Hydro-Seq enables contamination-free high-throughput single-cell RNA-sequencing for circulating tumor cells.
Yu-Heng ChengYu-Chih ChenEric LinRiley BrienSeungwon JungYu-Ting ChenWoncheol LeeZhijian HaoSaswat SahooHyun Min KangJason CongMonika BurnessSunitha NagrathMax S WichaEuisik YoonPublished in: Nature communications (2019)
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.
Keyphrases
- single cell
- circulating tumor cells
- high throughput
- rna seq
- induced apoptosis
- gene expression
- circulating tumor
- cell cycle arrest
- cancer stem cells
- drinking water
- squamous cell carcinoma
- dna methylation
- small molecule
- stem cells
- emergency department
- health risk
- single molecule
- signaling pathway
- oxidative stress
- artificial intelligence
- climate change
- machine learning
- papillary thyroid
- deep learning
- squamous cell
- ultrasound guided
- cell free