Rameen, Cibulskis, Kristian, Signoretti, Sabina, Hsin-Ta Wu, Fabio Vandin, Raphael, Benjamin J., Verhaak, Roel G. W., Tamboli, Pheroze, Torres-Garcia, Wandaliz, Akbani, Rehan, Weinstein, John N., Reuter, Victor, Hsieh, James J., Brannon, Rose A., Ari Hakimi, A., Jacobsen, Anders, Ciriello, Giovanni, Reva, Boris, Ricketts, Christopher J., Linehan, Marston W., Stuart, Joshua M., Rathmell, Kimryn W., Shen, Hui, Laird, Peter W., Muzny, Donna, Davis, Caleb, Xi, Liu, Chang, Kyle, Kakkar, Nipun, Treviño, Lisa R., Benton, Susan, Reid, Jeffrey G., Morton, Donna, Doddapaneni, Harsha, Han, Yi, Lewis, Lora, Dinh, Huyen, Kovar, Christie, Zhu, Yiming, Santibanez, Jireh, Wang, Min, Hale, Walker, Kalra, Divya, Getz, Gad, Lawrence, Michael S., Sougnez, Carrie, Carter, Scott L., Sivachenko, Andrey, Lichtenstein, Lee, Stewart, Chip, Voet, Doug, Fisher, Sheila, Gabriel, Stacey B., Lander, Eric, Schumacher, Steve E., Tabak, Barbara, Saksena, Gordon, Onofrio, Robert C., Cherniack, Andrew D., Gentry, Jeff, Ardlie, Kristin, Meyerson, Matthew, Chun, Hye-Jung E., Mungall, Andrew J., Sipahimalani, Payal, Stoll, Dominik, Ally, Adrian, Balasundaram, Miruna, Butterfield, Yaron S. N., Carlsen, Rebecca, Carter, Candace, Chuah, Eric, Coope, Robin J. N., Dhalla, Noreen, Gorski, Sharon, Guin, Ranabir, Hirst, Carrie, Hirst, Martin, Holt, Robert A., Lebovitz, Chandra, Lee, Darlene, Li, Haiyan I., Mayo, Michael, Moore, Richard A., Pleasance, Erin, Plettner, Patrick, Schein, Jacqueline E., Shafiei, Arash, Slobodan, Jared R., Tam, Angela, Thiessen, Nina, Varhol, Richard J., Wye, Natasja, Zhao, Yongjun, Birol, Inanc, Jones, Steven J. M., Marra, Marco A., Auman, Todd J., Tan, Donghui, Jones, Corbin D., Hoadley, Katherine A., Mieczkowski, Piotr A., Mose, Lisle E., Jefferys, Stuart R., Topal, Michael D., Liquori, Christina, Turman, Yidi J., Shi, Yan, Waring, Scot, Buda, Elizabeth, Walsh, Jesse, Wu, Junyuan, Bodenheimer, Tom, Hoyle, Alan P., Simons, Janae V., Soloway, Mathew G., Balu, Saianand, Parker, Joel S., Hayes, Neil D., Perou, Charles M., Kucherlapati, Raju, Park, Peter, Triche, Timothy, Jr, Weisenberger, Daniel J., Lai, Phillip H., Bootwalla, Moiz S., Maglinte, Dennis T., Mahurkar, Swapna, Berman, Benjamin P., Van Den Berg, David J., Cope, Leslie, Baylin, Stephen B., Noble, Michael S., DiCara, Daniel, Zhang, Hailei, Cho, Juok, Heiman, David I., Gehlenborg, Nils, Mallard, William, Lin, Pei, Frazer, Scott, Stojanov, Petar, Liu, Yingchun, Zhou, Lihua, Kim, Jaegil, Chin, Lynda, Vandin, Fabio, Wu, Hsin-Ta, Benz, Christopher, Yau, Christina, Reynolds, Sheila M., Shmulevich, Ilya, Verhaak, Roel G.W., Vegesna, Rahul, Kim, Hoon, Zhang, Wei, Cogdell, David, Jonasch, Eric, Ding, Zhiyong, Lu, Yiling, Zhang, Nianxiang, Unruh, Anna K., Casasent, Tod D., Wakefield, Chris, Tsavachidou, Dimitra, Mills, Gordon B., Schultz, Nikolaus, Antipin, Yevgeniy, Gao, Jianjiong, Cerami, Ethan, Gross, Benjamin, Aksoy, Arman B., Sinha, Rileen, Weinhold, Nils, Sumer, Onur S., Taylor, Barry S., Shen, Ronglai, Ostrovnaya, Irina, Berger, Michael F., Ladanyi, Marc, Sander, Chris, Fei, Suzanne S., Stout, Andrew, Spellman, Paul T., Rubin, Daniel L., Liu, Tiffany T., Ng, Sam, Paull, Evan O., Carlin, Daniel, Goldstein, Theodore, Waltman, Peter, Ellrott, Kyle, Zhu, Jing, Haussler, David, Xiao, Weimin, Shelton, Candace, Gardner, Johanna, Penny, Robert, Sherman, Mark, Mallery, David, Morris, Scott, Paulauskis, Joseph, Burnett, Ken, Shelton, Troy, Kaelin, William G., Choueiri, Toni, Atkins, Michael B., Curley, Erin, Tickoo, Satish, Thorne, Leigh, Boice, Lori, Huang, Mei, Fisher, Jennifer C., Vocke, Cathy D., Peterson, James, Worrell, Robert, Merino, Maria J., Schmidt, Laura S., Czerniak, Bogdan A., Aldape, Kenneth D., Wood, Christopher G., Boyd, Jeff, Weaver, JoEllen, Iacocca, Mary V., Petrelli, Nicholas, Witkin, Gary, Brown, Jennifer, Czerwinski, Christine, Huelsenbeck-Dill, Lori, Rabeno, Brenda, Myers, Jerome, Morrison, Carl, Bergsten, Julie, Eckman, John, Harr, Jodi, Smith, Christine, Tucker, Kelinda, Zach, Leigh Anne, Bshara, Wiam, Gaudioso, Carmelo, Dhir, Rajiv, Maranchie, Jodi, Nelson, Joel, Parwani, Anil, Potapova, Olga, Fedosenko, Konstantin, Cheville, John C., Thompson, Houston R., Mosquera, Juan M., Rubin, Mark A., Blute, Michael L., Pihl, Todd, Jensen, Mark, Sfeir, Robert, Kahn, Ari, Chu, Anna, Kothiyal, Prachi, Snyder, Eric, Pontius, Joan, Ayala, Brenda, Backus, Mark, Walton, Jessica, Baboud, Julien, Berton, Dominique, Nicholls, Matthew, Srinivasan, Deepak, Raman, Rohini, Girshik, Stanley, Kigonya, Peter, Alonso, Shelley, Sanbhadti, Rashmi, Barletta, Sean, Pot, David, Sheth, Margi, Demchok, John A., Davidsen, Tanja, Wang, Zhining, Yang, Liming, Tarnuzzer, Roy W., Zhang, Jiashan, Eley, Greg, Ferguson, Martin L., Mills Shaw, Kenna R., Guyer, Mark S., Ozenberger, Bradley A., and Sofia, Heidi J.
- Published
- 2013
- Full Text
- View/download PDF
7. Integrated genomic characterization of endometrial carcinoma
- Author
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Getz, Gad, Gabriel, Stacey B., Cibulskis, Kristian, Lander, Eric, Sivachenko, Andrey, Sougnez, Carrie, Lawrence, Mike, Kandoth, Cyriac, Dooling, David, Fulton, Robert, Fulton, Lucinda, Kalicki-Veizer, Joelle, McLellan, Michael D., OʼLaughlin, Michelle, Schmidt, Heather, Wilson, Richard K., Ye, Kai, Ding, Li, Mardis, Elaine R., Ally, Adrian, Balasundaram, Miruna, Birol, Inanc, Butterfield, Yaron S. N., Carlsen, Rebecca, Carter, Candace, Chu, Andy, Chuah, Eric, Chun, Hye-Jung E., Dhalla, Noreen, Guin, Ranabir, Hirst, Carrie, Holt, Robert A., Jones, Steven J. M., Lee, Darlene, Li, Haiyan I., Marra, Marco A., Mayo, Michael, Moore, Richard A., Mungall, Andrew J., Plettner, Patrick, Schein, Jacqueline E., Sipahimalani, Payal, Tam, Angela, Varhol, Richard J., Gordon Robertson, A., Cherniack, Andrew D., Pashtan, Itai, Saksena, Gordon, Onofrio, Robert C., Schumacher, Steven E., Tabak, Barbara, Carter, Scott L., Hernandez, Bryan, Gentry, Jeff, Salvesen, Helga B., Ardlie, Kristin, Winckler, Wendy, Beroukhim, Rameen, Meyerson, Matthew, Hadjipanayis, Angela, Lee, Semin, Mahadeshwar, Harshad S., Park, Peter, Protopopov, Alexei, Ren, Xiaojia, Seth, Sahil, Song, Xingzhi, Tang, Jiabin, Xi, Ruibin, Yang, Lixing, Zeng, Dong, Kucherlapati, Raju, Chin, Lynda, Zhang, Jianhua, Todd Auman, J., Balu, Saianand, Bodenheimer, Tom, Buda, Elizabeth, Neil Hayes, D., Hoyle, Alan P., Jefferys, Stuart R., Jones, Corbin D., Meng, Shaowu, Mieczkowski, Piotr A., Mose, Lisle E., Parker, Joel S., Perou, Charles M., Roach, Jeff, Shi, Yan, Simons, Janae V., Soloway, Mathew G., Tan, Donghui, Topal, Michael D., Waring, Scot, Wu, Junyuan, Hoadley, Katherine A., Baylin, Stephen B., Bootwalla, Moiz S., Lai, Phillip H., Triche, Timothy J., Jr, Van Den Berg, David J., Weisenberger, Daniel J., Laird, Peter W., Shen, Hui, Cho, Juok, DiCara, Daniel, Frazer, Scott, Heiman, David, Jing, Rui, Lin, Pei, Mallard, Will, Stojanov, Petar, Voet, Doug, Zhang, Hailei, Zou, Lihua, Noble, Michael, Reynolds, Sheila M., Shmulevich, Ilya, Arman Aksoy, B., Antipin, Yevgeniy, Ciriello, Giovanni, Dresdner, Gideon, Gao, Jianjiong, Gross, Benjamin, Jacobsen, Anders, Ladanyi, Marc, Reva, Boris, Sander, Chris, Sinha, Rileen, Onur Sumer, S., Taylor, Barry S., Cerami, Ethan, Weinhold, Nils, Schultz, Nikolaus, Shen, Ronglai, Benz, Stephen, Goldstein, Ted, Haussler, David, Ng, Sam, Szeto, Christopher, Stuart, Joshua, Benz, Christopher C., Yau, Christina, Zhang, Wei, Annala, Matti, Broom, Bradley M., Casasent, Tod D., Ju, Zhenlin, Liang, Han, Liu, Guoyan, Lu, Yiling, Unruh, Anna K., Wakefield, Chris, Weinstein, John N., Zhang, Nianxiang, Liu, Yuexin, Broaddus, Russell, Akbani, Rehan, Mills, Gordon B., Adams, Christopher, Barr, Thomas, Black, Aaron D., Bowen, Jay, Deardurff, John, Frick, Jessica, Gastier-Foster, Julie M., Grossman, Thomas, Harper, Hollie A., Hart-Kothari, Melissa, Helsel, Carmen, Hobensack, Aaron, Kuck, Harkness, Kneile, Kelley, Leraas, Kristen M., Lichtenberg, Tara M., McAllister, Cynthia, Pyatt, Robert E., Ramirez, Nilsa C., Tabler, Teresa R., Vanhoose, Nathan, White, Peter, Wise, Lisa, Zmuda, Erik, Barnabas, Nandita, Berry-Green, Charlenia, Blanc, Victoria, Boice, Lori, Button, Michael, Farkas, Adam, Green, Alex, MacKenzie, Jean, Nicholson, Dana, Kalloger, Steve E., Blake Gilks, C., Karlan, Beth Y., Lester, Jenny, Orsulic, Sandra, Borowsky, Mark, Cadungog, Mark, Czerwinski, Christine, Huelsenbeck-Dill, Lori, Iacocca, Mary, Petrelli, Nicholas, Rabeno, Brenda, Witkin, Gary, Nemirovich-Danchenko, Elena, Potapova, Olga, Rotin, Daniil, Berchuck, Andrew, Birrer, Michael, DiSaia, Phillip, Monovich, Laura, Curley, Erin, Gardner, Johanna, Mallery, David, Penny, Robert, Dowdy, Sean C., Winterhoff, Boris, Dao, Linda, Gostout, Bobbie, Meuter, Alexandra, Teoman, Attila, Dao, Fanny, Olvera, Narciso, Bogomolniy, Faina, Garg, Karuna, Soslow, Robert A., Levine, Douglas A., Abramov, Mikhail, Bartlett, John M. S., Kodeeswaran, Sugy, Parfitt, Jeremy, Moiseenko, Fedor, Clarke, Blaise A., Goodman, Marc T., Carney, Michael E., Matsuno, Rayna K., Fisher, Jennifer, Huang, Mei, Kimryn Rathmell, W., Thorne, Leigh, Van Le, Linda, Dhir, Rajiv, Edwards, Robert, Elishaev, Esther, Zorn, Kristin, Goodfellow, Paul J., Mutch, David, Kahn, Ari B., Bell, Daphne W., Pollock, Pamela M., Wang, Chen, A.Wheeler, David, Shinbrot, Eve, Ayala, Brenda, Chu, Anna L., Jensen, Mark A., Kothiyal, Prachi, Pihl, Todd D., Pontius, Joan, Pot, David A., Snyder, Eric E., Srinivasan, Deepak, Mills Shaw, Kenna R., Sheth, Margi, Davidsen, Tanja, Eley Martin L. Ferguson, Greg, Demchok, John A., Yang, Liming, Guyer, Mark S., Ozenberger, Bradley A., and Sofia, Heidi J.
