Results 31 to 40 of about 1,387,202 (292)

Genomic landscape of malignant mesotheliomas. [PDF]

Journal of Clinical Oncology, 2016
Abstract Understanding the genomic landscape of malignant mesothelioma may identify novel molecular drivers of this ultra-rare disease, which can lead to an expanded roster of targeted therapies and clinical trial options for patients with mesothelioma.
Shumei, Kato, Brett N, Tomson, Timon P H, Buys, Sheryl K, Elkin, Jennifer L, Carter, Razelle, Kurzrock   +5 more
openaire   +2 more sources

Genomic analyses point to a low evolutionary potential of prospective source populations for assisted migration in a forest herb

Evolutionary Applications, 2022
Climate change is increasingly impacting temperate forest ecosystems and many forest herbs might be unable to track the changing climate due to dispersal limitation.
Frederik Van Daele, Olivier Honnay, Hanne De Kort   +2 more
doaj   +1 more source

Geography, climate and shifts in host plants distribution explain the genomic variation in the cactus moth

Frontiers in Ecology and Evolution, 2023
Landscape heterogeneity and the host plant use are factors suggested to play determinant roles in shaping the evolutionary history of herbivorous insects.
Daniel Poveda-Martínez, Daniel Poveda-Martínez, Víctor Noguerales, Stephen D. Hight, Guillermo Logarzo, Brent C. Emerson, Laura Varone, Esteban Hasson   +7 more
doaj   +1 more source

Genomic Landscape of Meningiomas

Brain Pathology, 2010
AbstractMeningiomas are one of the most common adult brain tumors. For most patients, surgical excision is curative. However, up to 20% recur. Currently, the molecular determinants predicting recurrence and malignant transformation are lacking. We performed retrospective global genetic and genomic analysis of 85 meningioma samples of various grades ...
Yohan, Lee, Jason, Liu, Shilpa, Patel, Timothy, Cloughesy, Albert, Lai, Haumith, Farooqi, David, Seligson, Jun, Dong, Linda, Liau, Donald, Becker, Paul, Mischel, Soheil, Shams, Stanley, Nelson   +12 more
openaire   +3 more sources

The Somatic Genomic Landscape of Glioblastoma [PDF]

Cell, 2013
We describe the landscape of somatic genomic alterations based on multi-dimensional and comprehensive characterization of more than 500 glioblastoma tumors (GBMs). We identify several novel mutated genes as well as complex rearrangements of signature receptors including EGFR and PDGFRA.
Brennan, Cameron W., Verhaak, Roel G.W., McKenna, Aaron, Campos, Benito, Noushmehr, Houtan, Salama, Sofie R., Zheng, Siyuan, Chakravarty, Debyani, Sanborn, J. Zachary, Berman, Samuel H., Beroukhim, Rameen, Bernard, Brady, Wu, Chang-Jiun, Genovese, Giannicola, Shmulevich, Ilya, Barnholtz-Sloan, Jill, Zou, Lihua, Vegesna, Rahulsimham, Shukla, Sachet A., Ciriello, Giovanni, Yung, W.K., Zhang, Wei, Sougnez, Carrie, Mikkelsen, Tom, Aldape, Kenneth, Bigner, Darell D., Van Meir, Erwin G., Prados, Michael, Sloan, Andrew, Black, Keith L., Eschbacher, Jennifer, Finocchiaro, Gaetano, Friedman, William, Andrews, David W., Guha, Abhijit, Iacocca, Mary, O’Neill, Brian P., Foltz, Greg, Myers, Jerome, Weisenberger, Daniel J., Penny, Robert, Kucherlapati, Raju, Perou, Charles M., Hayes, D. Neil, Gibbs, Richard, Marra, Marco, Mills, Gordon B., Lander, Eric, Spellman, Paul, Wilson, Richard, Sander, Chris, Weinstein, John, Meyerson, Matthew, Gabriel, Stacey, Laird, Peter W., Haussler, David, Getz, Gad, Chin, Lynda, Benz, Christopher, Barnholtz-Sloan, Jill, Barrett, Wendi, Ostrom, Quinn, Wolinsky, Yingli, Black, Keith L., Bose, Bikash, Boulos, Paul T., Boulos, Madgy, Brown, Jenn, Czerinski, Christine, Eppley, Matthew, Iacocca, Mary, Kempista, Thelma, Kitko, Teresa, Koyfman, Yakov, Rabeno, Brenda, Rastogi, Pawan, Sugarman, Michael, Swanson, Patricia, Yalamanchii, Kennedy, Otey, Ilana P., Liu, Yingchun Spring, Xiao, Yonghong, Auman, J.Todd, Chen, Peng-Chieh, Hadjipanayis, Angela, Lee, Eunjung, Lee, Semin, Park, Peter J., Seidman, Jonathan, Yang, Lixing, Kucherlapati, Raju, Kalkanis, Steven, Mikkelsen, Tom, Poisson, Laila M., Raghunathan, Aditya, Scarpace, Lisa, Bernard, Brady, Bressler, Ryan, Eakin, Andrea, Iype, Lisa, Kreisberg, Richard B., Leinonen, Kalle, Reynolds, Sheila, Rovira, Hector, Thorsson, Vesteinn, Shmulevich, Ilya, Annala, Matti J., Penny, Robert, Paulauskis, Joseph, Curley, Erin, Hatfield, Martha, Mallery, David, Morris, Scott, Shelton, Troy, Shelton, Candace, Sherman, Mark, Yena, Peggy, Cuppini, Lucia, DiMeco, Francesco, Eoli, Marica, Finocchiaro, Gaetano, Maderna, Emanuela, Pollo, Bianca, Saini, Marco, Balu, Saianand, Hoadley, Katherine A., Li, Ling, Miller, C. Ryan, Shi, Yan, Topal, Michael D., Wu, Junyuan, Dunn, Gavin, Giannini, Caterina, O'Neill, Brian P., Aksoy, B. Arman, Antipin, Yevgeniy, Borsu, Laetitia, Berman, Samuel H., Brennan, Cameron W., Cerami, Ethan, Chakravarty, Debyani, Ciriello, Giovanni, Gao, Jianjiong, Gross, Benjamin, Jacobsen, Anders, Ladanyi, Marc, Lash, Alex, Liang, Yupu, Reva, Boris, Sander, Chris, Schultz, Nikolaus, Shen, Ronglai, Socci, Nicholas D., Viale, Agnes, Ferguson, Martin L., Chen, Qing-Rong, Demchok, John A., Dillon, Laura A.L., Shaw, Kenna R. Mills, Sheth, Margi, Tarnuzzer, Roy, Wang, Zhining, Yang, Liming, Davidsen, Tanja, Guyer, Mark S., Ozenberger, Bradley A., Sofia, Heidi J., Bergsten, Julie, Eckman, John, Harr, Jodi, Myers, Jerome, Smith, Christine, Tucker, Kelly, Winemiller, Cindy, Zach, Leigh Anne, Ljubimova, Julia Y., Eley, Greg, Ayala, Brenda, Jensen, Mark A., Kahn, Ari, Pihl, Todd D., Pot, David A., Wan, Yunhu, Eschbacher, Jennifer, Foltz, Greg, Hansen, Nathan, Hothi, Parvi, Lin, Biaoyang, Shah, Nameeta, Yoon, Jae-geun, Lau, Ching, Berens, Michael, Ardlie, Kristin, Beroukhim, Rameen, Carter, Scott L., Cherniack, Andrew D., Noble, Mike, Cho, Juok, Cibulskis, Kristian, DiCara, Daniel, Gehlenborg, Nils, Heiman, David, Harshyne, Larry, Stuart, Joshua, Yachnis, Anthony, Bogler, Oliver, Chen, Ken, Lipp, Eric   +207 more
openaire   +5 more sources

