Riley Brien
University of Michigan
6 Papers
Riley Brien is an academic researcher from University of Michigan. The author has contributed to research in topics: Cancer & Transcriptome. The author has an hindex of 5, co-authored 6 publications.
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Papers
Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells
Yu Heng Cheng,Yu Chih Chen,Eric Lin,Riley Brien,Seungwon Jung,Yu-Ting Chen,Woncheol Lee,Zhijian Hao,Saswat Sahoo,Hyun Min Kang,Jason Cong,Monika L. Burness,Sunitha Nagrath,Max S. Wicha,Euisik Yoon +14 more
TL;DR: Hydro-Seq is presented, a contamination-free high-throughput hydrodynamic scRNA-seq barcoding technique for rare CTCs and Transcriptome analysis of these cells provides insights into monitoring target therapeutics and processes underlying tumor metastasis.
Single-cell RNA-sequencing of migratory breast cancer cells: discovering genes associated with cancer metastasis.
Yu Chih Chen,Saswat Sahoo,Riley Brien,Seungwon Jung,Brock Humphries,Woncheol Lee,Yu Heng Cheng,Zhixiong Zhang,Kathryn E. Luker,Max S. Wicha,Gary D. Luker,Euisik Yoon,Euisik Yoon +12 more
TL;DR: Using a microfluidic device that enriches migratory breast cancer cells with enhanced capacity for tumor formation and metastasis, genes differentially expressed in migratory cells are identified by high-throughput single-cell RNA-sequencing.
63
Functional Isolation of Tumor-Initiating Cells using Microfluidic-Based Migration Identifies Phosphatidylserine Decarboxylase as a Key Regulator.
Yu Chih Chen,Brock Humphries,Riley Brien,Anne E. Gibbons,Yu-Ting Chen,Tonela Qyli,Henry R. Haley,Matthew Pirone,Benjamin Chiang,Annie Xiao,Yu Heng Cheng,Yi Luan,Zhixiong Zhang,Jason Cong,Kathryn E. Luker,Gary D. Luker,Euisik Yoon +16 more
TL;DR: This research establishes not only a novel microfluidic technology for functional isolation of tumor-initiating cells regardless of cancer type, but also a new approach to identify essential regulators of these cells as targets for drug development.
Patent
Systems and methods for whole cell analysis
Euisik Yoon,Yu Heng Cheng,Yu Chih Chen,Riley Brien,Max S. Wicha +4 more
- 02 Aug 2018
TL;DR: In this article, the present disclosure relates to systems and methods for whole cell analysis, in particular, single cell genomic analysis (e.g., gene expression analysis) and gene expression profiling.
Scaling and automation of a high-throughput single-cell-derived tumor sphere assay chip.
TL;DR: The scaling and automation of high-throughput single-cell-derived tumor sphere assay chips are presented, facilitating the tracking of up to ∼10 000 cells on a chip with ∼76.5% capture rate, and heterogeneity in sphere growth dynamics is identified, indicating the cellular heterogeneity even within CSCs.