J
Jiri Zavadil
Researcher at International Agency for Research on Cancer
Publications - 177
Citations - 16917
Jiri Zavadil is an academic researcher from International Agency for Research on Cancer. The author has contributed to research in topics: Cancer & Regulation of gene expression. The author has an hindex of 56, co-authored 172 publications receiving 15027 citations. Previous affiliations of Jiri Zavadil include Academy of Sciences of the Czech Republic & Charles University in Prague.
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Journal ArticleDOI
TGF-beta and epithelial-to-mesenchymal transitions.
Jiri Zavadil,Erwin P. Bottinger +1 more
TL;DR: The distinct physiological contexts of EMT and the underlying molecular signaling networks controlled by TGF-β are reviewed.
Journal ArticleDOI
Antibiotics in early life alter the murine colonic microbiome and adiposity
Ilseung Cho,Shingo Yamanishi,Laura M. Cox,Barbara A. Methé,Jiri Zavadil,Kelvin Li,Zhan Gao,Douglas Mahana,Kartik Raju,Isabel Teitler,Huilin Li,Alexander V. Alekseyenko,Martin J. Blaser +12 more
TL;DR: A model of adiposity is generated by giving subtherapeutic antibiotic therapy to young mice and changes in the composition and capabilities of the gut microbiome are evaluated, demonstrating the alteration of early-life murine metabolic homeostasis through antibiotic manipulation.
Journal ArticleDOI
Tet2 loss leads to increased hematopoietic stem cell self-renewal and myeloid transformation.
Kelly Moran-Crusio,Linsey Reavie,Alan Shih,Omar Abdel-Wahab,Delphine Ndiaye-Lobry,Camille Lobry,Maria E. Figueroa,Aparna Vasanthakumar,Jay P. Patel,Xinyang Zhao,Fabiana Perna,Suveg Pandey,Jozef Madzo,Chun-Xiao Song,Qing Dai,Chuan He,Sherif Ibrahim,Miloslav Beran,Jiri Zavadil,Stephen D. Nimer,Stephen D. Nimer,Ari Melnick,Lucy A. Godley,Iannis Aifantis,Ross L. Levine +24 more
TL;DR: An animal model of conditional Tet2 loss in the hematopoietic compartment that leads to increased stem cell self-renewal in vivo as assessed by competitive transplant assays is reported.
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.
Journal ArticleDOI
Ezh1 and Ezh2 maintain repressive chromatin through different mechanisms.
Raphaël Margueron,Guohong Li,Kavitha Sarma,Alexandre Blais,Jiri Zavadil,Christopher L. Woodcock,Brian David Dynlacht,Danny Reinberg +7 more
TL;DR: It is reported that the mammalian homologs Ezh1 and Ezh2 form similar PRC2 complexes but exhibit contrasting repressive roles, and Ez h1 knockdown was ineffectual on global H3K27me2/3 levels, while Ezh 1 directly and robustly represses transcription from chromatinized templates and compacts chromatin in the absence of the methyltransferase cofactor SAM.