E
Edward J. Oakeley
Researcher at Novartis
Publications - 69
Citations - 13370
Edward J. Oakeley is an academic researcher from Novartis. The author has contributed to research in topics: DNA methylation & Gene. The author has an hindex of 40, co-authored 69 publications receiving 12349 citations. Previous affiliations of Edward J. Oakeley include Friedrich Miescher Institute for Biomedical Research.
Papers
More filters
Journal ArticleDOI
Chromosome-wide and promoter-specific analyses identify sites of differential DNA methylation in normal and transformed human cells.
Michael Weber,Jonathan J. Davies,David Wittig,Edward J. Oakeley,Michael Haase,Wan L. Lam,Dirk Schübeler +6 more
TL;DR: Analysis of 6,000 CpG islands showed that only a small set of promoters was methylated differentially, suggesting that aberrant methylation of CpGs island promoters in malignancy might be less frequent than previously hypothesized.
Journal ArticleDOI
Bacterial disease resistance in Arabidopsis through flagellin perception.
Cyril Zipfel,Silke Robatzek,Silke Robatzek,Lionel Navarro,Edward J. Oakeley,Jonathan D. G. Jones,Georg Felix,Georg Felix,Thomas Boller,Thomas Boller +9 more
TL;DR: It is shown that treatment of plants with flg22, a peptide representing the elicitor-active epitope of flagellin, induces the expression of numerous defence-related genes and triggers resistance to pathogenic bacteria in wild-type plants, but not in plants carrying mutations in the flageLLin receptor gene FLS2.
Journal ArticleDOI
DNA-binding factors shape the mouse methylome at distal regulatory regions
Michael B. Stadler,Rabih Murr,Lukas Burger,Lukas Burger,Robert Ivanek,Florian Lienert,Florian Lienert,Anne Schöler,Anne Schöler,Anne Schöler,Erik van Nimwegen,Christiane Wirbelauer,Edward J. Oakeley,Dimos Gaidatzis,Dimos Gaidatzis,Vijay K. Tiwari,Dirk Schübeler,Dirk Schübeler +17 more
TL;DR: It is shown that DNA-binding factors locally influence DNA methylation, enabling the identification of active regulatory regions and shows that neuronal and stem-cell methylomes are dependent on each other, as cell-type-specific LMRs are occupied by cell- type-specific transcription factors.
Journal ArticleDOI
Chemokine receptor CXCR4 downregulated by von Hippel–Lindau tumour suppressor pVHL
TL;DR: It is shown that the von Hippel–Lindau tumour suppressor protein pVHL negatively regulates CX CR4 expression owing to its capacity to target hypoxia-inducible factor (HIF) for degradation under normoxic conditions, resulting in HIF-dependent CXCR4 activation.
Journal ArticleDOI
A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium
Zhenqiang Su,Paweł P. Łabaj,Sheng Li,Jean Thierry-Mieg,Danielle Thierry-Mieg,Wei Shi,Charles Wang,Gary P. Schroth,Robert Setterquist,John F. Thompson,Wendell D. Jones,Wenzhong Xiao,Wenzhong Xiao,Weihong Xu,Roderick V. Jensen,Reagan Kelly,Joshua Xu,Ana Conesa,Cesare Furlanello,Hanlin Gao,Huixiao Hong,Nadereh Jafari,Stan Letovsky,Yang Liao,Fei Lu,Edward J. Oakeley,Zhiyu Peng,Craig A. Praul,Javier Santoyo-Lopez,Andreas Scherer,Tieliu Shi,Gordon K. Smyth,Frank Staedtler,Peter Sykacek,Xin Xing Tan,E. Aubrey Thompson,Jo Vandesompele,May D. Wang,Jian Wang,Russell D. Wolfinger,Jiri Zavadil,Jiri Zavadil,Scott S. Auerbach,Wenjun Bao,Hans Binder,Thomas M. Blomquist,Murray H. Brilliant,Pierre R. Bushel,Weimin Cai,Jennifer G. Catalano,Ching-Wei Chang,Tao Chen,Geng Chen,Rong Chen,Marco Chierici,Tzu Ming Chu,Djork-Arné Clevert,Youping Deng,Adnan Derti,Viswanath Devanarayan,Zirui Dong,Joaquín Dopazo,Tingting Du,Hong Fang,Yongxiang Fang,Mario Fasold,Anita Fernandez,Matthias Fischer,Pedro Furió-Tarí,James C. Fuscoe,Florian Caimet,Stan Gaj,Jorge Gandara,Huan Gao,Weigong Ge,Yoichi Gondo,Binsheng Gong,Meihua Gong,Zhuolin Gong,Bridgett Green,Chao Guo,Lei Guo,Li Wu Guo,James Hadfield,Jan Hellemans,Sepp Hochreiter,Meiwen Jia,Min Jian,Charles D. Johnson,Suzanne Kay,Jos C. S. Kleinjans,Samir Lababidi,Shawn Levy,Quan Zhen Li,Li Li,Peng Li,Yan Li,Haiqing Li,Jianying Li,Shiyong Li,Simon Lin,Francisco Javier López,Xin Lu,Heng Luo,Xiwen Ma,Joseph Meehan,Dalila B. Megherbi,Nan Mei,Bing Mu,Baitang Ning,Akhilesh Pandey,Javier Pérez-Florido,Roger Perkins,Ryan Peters,John H. Phan,Mehdi Pirooznia,Feng Qian,Tao Qing,Lucille Rainbow,Philippe Rocca-Serra,Laure Sambourg,Susanna-Assunta Sansone,Scott Schwartz,Ruchir R. Shah,Jie Shen,Todd M. Smith,Oliver Stegle,Nancy Stralis-Pavese,Elia Stupka,Yutaka Suzuki,Lee Thomas Szkotnicki,Matthew Tinning,Bimeng Tu,Joost H.M. van Delft,Alicia Vela-Boza,Elisa Venturini,Stephen J. Walker,Liqing Wan,Wei Wang,Jinhui Wang,Jun Wang,Jun Wang,Eric D. Wieben,James C. Willey,Po Yen Wu,Jiekun Xuan,Yong Yang,Zhan Ye,Ye Yin,Ying Yu,Yate Ching Yuan,John Zhang,Ke Zhang,Wenqian Zhang,Wenwei Zhang,Yanyan Zhang,Chen Zhao,Yuanting Zheng,Yiming Zhou,Paul Zumbo,Weida Tong,David P. Kreil,David P. Kreil,Christopher E. Mason,Leming Shi +164 more
TL;DR: The complete SEQC data sets, comprising >100 billion reads, provide unique resources for evaluating RNA-seq analyses for clinical and regulatory settings, and measurement performance depends on the platform and data analysis pipeline, and variation is large for transcript-level profiling.