TY - JOUR A1 - Nietzsche, Madlen A1 - Schiessl, Ingrid A1 - Börnke, Frederik T1 - The complex becomes more complex: protein-protein interactions of SnRK1 with DUF581 family proteins provide a framework for cell and stimulus type-specific SnRK1 signaling in plants JF - Frontiers in plant science N2 - In plants, SNF1-related kinase (SnRK1) responds to the availability of carbohydrates as well as to environmental stresses by down-regulating ATP consuming biosynthetic processes, while stimulating energy-generating catabolic reactions through gene expression and post-transcriptional regulation. The functional SnRK1 complex is a heterotrimer where the catalytic alpha subunit associates with a regulatory beta subunit and an activating gamma subunit. Several different metabolites as well as the hormone abscisic acid (ABA) have been shown to modulate SnRK1 activity in a cell- and stimulus-type specific manner. It has been proposed that tissue- or stimulus-specific expression of adapter proteins mediating SnRK1 regulation can at least partly explain the differences observed in SnRK1 signaling. By using yeast two-hybrid and in planta bi-molecular fluorescence complementation assays we were able to demonstrate that proteins containing the domain of unknown function (DUF) 581 could interact with both isoforms of the SnRK1 alpha subunit (AKIN10/11) of Arabidopsis. A structure/function analysis suggests that the DUF581 is a generic SnRK1 interaction module and co-expression with DUF581 proteins in plant cells leads to reallocation of the kinase to specific regions within the nucleus. Yeast two-hybrid analyses suggest that SnRK1 and DUF581 proteins share common interaction partners inside the nucleus. The analysis of available microarray data implies that expression of the 19 members of the DUF581 encoding gene family in Arabidopsis is differentially regulated by hormones and environmental cues, indicating specialized functions of individual family members. We hypothesize that DUF581 proteins could act as mediators conferring tissue- and stimulus-type specific differences in SnRK1 regulation. KW - Arabidopsis KW - SnRK1 KW - DUF581 KW - protein-protein interaction KW - stress signaling KW - ABA Y1 - 2014 U6 - https://doi.org/10.3389/fpls.2014.00054 SN - 1664-462X VL - 5 PB - Frontiers Research Foundation CY - Lausanne ER - TY - JOUR A1 - Rauf, Mamoona A1 - Arif, Muhammad A1 - Dortay, Hakan A1 - Matallana-Ramirez, Lilian P. A1 - Waters, Mark T. A1 - Nam, Hong Gil A1 - Lim, Pyung-Ok A1 - Müller-Röber, Bernd A1 - Balazadeh, Salma T1 - ORE1 balances leaf senescence against maintenance by antagonizing G2-like-mediated transcription JF - EMBO reports N2 - Leaf senescence is a key physiological process in all plants. Its onset is tightly controlled by transcription factors, of which NAC factor ORE1 (ANAC092) is crucial in Arabidopsis thaliana. Enhanced expression of ORE1 triggers early senescence by controlling a downstream gene network that includes various senescence-associated genes. Here, we report that unexpectedly ORE1 interacts with the G2-like transcription factors GLK1 and GLK2, which are important for chloroplast development and maintenance, and thereby for leaf maintenance. ORE1 antagonizes GLK transcriptional activity, shifting the balance from chloroplast maintenance towards deterioration. Our finding identifies a new mechanism important for the control of senescence by ORE1. KW - transcription factor KW - senescence KW - chloroplast KW - protein-protein interaction Y1 - 2013 U6 - https://doi.org/10.1038/embor.2013.24 SN - 1469-221X VL - 14 IS - 4 SP - 382 EP - 388 PB - Nature Publ. Group CY - London ER - TY - THES A1 - Paul, Fabian T1 - Markov state modeling of binding and conformational changes of proteins T1 - Markow-Modellierung von Bindung und Konformationsänderungen bei Proteinen N2 - Proteins are molecules that are essential for life and carry out an enormous number of functions in organisms. To this end, they change their conformation and bind to other molecules. However, the interplay between conformational change and binding is not fully understood. In this work, this interplay is investigated with molecular dynamics (MD) simulations of the protein-peptide system Mdm2-PMI and by analysis of data from relaxation experiments. The central task it to uncover the binding mechanism, which is described by the sequence of (partial) binding events and conformational change events including their probabilities. In the simplest case, the binding mechanism is described by a two-step model: binding followed by conformational change or conformational change followed by binding. In the general case, longer sequences with multiple conformational changes and partial binding events are possible as well as parallel pathways that differ in their sequences of events. The theory of Markov state models (MSMs) provides the theoretical framework in which all these cases can be modeled. For this purpose, MSMs are estimated in this work from MD data, and rate equation models, which are related to MSMs, are inferred from experimental relaxation data. The MD simulation and Markov modeling of the PMI-Mdm2 system