TY - JOUR A1 - Rohleder, Florian A1 - Huang, Jing A1 - Xue, Yutong A1 - Kuper, Jochen A1 - Round, Adam A1 - Seidman, Michael A1 - Wang, Weidong A1 - Kisker, Caroline T1 - FANCM interacts with PCNA to promote replication traverse of DNA interstrand crosslinks JF - Nucleic Acids Research N2 - FANCM is a highly conserved DNA remodeling enzyme that promotes the activation of the Fanconi anemia DNA repair pathway and facilitates replication traverse of DNA interstrand crosslinks. However, how FANCM interacts with the replication machinery to promote traverse remains unclear. Here, we show that FANCM and its archaeal homolog Hef from Thermoplasma acidophilum interact with proliferating cell nuclear antigen (PCNA), an essential co-factor for DNA polymerases in both replication and repair. The interaction is mediated through a conserved PIP-box; and in human FANCM, it is strongly stimulated by replication stress. A FANCM variant carrying a mutation in the PIP-box is defective in promoting replication traverse of interstrand crosslinks and is also inefficient in promoting FANCD2 monoubiquitination, a key step of the Fanconi anemia pathway. Our data reveal a conserved interaction mode between FANCM and PCNA during replication stress, and suggest that this interaction is essential for FANCM to aid replication machines to traverse DNA interstrand crosslinks prior to post-replication repair. KW - genome integrity KW - repair and replication KW - FANCM KW - proliferating cell nuclear antigen (PCNA) Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-175401 VL - 44 IS - 7 ER - TY - JOUR A1 - Lorenzin, Francesca A1 - Benary, Uwe A1 - Baluapuri, Apoorva A1 - Walz, Susanne A1 - Jung, Lisa Anna A1 - von Eyss, Björn A1 - Kisker, Caroline A1 - Wolf, Jana A1 - Eilers, Martin A1 - Wolf, Elmar T1 - Different promoter affinities account for specificity in MYC-dependent gene regulation JF - eLife N2 - Enhanced expression of the MYC transcription factor is observed in the majority of tumors. Two seemingly conflicting models have been proposed for its function: one proposes that MYC enhances expression of all genes, while the other model suggests gene-specific regulation. Here, we have explored the hypothesis that specific gene expression profiles arise since promoters differ in affinity for MYC and high-affinity promoters are fully occupied by physiological levels of MYC. We determined cellular MYC levels and used RNA- and ChIP-sequencing to correlate promoter occupancy with gene expression at different concentrations of MYC. Mathematical modeling showed that binding affinities for interactions of MYC with DNA and with core promoter-bound factors, such as WDR5, are sufficient to explain promoter occupancies observed in vivo. Importantly, promoter affinity stratifies different biological processes that are regulated by MYC, explaining why tumor-specific MYC levels induce specific gene expression programs and alter defined biological properties of cells. KW - MYC KW - promoter affinity KW - human KW - mathematical modeling KW - mouse KW - ChIP-sequencing KW - MIZ1 KW - cancer biology KW - cell biology KW - WDR5 Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-162913 VL - 5 ER - TY - JOUR A1 - Daryaee, Fereidoon A1 - Chang, Andrew A1 - Schiebel, Johannes A1 - Lu, Yang A1 - Zhang, Zhuo A1 - Kapilashrami, Kanishk A1 - Walker, Stephen G. A1 - Kisker, Caroline A1 - Sotriffer, Christoph A. A1 - Fisher, Stewart L. A1 - Tonge, Peter J. T1 - Correlating drug-target kinetics and in vivo pharmacodynamics: long residence time inhibitors of the FabI enoyl-ACP reductase JF - Chemical Science N2 - Drug-target kinetics enable time-dependent changes in target engagement to be quantified as a function of drug concentration. When coupled to drug pharmacokinetics (PK), drug-target kinetics can thus be used to predict in vivo pharmacodynamics (PD). Previously we described a mechanistic PK/PD model that successfully predicted the antibacterial activity of an LpxC inhibitor in a model of Pseudomonas aeruginosa infection. In the present work we demonstrate that the same approach can be used to predict the in vivo activity of an enoyl-ACP reductase (FabI) inhibitor in a model of methicillin-resistant Staphylococcus aureus (MRSA) infection. This is significant because the LpxC inhibitors are cidal, whereas the FabI inhibitors are static. In addition P. aeruginosa is a Gram-negative organism whereas MRSA is Gram-positive. Thus this study supports the general applicability of our modeling approach across antibacterial space. KW - Staphylococcus aureus KW - antibacterial activity KW - LpxC inhibitors KW - enoyl-ACP reductase inhibitors Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-191218 VL - 7 IS - 9 ER -