Ent review (Gaillard and Aguilera, 2013) and our own knowl- other scoring approaches (data not shown). Gratifyingly, several edge of the published literature. This category was then used STI-571 manufacturer pathways related to “nucleotide excision repair” were enriched as a “training category” to benchmark the individual experiments (adjusted p values of 2.04 3 10? to 9.78 3 10?), but otherALL0.RNAPII- and transcription-related: ASC complex Integrator super-complex PCF11 SCAF4 SCAF8 SCAF11 PHF3 HTATSF1 TCERG1 RPRD1A/B RPRDorder ABT-737 connections to other complexes and pathways: Nop56p-associated prerRNA complex ANAPC2 (APC) UBD (FAT10, ubiquitin-like) WDR82/PPP1R10/TOX4 complex Interesting enzymes of unknown connection: SRPK1 HIBADH PPP1CA PPP1R10 PPP1R12A PARD3 HERC1 STK19 PDIA3 P4HB1604 Cell Reports 15, 1597?610, May 17,RNAi-High RNAi-Low RNAP AP (MG132) CSB AP CSB AP (MG132) Chromatin Chromatin (MG132) Phospho Phospho (MG132) Ubi Ubi (MG132)pathways such as “mRNA translation and ribosomes,” “virus lifecycle, -transcription, and -translation,” and “mRNA splicing” were highly enriched in our data as well. We also noted a broad-based connection to “double-strand break repair,” which supports the idea that the response to UV-induced DNA damage is both multi-pronged and extensive. Importantly, most of the pathways were not highly enriched in the individual experiments (Table S11), consistent with the idea that the triggered pathways can be detected with higher confidence when taking several independent experimental approaches into consideration. Gene set enrichment TSA custom synthesis analysis (GSEA), originally developed for purchase Grazoprevir interpreting gene expression data (Subramanian et al., 2005), illustrates the enrichment of NER factors in our datasets: the proteins uncovered from this category (no less than 66 out of the 125 proteins in it) scored widely across the screens (Figure 6E; see also Figures S1B and S2). This was in contrast to some other gene ontology categories showing high overall enrichment, such as “ribosome-related” categories, where enrichment was based primarily on very high scores in the ubiquitylation screens (Figure S3). We also queried the screen results against the Corum database of protein complexes (http://mips.helmholtz-muenchen. de/genre/proj/corum/). Indeed, the importance of a single subunit of a protein complex scoring in a single screen might be considered doubtful, but if several subunits score in several screens, then the involvement of that complex can be stated with greater confidence. A list of Corum complexes and their association with the transcription-related DNA damage response can be found in Table S12. Besides detecting repair-associated complexes such as the ubiquitin ligase complex containing CSA, this analysis uncovered protein complexes that have not previously been connected to the UV damage response, such as Integrator, MeCP1 histone deacetylase complex, and several others. Enrichment analysis of the results from multiomic screening thus enables discovery of new systems-wide connections in the DNA damage response. Integrating with Other Databases To enable easy interrogation of the screen results, we developed a new database interface, named bioLOGIC (http:// www.biologic-db.org). Besides allowing visualization and superimposition of results from different selected screens, bioLOGIC also enables easy integration with public databases, such as those detailing common cancer drivers, or prior DNA damage-focused screens. Furthermore, it all.Ent review (Gaillard and Aguilera, 2013) and our own knowl- other scoring approaches (data not shown). Gratifyingly, several edge of the published literature. This category was then used pathways related to “nucleotide excision repair” were enriched as a “training category” to benchmark the individual experiments (adjusted p values of 2.04 3 10? to 9.78 3 10?), but otherALL0.RNAPII- and transcription-related: ASC complex Integrator super-complex PCF11 SCAF4 SCAF8 SCAF11 PHF3 HTATSF1 TCERG1 RPRD1A/B RPRDConnections to other complexes and pathways: Nop56p-associated prerRNA complex ANAPC2 (APC) UBD (FAT10, ubiquitin-like) WDR82/PPP1R10/TOX4 complex Interesting enzymes of unknown connection: SRPK1 HIBADH PPP1CA PPP1R10 PPP1R12A PARD3 HERC1 STK19 PDIA3 P4HB1604 Cell Reports 15, 1597?610, May 17,RNAi-High RNAi-Low RNAP AP (MG132) CSB AP CSB AP (MG132) Chromatin Chromatin (MG132) Phospho Phospho (MG132) Ubi Ubi (MG132)pathways such as “mRNA translation and ribosomes,” “virus lifecycle, -transcription, and -translation,” and “mRNA splicing” were highly enriched in our data as well. We also noted a