- Published
- 2013
- Full Text
- View/download PDF
8. Comprehensive molecular portraits of human breast tumours
- Author
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Koboldt, Daniel C., Fulton, Robert S., McLellan, Michael D., Schmidt, Heather, Kalicki-Veizer, Joelle, McMichael, Joshua F., Fulton, Lucinda L., Dooling, David J., Ding, Li, Mardis, Elaine R., Wilson, Richard K., Ally, Adrian, Balasundaram, Miruna, Butterfield, Yaron S. N., Carlsen, Rebecca, Carter, Candace, Chu, Andy, Chuah, Eric, Chun, Hye-Jung E., Coope, Robin J. N., Dhalla, Noreen, Guin, Ranabir, Hirst, Carrie, Hirst, Martin, Holt, Robert A., Lee, Darlene, Li, Haiyan I., Mayo, Michael, Moore, Richard A., Mungall, Andrew J., Pleasance, Erin, Gordon Robertson, A., Schein, Jacqueline E., Shafiei, Arash, Sipahimalani, Payal, Slobodan, Jared R., Stoll, Dominik, Tam, Angela, Thiessen, Nina, Varhol, Richard J., Wye, Natasja, Zeng, Thomas, Zhao, Yongjun, Birol, Inanc, Jones, Steven J. M., Marra, Marco A., Cherniack, Andrew D., Saksena, Gordon, Onofrio, Robert C., Pho, Nam H., Carter, Scott L., Schumacher, Steven E., Tabak, Barbara, Hernandez, Bryan, Gentry, Jeff, Nguyen, Huy, Crenshaw, Andrew, Ardlie, Kristin, Beroukhim, Rameen, Winckler, Wendy, Getz, Gad, Gabriel, Stacey B., Meyerson, Matthew, Chin, Lynda, Park, Peter J., Kucherlapati, Raju, Hoadley, Katherine A., Todd Auman, J., Fan, Cheng, Turman, Yidi J., Shi, Yan, Li, Ling, Topal, Michael D., He, Xiaping, Chao, Hann-Hsiang, Prat, Aleix, Silva, Grace O., Iglesia, Michael D., Zhao, Wei, Usary, Jerry, Berg, Jonathan S., Adams, Michael, Booker, Jessica, Wu, Junyuan, Gulabani, Anisha, Bodenheimer, Tom, Hoyle, Alan P., Simons, Janae V., Soloway, Matthew G., Mose, Lisle E., Jefferys, Stuart R., Balu, Saianand, Parker, Joel S., Neil Hayes, D., Perou, Charles M., Malik, Simeen, Mahurkar, Swapna, Shen, Hui, Weisenberger, Daniel J., Triche, Timothy, Jr, Lai, Phillip H., Bootwalla, Moiz S., Maglinte, Dennis T., Berman, Benjamin P., Van Den Berg, David J., Baylin, Stephen B., Laird, Peter W., Creighton, Chad J., Donehower, Lawrence A., Noble, Michael, Voet, Doug, Gehlenborg, Nils, DiCara, Daniel, Zhang, Juinhua, Zhang, Hailei, Wu, Chang-Jiun, Liu, Spring Yingchun, Lawrence, Michael S., Zou, Lihua, Sivachenko, Andrey, Lin, Pei, Stojanov, Petar, Jing, Rui, Cho, Juok, Sinha, Raktim, Park, Richard W., Nazaire, Marc-Danie, Robinson, Jim, Thorvaldsdottir, Helga, Mesirov, Jill, Reynolds, Sheila, Kreisberg, Richard B., Bernard, Brady, Bressler, Ryan, Erkkila, Timo, Lin, Jake, Thorsson, Vesteinn, Zhang, Wei, Shmulevich, Ilya, Ciriello, Giovanni, Weinhold, Nils, Schultz, Nikolaus, Gao, Jianjiong, Cerami, Ethan, Gross, Benjamin, Jacobsen, Anders, Sinha, Rileen, Arman Aksoy, B., Antipin, Yevgeniy, Reva, Boris, Shen, Ronglai, Taylor, Barry S., Ladanyi, Marc, Sander, Chris, Anur, Pavana, Spellman, Paul T., Lu, Yiling, Liu, Wenbin, Verhaak, Roel R. G., Mills, Gordon B., Akbani, Rehan, Zhang, Nianxiang, Broom, Bradley M., Casasent, Tod D., Wakefield, Chris, Unruh, Anna K., Baggerly, Keith, Coombes, Kevin, Weinstein, John N., Haussler, David, Benz, Christopher C., Stuart, Joshua M., Benz, Stephen C., Zhu, Jingchun, Szeto, Christopher C., Scott, Gary K., Yau, Christina, Paull, Evan O., Carlin, Daniel, Wong, Christopher, Sokolov, Artem, Thusberg, Janita, Mooney, Sean, Ng, Sam, Goldstein, Theodore C., Ellrott, Kyle, Grifford, Mia, Wilks, Christopher, Ma, Singer, Craft, Brian, Yan, Chunhua, Hu, Ying, Meerzaman, Daoud, Gastier-Foster, Julie M., Bowen, Jay, Ramirez, Nilsa C., Black, Aaron D., Pyatt, Robert E., White, Peter, Zmuda, Erik J., Frick, Jessica, Lichtenberg, Tara M., Brookens, Robin, George, Myra M., Gerken, Mark A., Harper, Hollie A., Leraas, Kristen M., Wise, Lisa J., Tabler, Teresa R., McAllister, Cynthia, Barr, Thomas, Hart-Kothari, Melissa, Tarvin, Katie, Saller, Charles, Sandusky, George, Mitchell, Colleen, Iacocca, Mary V., Brown, Jennifer, Rabeno, Brenda, Czerwinski, Christine, Petrelli, Nicholas, Dolzhansky, Oleg, Abramov, Mikhail, Voronina, Olga, Potapova, Olga, Marks, Jeffrey R., Suchorska, Wiktoria M., Murawa, Dawid, Kycler, Witold, Ibbs, Matthew, Korski, Konstanty, Spychała, Arkadiusz, Murawa, Paweł, Brzeziński, Jacek J., Perz, Hanna, Łaźniak, Radosław, Teresiak, Marek, Tatka, Honorata, Leporowska, Ewa, Bogusz-Czerniewicz, Marta, Malicki, Julian, Mackiewicz, Andrzej, Wiznerowicz, Maciej, Van Le, Xuan, Kohl, Bernard, Viet Tien, Nguyen, Thorp, Richard, Van Bang, Nguyen, Sussman, Howard, Duc Phu, Bui, Hajek, Richard, Phi Hung, Nguyen, Viet The Phuong, Tran, Quyet Thang, Huynh, Zaki Khan, Khurram, Penny, Robert, Mallery, David, Curley, Erin, Shelton, Candace, Yena, Peggy, Ingle, James N., Couch, Fergus J., Lingle, Wilma L., King, Tari A., Maria Gonzalez-Angulo, Ana, Dyer, Mary D., Liu, Shuying, Meng, Xiaolong, Patangan, Modesto, Waldman, Frederic, Stöppler, Hubert, Kimryn Rathmell, W., Thorne, Leigh, Huang, Mei, Boice, Lori, Hill, Ashley, Morrison, Carl, Gaudioso, Carmelo, Bshara, Wiam, Daily, Kelly, Egea, Sophie C., Pegram, Mark D., Gomez-Fernandez, Carmen, Dhir, Rajiv, Bhargava, Rohit, Brufsky, Adam, Shriver, Craig D., Hooke, Jeffrey A., Leigh Campbell, Jamie, Mural, Richard J., Hu, Hai, Somiari, Stella, Larson, Caroline, Deyarmin, Brenda, Kvecher, Leonid, Kovatich, Albert J., Ellis, Matthew J., Stricker, Thomas, White, Kevin, Olopade, Olufunmilayo, Luo, Chunqing, Chen, Yaqin, Bose, Ron, Chang, Li-Wei, Beck, Andrew H., Pihl, Todd, Jensen, Mark, Sfeir, Robert, Kahn, Ari, Chu, Anna, Kothiyal, Prachi, Wang, Zhining, Snyder, Eric, Pontius, Joan, Ayala, Brenda, Backus, Mark, Walton, Jessica, Baboud, Julien, Berton, Dominique, Nicholls, Matthew, Srinivasan, Deepak, Raman, Rohini, Girshik, Stanley, Kigonya, Peter, Alonso, Shelley, Sanbhadti, Rashmi, Barletta, Sean, Pot, David, Sheth, Margi, Demchok, John A., Mills Shaw, Kenna R., Yang, Liming, Eley, Greg, Ferguson, Martin L., Tarnuzzer, Roy W., Zhang, Jiashan, Dillon, Laura A. L., Buetow, Kenneth, Fielding, Peter, Ozenberger, Bradley A., Guyer, Mark S., Sofia, Heidi J., and Palchik, Jacqueline D.
