His primary areas of investigation include Cancer research, Cancer cell, Genetics, Gene and Cancer. His work carried out in the field of Cancer research brings together such families of science as Oncogene, KRAS and PI3K/AKT/mTOR pathway, Signal transduction, MAPK/ERK pathway. The concepts of his Cancer cell study are interwoven with issues in Epithelial–mesenchymal transition and Cell culture.
The Gene dosage and Systems biology research Jesse S. Boehm does as part of his general Genetics study is frequently linked to other disciplines of science, such as Genomic library, ORFeome and ORFS, therefore creating a link between diverse domains of science. In the field of Gene, his study on Genome and Gene expression profiling overlaps with subjects such as Genetic variants and Inference. He works in the field of Cancer, focusing on Carcinogenesis in particular.
Jesse S. Boehm mainly focuses on Cancer, Cancer research, Gene, Computational biology and Genetics. His studies in Cancer integrate themes in fields like Mutation, Genome and Bioinformatics. Jesse S. Boehm combines Cancer research and RNA interference in his studies.
His work in the fields of Gene, such as Gene expression profiling, KRAS, Allele and Phenotype, intersects with other areas such as Dependency. His Computational biology study which covers Genomics that intersects with Precision medicine. His research in the fields of DNA sequencing, Human genome and Cancer genome sequencing overlaps with other disciplines such as Population.
His primary areas of study are Cancer, Cancer research, Computational biology, RNA interference and Gene. Jesse S. Boehm regularly ties together related areas like Ex vivo in his Cancer studies. His Cancer research research is multidisciplinary, incorporating perspectives in Carcinogenesis, Cell culture and Suppressor.
The Computational biology study combines topics in areas such as Gene expression, CRISPR, Genomics, Cancer cell lines and Cancer biology. His biological study focuses on Genome. His Genome study combines topics in areas such as Exome sequencing, Regulation of gene expression and Gene regulatory network.
The scientist’s investigation covers issues in Cancer research, Computational biology, RNA interference, Cancer and Cell culture. As a member of one scientific family, he mostly works in the field of Cancer research, focusing on Cell cycle and, on occasion, Sarcoma, PI3K/AKT/mTOR pathway and Kinase. He has researched Computational biology in several fields, including Cancer type, In vitro model, CRISPR and Functional genomics.
His Cancer research incorporates themes from Exome sequencing, Precision medicine, Genome editing and Gene. His work in the fields of Gene, such as Gene regulatory network, Regulation of gene expression, Genome and Mutation, overlaps with other areas such as Statistical hypothesis testing. His study looks at the intersection of Cell culture and topics like Disulfiram with Growth inhibitory.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The landscape of somatic copy-number alteration across human cancers
Rameen Beroukhim;Craig H. Mermel;Craig H. Mermel;Dale Porter;Guo Wei.
Nature (2010)
Systematic RNA interference reveals that oncogenic KRAS-driven cancers require TBK1
David A. Barbie;Pablo Tamayo;Jesse S. Boehm;So Young Kim.
Nature (2009)
COT drives resistance to RAF inhibition through MAP kinase pathway reactivation
Cory M Johannessen;Jesse S. Boehm;So Young Kim;Sapana R. Thomas;Sapana R. Thomas.
Nature (2010)
A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles.
Aravind Subramanian;Rajiv Narayan;Steven M. Corsello;Steven M. Corsello;David D. Peck.
Cell (2017)
Defining a Cancer Dependency Map
Aviad Tsherniak;Francisca Vazquez;Francisca Vazquez;Phil G. Montgomery;Barbara A. Weir;Barbara A. Weir.
Cell (2017)
CDK8 is a colorectal cancer oncogene that regulates β-catenin activity
Ron Firestein;Adam Bass;So Young Kim;Ian Frederick Dunn.
Nature (2008)
Integrative genomic approaches identify IKBKE as a breast cancer oncogene.
Jesse S. Boehm;Jean J. Zhao;Jun Yao;So Young Kim.
Cell (2007)
Next-generation characterization of the Cancer Cell Line Encyclopedia
Mahmoud Ghandi;Franklin W. Huang;Franklin W. Huang;Franklin W. Huang;Judit Jané-Valbuena;Judit Jané-Valbuena;Gregory V. Kryukov.
Nature (2019)
Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells.
Robin M Meyers;Jordan G Bryan;James M McFarland;Barbara A Weir.
Nature Genetics (2017)
Synthetic lethal interaction between oncogenic KRAS dependency and STK33 suppression in human cancer cells.
Claudia Scholl;Stefan Fröhling;Ian F. Dunn;Anna C. Schinzel.
Cell (2009)
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