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Find video protocols related to scientific articles indexed in Pubmed.
Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia.
Nature
PUBLISHED: 04-06-2011
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Chronic lymphocytic leukaemia (CLL), the most frequent leukaemia in adults in Western countries, is a heterogeneous disease with variable clinical presentation and evolution. Two major molecular subtypes can be distinguished, characterized respectively by a high or low number of somatic hypermutations in the variable region of immunoglobulin genes. The molecular changes leading to the pathogenesis of the disease are still poorly understood. Here we performed whole-genome sequencing of four cases of CLL and identified 46 somatic mutations that potentially affect gene function. Further analysis of these mutations in 363 patients with CLL identified four genes that are recurrently mutated: notch 1 (NOTCH1), exportin 1 (XPO1), myeloid differentiation primary response gene 88 (MYD88) and kelch-like 6 (KLHL6). Mutations in MYD88 and KLHL6 are predominant in cases of CLL with mutated immunoglobulin genes, whereas NOTCH1 and XPO1 mutations are mainly detected in patients with unmutated immunoglobulins. The patterns of somatic mutation, supported by functional and clinical analyses, strongly indicate that the recurrent NOTCH1, MYD88 and XPO1 mutations are oncogenic changes that contribute to the clinical evolution of the disease. To our knowledge, this is the first comprehensive analysis of CLL combining whole-genome sequencing with clinical characteristics and clinical outcomes. It highlights the usefulness of this approach for the identification of clinically relevant mutations in cancer.
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International network of cancer genome projects.
, Thomas J Hudson, Warwick Anderson, Axel Artez, Anna D Barker, Cindy Bell, Rosa R Bernabé, M K Bhan, Fabien Calvo, Iiro Eerola, Daniela S Gerhard, Alan Guttmacher, Mark Guyer, Fiona M Hemsley, Jennifer L Jennings, David Kerr, Peter Klatt, Patrik Kolar, Jun Kusada, David P Lane, Frank Laplace, Lu Youyong, Gerd Nettekoven, Brad Ozenberger, Jane Peterson, T S Rao, Jacques Remacle, Alan J Schafer, Tatsuhiro Shibata, Michael R Stratton, Joseph G Vockley, Koichi Watanabe, Huanming Yang, Matthew M F Yuen, Bartha M Knoppers, Martin Bobrow, Anne Cambon-Thomsen, Lynn G Dressler, Stephanie O M Dyke, Yann Joly, Kazuto Kato, Karen L Kennedy, Pilar Nicolás, Michael J Parker, Emmanuelle Rial-Sebbag, Carlos M Romeo-Casabona, Kenna M Shaw, Susan Wallace, Georgia L Wiesner, Nikolajs Zeps, Peter Lichter, Andrew V Biankin, Christian Chabannon, Lynda Chin, Bruno Clément, Enrique De Alava, Françoise Degos, Martin L Ferguson, Peter Geary, D Neil Hayes, Amber L Johns, Arek Kasprzyk, Hidewaki Nakagawa, Robert Penny, Miguel A Piris, Rajiv Sarin, Aldo Scarpa, Marc van de Vijver, P Andrew Futreal, Hiroyuki Aburatani, Mònica Bayés, David D L Botwell, Peter J Campbell, Xavier Estivill, Sean M Grimmond, Ivo Gut, Martin Hirst, Carlos Lopez-Otin, Partha Majumder, Marco Marra, John D McPherson, Zemin Ning, Xose S Puente, Yijun Ruan, Hendrik G Stunnenberg, Harold Swerdlow, Victor E Velculescu, Richard K Wilson, Hong H Xue, Liu Yang, Paul T Spellman, Gary D Bader, Paul C Boutros, Paul Flicek, Gad Getz, Roderic Guigo, Guangwu Guo, David Haussler, Simon Heath, Tim J Hubbard, Tao Jiang, Steven M Jones, Qibin Li, Nuria López-Bigas, Ruibang Luo, Lakshmi Muthuswamy, B F Francis Ouellette, John V Pearson, Víctor Quesada, Benjamin J Raphael, Chris Sander, Terence P Speed, Lincoln D Stein, Joshua M Stuart, Jon W Teague, Yasushi Totoki, Tatsuhiko Tsunoda, Alfonso Valencia, David A Wheeler, Honglong Wu, Shancen Zhao, Guangyu Zhou, Mark Lathrop, Gilles Thomas, Teruhiko Yoshida, Myles Axton, Chris Gunter, Linda J Miller, Junjun Zhang, Syed A Haider, Jianxin Wang, Christina K Yung, Anthony Cros, Anthony Cross, Yong Liang, Saravanamuttu Gnaneshan, Jonathan Guberman, Jack Hsu, Don R C Chalmers, Karl W Hasel, Terry S H Kaan, William W Lowrance, Tohru Masui, Laura Lyman Rodriguez, Catherine Vergely, David D L Bowtell, Nicole Cloonan, Anna deFazio, James R Eshleman, Dariush Etemadmoghadam, Brooke B Gardiner, Brooke A Gardiner, James G Kench, Robert L Sutherland, Margaret A Tempero, Nicola J Waddell, Peter J Wilson, Steve Gallinger, Ming-Sound Tsao, Patricia A Shaw, Gloria M Petersen, Debabrata Mukhopadhyay, Ronald A DePinho, Sarah Thayer, Kamran