Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events.

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作者： Arghavan,Ashouri ^[1] ; Volkan I,Sayin ^[2] ; Jimmy,Van den Eynden ^[1] ; Simranjit X,Singh ^[2] ; Thales,Papagiannakopoulos ^[2] ; Erik,Larsson ^[1]

作者单位： Department of Medical Biochemistry and Cell Biology, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, SE-405 30 Gothenburg, Sweden. ^[1] Department of Pathology and Perlmutter Cancer Center, New York University School of Medicine, New York, New York 10016, USA. ^[2]

主题词细胞系, 肿瘤(Cell Line, Tumor);基因剂量(Gene Dosage);基因表达谱(Gene Expression Profiling);基因表达调控, 肿瘤(Gene Expression Regulation, Neoplastic);基因沉默(Gene Silencing);基因, p53(Genes, p53);谷氨酸-半胱氨酸连接酶(Glutamate-Cysteine Ligase);人类(Humans);分子序列注释(Molecular Sequence Annotation);突变(Mutation);NF-E2相关因子2(NF-E2-Related Factor 2);肿瘤(Neoplasms);RNA, 信使(RNA, Messenger);序列分析, RNA(Sequence Analysis, RNA);转录因子(Transcription Factors);肿瘤抑制蛋白质p53(Tumor Suppressor Protein p53)

DOI 10.1038/ncomms13197

PMID 28959951

发布时间 2022-03-16

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Nature communications

2016年7卷

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Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events.

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Pan-cancer transcriptomic analysis associates long non-coding RNAs with key mutational driver events.

Nature communications

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