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- 2012
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9. Comprehensive genomic characterization of squamous cell lung cancers
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Hammerman, Peter S., Lawrence, Michael S., Voet, Douglas, Jing, Rui, Cibulskis, Kristian, Sivachenko, Andrey, Stojanov, Petar, McKenna, Aaron, Lander, Eric S., Gabriel, Stacey, Getz, Gad, Sougnez, Carrie, Imielinski, Marcin, Helman, Elena, Hernandez, Bryan, Pho, Nam H., Meyerson, Matthew, Chu, Andy, Chun, Hye-Jung E., Mungall, Andrew J., Pleasance, Erin, Gordon Robertson, A., Sipahimalani, Payal, Stoll, Dominik, Balasundaram, Miruna, Birol, Inanc, Butterfield, Yaron S. N., Chuah, Eric, Coope, Robin J. N., Corbett, Richard, Dhalla, Noreen, Guin, Ranabir, He, An, Hirst, Carrie, Hirst, Martin, Holt, Robert A., Lee, Darlene, Li, Haiyan I., Mayo, Michael, Moore, Richard A., Mungall, Karen, Ming Nip, Ka, Olshen, Adam, Schein, Jacqueline E., Slobodan, Jared R., Tam, Angela, Thiessen, Nina, Varhol, Richard, Zeng, Thomas, Zhao, Yongjun, Jones, Steven J. M., Marra, Marco A., Saksena, Gordon, Cherniack, Andrew D., Schumacher, Stephen E., Tabak, Barbara, Carter, Scott L., Nguyen, Huy, Onofrio, Robert C., Crenshaw, Andrew, Ardlie, Kristin, Beroukhim, Rameen, Winckler, Wendy, Protopopov, Alexei, Zhang, Jianhua, Hadjipanayis, Angela, Lee, Semin, Xi, Ruibin, Yang, Lixing, Ren, Xiaojia, Zhang, Hailei, Shukla, Sachet, Chen, Peng-Chieh, Haseley, Psalm, Lee, Eunjung, Chin, Lynda, Park, Peter J., Kucherlapati, Raju, Socci, Nicholas D., Liang, Yupu, Schultz, Nikolaus, Borsu, Laetitia, Lash, Alex E., Viale, Agnes, Sander, Chris, Ladanyi, Marc, Todd Auman, J., Hoadley, Katherine A., Wilkerson, Matthew D., Shi, Yan, Liquori, Christina, Meng, Shaowu, Li, Ling, Turman, Yidi J., Topal, Michael D., Tan, Donghui, Waring, Scot, Buda, Elizabeth, Walsh, Jesse, Jones, Corbin D., Mieczkowski, Piotr A., Singh, Darshan, Wu, Junyuan, Gulabani, Anisha, Dolina, Peter, Bodenheimer, Tom, Hoyle, Alan P., Simons, Janae V., Soloway, Matthew G., Mose, Lisle E., Jefferys, Stuart R., Balu, Saianand, OʼConnor, Brian D., Prins, Jan F., Liu, Jinze, Chiang, Derek Y., Neil Hayes, D., Perou, Charles M., Cope, Leslie, Danilova, Ludmila, Weisenberger, Daniel J., Maglinte, Dennis T., Pan, Fei, Van Den Berg, David J., Triche, Timothy, Jr, Herman, James G., Baylin, Stephen B., Laird, Peter W., Noble, Michael, Voet, Doug, Gehlenborg, Nils, DiCara, Daniel, Zhang, Jinhua, Wu, Chang-Jiun, Yingchun Liu, Spring, Zou, Lihua, Lin, Pei, Cho, Juok, Nazaire, Marc-Danie, Robinson, Jim, Thorvaldsdottir, Helga, Mesirov, Jill, Sinha, Rileen, Ciriello, Giovanni, Cerami, Ethan, Gross, Benjamin, Jacobsen, Anders, Gao, Jianjiong, Arman Aksoy, B., Weinhold, Nils, Ramirez, Ricardo, Taylor, Barry S., Antipin, Yevgeniy, Reva, Boris, Shen, Ronglai, Mo, Qianxing, Seshan, Venkatraman, Paik, Paul K., Akbani, Rehan, Zhang, Nianxiang, Broom, Bradley M., Casasent, Tod, Unruh, Anna, Wakefield, Chris, Craig Cason, R., Baggerly, Keith A., Weinstein, John N., Haussler, David, Benz, Christopher C., Stuart, Joshua M., Zhu, Jingchun, Szeto, Christopher, Scott, Gary K., Yau, Christina, Ng, Sam, Goldstein, Ted, Waltman, Peter, Sokolov, Artem, Ellrott, Kyle, Collisson, Eric A., Zerbino, Daniel, Wilks, Christopher, Ma, Singer, Craft, Brian, Du, Ying, Cabanski, Christopher, Walter, Vonn, Marron, J. S., Liu, Yufeng, Wang, Kai, Creighton, Chad J., Zhang, Yiqun, Travis, William D., Rekhtman, Natasha, Yi, Joanne, Aubry, Marie C., Cheney, Richard, Dacic, Sanja, Flieder, Douglas, Funkhouser, William, Illei, Peter, Myers, Jerome, Tsao, Ming-Sound, Penny, Robert, Mallery, David, Shelton, Troy, Hatfield, Martha, Morris, Scott, Yena, Peggy, Shelton, Candace, Sherman, Mark, Paulauskis, Joseph, Govindan, Ramaswamy, Azodo, Ijeoma, Beer, David, Bose, Ron, Byers, Lauren A., Carbone, David, Chang, Li-Wei, Chiang, Derek, Chun, Elizabeth, Collisson, Eric, Ding, Li, Heymach, John, Ida, Cristiane, Johnson, Bruce, Jurisica, Igor, Kaufman, Jacob, Kosari, Farhad, Kwiatkowski, David, Maher, Christopher A., Mungall, Andy, Pao, William, Peifer, Martin, Robertson, Gordon, Rusch, Valerie, Siegfried, Jill, Stuart, Joshua, Thomas, Roman K., Tomaszek, Sandra, Vaske, Charles, Weisenberger, Daniel, Wigle, Dennis A., Yang, Ping, John Zhang, Jianjua, Jensen, Mark A., Sfeir, Robert, Kahn, Ari B., Chu, Anna L., Kothiyal, Prachi, Wang, Zhining, Snyder, Eric E., Pontius, Joan, Pihl, Todd D., Ayala, Brenda, Backus, Mark, Walton, Jessica, Baboud, Julien, Berton, Dominique L., Nicholls, Matthew C., Srinivasan, Deepak, Raman, Rohini, Girshik, Stanley, Kigonya, Peter A., Alonso, Shelley, Sanbhadti, Rashmi N., Barletta, Sean P., Greene, John M., Pot, David A., Bandarchi-Chamkhaleh, Bizhan, Boyd, Jeff, Weaver, JoEllen, Azodo, Ijeoma A., Tomaszek, Sandra C., Christine Aubry, Marie, Ida, Christiane M., Brock, Malcolm V., Rogers, Kristen, Rutledge, Marian, Brown, Travis, Lee, Beverly, Shin, James, Trusty, Dante, Dhir, Rajiv, Siegfried, Jill M., Potapova, Olga, Fedosenko, Konstantin V., Nemirovich-Danchenko, Elena, Zakowski, Maureen, Iacocca, Mary V., Brown, Jennifer, Rabeno, Brenda, Czerwinski, Christine, Petrelli, Nicholas, Fan, Zhen, Todaro, Nicole, Eckman, John, Rathmell, Kimryn W., Thorne, Leigh B., Huang, Mei, Boice, Lori, Hill, Ashley, Curley, Erin, Morrison, Carl, Gaudioso, Carmelo, Bartlett, John M. S., Kodeeswaran, Sugy, Zanke, Brent, Sekhon, Harman, David, Kerstin, Juhl, Hartmut, Van Le, Xuan, Kohl, Bernard, Thorp, Richard, Viet Tien, Nguyen, Van Bang, Nguyen, Sussman, Howard, Duc Phu, Bui, Hajek, Richard, Phi Hung, Nguyen, Khan, Khurram Z., Muley, Thomas, Mills Shaw, Kenna R., Sheth, Margi, Yang, Liming, Buetow, Ken, Davidsen, Tanja, Demchok, John A., Eley, Greg, Ferguson, Martin, Dillon, Laura A. L., Schaefer, Carl, Guyer, Mark S., Ozenberger, Bradley A., Palchik, Jacqueline D., Peterson, Jane, Sofia, Heidi J., Thomson, Elizabeth, and Johnson, Bruce E.
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- 2012
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10. Comprehensive molecular characterization of human colon and rectal cancer
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Muzny, Donna M., Bainbridge, Matthew N., Chang, Kyle, Dinh, Huyen H., Drummond, Jennifer A., Fowler, Gerald, Kovar, Christie L., Lewis, Lora R., Morgan, Margaret B., Newsham, Irene F., Reid, Jeffrey G., Santibanez, Jireh, Shinbrot, Eve, Trevino, Lisa R., Wu, Yuan-Qing, Wang, Min, Gunaratne, Preethi, Donehower, Lawrence A., Creighton, Chad J., Wheeler, David A., Gibbs, Richard A., Lawrence, Michael S., Voet, Douglas, Jing, Rui, Cibulskis, Kristian, Sivachenko, Andrey, Stojanov, Petar, McKenna, Aaron, Lander, Eric S., Gabriel, Stacey, Getz, Gad, Ding, Li, Fulton, Robert S., Koboldt, Daniel C., Wylie, Todd, Walker, Jason, Dooling, David J., Fulton, Lucinda, Delehaunty, Kim D., Fronick, Catrina C., Demeter, Ryan, Mardis, Elaine R., Wilson, Richard K., Chu, Andy, Chun, Hye-Jung E., Mungall, Andrew J., Pleasance, Erin, Robertson, Gordon A., Stoll, Dominik, Balasundaram, Miruna, Birol, Inanc, Butterfield, Yaron S. N., Chuah, Eric, Coope, Robin J. N., Dhalla, Noreen, Guin, Ranabir, Hirst, Carrie, Hirst, Martin, Holt, Robert A., Lee, Darlene, Li, Haiyan I., Mayo, Michael, Moore, Richard A., Schein, Jacqueline E., Slobodan, Jared R., Tam, Angela, Thiessen, Nina, Varhol, Richard, Zeng, Thomas, Zhao, Yongjun, Jones, Steven J. M., Marra, Marco A., Bass, Adam J., Ramos, Alex H., Saksena, Gordon, Cherniack, Andrew D., Schumacher, Stephen E., Tabak, Barbara, Carter, Scott L., Pho, Nam H., Nguyen, Huy, Onofrio, Robert C., Crenshaw, Andrew, Ardlie, Kristin, Beroukhim, Rameen, Winckler, Wendy, Meyerson, Matthew, Protopopov, Alexei, Zhang, Juinhua, Hadjipanayis, Angela, Lee, Eunjung, Xi, Ruibin, Yang, Lixing, Ren, Xiaojia, Zhang, Hailei, Sathiamoorthy, Narayanan, Shukla, Sachet, Chen, Peng-Chieh, Haseley, Psalm, Xiao, Yonghong, Lee, Semin, Seidman, Jonathan, Chin, Lynda, Park, Peter J., Kucherlapati, Raju, Auman, Todd J., Hoadley, Katherine A., Du, Ying, Wilkerson, Matthew D., Shi, Yan, Liquori, Christina, Meng, Shaowu, Li, Ling, Turman, Yidi J., Topal, Michael D., Tan, Donghui, Waring, Scot, Buda, Elizabeth, Walsh, Jesse, Jones, Corbin D., Mieczkowski, Piotr A., Singh, Darshan, Wu, Junyuan, Gulabani, Anisha, Dolina, Peter, Bodenheimer, Tom, Hoyle, Alan P., Simons, Janae V., Soloway, Matthew, Mose, Lisle E., Jefferys, Stuart R., Balu, Saianand, O’Connor, Brian D., Prins, Jan F., Chiang, Derek Y., Hayes, Neil D., Perou, Charles M., Hinoue, Toshinori, Weisenberger, Daniel J., Maglinte, Dennis T., Pan, Fei, Berman, Benjamin P., Van Den Berg, David J., Shen, Hui, Triche, Timothy, Jr, Baylin, Stephen B., Laird, Peter W., Noble, Michael, Voet, Doug, Gehlenborg, Nils, DiCara, Daniel, Wu, Chang-Jiun, Yingchun Liu, Spring, Zhou, Lihua, Lin, Pei, Park, Richard W., Nazaire, Marc-Danie, Robinson, Jim, Thorvaldsdottir, Helga, Mesirov, Jill, Thorsson, Vesteinn, Reynolds, Sheila M., Bernard, Brady, Kreisberg, Richard, Lin, Jake, Iype, Lisa, Bressler, Ryan, Erkkilä, Timo, Gundapuneni, Madhumati, Liu, Yuexin, Norberg, Adam, Robinson, Tom, Yang, Da, Zhang, Wei, Shmulevich, Ilya, de Ronde, Jorma J., Schultz, Nikolaus, Cerami, Ethan, Ciriello, Giovanni, Goldberg, Arthur P., Gross, Benjamin, Jacobsen, Anders, Gao, Jianjiong, Kaczkowski, Bogumil, Sinha, Rileen, Aksoy, Arman B., Antipin, Yevgeniy, Reva, Boris, Shen, Ronglai, Taylor, Barry S., Chan, Timothy A., Ladanyi, Marc, Sander, Chris, Akbani, Rehan, Zhang, Nianxiang, Broom, Bradley M., Casasent, Tod, Unruh, Anna, Wakefield, Chris, Hamilton, Stanley R., Cason, Craig R., Baggerly, Keith A., Weinstein, John N., Haussler, David, Benz, Christopher C., Stuart, Joshua M., Benz, Stephen C., Sanborn, Zachary J., Vaske, Charles J., Zhu, Jingchun, Szeto, Christopher, Scott, Gary K., Yau, Christina, Ng, Sam, Goldstein, Ted, Ellrott, Kyle, Collisson, Eric, Cozen, Aaron E., Zerbino, Daniel, Wilks, Christopher, Craft, Brian, Spellman, Paul, Penny, Robert, Shelton, Troy, Hatfield, Martha, Morris, Scott, Yena, Peggy, Shelton, Candace, Sherman, Mark, Paulauskis, Joseph, Gastier-Foster, Julie M., Bowen, Jay, Ramirez, Nilsa C., Black, Aaron, Pyatt, Robert, Wise, Lisa, White, Peter, Bertagnolli, Monica, Brown, Jen, Chu, Gerald C., Czerwinski, Christine, Denstman, Fred, Dhir, Rajiv, Dörner, Arnulf, Fuchs, Charles S., Guillem, Jose G., Iacocca, Mary, Juhl, Hartmut, Kaufman, Andrew, Kohl, Bernard, III, Van Le, Xuan, Mariano, Maria C., Medina, Elizabeth N., Meyers, Michael, Nash, Garrett M., Paty, Phillip B., Petrelli, Nicholas, Rabeno, Brenda, Richards, William G., Solit, David, Swanson, Pat, Temple, Larissa, Tepper, Joel E., Thorp, Richard, Vakiani, Efsevia, Weiser, Martin R., Willis, Joseph E., Witkin, Gary, Zeng, Zhaoshi, Zinner, Michael J., Zornig, Carsten, Jensen, Mark A., Sfeir, Robert, Kahn, Ari B., Chu, Anna L., Kothiyal, Prachi, Wang, Zhining, Snyder, Eric E., Pontius, Joan, Pihl, Todd D., Ayala, Brenda, Backus, Mark, Walton, Jessica, Whitmore, Jon, Baboud, Julien, Berton, Dominique L., Nicholls, Matthew C., Srinivasan, Deepak, Raman, Rohini, Girshik, Stanley, Kigonya, Peter A., Alonso, Shelley, Sanbhadti, Rashmi N., Barletta, Sean P., Greene, John M., Pot, David A., Mills Shaw, Kenna R., Dillon, Laura A. L., Buetow, Ken, Davidsen, Tanja, Demchok, John A., Eley, Greg, Ferguson, Martin, Fielding, Peter, Schaefer, Carl, Sheth, Margi, Yang, Liming, Guyer, Mark S., Ozenberger, Bradley A., Palchik, Jacqueline D., Peterson, Jane, Sofia, Heidi J., and Thomson, Elizabeth
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- 2012
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11. The presence of tumour‐infiltrating neutrophils is an independent adverse prognostic feature in clear cell renal cell carcinoma.
