Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells

被引:194
作者
Cheng, Yu-Heng [1 ]
Chen, Yu-Chih [1 ,2 ]
Lin, Eric [3 ]
Brien, Riley [1 ]
Jung, Seungwon [1 ,2 ]
Chen, Yu-Ting [4 ]
Lee, Woncheol [1 ]
Hao, Zhijian [1 ]
Sahoo, Saswat [5 ]
Kang, Hyun Min [6 ]
Cong, Jason [4 ]
Burness, Monika [7 ]
Nagrath, Sunitha [3 ]
Wicha, Max S. [2 ]
Yoon, Euisik [1 ,5 ]
机构
[1] Univ Michigan, Dept Elect Engn & Comp Sci, 1301 Beal Ave, Ann Arbor, MI 48109 USA
[2] Univ Michigan, Forbes Inst Canc Discovery, 2800 Plymouth Rd, Ann Arbor, MI 48109 USA
[3] Univ Michigan, Dept Chem Engn, 2300 Hayward St, Ann Arbor, MI 48109 USA
[4] UCLA, Dept Comp Sci, Boelter Hall, Los Angeles, CA 90095 USA
[5] Univ Michigan, Dept Biomed Engn, 2200 Bonisteel Blvd, Ann Arbor, MI 48109 USA
[6] Univ Michigan, Sch Publ Hlth, 1415 Washington Hts, Ann Arbor, MI 48109 USA
[7] Univ Michigan, Rogel Canc Ctr, 1500 E Med Ctr Dr, Ann Arbor, MI 48109 USA
关键词
CANCER STEM-CELLS; GENE-EXPRESSION; BREAST; MARKER; METASTASIS; TRANSITION; STATES; ALDH1;
D O I
10.1038/s41467-019-10122-2
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
070301 [无机化学]; 070403 [天体物理学]; 070507 [自然资源与国土空间规划学]; 090105 [作物生产系统与生态工程];
摘要
Molecular analysis of circulating tumor cells (CTCs) at single-cell resolution offers great promise for cancer diagnostics and therapeutics from simple liquid biopsy. Recent development of massively parallel single-cell RNA-sequencing (scRNA-seq) provides a powerful method to resolve the cellular heterogeneity from gene expression and pathway regulation analysis. However, the scarcity of CTCs and the massive contamination of blood cells limit the utility of currently available technologies. Here, we present Hydro-Seq, a scalable hydrodynamic scRNA-seq barcoding technique, for high-throughput CTC analysis. High cell-capture efficiency and contamination removal capability of Hydro-Seq enables successful scRNA-seq of 666 CTCs from 21 breast cancer patient samples at high throughput. We identify breast cancer drug targets for hormone and targeted therapies and tracked individual cells that express markers of cancer stem cells (CSCs) as well as of epithelial/mesenchymal cell state transitions. Transcriptome analysis of these cells provides insights into monitoring target therapeutics and processes underlying tumor metastasis.
引用
收藏
页数:11
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