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

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 poo...

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Autores principales: Wu, Yushuai, Li, Kaiyi, Li, Yaqian, Sun, Tao, Liu, Chang, Dong, Chunhui, Zhao, Tian, Tang, Decong, Chen, Xiaojie, Chen, Xiaofang, Liu, Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934649/
https://www.ncbi.nlm.nih.gov/pubmed/34893868
http://dx.doi.org/10.1093/nar/gkab1201
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author Wu, Yushuai
Li, Kaiyi
Li, Yaqian
Sun, Tao
Liu, Chang
Dong, Chunhui
Zhao, Tian
Tang, Decong
Chen, Xiaojie
Chen, Xiaofang
Liu, Peng
author_facet Wu, Yushuai
Li, Kaiyi
Li, Yaqian
Sun, Tao
Liu, Chang
Dong, Chunhui
Zhao, Tian
Tang, Decong
Chen, Xiaojie
Chen, Xiaofang
Liu, Peng
author_sort Wu, Yushuai
collection PubMed
description 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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spelling pubmed-89346492022-03-21 Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids Wu, Yushuai Li, Kaiyi Li, Yaqian Sun, Tao Liu, Chang Dong, Chunhui Zhao, Tian Tang, Decong Chen, Xiaojie Chen, Xiaofang Liu, Peng Nucleic Acids Res Methods Online 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. Oxford University Press 2021-12-10 /pmc/articles/PMC8934649/ /pubmed/34893868 http://dx.doi.org/10.1093/nar/gkab1201 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Methods Online
Wu, Yushuai
Li, Kaiyi
Li, Yaqian
Sun, Tao
Liu, Chang
Dong, Chunhui
Zhao, Tian
Tang, Decong
Chen, Xiaojie
Chen, Xiaofang
Liu, Peng
Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
title Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
title_full Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
title_fullStr Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
title_full_unstemmed Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
title_short Grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
title_sort grouped-seq for integrated phenotypic and transcriptomic screening of patient-derived tumor organoids
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8934649/
https://www.ncbi.nlm.nih.gov/pubmed/34893868
http://dx.doi.org/10.1093/nar/gkab1201
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