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  <doc>
    <id>7586</id>
    <completedYear/>
    <publishedYear>2020</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>946</pageFirst>
    <pageLast>954</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume>16</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>2020-06-15</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Single molecule mu-opioid receptor membrane-dynamics reveal agonist-specific dimer formation with super-resolved precision</title>
    <parentTitle language="eng">Nature Chemical Biology</parentTitle>
    <identifier type="doi">10.1038/s41589-020-0566-1</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Jan Möller</author>
    <submitter>Erlinda Körnig</submitter>
    <author>Ali Isbilir</author>
    <author>Titiwat Sungkaworn</author>
    <author>Brenda Osberg</author>
    <author>Christos Karathanasis</author>
    <author>Vikram Sunkara</author>
    <author>Eugene O Grushevsky</author>
    <author>Andreas Bock</author>
    <author>Paolo Annibale</author>
    <author>Mike Heilemann</author>
    <author>Christof Schütte</author>
    <author>Martin J. Lohse</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="schuette">Schütte, Christof</collection>
    <collection role="persons" number="sunkara">Sunkara, Vikram</collection>
    <collection role="projects" number="MathPlusAA1-1">MathPlusAA1-1</collection>
    <collection role="institutes" number="MSoCP">Modeling and Simulation of Complex Processes</collection>
  </doc>
  <doc>
    <id>7958</id>
    <completedYear/>
    <publishedYear>2021</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1538</pageFirst>
    <pageLast>1541</pageLast>
    <pageNumber/>
    <edition/>
    <issue>7</issue>
    <volume>46</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Quantitative spectroscopy of single molecule interaction times</title>
    <abstract language="eng">Single molecule fluorescence tracking provides information at nanometer-scale and millisecond-temporal resolution about the dynamics and interaction of individual molecules in a biological environment. While the dynamic behavior of isolated molecules can be characterized well, the quantitative insight is more limited when interactions between two indistinguishable molecules occur. We address this aspect by developing a theoretical foundation for a spectroscopy of interaction times, i.e., the inference of interaction from imaging data. A non-trivial crossover between a power law to an exponential behavior of the distribution of the interaction times is highlighted, together with the dependence of the exponential term upon the microscopic reaction affinity. Our approach is validated with simulated and experimental datasets.</abstract>
    <parentTitle language="eng">Optic Letters</parentTitle>
    <identifier type="doi">10.1364/OL.413030</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Horst-Holger Boltz</author>
    <submitter>Kalina Tsankova</submitter>
    <author>Alexei Sirbu</author>
    <author>Nina Stelzer</author>
    <author>Martin J. Lohse</author>
    <author>Christof Schütte</author>
    <author>Paolo Annibale</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="schuette">Schütte, Christof</collection>
    <collection role="projects" number="MathPlusAA1-1">MathPlusAA1-1</collection>
    <collection role="institutes" number="MfLMS">Mathematics for Life and Materials Science</collection>
    <collection role="institutes" number="MSoCP">Modeling and Simulation of Complex Processes</collection>
  </doc>
  <doc>
    <id>8678</id>
    <completedYear/>
    <publishedYear>2022</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1660</pageFirst>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>10</issue>
    <volume>11</volume>
    <type>article</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>0</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">The Impact of Membrane Protein Diffusion on GPCR Signaling</title>
    <abstract language="eng">Spatiotemporal signal shaping in G protein-coupled receptor (GPCR) signaling is now a well-established and accepted notion to explain how signaling specificity can be achieved by a superfamily sharing only a handful of downstream second messengers. Dozens of Gs-coupled GPCR signals ultimately converge on the production of cAMP, a ubiquitous second messenger. This idea is almost always framed in terms of local concentrations, the differences in which are maintained by means of spatial separation. However, given the dynamic nature of the reaction-diffusion processes at hand, the dynamics, in particular the local diffusional properties of the receptors and their cognate G proteins, are also important. By combining some first principle considerations, simulated data, and experimental data of the receptors diffusing on the membranes of living cells, we offer a short perspective on the modulatory role of local membrane diffusion in regulating GPCR-mediated cell signaling. Our analysis points to a diffusion-limited regime where the effective production rate of activated G protein scales linearly with the receptor–G protein complex’s relative diffusion rate and to an interesting role played by the membrane geometry in modulating the efficiency of coupling</abstract>
    <parentTitle language="eng">Cells</parentTitle>
    <identifier type="doi">10.3390/cells11101660</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <enrichment key="AcceptedDate">14.05.2022</enrichment>
    <enrichment key="opus.source">publish</enrichment>
    <submitter>Horst-Holger Boltz</submitter>
    <author>Horst-Holger Boltz</author>
    <author>Alexei Sirbu</author>
    <author>Nina Stelzer</author>
    <author>Primal de Lanerolle</author>
    <author>Stefanie Winkelmann</author>
    <author>Paolo Annibale</author>
    <collection role="projects" number="SFB1114-C3">SFB1114-C3</collection>
    <collection role="persons" number="winkelmann">Winkelmann, Stefanie</collection>
    <collection role="projects" number="MathPlusAA1-1">MathPlusAA1-1</collection>
    <collection role="institutes" number="MSoCP">Modeling and Simulation of Complex Processes</collection>
    <collection role="projects" number="MathPlusAA1-5">MathPlusAA1-5</collection>
    <collection role="projects" number="MathPlusAA1-15">MathPlusAA1-15</collection>
    <collection role="projects" number="MathPlusA1-11">MathPlusA1-11</collection>
  </doc>
</export-example>
