Elucidation of the mutational landscape of human cancer has progressed rapidly and been accompanied by the development of therapeutics targeting mutant oncogenes. However, a comprehensive mapping of cancer dependencies has lagged behind and the discovery of therapeutic targets for counteracting tumor suppressor gene loss is needed. To identify vulnerabilities relevant to specific cancer subtypes, we conducted a large-scale RNAi screen in which viability effects of mRNA knockdown were assessed for 7,837 genes using an average of 20 shRNAs per gene in 398 cancer cell lines. We describe findings of this screen, outlining the classes of cancer dependency genes and their relationships to genetic, expression, and lineage features. In addition, we describe robust gene-interaction networks recapitulating both protein complexes and functional cooperation among complexes and pathways. This dataset along with a web portal is provided to the community to assist in the discovery and translation of new therapeutic approaches for cancer.
Loss-of-function genetic screens in model organisms have elucidated numerous biological processes, but the diploid genome of mammalian cells has precluded large-scale gene disruption. We used insertional mutagenesis to develop a screening method to generate null alleles in a human cell line haploid for all chromosomes except chromosome 8. Using this approach, we identified host factors essential for infection with influenza and genes encoding important elements of the biosynthetic pathway of diphthamide, which are required for the cytotoxic effects of diphtheria toxin and exotoxin A. We also identified genes needed for the action of cytolethal distending toxin, including a cell-surface protein that interacts with the toxin. This approach has both conceptual and practical parallels with genetic approaches in haploid yeast.
Insertional mutagenesis in a haploid background can lead to complete disruption of gene function1. Here we generate a population of human cells that contain insertions in >98% of their expressed genes. We established Phenotypic Interrogation via Tag Sequencing (PhITSeq) as a method to examine millions of mutant alleles through selection and parallel sequencing. Analysis of pools of selected cells rather than individual clones provides a rapid assessment of the spectrum of genes involved in phenotypes under study. This facilitates comparative screens as illustrated here for the family of cytolethal distending toxins (CDTs). CDTs are virulence factors secreted by a variety of pathogenic gram-negative bacteria that cause tissue damage at distinct anatomical sites2. We identified 743 mutations distributed over 12 human genes important for intoxication by four different CDTs. While related CDTs may share host factors, they also exploit unique host factors yielding a characteristic profile for each CDT.
Tunicamycin (TM) inhibits eukaryotic asparagine-linked glycosylation, protein palmitoylation, ganglioside production, proteoglycan synthesis, 3-hydroxy-3-methylglutaryl coenzyme-A reductase activity, and cell wall biosynthesis in bacteria. Treatment of cells with TM elicits endoplasmic reticulum stress and activates the unfolded protein response. Although widely used in laboratory settings for many years, it is unknown how TM enters cells. Here, we identify in an unbiased genetic screen a transporter of the major facilitator superfamily, major facilitator domain containing 2A (MFSD2A), as a critical mediator of TM toxicity. Cells without MFSD2A are TMresistant, whereas MFSD2A-overexpressing cells are hypersensitive. Hypersensitivity is associated with increased cellular TM uptake concomitant with an enhanced endoplasmic reticulum stress response. Furthermore, MFSD2A mutant analysis reveals an important function of the C terminus for correct intracellular localization and protein stability, and it identifies transmembrane helical amino acid residues essential for mediating TM sensitivity. Overall, our data uncover a critical role for MFSD2A by acting as a putative TM transporter at the plasma membrane.
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