ORF screen analysis

VR Veronica Rendo
MS Michael Schubert
NK Nicholas Khuu
MR Maria F Suarez Peredo Rodriguez
DW Declan Whyte
XL Xiao Ling
AB Anouk van den Brink
KH Kaimeng Huang
MS Michelle Swift
YH Yizhou He
JZ Johanna Zerbib
RS Ross Smith
JR Jonne Raaijmakers
PB Pratiti Bandopadhayay
LG Lillian M Guenther
JH Justin H Hwang
AI Amanda Iniguez
SM Susan Moody
JS Ji-Heui Seo
ES Elizabeth H Stover
LG Levi Garraway
WH William C Hahn
KS Kimberly Stegmaier
RM René H Medema
DC Dipanjan Chowdhury
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The ORF screen (“toxicity”) analysis was performed in both a pan-cancer and tissue-specific manner. We repurposed the vehicle treatment arm of 17 independent ORFeome library screens that were conducted to assess drug sensitivity across eight tumor types (Genetic Perturbation Platform, Broad Institute). For each screen, cells were infected with the ORFeome pLX317 barcoded library (16,100 barcoded ORFs overexpressing 12,753 genes), selected with puromycin, and cultured for 14–21 days. We compared the high-throughput sequencing data from early (after puromycin selection) and late (after 14–21 days of cell culture) time points to estimate log2-fold changes and significance in ORF barcode representation using a linear model, where each barcode measurement for a given gene in any screen was considered an independent observation. All screens were included for the pan-cancer analysis, whereas the tissue-specific analysis was limited to screens that share a cancer type. We estimated gene-set level differences using a linear model on the Wald statistic of each gene in a set.

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