Publication Date:
2015-01-16
Description:
Article NK-cell and γδ-T cell lymphoma share clinic-pathological features; however the driving mutations are largely unknown. Here the authors, using a combination of RNA-Seq analysis, targeted re-sequencing and functional analysis, identify frequent activating mutations in STAT3 and STAT5B that may be driver mutations in these diseases. Nature Communications doi: 10.1038/ncomms7025 Authors: Can Küçük, Bei Jiang, Xiaozhou Hu, Wenyan Zhang, John K. C. Chan, Wenming Xiao, Nathan Lack, Can Alkan, John C. Williams, Kendra N. Avery, Pınar Kavak, Anna Scuto, Emel Sen, Philippe Gaulard, Lou Staudt, Javeed Iqbal, Weiwei Zhang, Adam Cornish, Qiang Gong, Qunpei Yang, Hong Sun, Francesco d’Amore, Sirpa Leppä, Weiping Liu, Kai Fu, Laurence de Leval, Timothy McKeithan, Wing C. Chan
Electronic ISSN:
2041-1723
Topics:
Biology
,
Chemistry and Pharmacology
,
Natural Sciences in General
,
Physics
Permalink