Shazand, Timothy Beck, Michelle Sam, Lee Timms, Vanessa Ballin, Youyong Lu, Jiafu Ji, Xiuqing Zhang, Feng Chen, Xueda Hu, Qi Yang, Geng Tian, Lianhai Zhang, Xiaofang Xing, Xianghong Li, Zhenggang Zhu, Yingyan Yu, Jun Yu, Jörg Tost, Paul Brennan, Ivana Holcatova, David Zaridze, Alvis Brazma, Lars Egevard, Egor Prokhortchouk, Rosamonde Elizabeth Banks, Mathias Uhlén, Juris Viksna, Fredrik Ponten, Konstantin Skryabin, Ewan Birney, Ake Borg, Anne-Lise Børresen-Dale, Carlos Caldas, John A Foekens, Sancha Martin, Jorge S Reis-Filho, Andrea L Richardson, Christos Sotiriou, Giles Thoms, Laura van't Veer, Daniel Birnbaum, Hélène Blanché, Pascal Boucher, Sandrine Boyault, Jocelyne D Masson-Jacquemier, Iris Pauporté, Xavier Pivot, Anne Vincent-Salomon, Eric Tabone, Charles Theillet, Isabelle Treilleux, Paulette Bioulac-Sage, Thomas Decaens, Dominique Franco, Marta Gut, Didier Samuel, Jessica Zucman-Rossi, Roland Eils, Benedikt Brors, Jan O Korbel, Andrey Korshunov, Pablo Landgraf, Hans Lehrach, Stefan Pfister, Bernhard Radlwimmer, Guido Reifenberger, Michael D Taylor, Christof von Kalle, Partha P Majumder, Paolo Pederzoli, Rita A Lawlor, Massimo Delledonne, Alberto Bardelli, Thomas Gress, David Klimstra, Giuseppe Zamboni, Yusuke Nakamura, Satoru Miyano, Akihiro Fujimoto, Elias Campo, Silvia de Sanjosé, Emili Montserrat, Marcos Gonzalez-Díaz, Pedro Jares, Heinz Himmelbauer, Heinz Himmelbaue, Sílvia Beà, Samuel Aparicio, Douglas F Easton, Francis S Collins, Carolyn C Compton, Eric S Lander, Wylie Burke, Anthony R Green, Stanley R Hamilton, Olli P Kallioniemi, Timothy J Ley, Edison T Liu, Brandon J Wainwright.
Nature
PUBLISHED: 04-16-2010
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The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeutic management, and enable the development of new cancer therapies.
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Anti-aging activity of the Ink4/Arf locus.
Aging Cell
PUBLISHED: 02-26-2009
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The proteins encoded by the Ink4/Arf locus, p16Ink4a, p19Arf and p15Ink4b are major tumour suppressors that oppose aberrant mitogenic signals. The expression levels of the locus are progressively increased during aging and genome-wide association studies have linked the locus to a number of aging-associated diseases and frailty in humans. However, direct measurement of the global impact of the Ink4/Arf locus on organismal aging and longevity was lacking. In this work, we have examined the fertility, cancer susceptibility, aging and longevity of mice genetically modified to carry one (Ink4/Arf-tg) or two (Ink4/Arf-tg/tg) intact additional copies of the locus. First, increased gene dosage of Ink4/Arf impairs the production of male germ cells, and in the case of Ink4/Arf-tg/tg mice results in a Sertoli cell-only-like syndrome and a complete absence of sperm. Regarding cancer, there is a lower incidence of aging-associated cancer proportional to the Ink4/Arf gene dosage. Interestingly, increased Ink4/Arf gene dosage resulted in lower scores in aging markers and in extended median longevity. The increased survival was also observed in cancer-free mice indicating that cancer protection and delayed aging are separable activities of the Ink4/Arf locus. In contrast to these results, mice carrying one or two additional copies of the p53 gene (p53-tg and p53-tg/tg) had a normal longevity despite their increased cancer protection. We conclude that the Ink4/Arf locus has a global anti-aging effect, probably by favouring quiescence and preventing unnecessary proliferation.
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What is Visualize?

JoVE Visualize is a tool created to match the last 5 years of PubMed publications to methods in JoVE's video library.

How does it work?

We use abstracts found on PubMed and match them to JoVE videos to create a list of 10 to 30 related methods videos.

Video X seems to be unrelated to Abstract Y...

In developing our video relationships, we compare around 5 million PubMed articles to our library of over 4,500 methods videos. In some cases the language used in the PubMed abstracts makes matching that content to a JoVE video difficult. In other cases, there happens not to be any content in our video library that is relevant to the topic of a given abstract. In these cases, our algorithms are trying their best to display videos with relevant content, which can sometimes result in matched videos with only a slight relation.