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Detection of functional protein domains by unbiased genome-wide forward genetic screening.

ABSTRACT: Establishing genetic and chemo-genetic interactions has played key roles in elucidating mechanisms by which certain chemicals perturb cellular functions. In contrast to gene disruption/depletion strategies to identify mechanisms of drug resistance, searching for point-mutational genetic suppressors that can identify separation- or gain-of-function mutations has been limited. Here, by demonstrating its utility in identifying chemical-genetic suppressors of sensitivity to the DNA topoisomerase I poison camptothecin or the poly(ADP-ribose) polymerase inhibitor olaparib, we detail an approach allowing systematic, large-scale detection of spontaneous or chemically-induced suppressor mutations in yeast or haploid mammalian cells in a short timeframe, and with potential applications in other haploid systems. In addition to applications in molecular biology research, this protocol can be used to identify drug targets and predict drug-resistance mechanisms. Mapping suppressor mutations on the primary or tertiary structures of protein suppressor hits provides insights into functionally relevant protein domains. Importantly, we show that olaparib resistance is linked to missense mutations in the DNA binding regions of PARP1, but not in its catalytic domain. This provides experimental support to the concept of PARP1 trapping on DNA as the prime source of toxicity to PARP inhibitors, and points to a novel olaparib resistance mechanism with potential therapeutic implications.

SUBMITTER: Herzog M

PROVIDER: S-EPMC5906580 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Detection of functional protein domains by unbiased genome-wide forward genetic screening.

Herzog Mareike M Puddu Fabio F Coates Julia J Geisler Nicola N Forment Josep V JV Jackson Stephen P SP

Scientific reports 20180418 1

Establishing genetic and chemo-genetic interactions has played key roles in elucidating mechanisms by which certain chemicals perturb cellular functions. In contrast to gene disruption/depletion strategies to identify mechanisms of drug resistance, searching for point-mutational genetic suppressors that can identify separation- or gain-of-function mutations has been limited. Here, by demonstrating its utility in identifying chemical-genetic suppressors of sensitivity to the DNA topoisomerase I p ...[more]

PMID: 29670134

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Project description:SPEACC-seq is a novel high-throughput method which enables forward genetic screens to identify cell-cell interaction mechanisms that uncovered an astrocyte-microglia regulatory circuit mediated by amphiregulin and IL33-ST2. signaling. Cell-cell interactions in the central nervous system (CNS) play central roles in neurologic diseases. However, little is known about the specific molecular pathways involved, and methods for their systematic identification are limited. For example, several factors mediate microglia-astrocyte interactions that promote CNS pathology, but less is known about regulatory interactions that limit tissue pathology. Here we report the development of SPEACC-seq (Stimulation, Perturbation, and Encapsulation of interACting Cells followed by Sequencing), a forward genetic screening platform which combines genome-wide CRISPR/Cas9 perturbations, cell co-culture in picoliter droplets, and microfluidic-based fluorescence activated droplet sorting to identify mechanisms of cell-cell communication. Using SPEACC-seq in combination with an in vivo perturb-seq screen, we identified microglia-produced amphiregulin as a suppressor of disease promoting astrocyte responses in experimental autoimmune encephalomyelitis (EAE), a pre-clinical model of multiple sclerosis (MS). The production of microglial amphiregulin was induced via ST2 signaling by IL-33 released from astrocytes during EAE. Indeed, the genetic inactivation of ST2 or amphiregulin in microglia, or IL-33 or amphiregulin signaling in astrocytes resulted in the worsening of EAE, suggesting that IL-33-induced microglial amphiregulin limits disease-promoting astrocyte responses associated with CNS pathology. This regulatory loop was also detected in human astrocytes and microglia both in vitro and in MS patient CNS samples. In summary, we developed SPEACC-seq, a high-throughput, droplet-based forward genetic screening platform for the identification of cell-cell interaction mechanisms, which identified a novel microglia-astrocyte negative feedback loop that limits CNS pathology.

Project description:BackgroundMacrophages, besides resting latently infected CD4+ T cells, constitute the predominant stable, major non-T cell HIV reservoirs. Therefore, it is essential to eliminate both latently infected CD4+ T cells and tissue macrophages to completely eradicate HIV in patients. Until now, most of the research focus is directed towards eliminating latently infected CD4+ T cells. However, few approaches have been directed at killing of HIV-infected macrophages either in vitro or in vivo. HIV infection dysregulates the expression of many host genes essential for the survival of infected cells. We postulated that exploiting this alteration may yield novel targets for the selective killing of infected macrophages.MethodsWe applied a pooled shRNA-based genome-wide approach by employing a lentivirus-based library of shRNAs to screen novel gene targets whose inhibition should selectively induce apoptosis in HIV-infected macrophages. Primary human MDMs were infected with HIV-eGFP and HIV-HSA viruses. Infected MDMs were transfected with siRNAs specific for the promising genes followed by analysis of apoptosis by flow cytometry using labelled Annexin-V in HIV-infected, HIV-exposed but uninfected bystander MDMs and uninfected MDMs. The results were analyzed using student's t-test from at least four independent experiments.ResultsWe validated 28 top hits in two independent HIV infection models. This culminated in the identification of four target genes, Cox7a2, Znf484, Cstf2t, and Cdk2, whose loss-of-function induced apoptosis preferentially in HIV-infected macrophages. Silencing these single genes killed significantly higher number of HIV-HSA-infected MDMs compared to the HIV-HSA-exposed, uninfected bystander macrophages, indicating the specificity in the killing of HIV-infected macrophages. The mechanism governing Cox7a2-mediated apoptosis of HIV-infected macrophages revealed that targeting respiratory chain complex II and IV genes also selectively induced apoptosis of HIV-infected macrophages possibly through enhanced ROS production.ConclusionsWe have identified above-mentioned novel genes and specifically the respiratory chain complex II and IV genes whose silencing may cause selective elimination of HIV-infected macrophages and eventually the HIV-macrophage reservoirs. The results highlight the potential of the identified genes as targets for eliminating HIV-infected macrophages in physiological environment as part of an HIV cure strategy.

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Detection of functional protein domains by unbiased genome-wide forward genetic screening.

Publications

Detection of functional protein domains by unbiased genome-wide forward genetic screening.

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