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Tessier‐Cloutier, Basile, Twa, David DW, Marzban, Mahsa, Kalina, Jennifer, Chun, Hye‐Jung E, Pavey, Nils, Tanweer, Zaidi, Katz, Ruth L, Lum, Julian J, and Salina, Davide
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RENAL cell carcinoma ,CADHERINS ,OVERALL survival ,TUMOR microenvironment ,NEUTROPHILS ,NEEDLE biopsy ,PROGNOSIS - Abstract
Tumour‐promoting inflammation is an emerging hallmark of cancer that is increasingly recognised as a therapeutic target. As a constituent measure of inflammation, tumour‐infiltrating neutrophils (TINs) have been associated with inferior prognosis in several cancers. We analysed clinically annotated cohorts of clear cell renal cell carcinoma (ccRCC) to assess the presence of neutrophils within the tumour microenvironment as a function of outcome. We centrally reviewed ccRCC surgical resection and fine‐needle aspiration (FNA) specimens, including primary and metastatic sites, from three centres. TINs were scored based on the presence of neutrophils in resection and FNA specimens by two pathologists. TIN count was correlated with tumour characteristics including stage, WHO/ISUP grade, and immunohistochemistry (IHC). In parallel, we performed CIBERSORT analysis of the tumour microenvironment in a cohort of 516 ccRCCs from The Cancer Genome Atlas (TCGA). We included 102 ccRCC cases comprising 65 resection specimens (37 primary and 28 metastatic resection specimens) and 37 FNAs from primary lesions. High TINs were significantly associated with worse overall survival (p = 0.009) independent of tumour grade and stage. In ccRCCs sampled via FNA, all cases with high TINs had distant metastasis, whereas they were seen in only 19% of cases with low TINs (p = 0.0003). IHC analysis showed loss of E‐cadherin in viable tumour cells in areas with high TINs, and neutrophil activation was associated with elastase and citrullinated histone H3 expression (cit‐H3). In the TCGA cohort, neutrophilic markers were also associated with worse survival (p < 0.0001). TINs are an independent predictor of worse prognosis in ccRCC, which have the potential to be assessed at the time of first biopsy or FNA. Neutrophils act directly on tumour tissue by releasing elastase, a factor that contributes to the breakdown of cell–cell adhesion and to facilitate tumour dissemination. [ABSTRACT FROM AUTHOR]
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- 2021
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12. Analysis of 4,664 high-quality sequence-finished poplar full-length cDNA clones and their utility for the discovery of genes responding to insect feeding
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Douglas Carl J, Tuskan Gerald A, Gunter Lee, Kolosova Natalia, Kirkpatrick Robert, Cooper Dawn, Chun Hye Jung E, Ralph Steven G, Holt Robert A, Jones Steven JM, Marra Marco A, and Bohlmann Jörg
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Biotechnology ,TP248.13-248.65 ,Genetics ,QH426-470 - Abstract
Abstract Background The genus Populus includes poplars, aspens and cottonwoods, which will be collectively referred to as poplars hereafter unless otherwise specified. Poplars are the dominant tree species in many forest ecosystems in the Northern Hemisphere and are of substantial economic value in plantation forestry. Poplar has been established as a model system for genomics studies of growth, development, and adaptation of woody perennial plants including secondary xylem formation, dormancy, adaptation to local environments, and biotic interactions. Results As part of the poplar genome sequencing project and the development of genomic resources for poplar, we have generated a full-length (FL)-cDNA collection using the biotinylated CAP trapper method. We constructed four FLcDNA libraries using RNA from xylem, phloem and cambium, and green shoot tips and leaves from the P. trichocarpa Nisqually-1 genotype, as well as insect-attacked leaves of the P. trichocarpa × P. deltoides hybrid. Following careful selection of candidate cDNA clones, we used a combined strategy of paired end reads and primer walking to generate a set of 4,664 high-accuracy, sequence-verified FLcDNAs, which clustered into 3,990 putative unique genes. Mapping FLcDNAs to the poplar genome sequence combined with BLAST comparisons to previously predicted protein coding sequences in the poplar genome identified 39 FLcDNAs that likely localize to gaps in the current genome sequence assembly. Another 173 FLcDNAs mapped to the genome sequence but were not included among the previously predicted genes in the poplar genome. Comparative sequence analysis against Arabidopsis thaliana and other species in the non-redundant database of GenBank revealed that 11.5% of the poplar FLcDNAs display no significant sequence similarity to other plant proteins. By mapping the poplar FLcDNAs against transcriptome data previously obtained with a 15.5 K cDNA microarray, we identified 153 FLcDNA clones for genes that were differentially expressed in poplar leaves attacked by forest tent caterpillars. Conclusion This study has generated a high-quality FLcDNA resource for poplar and the third largest FLcDNA collection published to date for any plant species. We successfully used the FLcDNA sequences to reassess gene prediction in the poplar genome sequence, perform comparative sequence annotation, and identify differentially expressed transcripts associated with defense against insects. The FLcDNA sequences will be essential to the ongoing curation and annotation of the poplar genome, in particular for targeting gaps in the current genome assembly and further improvement of gene predictions. The physical FLcDNA clones will serve as useful reagents for functional genomics research in areas such as analysis of gene functions in defense against insects and perennial growth. Sequences from this study have been deposited in NCBI GenBank under the accession numbers EF144175 to EF148838.
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- 2008
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13. Multiplatform analysis of 12 cancer types reveals molecular classification within and across tissues of origin
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Hoadley, Katherine A., Yau, Christina, Wolf, Denise M., Cherniack, Andrew D., Tamborero, David, Sam, Ng, Leiserson, Max D. M., Niu, Beifang, Mclellan, Michael D., Uzunangelov, Vladislav, Zhang, Jiashan, Kandoth, Cyriac, Akbani, Rehan, Shen, Hui, Omberg, Larsson, Chu, Andy, Margolin, Adam A., Van'T Veer, Laura J., Lopez Bigas, Nuria, Laird, Peter W., Raphael, Benjamin J., Ding, Li, Robertson, A. Gordon, Byers, Lauren A., Mills, Gordon B., Weinstein, John N., Van Waes, Carter, Chen, Zhong, Collisson, Eric A., Benz, Christopher C, Perou, Charles M., Stuart, Joshua M., Rachel, Abbott, Scott, Abbott, Arman Aksoy, B., Kenneth, Aldape, Adrian, Ally, Samirku mar Amin, Dimitris, Anastassiou, Todd Auman, J., Baggerly, Keith A., Miruna, Balasundaram, Saianand, Balu, Baylin, Stephen B., Benz, Stephen C., Berman, Benjamin P., Brady, Bernard, Bhatt, Ami S., Inanc, Birol, Black, Aaron D., Tom, Bodenheimer, Bootwalla, Moiz S., Jay, Bowen, Ryan, Bressler, Bristow, Christopher A., Brooks, Angela N., Bradley, Broom, Elizabeth, Buda, Robert, Burton, Butterfield, Yaron S. N., Daniel, Carlin, Carter, Scott L., Casasent, Tod D., Kyle, Chang, Stephen, Chanock, Lynda, Chin, Dong Yeon Cho, Juok, Cho, Eric, Chuah, Chun, Hye Jung E., Kristian, Cibulskis, Giovanni, Ciriello, James Cle land, Melisssa, Cline, Brian, Craft, Creighton, Chad J., Ludmila, Danilova, Tanja, Davidsen, Caleb, Davis, Dees, Nathan D., Kim, Delehaunty, Demchok, John A., Noreen, Dhalla, Daniel, Dicara, Huyen, Dinh, Dobson, Jason R., Deepti, Dodda, Harshavardhan, Doddapaneni, Lawrence, Donehower, Dooling, David J., Gideon, Dresdner, Jennifer, Drummond, Andrea, Eakin, Mary, Edgerton, Eldred, Jim M., Greg, Eley, Kyle, Ellrott, Cheng, Fan, Suzanne, Fei, Ina, Felau, Scott, Frazer, Freeman, Samuel S., Jessica, Frick, Fronick, Catrina C., Ful ton, Lucinda L., Robert, Fulton, Gabriel, Stacey B., Jianjiong, Gao, Gastier Foster, Julie M., Nils, Gehlenborg, Myra, George, Gad, Getz, Richard, Gibbs, Mary, Goldman, Abel Gonzalez Perez, Benjamin, Gross, Ranabir, Guin, Preethi, Gunaratne, Angela, Hadjipanayis, Hamilton, Mark P., Hamilton, Stanley R., Leng, Han, Han, Yi, Harper, Hollie A., Psalm, Haseley, David, Haussler, Neil Hayes, D., Heiman, David I., Elena, Helman, Carmen, Helsel, Herbrich, Shelley M., Her man, James G., Toshinori, Hinoue, Carrie, Hirst, Martin, Hirst, Holt, Robert A., Hoyle, Alan P., Lisa, Iype, Anders, Jacobsen, Jeffreys, Stuart R., Jensen, Mark A., Jones, Corbin D., Jones, Steven J. M., Zhenlin, Ju, Joonil, Jung, Andre, Kahles, Ari, Kahn, Joelle Kalicki Veizer, Divya, Kalra, Krishna Latha Kanchi, Kane, David W., Hoon, Kim, Jaegil, Kim, Theo, Knijnenburg, Koboldt, Daniel C., Christie, Kovar, Roger, Kramer, Richard, Kreisberg, Raju, Kucherlapati, Marc, Ladanyi, Lander, Eric S., Larson, David E., Lawrence, Michael S., Darlene, Lee, Eunjung, Lee, Semin, Lee, William, Lee, Kjong Van Lehmann, Kalle, Leinonen, Ler aas, Kristen M., Seth, Lerner, Levine, Douglas A., Lora, Lewis, Ley, Timothy J., Haiyan I., Li, Jun, Li, Wei, Li, Han, Liang, Lichtenberg, Tara M., Jake, Lin, Ling, Lin, Pei, Lin, Wen bin Liu, Yingchun, Liu, Yuexin, Liu, Lorenzi, Philip L., Charles, Lu, Yiling, Lu, Luquette, Love lace J., Singer, Ma, Magrini, Vincent J., Mahadeshwar, Harshad S., Mardis, Elaine R., Adam, Margolin, Marra, Marco A., Michael, Mayo, Cynthia, Mcallister, Mcguire, Sean E., Mcmichael, Joshua F., James, Melott, Shaowu, Meng, Matthew, Meyerson, Mieczkowski, Piotr A., Miller, Christopher A., Miller, Martin L., Michael, Miller, Moore, Richard A., Margaret, Morgan, Donna, Morton, Mose, Lisle E., Mungall, Andrew J., Donna, Muzny, Lam, Nguyen, Noble, Michael S., Houtan, Noushmehr, Michelle, O’Laughlin, Ojesina, Akinyemi I., Tai Hsien Ou Yang, Brad, Ozenberger, Angeliki, Pantazi, Michael, Parfenov, Park, Peter J., Parker, Joel S., Evan, Paull, Chandra Sekhar Pedamallu, Todd, Pihl, Craig, Pohl, David, Pot, Alexei, Protopopov, Teresa, Przytycka, Amie Raden