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2. Comprehensive molecular characterization of clear cell renal cell carcinoma

Author

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
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3. Comprehensive genomic characterization of squamous cell lung cancers

Author

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.

Published
2012
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5. Identifying Aspects of the Post-Transcriptional Program Governing the Proteome of the Green Alga Micromonas pusilla.

Author

Waltman, Peter H., Guo, Jian, Reistetter, Emily Nahas, Purvine, Samuel, Ansong, Charles K., van Baren, Marijke J., Wong, Chee-Hong, Wei, Chia-Lin, Smith, Richard D., Callister, Stephen J., Stuart, Joshua M., and Worden, Alexandra Z.

Subjects
*PROTEOMICS, *GREEN algae, *MESSENGER RNA, *PROTEIN expression, *RNA sequencing, *PHOTOSYNTHESIS
Abstract

Micromonas is a unicellular motile alga within the Prasinophyceae, a green algal group that is related to land plants. This picoeukaryote (<2 μm diameter) is widespread in the marine environment but is not well understood at the cellular level. Here, we examine shifts in mRNA and protein expression over the course of the day-night cycle using triplicated mid-exponential, nutrient replete cultures of Micromonas pusilla CCMP1545. Samples were collected at key transition points during the diel cycle for evaluation using high-throughput LC-MS proteomics. In conjunction, matched mRNA samples from the same time points were sequenced using pair-ended directional Illumina RNA-Seq to investigate the dynamics and relationship between the mRNA and protein expression programs of M. pusilla. Similar to a prior study of the marine cyanobacterium Prochlorococcus, we found significant divergence in the mRNA and proteomics expression dynamics in response to the light:dark cycle. Additionally, expressional responses of genes and the proteins they encoded could also be variable within the same metabolic pathway, such as we observed in the oxygenic photosynthesis pathway. A regression framework was used to predict protein levels from both mRNA expression and gene-specific sequence-based features. Several features in the genome sequence were found to influence protein abundance including codon usage as well as 3’ UTR length and structure. Collectively, our studies provide insights into the regulation of the proteome over a diel cycle as well as the relationships between transcriptional and translational programs in the widespread marine green alga Micromonas. [ABSTRACT FROM AUTHOR]

Published
2016
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6. Comparative Microbial Modules Resource: Generation and Visualization of Multi-species Biclusters.

Author

Kacmarczyk, Thadeous, Waltman, Peter, Bate, Ashley, Eichenberger, Patrick, and Bonneau, Richard

Subjects
*COMPARATIVE genomics, *DATA analysis, *ESCHERICHIA coli, *SALMONELLA typhimurium, *NITROGEN metabolism
Abstract

The increasing abundance of large-scale, high-throughput datasets for many closely related organisms provides opportunities for comparative analysis via the simultaneous biclustering of datasets from multiple species. These analyses require a reformulation of how to organize multi-species datasets and visualize comparative genomic data analyses results. Recently, we developed a method, multi-species cMonkey, which integrates heterogeneous high-throughput data types from multiple species to identify conserved regulatory modules. Here we present an integrated data visualization system, built upon the Gaggle, enabling exploration of our method's results (available at http://meatwad.bio.nyu.edu/cmmr.html). The system can also be used to explore other comparative genomic datasets and outputs from other data analysis procedures - results from other multiple-species clustering programs or from independent clustering of different single-species datasets. We provide an example use of our system for two bacteria, Escherichia coli and Salmonella Typhimurium. We illustrate the use of our system by exploring conserved biclusters involved in nitrogen metabolism, uncovering a putative function for yjjl, a currently uncharacterized gene that we predict to be involved in nitrogen assimilation. [ABSTRACT FROM AUTHOR]

Published
2011
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7. FiberID-A technique to identify fibrous protein subclasses.

Author

Waltman, Peter, Blumer, Anselm, and Kaplan, David

Abstract

Fibrous proteins such as collagen, silk, and elastin play critical biological roles, yet they have been the subject of few projects that use computational techniques to predict either their class or their structure. In this article, we present FiberID, a simple yet effective method for identifying and distinguishing three fibrous protein subclasses from their primary sequences. Using a combination of amino acid composition and fast Fourier measurements, FiberID can classify fibrous proteins belonging to these subclasses with high accuracy by using two standard machine learning techniques (decision trees and Naïve Bayesian classifiers). After presenting our results, we present several fibrous sequences that are regularly misclassified by FiberID as sequences of potential interest for further study. Finally, we analyze the decision trees developed by FiberID for potential insights regarding the structure of these proteins. Proteins 2007. © 2006 Wiley-Liss, Inc. [ABSTRACT FROM AUTHOR]

Published
2007
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8. Multi-species integrative biclustering.

Author

Waltman P, Kacmarczyk T, Bate AR, Kearns DB, Reiss DJ, Eichenberger P, and Bonneau R

Subjects
Bacillus anthracis genetics, Bacillus subtilis genetics, Base Sequence, Computational Biology methods, Gene Expression Profiling methods, Gene Expression Regulation, Bacterial, Gene Regulatory Networks, Genome, Bacterial, Models, Genetic, Pattern Recognition, Automated, Algorithms, Bacillus genetics, Cluster Analysis, Data Mining, Genomics, Listeria monocytogenes genetics, Multigene Family
Abstract

We describe an algorithm, multi-species cMonkey, for the simultaneous biclustering of heterogeneous multiple-species data collections and apply the algorithm to a group of bacteria containing Bacillus subtilis, Bacillus anthracis, and Listeria monocytogenes. The algorithm reveals evolutionary insights into the surprisingly high degree of conservation of regulatory modules across these three species and allows data and insights from well-studied organisms to complement the analysis of related but less well studied organisms.

Published
2010
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