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Analytics of Protein DNA Interactions
Organisms are de?ned by their genetic code DNA. A detailed knowledge of the mechanisms that duplicate, repair and decode the genetic information is fundamental to our understanding of life itself. Inside the nucleus, DNA is associated with proteins to make chromatin, which forms the template for fun...
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| Auteur principal : | |
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| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Analytics of Protein DNA Interactions / edited by Harald Seitz. |
| Édition : | 1st ed. 2007. |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, [20..] Cham : Springer Nature |
| Collection : | Advances in biochemical engineering, biotechnology (Internet) ; 104 |
| Accès en ligne : |
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| Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
| Contenu : | Monitoring Methylation Changes in Cancer. Analysis of Protein DNA Interactions Using Surface Plasmon Resonance. Identification of Regulatory Elements by Gene Family Footprinting and In Vivo Analysis. Protein Binding Microarrays for the Characterization of DNA Protein Interactions. Accuracy and Reproducibility of Protein DNA Microarray Technology. Identification and Characterization of DNA-Binding Proteins by Mass Spectrometry |
| Sujets : | |
| Documents associés : | Autre format:
Analytics of protein-DNA interactions |
| Résumé : | Organisms are de?ned by their genetic code DNA. A detailed knowledge of the mechanisms that duplicate, repair and decode the genetic information is fundamental to our understanding of life itself. Inside the nucleus, DNA is associated with proteins to make chromatin, which forms the template for function. The processes that controlchromatin functionare presently mostly described in terms of individual DNA protein interactions. In reality, however, such interactions are parts of a complex molecular interactionnetworksthatarehighlydynamicintimeandspace. Understanding suchcomplexbiologicalsystemsrequirestheunravellingofthesenetworksand catching them in quantitative and predictive models, based on quantitative experiments. How can a systems biology type of approach be applied to the analysis of theregulationoftranscriptionalactivity?Atraditionalviewofgeneexpression considershowchromatinstructureandtranscriptionfactorscontributetothe regulation of gene expression by activating RNA synthesis. However, it is becoming increasingly clear that genes do not operate in isolation. Rather, they are components in a network of interactions that orchestrate the use of our genetic information. Although we are still far from understanding the behaviour of these networks, we begin to see the contribution of various aspects. Identifying speci?c protein DNA interactions provides a snapshot of gene regulation. Given the transient nature of most cell physiological states, theresultingpicturehighlightspartsoftheprocessofhowgenesarecontrolled and regulated. The precise characterization of protein DNA interactions, the characterizationofDNAbindingproteinsrespectively,revealsthecomponents involved in the different steps of gene regulation. Those analyses result in a time-dependent resolution of interactions under a variety of physiological conditions. Knowing the time period during which a regulatory protein is boundtoDNAprovidesinsightsintotheunderlyingbiochemicalmechanisms. The challengeweface atpresent istounderstand howthedifferent systems regulatingeachofthesecomplexactivitiescancontributetotheglobalregu- tionofgeneexpression. Atthisstage,thepressingquestionishowtomeet this challenge |
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| Variantes de titre : | With contributions by numerous experts |
| ISBN : | 978-3-540-48150-8 |
| DOI : | 10.1007/978-3-540-48150-8 |