baugh, Ramirez, Nilsa C., Ricardo, Ramirez, Gunnar Ra, ̈ tsch, Jeffrey, Reid, Xiao jia Ren, Boris, Reva, Reynolds, Sheila M., Rhie, Suhn K., Jeffrey, Roach, Hector, Rovira, Michael, Ryan, Gordon, Saksena, Sofie, Salama, Chris, Sander, Netty, Santoso, Schein, Jacqueline E., Heather, Schmidt, Nikolaus, Schultz, Schumacher, Steven E., Jonathan, Seidman, Yasin, Senbabaoglu, Sahil, Seth, Saman tha Sharpe, Ronglai, Shen, Margi, Sheth, Yan, Shi, Ilya, Shmulevich, Silva, Grace O., Simons, Janae V., Rileen, Sinha, Payal, Sipahimalani, Smith, Scott M., Sofia, Heidi J., Artem, Sokolov, Soloway, Mathew G., Xingzhi, Song, Carrie Soug nez, Paul, Spellman, Louis, Staudt, Chip, Stewart, Petar, Stojanov, Xiaoping, Su, Onur Sumer, S., Yichao, Sun, Teresa, Swatloski, Barbara, Tabak, Angela, Tam, Donghui, Tan, Jiabin, Tang, Roy, Tarnuzzer, Taylor, Barry S., Nina, Thiessen, Ves teinn Thorsson, Timothy Triche, J. r., Van Den Berg, David J., Vandin, Fabio, Varhol, Richard J., Vaske, Charles J., Umadevi, Veluvolu, Roeland, Verhaak, Doug, Voet, Jason, Walker, Wallis, John W., Peter, Waltman, Yunhu, Wan, Min, Wang, Wenyi, Wang, Zhining, Wang, Scot, Waring, Nils, Weinhold, Weisenberger, Daniel J., Wendl, Michael C., David, Wheeler, Wilkerson, Matthew D., Wilson, Richard K., Lisa, Wise, Andrew, Wong, Chang Jiun Wu, Chia Chin Wu, Hsin Ta Wu, Junyuan, Wu, Todd, Wylie, Liu, Xi, Ruibin, Xi, Zheng, Xia, Andrew W., Xu, Yang, Da, Liming, Yang, Lixing, Yang, Yang, Yang, Jun, Yao, Rong, Yao, Kai, Ye, Ko suke Yoshihara, Yuan, Yuan, Yung, Alfred K., Travis, Zack, Dong, Zeng, Jean Claude Zenklusen, Hailei, Zhang, Jianhua, Zhang, Nianxiang, Zhang, Qunyuan, Zhang, Wei, Zhang, Wei, Zhao, Siyuan, Zheng, Jing, Zhu, Erik, Zmuda, and Lihua, Zou
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Genetics and Molecular Biology (all) ,Cluster Analysis ,Humans ,Neoplasms ,Transcriptome ,Biochemistry, Genetics and Molecular Biology (all) ,Extramural ,Biochemistry, Genetics and Molecular Biology(all) ,Cancer ,Computational biology ,Disease ,Biology ,medicine.disease ,Bioinformatics ,Biochemistry ,General Biochemistry, Genetics and Molecular Biology ,Article ,3. Good health ,Molecular classification ,TP63 ,CLUSTERS (ANÁLISE) ,medicine ,Head and neck ,Gene - Abstract
Summary Recent genomic analyses of pathologically defined tumor types identify "within-a-tissue" disease subtypes. However, the extent to which genomic signatures are shared across tissues is still unclear. We performed an integrative analysis using five genome-wide platforms and one proteomic platform on 3,527 specimens from 12 cancer types, revealing a unified classification into 11 major subtypes. Five subtypes were nearly identical to their tissue-of-origin counterparts, but several distinct cancer types were found to converge into common subtypes. Lung squamous, head and neck, and a subset of bladder cancers coalesced into one subtype typified by TP53 alterations, TP63 amplifications, and high expression of immune and proliferation pathway genes. Of note, bladder cancers split into three pan-cancer subtypes. The multiplatform classification, while correlated with tissue-of-origin, provides independent information for predicting clinical outcomes. All data sets are available for data-mining from a unified resource to support further biological discoveries and insights into novel therapeutic strategies.
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- 2014
14. Comprehensive molecular portraits of human breast tumours
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Moore, Richard A., Fulton, Lucinda L., Hirst, Martin, Chun, Hye-Jung E., Fulton, Robert S., Mardis, Elaine R., Dhalla, Noreen, Ally, Adrian, Koboldt, Daniel C., Dooling, David J., Chuah, Eric, Holt, Robert A., Ding, Li, Kalicki-Veizer, Joelle, Chu, Andy, Mungall, Andrew J., Butterfield, Yaron S. N., Li, Haiyan I., Pleasance, Erin, Schmidt, Heather, Carlsen, Rebecca, Carter, Candace, McLellan, Michael D., Balasundaram, Miruna, Hirst, Carrie, Guin, Ranabir, Lee, Darlene, Coope, Robin J. N., Wilson, Richard K., McMichael, Joshua F., Mayo, Michael, and Gordon Robertson, A.
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skin and connective tissue diseases - Abstract
This Article from the Cancer Genome Atlas consortium describes a multifaceted analysis of primary breast cancers in 825 people. Exome sequencing, copy number variation, DNA methylation, messenger RNA arrays, microRNA sequencing and proteomic analyses were performed and integrated to shed light on breast-cancer heterogeneity. Just three genes — TP53, PIK3CA and GATA3 — are mutated at greater than 10% frequency across all breast cancers. Many subtype-associated and novel mutations were identified, as well as two breast-cancer subgroups with specific signalling-pathway signatures. The analyses also suggest that much of the clinically observable plasticity and heterogeneity occurs within, and not across, the major subtypes of breast cancer.
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- 2012
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15. Bioinformatics approach to investigate genetic differences underlying breast tumours with specific outcomes of adoptive T-cell therapy using a mouse model
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Chun, Hye-Jung
- Abstract
The immune system plays a critical role in cancer prevention and development. The stimulation of natural immune reaction in a cancer patient by adoptive T-cell therapy has shown success in treating metastatic melanomas and renal cell carcinomas. However, the use of adoptive T-cell therapy remains limited due to unpredictable outcomes and low response rates. In particular, adoptive T-cell therapy for breast cancer has not been realized, despite of the presence of immunogenic antigens such as over-expressed HER2, present in 20-40% of breast tumours. Using a unique transgenic mouse model, the global profiles of gene expression, miRNA abundance and single nucleotide variants (SNVs) were investigated to identify the molecular difference of murine mammary tumours with isogenic background, which exhibited complete regression (CR), partial regression (PR) or progressive disease (PD) outcome of adoptive T-cell therapy. The bioinformatics analyses were further carried out to identify uniquely activated pathways, prognostic gene expression signatures, the effect of post-transcriptional gene regulation and mutated genes unique to tumours with specific outcome. The largest differences in gene expression, miRNA and SNV profiles were repeatedly observed between the regressing (CR, PR) and non-regressing (PD) tumours, supporting the attribution of molecular differences to the immunotherapy outcome. In particular, the gene expression signatures derived from genes in immune-related pathways were experimentally validated to be strong prognostic markers for predicting the CR outcome. Comparison with the human breast cancer subtypes further revealed similarities of the non-regressing tumours with the basal subtype, and the regressing tumours with the HER2 subtype. The difference in miRNA profiles between CR and PR tumours suggested potential translational activities unique to PR, which was nearly identical to CR at the transcriptome level. The findings from this study show that tumour-derivied factors that either promote or suppress the immune system are responsible for the varying outcome of immunotherapy, and that the molecular characteristics can be further applied for the development of clinical prognostic tools, cancer vaccines and drug targets to enhance the efficacy of adoptive T-cell therapy.
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- 2010
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16. Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability.
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Zahir, Farah R., Mwenifumbo, Jill C., Chun, Hye-Jung E., Lim, Emilia L., Van Karnebeek, Clara D. M., Couse, Madeline, Mungall, Karen L., Lee, Leora, Makela, Nancy, Armstrong, Linlea, Boerkoel, Cornelius F., Langlois, Sylvie L., McGillivray, Barbara M., Jones, Steven J. M., Friedman, Jan M., and Marra, Marco A.
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NUCLEOTIDE sequencing ,INTELLECTUAL disabilities ,SINGLE nucleotide polymorphisms ,DELETION mutation ,GENETIC algorithms ,DATA analysis ,NON-coding DNA ,GENETICS - Abstract
Background: Intellectual Disability (ID) is among the most common global disorders, yet etiology is unknown in ~30% of patients despite clinical assessment. Whole genome sequencing (WGS) is able to interrogate the entire genome, providing potential to diagnose idiopathic patients. Methods: We conducted WGS on eight children with idiopathic ID and brain structural defects, and their normal parents; carrying out an extensive data analyses, using standard and discovery approaches. Results: We verified de novo pathogenic single nucleotide variants (SNV) in ARID1B c.1595delG and PHF6 c.820C > T, potentially causative de novo two base indels in SQSTM1 c.115_116delinsTA and UPF1 c.1576_1577delinsA, and de novo SNVs in CACNB3 c.1289G > A, and SPRY4 c.508 T > A, of uncertain significance. We report results from a large secondary control study of 2081 exomes probing the pathogenicity of the above genes. We analyzed structural variation by four different algorithms including de novo genome assembly. We confirmed a likely contributory 165 kb de novo heterozygous 1q43 microdeletion missed by clinical microarray. The de novo assembly resulted in unmasking hidden genome instability that was missed by standard re-alignment based algorithms. We also interrogated regulatory sequence variation for known and hypothesized ID genes and present useful strategies for WGS data analyses for non-coding variation. Conclusion: This study provides an extensive analysis of WGS in the context of ID, providing genetic and structural insights into ID and yielding diagnoses. [ABSTRACT FROM AUTHOR]
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- 2017
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17. Genome-Wide Profiles of Extra-cranial Malignant Rhabdoid Tumors Reveal Heterogeneity and Dysregulated Developmental Pathways.
