Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
Author(s) -
Yushuai Wu,
Kaiyi Li,
Yaqian Li,
Tao Sun,
Chang Liu,
Chunhui Dong,
Tian Zhao,
Decong Tang,
Xiaojie Chen,
Xiaofang Chen,
Peng Liu
Publication year - 2021
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gkab1201
Subject(s) - organoid , biology , computational biology , barcode , transcriptome , rna , phenotype , rna seq , genetics , gene , gene expression , computer science , operating system
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.
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