broad-based connection to “double-strand break repair,” which supports the idea that the response to UV-induced DNA damage is both multi-pronged and extensive. Importantly, most of the pathways were not highly enriched in the individual experiments (Table S11), consistent with the idea that the triggered pathways can be detected with higher confidence when taking several independent experimental approaches into consideration. Gene set enrichment analysis (GSEA), originally developed for interpreting gene expression data (Subramanian et al., 2005), illustrates the enrichment of NER factors in our datasets: the proteins uncovered from this category (no less than 66 out of the 125 proteins in it) scored widely across the screens (Figure 6E; see also Figures S1B and S2). This was in contrast to some other gene ontology categories showing high overall enrichment, such as “ribosome-related” categories, where enrichment was based primarily on very high scores in the ubiquitylation screens (Figure S3). We also queried the screen results against the Corum database of protein complexes (http://mips.helmholtz-muenchen. de/genre/proj/corum/). Indeed, the importance of a single subunit of a protein complex scoring in a single screen might be considered doubtful, but if several subunits score in several screens, then the involvement of that complex can be stated with greater confidence. A list of Corum complexes and their association with the transcription-related DNA damage response can be found in Table S12. Besides detecting repair-associated complexes such as the ubiquitin ligase complex containing CSA, this analysis uncovered protein complexes that have not previously been connected to the UV damage response, such as Integrator, MeCP1 histone deacetylase complex, and several others. Enrichment analysis of the results from multiomic screening thus enables discovery of new systems-wide connections in the DNA damage response. Integrating with Other Databases To enable easy interrogation of the screen results, we developed a new database interface, named bioLOGIC (http:// www.biologic-db.org). Besides allowing visualization and superimposition of results from different selected screens, bioLOGIC also enables easy integration with public databases, such as those detailing common cancer drivers, or prior DNA damage-focused screens. Furthermore, it all.Ent review (Gaillard and Aguilera, 2013) and our own knowl- other scoring approaches (data not shown). Gratifyingly, several edge of the published literature. This category was then used pathways related to “nucleotide excision repair” were enriched as a “training category” to benchmark the individual experiments (adjusted p values of 2.04 3 10? to 9.78 3 10?), but otherALL0.RNAPII- and transcription-related: ASC complex Integrator super-complex PCF11 SCAF4 SCAF8 SCAF11 PHF3 HTATSF1 TCERG1 RPRD1A/B RPRDConnections to other complexes and pathways: Nop56p-associated prerRNA complex ANAPC2 (APC) UBD (FAT10, ubiquitin-like) WDR82/PPP1R10/TOX4 complex Interesting enzymes of unknown connection: SRPK1 HIBADH PPP1CA PPP1R10 PPP1R12A PARD3 HERC1 STK19 PDIA3 P4HB1604 Cell Reports 15, 1597?610, May 17,RNAi-High RNAi-Low RNAP AP (MG132) CSB AP CSB AP (MG132) Chromatin Chromatin (MG132) Phospho Phospho (MG132) Ubi Ubi (MG132)pathways such as “mRNA translation and ribosomes,” “virus lifecycle, -transcription, and -translation,” and “mRNA splicing” were highly enriched in our data as well. We also noted a broad-based connection to “double-strand break repair,” which supports the idea that the response to UV-induced DNA damage is both multi-pronged and extensive. Importantly, most of the pathways were not highly enriched in the individual experiments (Table S11), consistent with the idea that the triggered pathways can be detected with higher confidence when taking several independent experimental approaches into consideration. Gene set enrichment analysis (GSEA), originally developed for interpreting gene expression data (Subramanian et al., 2005), illustrates the enrichment of NER factors in our datasets: the proteins uncovered from this category (no less than 66 out of the 125 proteins in it) scored widely across the screens (Figure 6E; see also Figures S1B and S2). This was in contrast to some other gene ontology categories showing high overall enrichment, such as “ribosome-related” categories, where enrichment was based primarily on very high scores in the ubiquitylation screens (Figure S3). We also queried the screen results against the Corum database of protein complexes (http://mips.helmholtz-muenchen. de/genre/proj/corum/). Indeed, the importance of a single subunit