TY - JOUR A1 - Diehl, Valentina A1 - Wegner, Martin A1 - Grumati, Paolo A1 - Husnjak, Koraljka A1 - Schaubeck, Simone A1 - Gubas, Andrea A1 - Shah, Varun Jayeshkumar A1 - Polat, Ibrahim H. A1 - Langschied, Felix A1 - Prieto García, Cristian A1 - Müller, Konstantin A1 - Kalousi, Alkmini A1 - Ebersberger, Ingo A1 - Brandts, Christian Hubertus A1 - Đikić, Ivan A1 - Kaulich, Manuel T1 - Minimized combinatorial CRISPR screens identify genetic interactions in autophagy T2 - Nucleic acids research N2 - Combinatorial CRISPR-Cas screens have advanced the mapping of genetic interactions, but their experimental scale limits the number of targetable gene combinations. Here, we describe 3Cs multiplexing, a rapid and scalable method to generate highly diverse and uniformly distributed combinatorial CRISPR libraries. We demonstrate that the library distribution skew is the critical determinant of its required screening coverage. By circumventing iterative cloning of PCR-amplified oligonucleotides, 3Cs multiplexing facilitates the generation of combinatorial CRISPR libraries with low distribution skews. We show that combinatorial 3Cs libraries can be screened with minimal coverages, reducing associated efforts and costs at least 10-fold. We apply a 3Cs multiplexing library targeting 12,736 autophagy gene combinations with 247,032 paired gRNAs in viability and reporter-based enrichment screens. In the viability screen, we identify, among others, the synthetic lethal WDR45B-PIK3R4 and the proliferation-enhancing ATG7-KEAP1 genetic interactions. In the reporter-based screen, we identify over 1,570 essential genetic interactions for autophagy flux, including interactions among paralogous genes, namely ATG2A-ATG2B, GABARAP-MAP1LC3B and GABARAP-GABARAPL2. However, we only observe few genetic interactions within paralogous gene families of more than two members, indicating functional compensation between them. This work establishes 3Cs multiplexing as a platform for genetic interaction screens at scale. Y1 - 2021 UR - http://publikationen.ub.uni-frankfurt.de/frontdoor/index/index/docId/73772 UR - https://nbn-resolving.org/urn:nbn:de:hebis:30:3-737722 SN - 1362-4962 N1 - Funding: Hessisches Ministerium für Wissenschaft und Kunst (HMWK) [LOEWE-CGT IIIL5-518/17.004, LOEWE-FCI IIIL5-519/03/03.001]; Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) [CEF-MC-EXC115/2, ECCPS-EXC147/2, CPI-EXC 2026, 259130777 – SFB 1177]. Funding for open access charge: DFG [SFB 1177 - 259130777] N1 - Sequencing data are provided as raw read count tables as Supplementary Tables S2-S5. RNAseq data are accessible from GEO (GSE166851). Plasmids encoding extended- and combinatorial autophagy libraries can be requested through the Goethe University Depository (https://innovectis.de/en/technologies/goethe-depository/, please select ‘Minimized combinatorial CRISPR screens identify genetic interactions in autophagy’) or directly contact the Corresponding Author. Custom scripts are available from GitHub (https://github.com/ManuelKaulich/3Cs-multiplexing). VL - 49 IS - 10 SP - 5684 EP - 5704 PB - Oxford Univ. Press CY - Oxford ER -