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Chun, Hye-Jung E., Lim, Emilia L., Heravi-Moussavi, Alireza, Saberi, Saeed, Mungall, Karen L., Bilenky, Mikhail, Carles, Annaick, Tse, Kane, Shlafman, Inna, Zhu, Kelsey, Qian, Jenny Q., Palmquist, Diana L., He, An, Long, William, Goya, Rodrigo, Ng, Michelle, LeBlanc, Veronique G., Pleasance, Erin, Thiessen, Nina, and Wong, Tina
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TUMORS in children , *KIDNEY tumors , *BRAIN tumors , *MOLECULAR oncology , *MICRORNA , *GENE expression - Abstract
Summary Malignant rhabdoid tumors (MRTs) are rare lethal tumors of childhood that most commonly occur in the kidney and brain. MRTs are driven by SMARCB1 loss, but the molecular consequences of SMARCB1 loss in extra-cranial tumors have not been comprehensively described and genomic resources for analyses of extra-cranial MRT are limited. To provide such data, we used whole-genome sequencing, whole-genome bisulfite sequencing, whole transcriptome (RNA-seq) and microRNA sequencing (miRNA-seq), and histone modification profiling to characterize extra-cranial MRTs. Our analyses revealed gene expression and methylation subgroups and focused on dysregulated pathways, including those involved in neural crest development. [ABSTRACT FROM AUTHOR]
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- 2016
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18. Reversion to an Embryonic Alternative Splicing Program Enhances Leukemia Stem Cell Self-Renewal
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Holm, Frida Linnea, Hellqvist, Eva, Mason, Cayla N, Ali, Shawn, Delos Santos, Nathaniel, Barrett, Christian, Chun, Hye-Jung, Minden, Mark D., Richard, Moore, Marra, Marco A, Frazer, Kelly A., Sadarangani, Anil, and Jamieson, Catriona
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- 2015
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19. The Cancer Genome Atlas Pan-Cancer analysis project.
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Chang, Kyle, Creighton, Chad J, Davis, Caleb, Donehower, Lawrence, Drummond, Jennifer, Wheeler, David, Ally, Adrian, Balasundaram, Miruna, Birol, Inanc, Butterfield, Yaron S N, Chu, Andy, Chuah, Eric, Chun, Hye-Jung E, Dhalla, Noreen, Guin, Ranabir, Hirst, Martin, Hirst, Carrie, Holt, Robert A, Jones, Steven J M, and Lee, Darlene
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CANCER research ,INFORMATION storage & retrieval systems ,CHROMOSOME abnormalities ,TUMOR genetics ,TUMORS ,BIG data ,ONCOLOGY - Abstract
The authors discuss the aspects of The Cancer Genome Atlas (TCGA) Research Network's Pan-Cancer scheme, which investigated a significant number of tumors to find molecular aberrations at the RNA, DNA, and protein levels. The project was introduced in Santa Cruz, California from October 26-27, 2013, and aims to gather coherent data sets of tumor types. The authors add that the TCGA Pan-Cancer papers provide an important contribution to cancer research.
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- 2013
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20. Combined JAK/STAT5A and BCR-ABL Inhibition Impairs Blast Crisis Chronic Myeloid Leukemia Stem Cell Self-Renewal
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Recart, Angela C Court, Goff, Daniel J, Sadarangani, Anil, Mason, Cayla N, Shih, Alice Y., Wall, Russell, Leu, Heather S., Ma, Wenxue, Chun, Hye-Jung, Marra, Marco A., Barrett, Christian L, Frazer, Kelly A, and Jamieson, Catriona
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- 2012
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21. Analysis of 4,664 high-quality sequence-finished poplar full-length cDNA clones and their utility for the discovery of genes responding to insect feeding.
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Ralph, Steven G., E. Chun, Hye Jung, Cooper, Dawn, Kirkpatrick, Robert, Kolosova, Natalia, Gunter, Lee, Tuskan, Gerald A., Douglas, Carl J., Holt, Robert A., M. Jones, Steven J., Marra, Marco A., and Bohlmann, Jörg
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POPLARS , *ANTISENSE DNA , *PLANT genomes , *NUCLEOTIDE sequence , *PLANT proteins , *PLANT genetics - Abstract
Background: The genus Populus includes poplars, aspens and cottonwoods, which will be collectively referred to as poplars hereafter unless otherwise specified. Poplars are the dominant tree species in many forest ecosystems in the Northern Hemisphere and are of substantial economic value in plantation forestry. Poplar has been established as a model system for genomics studies of growth, development, and adaptation of woody perennial plants including secondary xylem formation, dormancy, adaptation to local environments, and biotic interactions. Results: As part of the poplar genome sequencing project and the development of genomic resources for poplar, we have generated a full-length (FL)-cDNA collection using the biotinylated CAP trapper method. We constructed four FLcDNA libraries using RNA from xylem, phloem and cambium, and green shoot tips and leaves from the P. trichocarpa Nisqually-1 genotype, as well as insect-attacked leaves of the P. trichocarpa x P. deltoides hybrid. Following careful selection of candidate cDNA clones, we used a combined strategy of paired end reads and primer walking to generate a set of 4,664 high-accuracy, sequence-verified FLcDNAs, which clustered into 3,990 putative unique genes. Mapping FLcDNAs to the poplar genome sequence combined with BLAST comparisons to previously predicted protein coding sequences in the poplar genome identified 39 FLcDNAs that likely localize to gaps in the current genome sequence assembly. Another 173 FLcDNAs mapped to the genome sequence but were not included among the previously predicted genes in the poplar genome. Comparative sequence analysis against Arabidopsis thaliana and other species in the non-redundant database of GenBank revealed that 11.5% of the poplar FLcDNAs display no significant sequence similarity to other plant proteins. By mapping the poplar FLcDNAs against transcriptome data previously obtained with a 15.5 K cDNA microarray, we identified 153 FLcDNA clones for genes that were differentially expressed in poplar leaves attacked by forest tent caterpillars. Conclusion: This study has generated a high-quality FLcDNA resource for poplar and the third largest FLcDNA collection published to date for any plant species. We successfully used the FLcDNA sequences to reassess gene prediction in the poplar genome sequence, perform comparative sequence annotation, and identify differentially expressed transcripts associated with defense against insects. The FLcDNA sequences will be essential to the ongoing curation and annotation of the poplar genome, in particular for targeting gaps in the current genome assembly and further improvement of gene predictions. The physical FLcDNA clones will serve as useful reagents for functional genomics research in areas such as analysis of gene functions in defense against insects and perennial growth. Sequences from this study have been deposited in NCBI GenBank under the accession numbers EF144175 to EF148838. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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22. Genomic Convergence toward Diploidy in Saccharomyces cerevisiae.
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Gerstein, Aleeza C., Chun, Hye-Jung E., Grant, Alex, and Otto, Sarah P.
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GENOMES , *SACCHAROMYCES cerevisiae , *COMPARATIVE genomic hybridization , *GENETICS , *BREEDING - Abstract
Genome size, a fundamental aspect of any organism, is subject to a variety of mutational and selection pressures. We investigated genome size evolution in haploid, diploid, and tetraploid initially isogenic lines of the yeast Saccharomyces cerevisiae. Over the course of ~1,800 generations of mitotic division, we observed convergence toward diploid DNA content in all replicate lines. This convergence was observed in both unstressful and stressful environments, although the rate of convergence was dependent on initial ploidy and evolutionary environment. Comparative genomic hybridization with microarrays revealed nearly euploid DNA content by the end of the experiment. As the vegetative life cycle of S. cerevisiae is predominantly diploid, this experiment provides evidence that genome size evolution is constrained, with selection favouring the genomic content typical of the yeast's evolutionary past. [ABSTRACT FROM AUTHOR]
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- 2006
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23. ATRT-09. INTEGRATIVE ANALYSES OF GENE REGULATORY LANDSCAPES REVEAL RHABDOID TUMOR SUBGROUPS WITH POSSIBLE IMMUNE MODULATION THROUGH EPIGENETIC DYSREGULATION.
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Johann, Pascal, Chun, Hye-Jung, Erkek, Serap, Iskar, Murat, Perlman, Elizabeth, Hasselblatt, Martin, Pfister, Stefan M, Marra, Marco, and Kool, Marcel
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- 2019
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24. Identification and Analyses of Extra-Cranial and Cranial Rhabdoid Tumor Molecular Subgroups Reveal Tumors with Cytotoxic T Cell Infiltration.
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Chun, Hye-Jung E., Johann, Pascal D., Milne, Katy, Zapatka, Marc, Buellesbach, Annette, Ishaque, Naveed, Iskar, Murat, Erkek, Serap, Wei, Lisa, Tessier-Cloutier, Basile, Lever, Jake, Titmuss, Emma, Topham, James T., Bowlby, Reanne, Chuah, Eric, Mungall, Karen L., Ma, Yussanne, Mungall, Andrew J., Moore, Richard A., and Taylor, Michael D.
- Abstract
Extra-cranial malignant rhabdoid tumors (MRTs) and cranial atypical teratoid RTs (ATRTs) are heterogeneous pediatric cancers driven primarily by SMARCB1 loss. To understand the genome-wide molecular relationships between MRTs and ATRTs, we analyze multi-omics data from 140 MRTs and 161 ATRTs. We detect similarities between the MYC subgroup of ATRTs (ATRT-MYC) and extra-cranial MRTs, including global DNA hypomethylation and overexpression of HOX genes and genes involved in mesenchymal development, distinguishing them from other ATRT subgroups that express neural-like features. We identify five DNA methylation subgroups associated with anatomical sites and SMARCB1 mutation patterns. Groups 1, 3, and 4 exhibit cytotoxic T cell infiltration and expression of immune checkpoint regulators, consistent with a potential role for immunotherapy in rhabdoid tumor patients. • MYC subgroup of cranial RTs (ATRT-MYC) is molecularly similar to extra-cranial RTs • Five DNA methylation subgroups are identified in RTs across multiple organ sites • Groups 1, 3, and 4 exhibit cytotoxic T cell infiltration and PD1 and PD-L1 expression Chun et al. report similarities between the MYC subgroup of cranial and extra-cranial rhabdoid tumors (RTs) at genetic, gene-expression, and epigenetic levels. They identify five DNA methylation subgroups of RTs across multiple organ sites, and some subgroups exhibit increased levels of immune cell infiltration and immune checkpoint expression. [ABSTRACT FROM AUTHOR]
- Published
- 2019
- Full Text
- View/download PDF
25. Comprehensive whole genome sequence analyses yields novel genetic and structural insights for Intellectual Disability
- Author
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Zahir, Farah R, Mwenifumbo, Jill C, Chun, Hye-Jung E, Lim, Emilia L, Van Karnebeek, Clara D M, Couse, Madeline, Mungall, Karen L, Lee, Leora, Makela, Nancy, Armstrong, Linlea, Boerkoel, Cornelius F, Langlois, Sylvie L, McGillivray, Barbara M, Jones, Steven J M, Friedman, Jan M, and Marra, Marco A
- Subjects
3. Good health - Abstract
Background: Intellectual Disability (ID) is among the most common global disorders, yet etiology is unknown in ~30% of patients despite clinical assessment. Whole genome sequencing (WGS) is able to interrogate the entire genome, providing potential to diagnose idiopathic patients. Methods: We conducted WGS on eight children with idiopathic ID and brain structural defects, and their normal parents; carrying out an extensive data analyses, using standard and discovery approaches. Results: We verified de novo pathogenic single nucleotide variants (SNV) in ARID1B c.1595delG and PHF6 c.820C > T, potentially causative de novo two base indels in SQSTM1 c.115_116delinsTA and UPF1 c.1576_1577delinsA, and de novo SNVs in CACNB3 c.1289G > A, and SPRY4 c.508 T > A, of uncertain significance. We report results from a large secondary control study of 2081 exomes probing the pathogenicity of the above genes. We analyzed structural variation by four different algorithms including de novo genome assembly. We confirmed a likely contributory 165 kb de novo heterozygous 1q43 microdeletion missed by clinical microarray. The de novo assembly resulted in unmasking hidden genome instability that was missed by standard re-alignment based algorithms. We also interrogated regulatory sequence variation for known and hypothesized ID genes and present useful strategies for WGS data analyses for non-coding variation. Conclusion: This study provides an extensive analysis of WGS in the context of ID, providing genetic and structural insights into ID and yielding diagnoses.