of a protein complex scoring in a single screen might be considered doubtful, but if several subunits score in several screens, then the involvement of that complex can be stated with greater confidence. A list of Corum complexes and their association with the transcription-related DNA damage response can be found in Table S12. Besides detecting repair-associated complexes such as the ubiquitin ligase complex containing CSA, this analysis uncovered protein complexes that have not previously been connected to the UV damage response, such as Integrator, MeCP1 histone deacetylase complex, and several others. Enrichment analysis of the results from multiomic screening thus enables discovery of new systems-wide connections in the DNA damage response. Integrating with Other Databases To enable easy interrogation of the screen results, we developed a new database interface, named bioLOGIC (http:// www.biologic-db.org). Besides allowing visualization and superimposition of results from different selected screens, bioLOGIC also enables easy integration with public databases, such as those detailing common cancer drivers, or prior DNA damage-focused screens. Furthermore, it all.Ent review (Gaillard and Aguilera, 2013) and our own knowl- other scoring approaches (data not shown). Gratifyingly, several edge of the published literature. This category was then used pathways related to “nucleotide excision repair” were enriched as a “training category” to benchmark the individual experiments (adjusted p values of 2.04 3 10? to 9.78 3 10?), but otherALL0.RNAPII- and transcription-related: ASC complex Integrator super-complex PCF11 SCAF4 SCAF8 SCAF11 PHF3 HTATSF1 TCERG1 RPRD1A/B RPRDConnections to other complexes and pathways: Nop56p-associated prerRNA complex ANAPC2 (APC) UBD (FAT10, ubiquitin-like) WDR82/PPP1R10/TOX4 complex Interesting enzymes of unknown connection: SRPK1 HIBADH PPP1CA PPP1R10 PPP1R12A PARD3 HERC1 STK19 PDIA3 P4HB1604 Cell Reports 15, 1597?610, May 17,RNAi-High RNAi-Low RNAP AP (MG132) CSB AP CSB AP (MG132) Chromatin Chromatin (MG132) Phospho Phospho (MG132) Ubi Ubi (MG132)pathways such as “mRNA translation and ribosomes,” “virus lifecycle, -transcription, and -translation,” and “mRNA splicing” were highly enriched in our data as well. We also noted a broad-based connection to “double-strand break repair,” which supports the idea that the response to UV-induced DNA damage is both multi-pronged and extensive. Importantly, most of the pathways were not highly enriched in the individual experiments (Table S11), consistent with the idea that the triggered pathways can be detected with higher confidence when taking several independent experimental approaches into consideration. Gene set enrichment analysis (GSEA), originally developed for interpreting gene expression data (Subramanian et al., 2005), illustrates the enrichment of NER factors in our datasets: the proteins uncovered from this category (no less than 66 out of the 125 proteins in it) scored widely across the screens (Figure 6E; see also Figures S1B and S2). This was in contrast to some other gene ontology categories showing high overall enrichment, such as “ribosome-related” categories, where enrichment was based primarily on very high scores in the ubiquitylation screens (Figure S3). We also queried the screen results against the Corum database of protein complexes (http://mips.helmholtz-muenchen. de/genre/proj/corum/). Indeed, the importance of a single subunit of a protein complex scoring in a single screen might be considered doubtful, but if several subunits score in several screens, then the involvement of that complex can be stated with greater confidence. A list of Corum complexes and their association with the transcription-related DNA damage response can be found in Table S12. Besides detecting repair-associated complexes such as the ubiquitin ligase complex containing CSA, this analysis uncovered protein complexes that have not previously been connected to the UV damage response, such as Integrator, MeCP1 histone deacetylase complex, and several others. Enrichment analysis of the results from multiomic screening thus enables discovery of new systems-wide connections in the DNA damage response. Integrating with Other Databases To enable easy interrogation of the screen results, we developed a new database interface, named bioLOGIC (http:// www.biologic-db.org). Besides allowing visualization and superimposition of results from different selected screens, bioLOGIC also enables easy integration with public databases, such as those detailing common cancer drivers, or prior DNA damage-focused screens. Furthermore, it all.