Cancer transcriptome profiling at the juncture of clinical translation

被引：224

作者：

Cieslik, Marcin ^{[1
,2
]}

Chinnaiyan, Arul M. ^{[1
,2
,3
,4
,5
]}

机构：

[1] Univ Michigan, Michigan Ctr Translat Pathol, Ann Arbor, MI 48109 USA

[2] Univ Michigan, Dept Pathol, Ann Arbor, MI 48109 USA

[3] Univ Michigan, Comprehens Canc Ctr, Ann Arbor, MI 48109 USA

[4] Univ Michigan, Dept Urol, Ann Arbor, MI 48109 USA

[5] Univ Michigan, Howard Hughes Med Inst, Ann Arbor, MI 48109 USA

来源：

NATURE REVIEWS GENETICS | 2018年 / 19卷 / 02期

关键词：

GENE-EXPRESSION PATTERNS; CELL RNA-SEQ; ACUTE LYMPHOBLASTIC-LEUKEMIA; SINGLE NUCLEOTIDE VARIANTS; LONG NONCODING RNAS; GENOME-WIDE; BREAST-CANCER; COPY NUMBER; COMPUTATIONAL PURIFICATION; MOLECULAR SIGNATURES;

D O I：

10.1038/nrg.2017.96

中图分类号：

Q3 [遗传学];

学科分类号：

071007 [遗传学];

摘要：

Methodological breakthroughs over the past four decades have repeatedly revolutionized transcriptome profiling. Using RNA sequencing (RNA-seq), it has now become possible to sequence and quantify the transcriptional outputs of individual cells or thousands of samples. These transcriptomes provide a link between cellular phenotypes and their molecular underpinnings, such as mutations. In the context of cancer, this link represents an opportunity to dissect the complexity and heterogeneity of tumours and to discover new biomarkers or therapeutic strategies. Here, we review the rationale, methodology and translational impact of transcriptome profiling in cancer.

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收藏

页码：93 / 109

页数：17

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