26. Integrated genomic characterization of endometrial carcinoma
- Author
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Fulton, Lucinda, Gabriel, Stacey B., Mardis, Elaine R., Kalicki-Veizer, Joelle, Dooling, David, Carlsen, Rebecca, Schmidt, Heather, Ally, Adrian, Chu, Andy, Chuah, Eric, Chun, Hye-Jung E., Balasundaram, Miruna, Dhalla, Noreen, Sougnez, Carrie, McLellan, Michael D., Kandoth, Cyriac, O’Laughlin, Michelle, Sivachenko, Andrey, Hirst, Carrie, Fulton, Robert, Birol, Inanc, Lander, Eric, Cibulskis, Kristian, Butterfield, Yaron S. N., Holt, Robert A., Ding, Li, Lawrence, Mike, Carter, Candace, Ye, Kai, Wilson, Richard K., Guin, Ranabir, and Getz, Gad
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endocrine system diseases ,neoplasms ,female genital diseases and pregnancy complications ,3. Good health - Abstract
SummaryWe performed an integrated genomic, transcriptomic, and proteomic characterization of 373 endometrial carcinomas using array- and sequencing-based technologies. Uterine serous tumors and ~25% of high-grade endometrioid tumors have extensive copy number alterations, few DNA methylation changes, low ER/PR levels, and frequent TP53 mutations. Most endometrioid tumors have few copy number alterations or TP53 mutations but frequent mutations in PTEN, CTNNB1, PIK3CA, ARID1A, KRAS and novel mutations in the SWI/SNF gene ARID5B. A subset of endometrioid tumors we identified had a dramatically increased transversion mutation frequency, and newly identified hotspot mutations in POLE. Our results classified endometrial cancers into four categories: POLE ultramutated, microsatellite instability hypermutated, copy number low, and copy number high. Uterine serous carcinomas share genomic features with ovarian serous and basal-like breast carcinomas. We demonstrated that the genomic features of endometrial carcinomas permit a reclassification that may impact post-surgical adjuvant treatment for women with aggressive tumors.
27. GLI2 inhibition abrogates human leukemia stem cell dormancy.
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Sadarangani, Anil, Pineda, Gabriel, Lennon, Kathleen M, Chun, Hye-Jung, Shih, Alice, Schairer, Annelie E, Court, Angela C, Goff, Daniel J, Prashad, Sacha L, Geron, Ifat, Wall, Russell, McPherson, John D, Moore, Richard A, Pu, Minya, Bao, Lei, Jackson-Fisher, Amy, Munchhof, Michael, VanArsdale, Todd, Reya, Tannishtha, and Morris, Sheldon R
- Abstract
Background: Dormant leukemia stem cells (LSC) promote therapeutic resistance and leukemic progression as a result of unbridled activation of stem cell gene expression programs. Thus, we hypothesized that 1) deregulation of the hedgehog (Hh) stem cell self-renewal and cell cycle regulatory pathway would promote dormant human LSC generation and 2) that PF-04449913, a clinical antagonist of the GLI2 transcriptional activator, smoothened (SMO), would enhance dormant human LSC eradication.Methods: To test these postulates, whole transcriptome RNA sequencing (RNA-seq), microarray, qRT-PCR, stromal co-culture, confocal fluorescence microscopic, nanoproteomic, serial transplantation and cell cycle analyses were performed on FACS purified normal, chronic phase (CP) chronic myeloid leukemia (CML), blast crisis (BC) phase CML progenitors with or without PF-04449913 treatment.Results: Notably, RNA-seq analyses revealed that Hh pathway and cell cycle regulatory gene overexpression correlated with leukemic progression. While lentivirally enforced GLI2 expression enhanced leukemic progenitor dormancy in stromal co-cultures, this was not observed with a mutant GLI2 lacking a transactivation domain, suggesting that GLI2 expression prevented cell cycle transit. Selective SMO inhibition with PF-04449913 in humanized stromal co-cultures and LSC xenografts reduced downstream GLI2 protein and cell cycle regulatory gene expression. Moreover, SMO inhibition enhanced cell cycle transit and sensitized BC LSC to tyrosine kinase inhibition in vivo at doses that spare normal HSC.Conclusion: In summary, while GLI2, forms part of a core HH pathway transcriptional regulatory network that promotes human myeloid leukemic progression and dormant LSC generation, selective inhibition with PF-04449913 reduces the dormant LSC burden thereby providing a strong rationale for clinical trials predicated on SMO inhibition in combination with TKIs or chemotherapeutic agents with the ultimate aim of obviating leukemic therapeutic resistance, persistence and progression. [ABSTRACT FROM AUTHOR]- Published
- 2015
- Full Text
- View/download PDF
28. Clinical and molecular risk factors in extracranial malignant rhabdoid tumors - Towards an integrated model of high-risk tumors.
- Author
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Fincke VE, Steinbügl M, Chun HE, Nemes K, Mucha M, Loßner M, Dorn F, Gastberger K, Bühner S, Sill M, Kröncke T, Siebert R, Melchior P, Furtwängler R, Schlesner M, Vokuhl C, Rocken C, Johann PD, and Frühwald MC
- Abstract
Purpose: Extracranial malignant rhabdoid tumors (eMRT) are a challenging entity. Despite the use of multimodal treatment approaches, therapy failure occurs in 55-67%. Molecular markers for identification of patients at increased risk for relapse or refractory (R/R) disease are not available. Clinical characteristics may only insufficiently predict the individual course of disease., Experimental Design: Using the EU-RHAB database, we analyzed a cohort of 121 patients with eMRT clinically. For 81 patients, molecular and clinical data was available, which was complemented with publicly available DNA molecular data from 92 further eMRT. We aimed to delineate molecular risk factors by dissecting the DNA methylome of these tumors. Moreover, we establish clinical characteristics and treatment details of R/R disease in a subcohort of 80 patients., Results: Using consensus hierarchical clustering, we identified three distinct subgroups, one of which (eMRT standard risk) was associated with significantly improved survival, irrespective of germline status and/or localization. At the transcriptome level, this subgroup is characterized by an overexpression of genes involved in muscle development. A relevant proportion of patients develop distant relapses or progressions; median time to the event was four months, underlining the need for early identification and risk-stratification of R/R disease. Overall survival was significantly decreased in patients with progressive disease when compared to relapse cases and reaching complete remission during salvage therapy provided a survival benefit., Conclusions: Our analysis of eMRT in this comprehensive cohort provides novel insights into the patterns of relapse and integrates molecular and clinical risk factors to guide clinical decision making.
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- 2024
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29. ADAR1 Activation Drives Leukemia Stem Cell Self-Renewal by Impairing Let-7 Biogenesis.
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Zipeto MA, Court AC, Sadarangani A, Delos Santos NP, Balaian L, Chun HJ, Pineda G, Morris SR, Mason CN, Geron I, Barrett C, Goff DJ, Wall R, Pellecchia M, Minden M, Frazer KA, Marra MA, Crews LA, Jiang Q, and Jamieson CHM
- Subjects
- Adenosine Deaminase genetics, Animals, Base Sequence, Fusion Proteins, bcr-abl metabolism, Gene Expression Regulation, Leukemic, Janus Kinase 2 metabolism, Leukemia, Myelogenous, Chronic, BCR-ABL Positive genetics, Mice, Neoplastic Stem Cells metabolism, Neoplastic Stem Cells pathology, RNA Editing genetics, RNA-Binding Proteins genetics, Signal Transduction genetics, Adenosine Deaminase metabolism, Cell Self Renewal genetics, Leukemia, Myelogenous, Chronic, BCR-ABL Positive pathology, MicroRNAs metabolism, RNA-Binding Proteins metabolism
- Abstract
Post-transcriptional adenosine-to-inosine RNA editing mediated by adenosine deaminase acting on RNA1 (ADAR1) promotes cancer progression and therapeutic resistance. However, ADAR1 editase-dependent mechanisms governing leukemia stem cell (LSC) generation have not been elucidated. In blast crisis chronic myeloid leukemia (BC CML), we show that increased JAK2 signaling and BCR-ABL1 amplification activate ADAR1. In a humanized BC CML mouse model, combined JAK2 and BCR-ABL1 inhibition prevents LSC self-renewal commensurate with ADAR1 downregulation. Lentiviral ADAR1 wild-type, but not an editing-defective ADAR1(E912A) mutant, induces self-renewal gene expression and impairs biogenesis of stem cell regulatory let-7 microRNAs. Combined RNA sequencing, qRT-PCR, CLIP-ADAR1, and pri-let-7 mutagenesis data suggest that ADAR1 promotes LSC generation via let-7 pri-microRNA editing and LIN28B upregulation. A small-molecule tool compound antagonizes ADAR1's effect on LSC self-renewal in stromal co-cultures and restores let-7 biogenesis. Thus, ADAR1 activation represents a unique therapeutic vulnerability in LSCs with active JAK2 signaling., (Copyright © 2016 Elsevier Inc. All rights reserved.)
- Published
- 2016
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30. Loss of the Notch effector RBPJ promotes tumorigenesis.
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Kulic I, Robertson G, Chang L, Baker JH, Lockwood WW, Mok W, Fuller M, Fournier M, Wong N, Chou V, Robinson MD, Chun HJ, Gilks B, Kempkes B, Thomson TA, Hirst M, Minchinton AI, Lam WL, Jones S, Marra M, and Karsan A
- Subjects
- Acetylation, Animals, Carcinogenesis metabolism, Cell Line, Tumor, Female, Gene Expression Regulation, Neoplastic, HEK293 Cells, Histones metabolism, Humans, Immunoglobulin J Recombination Signal Sequence-Binding Protein metabolism, Mice, Mice, Inbred NOD, Mice, SCID, Mutation, NF-kappa B metabolism, Neoplasms metabolism, Neoplasms pathology, Promoter Regions, Genetic genetics, Protein Binding, Proto-Oncogene Proteins c-myc metabolism, RNA Interference, Receptors, Notch metabolism, Reverse Transcriptase Polymerase Chain Reaction, Signal Transduction genetics, Transplantation, Heterologous, Carcinogenesis genetics, Immunoglobulin J Recombination Signal Sequence-Binding Protein genetics, Neoplasms genetics, Receptors, Notch genetics
- Abstract
Aberrant Notch activity is oncogenic in several malignancies, but it is unclear how expression or function of downstream elements in the Notch pathway affects tumor growth. Transcriptional regulation by Notch is dependent on interaction with the DNA-binding transcriptional repressor, RBPJ, and consequent derepression or activation of associated gene promoters. We show here that RBPJ is frequently depleted in human tumors. Depletion of RBPJ in human cancer cell lines xenografted into immunodeficient mice resulted in activation of canonical Notch target genes, and accelerated tumor growth secondary to reduced cell death. Global analysis of activated regions of the genome, as defined by differential acetylation of histone H4 (H4ac), revealed that the cell death pathway was significantly dysregulated in RBPJ-depleted tumors. Analysis of transcription factor binding data identified several transcriptional activators that bind promoters with differential H4ac in RBPJ-depleted cells. Functional studies demonstrated that NF-κB and MYC were essential for survival of RBPJ-depleted cells. Thus, loss of RBPJ derepresses target gene promoters, allowing Notch-independent activation by alternate transcription factors that promote tumorigenesis., (© 2015 Kulic et al.)
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- 2015
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31. Genomic and epigenomic landscapes of adult de novo acute myeloid leukemia.
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Ley TJ, Miller C, Ding L, Raphael BJ, Mungall AJ, Robertson A, Hoadley K, Triche TJ Jr, Laird PW, Baty JD, Fulton LL, Fulton R, Heath SE, Kalicki-Veizer J, Kandoth C, Klco JM, Koboldt DC, Kanchi KL, Kulkarni S, Lamprecht TL, Larson DE, Lin L, Lu C, McLellan MD, McMichael JF, Payton J, Schmidt H, Spencer DH, Tomasson MH, Wallis JW, Wartman LD, Watson MA, Welch J, Wendl MC, Ally A, Balasundaram M, Birol I, Butterfield Y, Chiu R, Chu A, Chuah E, Chun HJ, Corbett R, Dhalla N, Guin R, He A, Hirst C, Hirst M, Holt RA, Jones S, Karsan A, Lee D, Li HI, Marra MA, Mayo M, Moore RA, Mungall K, Parker J, Pleasance E, Plettner P, Schein J, Stoll D, Swanson L, Tam A, Thiessen N, Varhol R, Wye N, Zhao Y, Gabriel S, Getz G, Sougnez C, Zou L, Leiserson MD, Vandin F, Wu HT, Applebaum F, Baylin SB, Akbani R, Broom BM, Chen K, Motter TC, Nguyen K, Weinstein JN, Zhang N, Ferguson ML, Adams C, Black A, Bowen J, Gastier-Foster J, Grossman T, Lichtenberg T, Wise L, Davidsen T, Demchok JA, Shaw KR, Sheth M, Sofia HJ, Yang L, Downing JR, and Eley G
- Subjects
- Adult, CpG Islands, DNA Methylation, Epigenomics, Female, Gene Expression, Gene Fusion, Genome, Human, Humans, Leukemia, Myeloid, Acute classification, Male, MicroRNAs genetics, Middle Aged, Nucleophosmin, Sequence Analysis, DNA methods, Leukemia, Myeloid, Acute genetics, Mutation
- Abstract
Background: Many mutations that contribute to the pathogenesis of acute myeloid leukemia (AML) are undefined. The relationships between patterns of mutations and epigenetic phenotypes are not yet clear., Methods: We analyzed the genomes of 200 clinically annotated adult cases of de novo AML, using either whole-genome sequencing (50 cases) or whole-exome sequencing (150 cases), along with RNA and microRNA sequencing and DNA-methylation analysis., Results: AML genomes have fewer mutations than most other adult cancers, with an average of only 13 mutations found in genes. Of these, an average of 5 are in genes that are recurrently mutated in AML. A total of 23 genes were significantly mutated, and another 237 were mutated in two or more samples. Nearly all samples had at least 1 nonsynonymous mutation in one of nine categories of genes that are almost certainly relevant for pathogenesis, including transcription-factor fusions (18% of cases), the gene encoding nucleophosmin (NPM1) (27%), tumor-suppressor genes (16%), DNA-methylation-related genes (44%), signaling genes (59%), chromatin-modifying genes (30%), myeloid transcription-factor genes (22%), cohesin-complex genes (13%), and spliceosome-complex genes (14%). Patterns of cooperation and mutual exclusivity suggested strong biologic relationships among several of the genes and categories., Conclusions: We identified at least one potential driver mutation in nearly all AML samples and found that a complex interplay of genetic events contributes to AML pathogenesis in individual patients. The databases from this study are widely available to serve as a foundation for further investigations of AML pathogenesis, classification, and risk stratification. (Funded by the National Institutes of Health.).
