Recent work from our group and others has provided a wealth of information regarding the genetic makeup of lymphomas and other tumors. However, it is unclear how these genetic mutations actually cause the disease and the degree to which they are associated with known biological processes and outcome. In this proposal, we seek to study how different genetic mutations are associated with known lymphoma phenotypes and the context-dependent roles of genetic mutations.
High throughput sequencing and microarrays have provided new opportunities for unravelling tumor biology by the enumeration of differential mutation and/or expression of genes and oncogenic pathways. In this proposal, we develop a novel approach to better understanding the role of individual genes in the context of lymphomas. This knowledge is essential to the identification of better therapies in these patients.
|Guo, Xiaoge; Lehner, Kevin; O'Connell, Karen et al. (2015) SMRT Sequencing for Parallel Analysis of Multiple Targets and Accurate SNP Phasing. G3 (Bethesda) 5:2801-8|
|Zhang, Jenny; Jima, Dereje; Moffitt, Andrea B et al. (2014) The genomic landscape of mantle cell lymphoma is related to the epigenetically determined chromatin state of normal B cells. Blood 123:2988-96|
|Walsh, Katherine; McKinney, Matthew S; Love, Cassandra et al. (2013) PAK1 mediates resistance to PI3K inhibition in lymphomas. Clin Cancer Res 19:1106-15|
|Zhang, Jenny; Grubor, Vladimir; Love, Cassandra L et al. (2013) Genetic heterogeneity of diffuse large B-cell lymphoma. Proc Natl Acad Sci U S A 110:1398-403|
|Love, Cassandra; Sun, Zhen; Jima, Dereje et al. (2012) The genetic landscape of mutations in Burkitt lymphoma. Nat Genet 44:1321-5|