Project description:The PARP family of proteins comprises 17 members, about two thirds of which are active mono- or poly(ADP-ribosyl)transferase enzymes that transfer the ADP-ribose moiety of NAD+ onto target proteins. In many cases, ADP-ribosylation, which plays critical roles in human diseases (e.g., cancer, heart disease, and neuropathies) is associated with abrogation of the molecular functions of the target. Discerning ADP-ribosylation events mediated by a specific PARP is challenging, since all PARPs use the same substrate (i.e., NAD+) and the available inhibitors lack the specificity needed to make such conclusions. In order to identify the direct and specific targets of individual PARP family members, we have developed a chemical and genetic approach known as analog sensitivity, in which alteration of a single conserved amino acid in the active site of the PARP protein creates a pocket that allows use of an unnatural NAD+ analog containing a steric moiety. We have functionalized the steric moiety with alkyne for use in click chemistry reactions. This approach, which is transferable to other PARP family members, creates substrate specificity where none previously existed, allowing PARP-specific post-translational modification followed by target visualization, or isolation of ADP-ribosylated targets using click chemistry techniques. We have used this technology in conjunction with mass spectrometry to identify hundreds of targets both unique to, as well as shared among, the nuclear PARP proteins, PARP-1, PARP-2, and PARP-3. We have also determined the genome-wide distribution of PARP-1-specific ADP-ribosylation by coupling this analog-sensitive PARP approach with chromatin cross-linking in method that we call “Click-ChIP-seq”. We observed that PARP-1-specific ADP-ribosylation is enriched at transcriptionally active promoters in proximity to sites of PARP-1 enrichment. In addition, we observed that NELF, an important regulator of RNA Polymerase II (Pol II) pausing, is not only a target of ADP-ribosylation by PARP-1 but also spatially correlated with chromatin-associated ADP-ribose and PARP-1 in Click-ChIP-seq and ChIP-seq assays, respectively. Given these observations, we hypothesized that ADP-ribosylation might modulate NELF function and result altered Pol II pausing. We have explored this possibility using global run-on coupled with deep sequencing (GRO-seq) in MCF-7 cells in which PARP-1 was depleted by RNAi-mediated knockdown. PARP-1 depletion caused an increase in Pol II pausing genome-wide. Taken together, these results suggest the intriguing possibility that ADP-ribosylation of NELF by PARP-1 may be an important and heretofore unknown step in the release of Pol II into productive elongation.

Project description:Chemical-genetic interactions-observed when the treatment of mutant cells with chemical compounds reveals unexpected phenotypes-contain rich functional information linking compounds to their cellular modes of action. To systematically identify these interactions, an array of mutants is challenged with a compound and monitored for fitness defects, generating a chemical-genetic interaction profile that provides a quantitative, unbiased description of the cellular function(s) perturbed by the compound. Genetic interactions, obtained from genome-wide double-mutant screens, provide a key for interpreting the functional information contained in chemical-genetic interaction profiles. Despite the utility of this approach, integrative analyses of genetic and chemical-genetic interaction networks have not been systematically evaluated. We developed a method, called CG-TARGET (Chemical Genetic Translation via A Reference Genetic nETwork), that integrates large-scale chemical-genetic interaction screening data with a genetic interaction network to predict the biological processes perturbed by compounds. In a recent publication, we applied CG-TARGET to a screen of nearly 14,000 chemical compounds in Saccharomyces cerevisiae, integrating this dataset with the global S. cerevisiae genetic interaction network to prioritize over 1500 compounds with high-confidence biological process predictions for further study. We present here a formal description and rigorous benchmarking of the CG-TARGET method, showing that, compared to alternative enrichment-based approaches, it achieves similar or better accuracy while substantially improving the ability to control the false discovery rate of biological process predictions. Additional investigation of the compatibility of chemical-genetic and genetic interaction profiles revealed that one-third of observed chemical-genetic interactions contributed to the highest-confidence biological process predictions and that negative chemical-genetic interactions overwhelmingly formed the basis of these predictions. We also present experimental validations of CG-TARGET-predicted tubulin polymerization and cell cycle progression inhibitors. Our approach successfully demonstrates the use of genetic interaction networks in the high-throughput functional annotation of compounds to biological processes.

Dataset Information

Chemical genetic discovery of PARP targets reveals a role for PARP-1 in transcription elongation.

Publications

Chemical genetic discovery of PARP targets reveals a role for PARP-1 in transcription elongation.

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