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Kurt W Kohn

Publications and source records attributed to Kurt W Kohn.

At least 19 recordsLinked to original sources
PubMed2006

Depicting combinatorial complexity with the molecular interaction map notation.

To help us understand how bioregulatory networks operate, we need a standard notation for diagrams analogous to electronic circuit diagrams. Such diagrams must surmount the difficulties posed by complex patterns of protein modifications and multiprotein complexes. To meet that challenge, we have designed the molecular interaction map (MIM) notation (http://discover.nci.nih.gov/mim/). Here we show the advantages of the MIM notation for three important types of diagrams: (1) explicit diagrams that define specific pathway models for computer simulation; (2) heuristic maps that organize the available information about molecular interactions and encompass the possible processes or pathways; and (3) diagrams of combinatorially complex models. We focus on signaling from the epidermal growth factor receptor family (EGFR, ErbB), a network that reflects the major challenges of representing in a compact manner the combinatorial complexity of multimolecular complexes. By comparing MIMs with other diagrams of this network that have recently been published, we show the utility of the MIM notation. These comparisons may help cell and systems biologists adopt a graphical language that is unambiguous and generally understood.

Combinatorial Chemistry Techniques↗
PubMed2006

Hereditary ataxia SCAN1 cells are defective for the repair of transcription-dependent topoisomerase I cleavage complexes.

Hereditary spinocerebellar ataxia with axonal neuropathy (SCAN1) is caused by an inactivating mutation (H493R) in the enzyme tyrosyl-DNA phosphodiesterase (Tdp1), which removes blocked 3'-termini at DNA strand breaks. Using SCAN1 cells treated with the specific topoisomerase I (Top1) inhibitor camptothecin, we find enhanced levels of Top1 cleavage complexes (Top1cc) and defective reversal of Top1cc in SCAN1 Tdp1-deficient cells, indicating a direct involvement of Tdp1 in the repair of Top1cc. Because the defective removal of Top1cc and the hypersensitivity of SCAN1 cells to camptothecin are not affected by aphidicolin, we propose that Tdp1 is involved in the repair of Top1cc associated with transcription damage in SCAN1 cells.

Aphidicolin↗
PubMed2006

Cancers as wounds that do not heal: differences and similarities between renal regeneration/repair and renal cell carcinoma.

Cancers have been described as wounds that do not heal, suggesting that the two share common features. By comparing microarray data from a model of renal regeneration and repair (RRR) with reported gene expression in renal cell carcinoma (RCC), we asked whether those two processes do, in fact, share molecular features and regulatory mechanisms. The majority (77%) of the genes expressed in RRR and RCC were concordantly regulated, whereas only 23% were discordant (i.e., changed in opposite directions). The orchestrated processes of regeneration, involving cell proliferation and immune response, were reflected in the concordant genes. The discordant gene signature revealed processes (e.g., morphogenesis and glycolysis) and pathways (e.g., hypoxia-inducible factor and insulin-like growth factor-I) that reflect the intrinsic pathologic nature of RCC. This is the first study that compares gene expression patterns in RCC and RRR. It does so, in particular, with relation to the hypothesis that RCC resembles the wound healing processes seen in RRR. However, careful attention to the genes that are regulated in the discordant direction provides new insights into the critical differences between renal carcinogenesis and wound healing. The observations reported here provide a conceptual framework for further efforts to understand the biology and to develop more effective diagnostic biomarkers and therapeutic strategies for renal tumors and renal ischemia.

Animals↗
PubMed2006

4-nitroquinoline-1-oxide induces the formation of cellular topoisomerase I-DNA cleavage complexes.

