EXSPub Date : 2009-01-01DOI: 10.1007/978-3-7643-8336-7_8
Roberto Sánchez-Olea, Mónica R Calera, Alexei Degterev
{"title":"Molecular pathways involved in cell death after chemically induced DNA damage.","authors":"Roberto Sánchez-Olea, Mónica R Calera, Alexei Degterev","doi":"10.1007/978-3-7643-8336-7_8","DOIUrl":"https://doi.org/10.1007/978-3-7643-8336-7_8","url":null,"abstract":"<p><p>DNA damage is at the center of the genesis, progression and treatment of cancer. We review here the molecular mechanisms of the DNA damage inducing small molecules most commonly used in cancer therapy. Cell cycle control and DNA repair mechanisms are known to be activated after DNA damage. Here, we revise recent discoveries related to the cell cycle control and DNA repair processes and how these findings are being utilized for the more efficient, powerful and selective therapies for cancer treatment.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"99 ","pages":"209-30"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27936182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2009-01-01DOI: 10.1007/978-3-7643-8336-7_12
Tong Zhou, Jeff Chou, Paul B Watkins, William K Kaufmann
{"title":"Toxicogenomics: transcription profiling for toxicology assessment.","authors":"Tong Zhou, Jeff Chou, Paul B Watkins, William K Kaufmann","doi":"10.1007/978-3-7643-8336-7_12","DOIUrl":"https://doi.org/10.1007/978-3-7643-8336-7_12","url":null,"abstract":"<p><p>Toxicogenomics, the application of transcription profiling to toxicology, has been widely used for elucidating the molecular and cellular actions of chemicals and other environmental stressors on biological systems, predicting toxicity before any functional damages, and classification of known or new toxicants based on signatures of gene expression. The success of a toxicogenomics study depends upon close collaboration among experts in different fields, including a toxicologist or biologist, a bioinformatician, statistician, physician and, sometimes, mathematician. This review is focused on toxicogenomics studies, including transcription profiling technology, experimental design, significant gene extraction, toxicological results interpretation, potential pathway identification, database input and the applications of toxicogenomics in various fields of toxicological study.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"99 ","pages":"325-66"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-7643-8336-7_12","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27934497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2009-01-01DOI: 10.1007/978-3-7643-8336-7_14
Willem G E J Schoonen, Walter M A Westerink, G Jean Horbach
{"title":"High-throughput screening for analysis of in vitro toxicity.","authors":"Willem G E J Schoonen, Walter M A Westerink, G Jean Horbach","doi":"10.1007/978-3-7643-8336-7_14","DOIUrl":"https://doi.org/10.1007/978-3-7643-8336-7_14","url":null,"abstract":"<p><p>The influence of combinatorial chemistry and high-throughput screening (HTS) technologies in the pharmaceutical industry during the last 10 years has been enormous. However, the attrition rate of drugs in the clinic due to toxicity during this period still remained 40-50%. The need for reduced toxicity failure led to the development of early toxicity screening assays. This chapter describes the state of the art for assays in the area of genotoxicity, cytotoxicity, carcinogenicity, induction of specific enzymes from phase I and II metabolism, competition assays for enzymes of phase I and II metabolism, embryotoxicity as well as endocrine disruption and reprotoxicity. With respect to genotoxicity, the full Ames, Ames II, Vitotox, GreenScreen GC, RadarScreen, and non-genotoxic carcinogenicity assays are discussed. For cytotoxicity, cellular proliferation, calcein uptake, oxygen consumption, mitochondrial activity, radical formation, glutathione depletion as well as apoptosis are described. For high-content screening (HCS), the possibilities for analysis of cytotoxicity, micronuclei, centrosome formation and phospholipidosis are examined. For embryotoxicity, endocrine disruption and reprotoxicity alternative assays are reviewed for fast track analysis by means of nuclear receptors and membrane receptors. Moreover, solutions for analyzing enzyme induction by activation of nuclear receptors, like AhR, CAR, PXR, PPAR, FXR, LXR, TR and RAR are given.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"99 ","pages":"401-52"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-7643-8336-7_14","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27934498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2009-01-01DOI: 10.1007/978-3-7643-8336-7_5
Ulrike Camenisch, Hanspeter Naegeli
{"title":"Role of DNA repair in the protection against genotoxic stress.","authors":"Ulrike Camenisch, Hanspeter Naegeli","doi":"10.1007/978-3-7643-8336-7_5","DOIUrl":"https://doi.org/10.1007/978-3-7643-8336-7_5","url":null,"abstract":"<p><p>The genome of all organisms is constantly attacked by a variety of environmental and endogenous mutagens that cause cell death, apoptosis, senescence, genetic diseases and cancer. To mitigate these deleterious endpoints of genotoxic reactions, living organisms have evolved one or more mechanisms for repairing every type of naturally occurring DNA lesion. For example, double-strand breaks are rapidly religated by non-homologous end-joining. Homologous recombination is used for the high-fidelity repair of interstrand cross-links, double-strand breaks and other DNA injuries that disrupt the replication fork. Some genotoxic lesions inflicted by alkylating agents can be repaired by direct reversal of DNA damage. The base excision repair pathway takes advantage of multiple DNA glycosylases to remove modified or incorrect bases. Finally, the nucleotide excision repair machinery provides a versatile strategy to monitor DNA quality and eliminate all forms of helix-distorting DNA lesions, including a wide diversity of carcinogen adducts. The efficiency of DNA repair responses is enhanced by their coupling to transcription and coordination with the cell cycle circuit.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"99 ","pages":"111-50"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-7643-8336-7_5","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27936179","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2009-01-01DOI: 10.1007/978-3-7643-8336-7_2