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- 2013
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32. Effect of stellate ganglion block on laryngopharyngeal reflux disease.
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Chung JW, Chun HJ, Lee MS, Ahn KR, Kim CS, Kang KS, Yoo SH, Chung JH, Kim NS, Seo YH, Gong HY, and Lee YM
- Abstract
Background: Laryngopharyngeal reflux (LPR) disease has many symptoms such as globus pharyngeus, excessive throat clearing and hoarseness. The aim of this study was to investigate the effect of stellate ganglion block (SGB) in addition to proton pump inhibitors (PPI) on LPR., Methods: Fifty patients complaining of more than 3 typical LPR symptoms for over 3 months were enrolled in the study. The P group took PPI for 8 weeks. The SP group took PPI and interwent a series of 8 SGB procedure once a week during the period of treatment. The blocks were performed one at a time unilaterally on the right and left stellate ganglions by injecting 1% mepivacaine 6 ml. We evaluated the reflux symptom index (RSI) before treatment and following 4 weeks and 8 weeks of treatment in both groups., Results: After 4 weeks of treatment, the RSI of the P group decreased, but not significantly, to 16.6 ± 6.8 compared with the baseline value of 19.2 ± 2.7 (P = 0.093), whereas the RSI of the SP group decreased significantly to 9.8 ± 3.3 compared with the baseline value of 19.0 ± 4.7 (P = 0.000). After 8 weeks of treatment, the RSI of the P group decreased significantly to 13.7 ± 6.7 (P = 0.001) and the RSI of the SP group also decreased significantly to 7.7 ± 3.4 (P = 0.000). There were significant differences in the RSI between the two groups after 4 weeks (P = 0.000) and 8 weeks (P = 0.001) of treatment., Conclusions: The symptoms of LPR improved earlier when PPI therapy was combined with SGB compared with PPI therapy alone.
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- 2013
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33. A Pan-BCL2 inhibitor renders bone-marrow-resident human leukemia stem cells sensitive to tyrosine kinase inhibition.
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Goff DJ, Court Recart A, Sadarangani A, Chun HJ, Barrett CL, Krajewska M, Leu H, Low-Marchelli J, Ma W, Shih AY, Wei J, Zhai D, Geron I, Pu M, Bao L, Chuang R, Balaian L, Gotlib J, Minden M, Martinelli G, Rusert J, Dao KH, Shazand K, Wentworth P, Smith KM, Jamieson CA, Morris SR, Messer K, Goldstein LS, Hudson TJ, Marra M, Frazer KA, Pellecchia M, Reed JC, and Jamieson CH
- Subjects
- Blast Crisis metabolism, Blast Crisis pathology, Gossypol analogs & derivatives, Gossypol pharmacology, Humans, Leukemia metabolism, Proto-Oncogene Proteins c-bcl-2 antagonists & inhibitors, Reverse Transcriptase Polymerase Chain Reaction, Leukemia pathology, Neoplastic Stem Cells drug effects, Protein Kinase Inhibitors pharmacology, Proto-Oncogene Proteins c-bcl-2 metabolism
- Abstract
Leukemia stem cells (LSCs) play a pivotal role in the resistance of chronic myeloid leukemia (CML) to tyrosine kinase inhibitors (TKIs) and its progression to blast crisis (BC), in part, through the alternative splicing of self-renewal and survival genes. To elucidate splice-isoform regulators of human BC LSC maintenance, we performed whole-transcriptome RNA sequencing, splice-isoform-specific quantitative RT-PCR (qRT-PCR), nanoproteomics, stromal coculture, and BC LSC xenotransplantation analyses. Cumulatively, these studies show that the alternative splicing of multiple prosurvival BCL2 family genes promotes malignant transformation of myeloid progenitors into BC LSCS that are quiescent in the marrow niche and that contribute to therapeutic resistance. Notably, sabutoclax, a pan-BCL2 inhibitor, renders marrow-niche-resident BC LSCs sensitive to TKIs at doses that spare normal progenitors. These findings underscore the importance of alternative BCL2 family splice-isoform expression in BC LSC maintenance and suggest that the combinatorial inhibition of prosurvival BCL2 family proteins and BCR-ABL may eliminate dormant LSCs and obviate resistance., (Copyright © 2013 Elsevier Inc. All rights reserved.)
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- 2013
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34. Assessing the Prevalence of Recurrent Neck and Shoulder Pain in Korean High School Male Students: A Cross-sectional Observational Study.
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Koh MJ, Park SY, Woo YS, Kang SH, Park SH, Chun HJ, and Park EJ
- Abstract
Background: Neck and shoulder pain (NSP) is fairly common in adolescents, which is associated with a high prevalence of NSP found during adulthood as well; therefore, its significance during adolescence should not be underestimated. We surveyed the prevalence of recurrent NSP, lifestyle, and risk factors in Korean high school students, and examined the influence of recurrent NSP on the quality of life., Methods: Nine hundred thirty one male students (16-19 years old) from two academic high schools in Seoul were included in this study. The survey consisted of a questionnaire to assess the prevalence of recurrent NSP, with questions regarding having an occurrence more than once a week, characteristics of NSP, activity and lifestyle of the students, and the risk factors for recurrent NSP. A 36-item Short Form questionnaire was also examined., Results: We found that 44.3% of the high school students surveyed had recurrent NSP (more than once a week) and the overall prevalence of NSP was 79.1%. The average sitting time was 10.2 ± 2.7 h/day. 59.0% did not sit straight, 14.7% used assisting devices during reading, and 11.9% answered that they stretched regularly. Found from their self assessed health, frequent fatigue and frequent depressed mood presented significant associations with the higher prevalence of recurrent NSP., Conclusions: Korean high school students had a high prevalence of recurrent NSP. Clinical attention is needed for the prevention and resolution of recurrent NSP found in high school students.
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- 2012
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35. Allergic reactions after intravenous injection of methylprednisolone: A case report.
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Chung JH, Ahn KR, Chun HJ, Kim CS, Kang KS, Yoo SH, and Chung JW
- Abstract
Corticosteroid preparations have anti-inflammatory and immunosuppressive properties and are used widely for the treatment of allergic disorders and asthma. Steroids themselves, however, can induce hypersensitivity reactions. In this study, we report the case of a 66-year-old man with chronic obstructive pulmonary disease who exhibited an allergic reaction (rash, bronchospasm, bradycardia, severe hypotension and cardiac arrest) immediately after the intravenous injection of methylprednisolone sodium succinate. Despite cardiopulmonary resuscitation, sinus rhythm was not restored. The anesthesiologist should be aware that allergic reactions to corticosteroids can occur.
- Published
- 2009
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36. A conifer genomics resource of 200,000 spruce (Picea spp.) ESTs and 6,464 high-quality, sequence-finished full-length cDNAs for Sitka spruce (Picea sitchensis).
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Ralph SG, Chun HJ, Kolosova N, Cooper D, Oddy C, Ritland CE, Kirkpatrick R, Moore R, Barber S, Holt RA, Jones SJ, Marra MA, Douglas CJ, Ritland K, and Bohlmann J
- Subjects
- Base Sequence, Databases, Genetic, Gene Library, Genomics, Open Reading Frames, Sequence Analysis, DNA, DNA, Complementary genetics, DNA, Plant genetics, Expressed Sequence Tags, Genome, Plant, Picea genetics
- Abstract
Background: Members of the pine family (Pinaceae), especially species of spruce (Picea spp.) and pine (Pinus spp.), dominate many of the world's temperate and boreal forests. These conifer forests are of critical importance for global ecosystem stability and biodiversity. They also provide the majority of the world's wood and fiber supply and serve as a renewable resource for other industrial biomaterials. In contrast to angiosperms, functional and comparative genomics research on conifers, or other gymnosperms, is limited by the lack of a relevant reference genome sequence. Sequence-finished full-length (FL)cDNAs and large collections of expressed sequence tags (ESTs) are essential for gene discovery, functional genomics, and for future efforts of conifer genome annotation., Results: As part of a conifer genomics program to characterize defense against insects and adaptation to local environments, and to discover genes for the production of biomaterials, we developed 20 standard, normalized or full-length enriched cDNA libraries from Sitka spruce (P. sitchensis), white spruce (P. glauca), and interior spruce (P. glauca-engelmannii complex). We sequenced and analyzed 206,875 3'- or 5'-end ESTs from these libraries, and developed a resource of 6,464 high-quality sequence-finished FLcDNAs from Sitka spruce. Clustering and assembly of 147,146 3'-end ESTs resulted in 19,941 contigs and 26,804 singletons, representing 46,745 putative unique transcripts (PUTs). The 6,464 FLcDNAs were all obtained from a single Sitka spruce genotype and represent 5,718 PUTs., Conclusion: This paper provides detailed annotation and quality assessment of a large EST and FLcDNA resource for spruce. The 6,464 Sitka spruce FLcDNAs represent the third largest sequence-verified FLcDNA resource for any plant species, behind only rice (Oryza sativa) and Arabidopsis (Arabidopsis thaliana), and the only substantial FLcDNA resource for a gymnosperm. Our emphasis on capturing FLcDNAs and ESTs from cDNA libraries representing herbivore-, wound- or elicitor-treated induced spruce tissues, along with incorporating normalization to capture rare transcripts, resulted in a rich resource for functional genomics and proteomics studies. Sequence comparisons against five plant genomes and the non-redundant GenBank protein database revealed that a substantial number of spruce transcripts have no obvious similarity to known angiosperm gene sequences. Opportunities for future applications of the sequence and clone resources for comparative and functional genomics are discussed.
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- 2008
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37. Evaluation of two mobile telemedicine systems in the emergency room.
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Yoo SK, Park IC, Kim SH, Jo JH, Chun HJ, Jung SM, and Kim DK
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- Attitude of Health Personnel, Humans, Remote Consultation standards, Emergency Medical Services, Monitoring, Physiologic methods, Remote Consultation instrumentation
- Abstract
Two different prototype mobile telemedicine systems were constructed for use in the emergency room. They could transmit physiological signals as well as video pictures and sound. One device, the mobile emergency bed (MEB), was powered by battery and had a wireless connection to the local-area network (LAN). For the other, the mobile emergency server (MES), a patient monitor, video-camera and microphone were connected by a radio-frequency link to a server. A functional evaluation and a clinical evaluation (by 12 emergency doctors in six emergency centres) were performed on both prototypes. The bandwidth and the video quality of the MEB were better than those of the MES, because of the digital transmission of the wireless LAN. The MES was better for directing patient treatment and teleconsultation; the MEB was better for static patients in the emergency centre. In general, the MES was more suitable for practical emergency telemedicine work.
- Published
- 2003
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- View/download PDF
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