RecQ helicase BLM-deficient cells are characteristically hypersensitive to 4-nitroquinoline-1-oxide (4NQO). We recently reported that isogenic BLM-deficient cells (PNSG13) are more sensitive than BLM-complemented cells (PNSF5) to camptothecin, which specifically traps topoisomerase I cleavage complexes (Top1cc). We now report that PNSG13 are also 3.5-fold more sensitive to 4NQO compared with PNSF5 and that 4NQO induces higher levels of Top1cc and reduced histone gamma-H2AX in PSNG13 than in PNSF5. Similarly, 4NQO induces more Top1cc in primary fibroblasts from a patient with Bloom syndrome than in normal human fibroblasts. 4NQO also induces Top1cc in colon cancer HCT116 and HT29 cells in a time- and concentration-dependent fashion. Of note, distinct from camptothecin, the Top1cc produced by 4NQO accumulate progressively after 4NQO addition and persist following 4NQO removal. The Top1cc induced by 4NQO are detectable by alkaline elution. To examine the functional relevance of the Top1cc induced by 4NQO, we used two stable topoisomerase I small interfering RNA (siRNA) cell lines derived from HCT116 and MCF7 cells. Both topoisomerase I siRNA cell lines are resistant to 4NQO, indicating that Top1cc contribute to the cellular activity of 4NQO. Collectively, these data show that 4NQO is an effective inducer of cellular Top1cc. Because 4NQO does not directly trap Top1cc in biochemical assays, we propose that active metabolites of 4NQO trap Top1cc by forming DNA adducts. Induction of Top1cc and histone gamma-H2AX by 4NQO may contribute to the cellular effects of 4NQO, including its selective activity toward RecQ helicase BLM-deficient cells.

4-Nitroquinoline-1-oxide↗
PubMed2006

Chk2 molecular interaction map and rationale for Chk2 inhibitors.

To organize the rapidly accumulating information on bioregulatory networks related to the histone gamma-H2AX-ATM-Chk2-p53-Mdm2 pathways in concise and unambiguous diagrams, we used the molecular interaction map notation (http://discover.nci.nih.gov/min). Molecular interaction maps are particularly useful for networks that include protein-protein binding and posttranslational modifications (e.g., phosphorylation). Both are important for nearly all of the proteins involved in DNA double-strand break signaling. Visualizing the regulatory circuits underlying cellular signaling may help identify key regulatory reactions and defects that can serve as targets for anticancer drugs.

Antineoplastic Agents↗
PubMed2006

A novel norindenoisoquinoline structure reveals a common interfacial inhibitor paradigm for ternary trapping of the topoisomerase I-DNA covalent complex.

We show that five topoisomerase I inhibitors (two indenoisoquinolines, two camptothecins, and one indolocarbazole) each intercalate between the base pairs flanking the cleavage site generated during the topoisomerase I catalytic cycle and are further stabilized by a network of hydrogen bonds with topoisomerase I. The interfacial inhibition paradigm described for topoisomerase I inhibitors can be generalized to a variety of natural products that trap macromolecular complexes as they undergo catalytic conformational changes that create hotspots for drug binding. Stabilization of such conformational states results in uncompetitive inhibition and exemplifies the relevance of screening for ligands and drugs that stabilize ("trap") these macromolecular complexes.

Camptothecin↗
PubMed2005

Molecular interaction maps of bioregulatory networks: a general rubric for systems biology.

A standard for bioregulatory network diagrams is urgently needed in the same way that circuit diagrams are needed in electronics. Several graphical notations have been proposed, but none has become standard. We have prepared many detailed bioregulatory network diagrams using the molecular interaction map (MIM) notation, and we now feel confident that it is suitable as a standard. Here, we describe the MIM notation formally and discuss its merits relative to alternative proposals. We show by simple examples how to denote all of the molecular interactions commonly found in bioregulatory networks. There are two forms of MIM diagrams. "Heuristic" MIMs present the repertoire of interactions possible for molecules that are colocalized in time and place. "Explicit" MIMs define particular models (derived from heuristic MIMs) for computer simulation. We show also how pathways or processes can be highlighted on a canonical heuristic MIM. Drawing a MIM diagram, adhering to the rules of notation, imposes a logical discipline that sharpens one's understanding of the structure and function of a network.

Animals↗
PubMed2005

Molecular interaction map of the p53 and Mdm2 logic elements, which control the Off-On switch of p53 in response to DNA damage.

The molecular network that controls responses to genotoxic stress is centered at p53 and Mdm2. Recent findings have shown this network to be more complex than previously envisioned. Using a notation specifically designed for circuit diagram-like representations of bioregulatory networks, we have prepared an updated molecular interaction map of the immediate connections of p53 and Mdm2, which are described as logic elements of the network. We use the map as the basis for a comprehensive review of current concepts of signal processing by these logic elements (an interactive version of the maps-eMIMs can be examined at ). We also used molecular interaction maps to propose a p53 Off-On switch in response to DNA damage.