Genomic and common garden approaches yield complementary results for quantifying environmental drivers of local adaptation in rubber rabbitbrush, a foundational Great Basin shrub

Evolutionary Applications, 2021
The spatial structure of genomic and phenotypic variation across populations reflects historical and demographic processes as well as evolution via natural selection.
Trevor M. Faske, Alison C. Agneray, Joshua P. Jahner, Lana M. Sheta, Elizabeth A. Leger, Thomas L. Parchman   +5 more
doaj   +1 more source

Landscape evolutionary genomics [PDF]

Biology Letters, 2010
Tremendous advances in genetic and genomic techniques have resulted in the capacity to identify genes involved in adaptive evolution across numerous biological systems. One of the next major steps in evolutionary biology will be to determine how landscape-level geographical and environmental features are involved in the distribution of this functional ...
openaire   +2 more sources

Landscape genomics reveal signatures of local adaptation in barley (Hordeum vulgare L.)

Frontiers in Plant Science, 2015
Land plants are sessile organisms that cannot escape the adverse climatic conditions of a given environment. Hence, adaptation is one of the solutions to surviving in a challenging environment.
Tiegist Dejene eAbebe, Ali Ahmad eNaz, Jens eLéon   +2 more
doaj   +1 more source

Impact of roadside burning on genetic diversity in a high‐biomass invasive grass

Evolutionary Applications, 2022
The invasive grass–fire cycle is a widely documented feedback phenomenon in which invasive grasses increase vegetation flammability and fire frequency, resulting in further invasion and compounded effects on fire regimes.
Binyin Di, Jennifer Firn, Yvonne M. Buckley, Kate Lomas, Juli G. Pausas, Annabel L. Smith   +5 more
doaj   +1 more source

DesignGG: an R-package and web tool for the optimal design of genetical genomics experiments [PDF]

, 2009
BACKGROUND: High-dimensional biomolecular profiling of genetically different individuals in one or more environmental conditions is an increasingly popular strategy for exploring the functioning of complex biological systems.
Fu, Jingyuan; id_orcid, Jansen Ritsert C, Breitling, Rainer, Breitling, R., Jansen, R., Li, Y., Swertz, Morris A., Breitling Rainer, Swertz Morris A, Vera Gonzalo, Swertz, M., Vera, G., Swertz, Morris A.; id_orcid, Fu, Jingyuan, Morris A Swertz, Jansen, Ritsert C., Vera, Gonzalo, Rainer Breitling, Gonzalo Vera, Ritsert C Jansen, Jingyuan Fu, Yang Li, Fu Jingyuan, Li Yang, Fu, J.Y., Vera Rodríguez, Gonzalo, Li, Yang, Breitling, Rainer; id_orcid   +27 more
core   +1 more source