David Kim, Leena A Nylander-French
{"title":"Physiologically based toxicokinetic models and their application in human exposure and internal dose assessment.","authors":"David Kim, Leena A Nylander-French","doi":"10.1007/978-3-7643-8336-7_2","DOIUrl":"https://doi.org/10.1007/978-3-7643-8336-7_2","url":null,"abstract":"<p><p>Human populations may exhibit large interindividual variation in toxicokinetic response to chemical exposures. Rapid developments in dosimetry research have brought medicine and public health closer to understanding the biological basis of this heterogeneity. The toxicokinetic behavior of chemicals is, in part, controlled by the properties of the epithelium surrounding organs, some of which are effective barriers to penetration into the systemic circulation. Physiologically based toxicokinetic (PBTK) models have been developed and used to simulate the mechanism of uptake into the systemic circulation, to extrapolate between doses and exposure routes, and to estimate internal dosimetry and sources of heterogeneity in animals and humans. Recent improvements to PBTK models include descriptions of active transport across biological membranes, carrier-mediated clearance, and fractal kinetics. The expanding area of toxicogenetics has provided valuable insight for delineating toxicokinetic differences between individuals; genetic differences include inherited single nucleotide polymorphisms, copy number variants, and dynamic changes in the methylation pattern of imprinted genes. This chapter discusses the structure of PBTK models and how toxicogenetic information and newer biological descriptions have improved our understanding of variability in response to toxicant exposures.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"99 ","pages":"37-55"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-7643-8336-7_2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27935672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2009-01-01DOI: 10.1007/978-3-7643-8336-7_9
Ci Ma, Jennifer L Marlowe, Alvaro Puga
{"title":"The aryl hydrocarbon receptor at the crossroads of multiple signaling pathways.","authors":"Ci Ma, Jennifer L Marlowe, Alvaro Puga","doi":"10.1007/978-3-7643-8336-7_9","DOIUrl":"https://doi.org/10.1007/978-3-7643-8336-7_9","url":null,"abstract":"<p><p>The aryl hydrocarbon receptor (AHR) has long been recognized as a ligand-activated transcription factor responsible for the induction of drug-metabolizing enzymes. Its role in the combinatorial matrix of cell functions was established long before the first report of an AHR cDNA sequence was published. It is only recently that other functions of this protein have begun to be recognized, and it is now clear that the AHR also functions in pathways outside of its well-characterized role in xenobiotic enzyme induction. Perturbation of these pathways by xenobiotic ligands may ultimately explain much of the toxicity of these compounds. This chapter focuses on the interactions of the AHR in pathways critical to cell cycle regulation, mitogen-activated protein kinase cascades, differentiation and apoptosis. Ultimately, the effect of a particular AHR ligand on the biology of the organism will depend on the milieu of critical pathways and proteins expressed in specific cells and tissues with which the AHR itself interacts.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"99 ","pages":"231-57"},"PeriodicalIF":0.0,"publicationDate":"2009-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-7643-8336-7_9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"27936183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2007-01-01DOI: 10.1007/978-3-7643-7439-6_5
Cameron Johnson, Venkatesan Sundaresan
{"title":"Regulatory small RNAs in plants.","authors":"Cameron Johnson, Venkatesan Sundaresan","doi":"10.1007/978-3-7643-7439-6_5","DOIUrl":"https://doi.org/10.1007/978-3-7643-7439-6_5","url":null,"abstract":"<p><p>The discovery of microRNAs in the last decade altered the paradigm that protein coding genes are the only significant components for the regulation of gene networks. Within a short period of time small RNA systems within regulatory networks of eukaryotic cells have been uncovered that will ultimately change the way we infer gene regulation networks from transcriptional profiling data. Small RNAs are involved in the regulation of global activities of genic regions via chromatin states, as inhibitors of 'selfish' sequences (transposons, retroviruses), in establishment or maintenance of tissue/organ identity, and as modulators of the activity of transcription factor as well as 'house keeping' genes. With this chapter we provide an overview of the central aspects of small RNA function in plants and the features that distinguish the different small RNAs. We furthermore highlight the use of computational prediction methods for identification of plant miRNAs/precursors and their targets and provide examples for the experimental validation of small RNA candidates that could represent trans-regulators of downstream genes. Lastly, the emerging concepts of small RNAs as modulators of gene expression constituting systems networks within different cells in a multicellular organism are discussed.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"97 ","pages":"99-113"},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"26664721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2007-01-01DOI: 10.1007/978-3-7643-7439-6_8