Apoptosis↗
PubMed2005

Targeting chk2 kinase: molecular interaction maps and therapeutic rationale.

Most anticancer drugs presently used clinically target genomic DNA. The selectivity of these anticancer drugs for tumor tissues is probably due to tumor-specific defects suppressing cell cycle checkpoints and DNA repair, and enhancing apoptotic response in the tumor. We will review the molecular interactions within the ATM-Chk2 pathway implicating the DNA damage sensor kinases (ATM, ATR and DNA-PK), the adaptor BRCT proteins (Nbs1, Brca1, 53BP1, MDC1) and the effector kinases (Chk2, Chk1, Plk3, JNK, p38). The molecular interaction map convention (MIM) will be used for presenting this molecular network (http://discover.nci.nih.gov/mim/). A characteristic of the ATM-Chk2 pathway is its redundancy. First, ATM and Chk2 phosphorylate common substrates including p53, E2F1, BRCA1, and Chk2 itself, which suggests that Chk2 (also known as CHECK2, Cds1 in fission yeast, and Dmchk2 or Dmnk or Loki in the fruit fly) acts as a relay for ATM and/or as a salvage pathway when ATM is inactivated. Secondly, redundancy is apparent for the substrates, which can be phosphorylated/activated at similar residues by Chk2, Chk1, and the polo kinases (Plk's). Functionally, Chk2 can activate both apoptosis (via p53, E2F1 and PML) and cell cycle checkpoint (via Cdc25A and Cdc25C, p53, and BRCA1). We will review the short list of published Chk2 inhibitors. We will also propose a novel paradigm for screening interfacial inhibitors of Chk2. Chk2 inhibitors might be used to enhance the tumor selectivity of DNA targeted agents in p53-deficient tumors, and for the treatment of tumors whose growth depends on enhanced Chk2 activity.

Animals↗
PubMed2004

Properties of switch-like bioregulatory networks studied by simulation of the hypoxia response control system.

A complex bioregulatory network could be more easily comprehended if its essential function could be described by a small "core" subsystem, and if its response characteristics were switch-like. We tested this proposition by simulation studies of the hypoxia response control network. We hypothesized that a small subsystem governs the basics of the cellular response to hypoxia and that this response has a sharp oxygen-dependent transition. A molecular interaction map of the network was prepared, and an evolutionarily conserved core subsystem was extracted that could control the activity of hypoxia response promoter elements on the basis of oxygen concentration. The core subsystem included the hypoxia-inducible transcription factor (HIFalpha:ARNT heterodimer), proline hydroxylase, and the von Hippel-Lindau protein. Simulation studies showed that the same core subsystem can exhibit switch-like responses both to oxygen level and to HIFalpha synthesis rate, thus suggesting a mechanism for hypoxia response promoter element-dependent responses common to both hypoxia and growth factor signaling. The studies disclosed the mechanism responsible for the sharp transitions. We show how parameter sets giving switch-like behavior can be found and how this type of behavior provides a foundation for quantitative studies in cells.

Animals↗
PubMed2004

Apoptosis defects and chemotherapy resistance: molecular interaction maps and networks.

Intrinsic (innate) and acquired (adaptive) resistance to chemotherapy critically limits the outcome of cancer treatments. For many years, it was assumed that the interaction of a drug with its molecular target would yield a lethal lesion, and that determinants of intrinsic drug resistance should therefore be sought either at the target level (quantitative changes or/and mutations) or upstream of this interaction, in drug metabolism or drug transport mechanisms. It is now apparent that independent of the factors above, cellular responses to a molecular lesion can determine the outcome of therapy. This review will focus on programmed cell death (apoptosis) and on survival pathways (Bcl-2, Apaf-1, AKT, NF-kappaB) involved in multidrug resistance. We will present our molecular interaction mapping conventions to summarize the AKT and IkappaB/NF-kappaB networks. They complement the p53, Chk2 and c-Abl maps published recently. We will also introduce the 'permissive apoptosis-resistance' model for the selection of multidrug-resistant cells.

Animals↗
PubMed2004

Molecular interaction maps--a diagrammatic graphical language for bioregulatory networks.

