Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids

Author:

Wu Yushuai1,Li Kaiyi1,Li Yaqian2,Sun Tao3,Liu Chang1,Dong Chunhui2,Zhao Tian4,Tang Decong5,Chen Xiaojie5,Chen Xiaofang24,Liu Peng1ORCID

Affiliation:

1. Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing 100084, China

2. School of Biological Science and Medical Engineering, Beihang University, Beijing 100191, China

3. Department of General Surgery, Peking University Third Hospital, Beijing 100191, China

4. Beijing Organobio Corporation, Beijing 102206, China

5. Beijing NeoAntigen Biotechnology Co. Ltd, Beijing 102206, China

Abstract

Abstract Patient-derived tumor organoids (PDOs) have emerged as a reliable in vitro model for drug discovery. However, RNA sequencing-based analysis of PDOs treated with drugs has not been realized in a high-throughput format due to the limited quantity of organoids. Here, we translated a newly developed pooled RNA-seq methodology onto a superhydrophobic microwell array chip to realize an assay of genome-wide RNA output unified with phenotypic data (Grouped-seq). Over 10-fold reduction of sample and reagent consumption together with a new ligation-based barcode synthesis method lowers the cost to ∼$2 per RNA-seq sample. Patient-derived colorectal cancer (CRC) organoids with a number of 10 organoids per microwell were treated with four anti-CRC drugs across eight doses and analyzed by the Grouped-seq. Using a phenotype-assisted pathway enrichment analysis (PAPEA) method, the mechanism of actions of the drugs were correctly derived, illustrating the great potential of Grouped-seq for pharmacological screening with tumor organoids.

Funder

National Natural Science Foundation of China

Beijing Municipal Science and Technology Commission

Publisher

Oxford University Press (OUP)

Subject

Genetics

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