Dirk Steinhauser, Joachim Kopka
{"title":"Methods, applications and concepts of metabolite profiling: primary metabolism.","authors":"Dirk Steinhauser, Joachim Kopka","doi":"10.1007/978-3-7643-7439-6_8","DOIUrl":"https://doi.org/10.1007/978-3-7643-7439-6_8","url":null,"abstract":"<p><p>In the 1990s the concept of a comprehensive analysis of the metabolic complement in biological systems, termed metabolomics or alternately metabonomics, was established as the last of four cornerstones for phenotypic studies in the post-genomic era. With genomic, transcriptomic, and proteomic technologies in place and metabolomic phenotyping under rapid development all necessary tools appear to be available today for a fully functional assessment of biological phenomena at all major system levels of life. This chapter attempts to describe and discuss crucial steps of establishing and maintaining a gas chromatography/electron impact ionization/ mass spectrometry (GC-EI-MS)-based metabolite profiling platform. GC-EI-MS can be perceived as the first and exemplary profiling technology aimed at simultaneous and non-biased analysis of primary metabolites from biological samples. The potential and constraints of this profiling technology are among the best understood. Most problems are solved as well as pitfalls identified. Thus GC-EI-MS serves as an ideal example for students and scientists who intend to enter the field of metabolomics. This chapter will be biased towards GC-EI-MS analyses but aims at discussing general topics, such as experimental design, metabolite identification, quantification and data mining.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"97 ","pages":"171-94"},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1007/978-3-7643-7439-6_8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"26664610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2007-01-01DOI: 10.1007/978-3-7643-7439-6_1
Frank J Bruggeman, Jorrit J Hornberg, Fred C Boogerd, Hans V Westerhoff
{"title":"Introduction to systems biology.","authors":"Frank J Bruggeman, Jorrit J Hornberg, Fred C Boogerd, Hans V Westerhoff","doi":"10.1007/978-3-7643-7439-6_1","DOIUrl":"10.1007/978-3-7643-7439-6_1","url":null,"abstract":"<p><p>The developments in the molecular biosciences have made possible a shift to combined molecular and system-level approaches to biological research under the name of Systems Biology. It integrates many types of molecular knowledge, which can best be achieved by the synergistic use of models and experimental data. Many different types of modeling approaches are useful depending on the amount and quality of the molecular data available and the purpose of the model. Analysis of such models and the structure of molecular networks have led to the discovery of principles of cell functioning overarching single species. Two main approaches of systems biology can be distinguished. Top-down systems biology is a method to characterize cells using system-wide data originating from the Omics in combination with modeling. Those models are often phenomenological but serve to discover new insights into the molecular network under study. Bottom-up systems biology does not start with data but with a detailed model of a molecular network on the basis of its molecular properties. In this approach, molecular networks can be quantitatively studied leading to predictive models that can be applied in drug design and optimization of product formation in bioengineering. In this chapter we introduce analysis of molecular network by use of models, the two approaches to systems biology, and we shall discuss a number of examples of recent successes in systems biology.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"97 ","pages":"1-19"},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"26664717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
EXSPub Date : 2007-01-01DOI: 10.1007/978-3-7643-7439-6_6
Erich Brunner, Bertran Gerrits, Mike Scott, Bernd Roschitzki
{"title":"Differential display and protein quantification.","authors":"Erich Brunner, Bertran Gerrits, Mike Scott, Bernd Roschitzki","doi":"10.1007/978-3-7643-7439-6_6","DOIUrl":"https://doi.org/10.1007/978-3-7643-7439-6_6","url":null,"abstract":"<p><p>High-throughput quantitation of proteins is of essential importance for all systems biology approaches and provides complementary information on steady-state gene expression and perturbation-induced systems responses. This information is necessary because it is, e.g., difficult to predict protein concentrations from the level of mRNAs, since regulatory processes at the posttranscriptional level adjust protein concentrations to prevailing conditions. Despite its importance, quantitative proteomics is still a challenging task because of the high dynamic range of protein concentrations in the cell and the variation in the physical properties of proteins. In this chapter we review the current status of, and options for, protein quantification in high-throughput experiments and discuss the suitability and limitations of different existing methods.</p>","PeriodicalId":77125,"journal":{"name":"EXS","volume":"97 ","pages":"115-40"},"PeriodicalIF":0.0,"publicationDate":"2007-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"26664608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}