Molecular interaction maps (MIMs) use a clear, accurate, and versatile graphical language to depict complex biological processes. Here, we discuss the main features of the MIM language and its potential uses. MIMs can be used as database resources and simulation guides, and can serve to generate new hypotheses regarding the roles of specific molecules in the bioregulatory networks that control progression through the cell cycle, differentiation, and cell death.

Animals↗
PubMed2003

Repair of and checkpoint response to topoisomerase I-mediated DNA damage.

Topoisomerase I (Top1) catalyzes two transesterification reactions: single-strand DNA cleavage and religation that are normally coupled for the relaxation of DNA supercoiling in transcribing and replicating chromatin. A variety of endogenous DNA modifications, potent anticancer drugs and carcinogens uncouple these two reactions, resulting in the accumulation of Top1 cleavage complexes. Top1 cleavage complexes damage DNA and kill cells by generating replication-mediated DNA double-strand breaks (DSBs) and by stalling transcription complexes. The repair of Top1-mediated DNA lesions involves integrated pathways that are conserved from yeasts to humans. Top1-mediated DNA damage and cell cycle checkpoint responses can be studied biochemically and genetically in yeast and human cells with known genetic defects. Defects in these repair/checkpoint pathways, which promote tumor development, explain, at least in part, the selectivity of camptothecins and other Top1 inhibitors for cancer cells.

Animals↗
PubMed2003

Differential induction of topoisomerase I-DNA cleavage complexes by the indenoisoquinoline MJ-III-65 (NSC 706744) and camptothecin: base sequence analysis and activity against camptothecin-resistant topoisomerases I.

Camptothecin (CPT) and its derivatives target mammalian DNA topoisomerase I (top1) and are among the most effective novel anticancer drugs. However, the activity of CPTs is limited by several factors, including drug inactivation by lactone ring opening, tumor drug resistance, and toxicity in patients. Novel top1 inhibitors are being searched to overcome such limitations and expand the anticancer spectrum of camptothecins. MJ-III-65 (NSC 706744) is among the most promising indenoisoquinolines to date. In this study, we show that MJ-III-65 enhances top1 cleavage complexes by both inhibiting their reversal (religation) more efficiently than CPT and by enhancing their formation. The top1 DNA cleavage complexes induced by MJ-III-65 exhibit a different distribution pattern compared with CPT and exhibit different base sequence preferences immediately around the top1 cleavage sites. Although CPTs have a preference for thymine at the (-1) position and guanine at the (+1) position of the top1-mediated DNA cleavage sites, MJ-III-65 can accommodate different base pairs at the (-1), (+1), or (+2) position, with a preference for a cytosine at the (-1) position on the scissile strand. Another difference with CPTs is the activity of MJ-III-65 against CPT-resistant top1 enzymes, implying that the amino acid residue interactions with top1 are different for MJ-III-65 and CPTs. As with CPT, MJ-III-65 is inactive against vaccinia top1. This study shows the specific molecular interactions of MJ-III-65 with top1 and demonstrates that MJ-III-65 is a potentially useful top1 inhibitor that enhances and traps top1 cleavage sites not sensitive to CPTs.

Animals↗
PubMed2003

Impact of p53 knockout and topotecan treatment on gene expression profiles in human colon carcinoma cells: a pharmacogenomic study.