shows that PMI and Mdm2 can bind via multiple pathways. A main result of this work is a dissociation rate on the order of one event per second, which was calculated using Markov modeling and is in agreement with experiment. So far, dissociation rates and transition rates of this magnitude have only been calculated with methods that speed up transitions by acting with time-dependent, external forces on the binding partners. The simulation technique developed in this work, in contrast, allows the estimation of dissociation rates from the combination of free energy calculation and direct MD simulation of the fast binding process. Two new statistical estimators TRAM and TRAMMBAR are developed to estimate a MSM from the joint data of both simulation types. In addition, a new analysis technique for time-series data from chemical relaxation experiments is developed in this work. It allows to identify one of the above-mentioned two-step mechanisms as the mechanism that underlays the data. The new method is valid for a broader range of concentrations than previous methods and therefore allows to choose the concentrations such that the mechanism can be uniquely identified. It is successfully tested with data for the binding of recoverin to a rhodopsin kinase peptide. N2 - Proteine sind für das Leben essentielle Moleküle, die eine Vielzahl von Funktionen in Organismen ausüben. Dazu ändern sie ihre Konformation und binden an andere Moleküle. Jedoch ist das Zusammenspiel zwischen Konformationsänderung und Bindung nicht vollständig verstanden. In dieser Arbeit wird dieses Zusammenspiel mit Molekulardynamik-Simulationen (MD) des Protein-Peptid-Systems Mdm2-PMI und mit der Analyse von Daten aus Relaxationsexperimenten untersucht. Die zentrale Aufgabe ist, den Bindungsmechanismus aufzudecken, welcher durch die Reihenfolge von (partiellen) Bindungsereignissen und Konformationsänderungsereignissen beschrieben wird, inklusive der Wahrscheinlichkeiten dieser Ereignisse. Im einfachsten Fall lässt sich der Bindungsmechanismus durch ein Zwei-Schritt-Modell beschreiben: erst Bindung, dann Konformationsänderung oder erst Konformationsänderung und dann Bindung. Im allgemeinen Fall sind längere Schrittfolgen mit mehreren Konformationsänderungen und partiellen Bindungsereignissen möglich, ebenso wie parallele Wege, die sich in ihrer Schrittfolge unterscheiden. Die Theorie der Markow-Modelle (MSM) bildet den theoretischen Rahmen, in dem alle diese Fälle modelliert werden können. Dazu werden in dieser Arbeit MSMs aus MD-Daten geschätzt und Ratengleichungsmodelle, die mit MSMs verwandt sind, aus experimentellen Relaxationsdaten abgeleitet. Die MD-Simulation und Markow-Modellierung des PMI-Mdm2-Systems zeigt, dass PMI und Mdm2 auf verschiedenen Wegen binden können. Ein Hauptergebnis dieser Arbeit ist die durch Markow-Modellierung berechnete Dissoziationsrate von der Größenordnung von einem Ereignis pro Sekunde in Übereinstimmung mit experimentellen Daten. Dissoziations- und Übergangsraten in dieser Größenordnung wurden bisher nur mit Methoden berechnet, die Übergänge beschleunigen, indem mit zeitabhängigen, externen Kräften auf die Bindungspartner eingewirkt wird. Die in dieser Arbeit entwickelte Simulationstechnik dagegen erlaubt die Schätzung von Dissoziationsraten aus der Kombination von Freien-Energie-Rechnungen und direkter MD-Simulation des schnellen Bindungsprozesses. Zwei neue statistische Schätzer, TRAM und TRAMMBAR wurden entwickelt um ein MSM aus dem Gesamtdatensatz aus beiden Simulationstypen zu schätzen. Zudem wird in dieser Arbeit eine neue Analysetechnik für Zeitreihen aus chemischen Relaxationsexperimenten entwickelt. Sie ermöglicht es einen der beiden oben erwähnten Zwei-Schritt-Mechanismen als den den Daten zugrundeliegenden Mechanismus zu identifizieren. Die neue Methode ist für einen größeren Konzentrationsbereich gültig als frühere Methoden und erlaubt es daher, die Konzentrationen so zu wählen, dass der Mechanismus eindeutig identifiziert werden kann. Sie wurde erfolgreich mit Daten für die Bindung von Recoverin an ein Rhodopsinkinasenpeptid getestet. KW - protein-protein interaction KW - Protein-Protein-Interaktion KW - conformational selection KW - Konformationsselektion KW - induced fit KW - induzierte Passform KW - Markov state models KW - Markowketten KW - importance sampling KW - protein kinetics KW - Proteinkinetik KW - stopped-flow KW - flussunterbrechende Analyse Y1 - 2017 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-404273 ER - TY - JOUR A1 - Hagen, Sven A1 - Mattay, Dinah A1 - Raeuber, Christina A1 - Mueller, Kristian M. A1 - Arndt, Katja Maren T1 - Characterization and inhibition of AF10-mediated interaction JF - Journal of peptide science N2 - The non-random chromosomal translocations t(10;11)(p13;q23) and t(10;11)(p13;q14-21) result in leukemogenic fusion proteins comprising the coiled coil domain of the transcription factor AF10 and the proteins MLL or CALM, respectively, and subsequently cause certain types of acute leukemia. The AF10 coiled-coil domain, which is crucial for the leukemogenic effect, has been shown to interact with GAS41, a protein previously identified