To uncover transcriptional stress responses related to p53, we used cDNA microarrays (National Cancer Institute Oncochips comprising 6500 different genes) to characterize the gene expression profiles of wild-type p53 HCT-116 cells and an isogenic p53 knockout counterpart after treatment with topotecan, a specific topoisomerase I inhibitor. The use of the p53 knockout cells had the advantage over p53-overexpressing systems in that p53 activation is mediated physiologically. RNA was extracted after low (0.1 microM)- and high (1 microM)-dose topotecan at multiple time points within the first 6 h of treatment. To facilitate simultaneous study of the p53 status and pharmacological effects on gene expression, we developed a novel "cross-referenced network" experimental design and used multiple linear least squares fitting to optimize estimates of relative transcript levels in the network of experimental conditions. Approximately 10% of the transcripts were up- or down-regulated in response to topotecan in the p53+/+ cells, whereas only 1% of the transcripts changed in the p53-/- cells, indicating that p53 has a broad effect on the transcriptional response to this stress. Individual transcripts and their relationships were analyzed using clustered image maps and by a novel two-dimensional analysis/visualization, gene expression map, in which each gene expression level is represented as a function of both the genotypic/phenotypic difference (i.e., p53 status) and the treatment effect (i.e., of topotecan dose and time of exposure). Overall, drug-induced p53 activation was associated with a coherent genetic program leading to cell cycle arrest and apoptosis. We identified novel p53-induced and DNA damage-induced genes (the proapoptotic SIVA gene and a set of transforming growth factor beta-related genes). Genes induced independently of p53 included the antiapoptotic cFLIP gene and known stress genes related to the mitogen-activated protein kinase pathway and the Fos/Jun pathway. Genes that were negatively regulated by p53 included members of the antiapoptotic protein chaperone heat shock protein 70 family. Finally, among the p53-dependent genes whose expression was independent of drug treatment was S100A4, a small Ca(2+)-binding protein that has recently been implicated in p53 binding and regulation. The new experimental design and gene expression map analysis introduced here are applicable to a wide range of studies that encompass both treatment effects and genotypic or phenotypic differences.

Antineoplastic Agents↗
PubMed2003

Apoptotic susceptibility of cancer cells selected for camptothecin resistance: gene expression profiling, functional analysis, and molecular interaction mapping.

To study the molecular mechanisms by which drug resistance develops, we compared DU145 humanprostate cancer cells with a subline selected for resistance to camptothecin. Differences in gene expression level were assessed by hybridizing the two cell types against each other using quadruplicate "Oncochip" cDNA microarrays that included 1648 cancer-related genes. Expression levels differing by a factor of >1.5 were detected for 181 of the genes. These differences were judged statistically reliable on the basis of a stratum-adjusted Kruskal-Wallis test, after taking into account a dye-dependent variable. The 181 expression-altered genes included a larger than expected number of the "apoptosis-related" genes (P = 0.04). To assess whether this observation reflected a generalized resistance of RCO.1 to apoptosis, we exposed the cells to a range of stresses (cisplatin, staurosporine, UV, ionizing radiation, and serum starvation) and found greatly reduced apoptotic responses for RC0.1 (relative to DU145) using flow cytometric Annexin V and terminal deoxynucleotidyl transferase-mediated nick end labeling assays. We next examined the apoptosis-related genes in the context of a molecular interaction map and found expression differences in the direction "expected" on the basis of the apoptosis-resistance of RC0.1 for BAD, caspase-6, and genes that signal via the Akt pathway. Exposure of the cells to wortmannin, an inhibitor of the Akt effector phosphatidylinositol 3-kinase, provided functional support for involvement of the Akt pathway. However, closer examination of the molecular interaction map revealed a paradox: many of the expression differences observed for apoptosis-related genes were in the direction "contrary" to that expected given the resistance of RC0.1. The map indicated that most of these unexpected expression differences were associated with genes involved in the nuclear factor kappa B and transforming growth factor beta pathways. Overall, the patterns that emerged suggested a two-step model for the selection process that led to resistance in RC0.1 cells. The first hypothesized step would involve a decrease in apoptotic susceptibility through changes in the apoptosis-control machinery associated with the Bcl-2 and caspase gene families, and also in antiapoptotic pathways operating through Akt/PKB. The second step would involve changes in multifunctional upstream genes (including some genes in the nuclear factor kappa B and transforming growth factor beta pathways) that can facilitate apoptosis but that would also tend to contribute to cell proliferation in the presence of drug. Thus, we propose that a downstream blockade of apoptosis was "permissive" for the selection of upstream pathway changes that would otherwise have induced apoptosis. This model is analogous to one suggested previously for the relationship between oncogene function and apoptosis in carcinogenesis.

Androstadienes↗
PubMed2003

[Cell cycle and checkpoints in oncology: new therapeutic targets].

Leland H. Hartwell, Paul M. Nurse et R. Timothy Hunt just received the Nobel price for their discovery of the molecular components of the cell cycle and cell cycle checkpoints. This review is an update of the molecular networks driving the cell cycle and its regulation, and of the importance of this knowledge for understanding the mechanisms driving oncogenesis and therapeutic developments.

Antineoplastic Agents↗