as the product of an amplified gene in glioblastoma. Using sequential synthetic peptides, we mapped the potential AF10/GAS41 interaction site, which was subsequently be used as scaffold for a library targeting the AF10 coiled-coil domain. Using phage display, we selected a peptide that binds the AF10 coiled-coil domain with higher affinity than the respective coiled-coil region of wild-type GAS41, as demonstrated by phage ELISA, CD, and PCAs. Furthermore, we were able to successfully deploy the inhibitory peptide in a mammalian cell line to lower the expression of Hoxa genes that have been described to be overexpressed in these leukemias. This work dissects molecular determinants mediating AF10-directed interactions in leukemic fusions comprising the N-terminal parts of the proteins MLL or CALM and the C-terminal coiled-coil domain of AF10. Furthermore, it outlines the first steps in recognizing and blocking the leukemia-associated AF10 interaction in histiocytic lymphoma cells and therefore, may have significant implications in future diagnostics and therapeutics. Copyright (c) 2014 European Peptide Society and John Wiley & Sons, Ltd. KW - protein-protein interaction KW - protein design and selection KW - protein engineering KW - coiled coil KW - leucine zipper KW - AF10 Y1 - 2014 U6 - https://doi.org/10.1002/psc.2626 SN - 1075-2617 SN - 1099-1387 VL - 20 IS - 6 SP - 385 EP - 397 PB - Wiley-Blackwell CY - Hoboken ER - TY - JOUR A1 - Zhang, Youjun A1 - Chen, Moxian A1 - Siemiatkowska, Beata A1 - Toleco, Mitchell Rey A1 - Jing, Yue A1 - Strotmann, Vivien A1 - Zhang, Jianghua A1 - Stahl, Yvonne A1 - Fernie, Alisdair R. T1 - A highly efficient agrobacterium-mediated method for transient gene expression and functional studies in multiple plant species JF - Plant Communications N2 - Although the use of stable transformation technology has led to great insight into gene function, its application in high-throughput studies remains arduous. Agro-infiltration have been widely used in species such as Nicotiana benthamiana for the rapid detection of gene expression and protein interaction analysis, but this technique does not work efficiently in other plant species, including Arabidopsis thaliana. As an efficient high-throughput transient expression system is currently lacking in the model plant species A. thaliana, we developed a method that is characterized by high efficiency, reproducibility, and suitability for transient expression of a variety of functional proteins in A. thaliana and 7 other plant species, including Brassica oleracea, Capsella rubella, Thellungiella salsuginea, Thellungiella halophila, Solanum tuberosum, Capsicum annuum, and N. benthamiana. Efficiency of this method was independently verified in three independent research facilities, pointing to the robustness of this technique. Furthermore, in addition to demonstrating the utility of this technique in a range of species, we also present a case study employing this method to assess protein-protein interactions in the sucrose biosynthesis pathway in Arabidopsis. KW - transient expression KW - agro-infiltration KW - subcellular localization KW - protein-protein interaction Y1 - 2019 SN - 2590-3462 VL - 1 IS - 5 PB - Science Direct CY - New York ER - TY - GEN A1 - Zhang, Youjun A1 - Chen, Moxian A1 - Siemiatkowska, Beata A1 - Toleco, Mitchell Rey A1 - Jing, Yue A1 - Strotmann, Vivien A1 - Zhang, Jianghua A1 - Stahl, Yvonne A1 - Fernie, Alisdair R. T1 - A highly efficient agrobacterium-mediated method for transient gene expression and functional studies in multiple plant species T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Although the use of stable transformation technology has led to great insight into gene function, its application in high-throughput studies remains arduous. Agro-infiltration have been widely used in species such as Nicotiana benthamiana for the rapid detection of gene expression and protein interaction analysis, but this technique does not work efficiently in other plant species, including Arabidopsis thaliana. As an efficient high-throughput transient expression system is currently lacking in the model plant species A. thaliana, we developed a method that is characterized by high efficiency, reproducibility, and suitability for transient expression of a variety of functional proteins in A. thaliana and 7 other plant species, including Brassica oleracea, Capsella rubella, Thellungiella salsuginea, Thellungiella halophila, Solanum tuberosum, Capsicum annuum, and N. benthamiana. Efficiency of this method was independently verified in three independent research facilities, pointing to the robustness of this technique. Furthermore, in addition to demonstrating the utility of this technique in a range of species, we also present a case study employing this method to assess protein-protein interactions in the sucrose biosynthesis pathway in Arabidopsis. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1189 KW - transient expression KW - agro-infiltration KW - subcellular localization KW - protein-protein interaction Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-524254 SN - 1866-8372 IS - 5 ER -