Bust of Max Planck

Highlights

Awards and Honors

Artificial intelligence and stochastic models to guide personalized cancer therapy

Steffen Rulands receives funding within the REDESIGN consortium to bring personalized cancer therapy to patients using organoids and predictive models. The Saxon Ministry for Science, Arts and Tourism is funding four research projects for individualized cancer therapy with around 2.3 million euros. The projects will start this year and run for three years. One of the projects is the REDESIGN consortium with the goal to develope personalized medical therapy of Gastric Cancer. This type of cancer is difficult to treat once resistance to standard chemotherapy develops. Therefore, there is a need to tailor the therapy to each patient. The REDESIGN consortium is led by Daniel E. Stange (University Hospital Carl Gustav Carus Dresden), in collaboration with Steffen Rulands, Bon-Kyoung Koo (Institute of Molecular Biotechnology of the Austrian Academy of Sciences), and Mette N. Svendsen (University of Copenhagen). Steffen Rulands will use functional drug response data generated from patient-derived organoids to predict the efficacy of different regimines of chemotherapy. These organoids are initially grown by clinical research labs from patient tumor tissue samples’and then exposed to varying cocktails of chemotherapy. Organoids are sequenced before and after treatment to detect mutations that may affect the outcome of therapy. Moreover, organoid growth speed, among other parameters, are measured during the treatment. These datasets will be used by Steffen's group to develop quantitative predictions of treatment efficiency using two complementary approaches, stochastic models and deep neural networks. The combination of the two methods will allow for high predictive and explanatory power while tackling the complexity of the data. This complexity arises from the presence of mixed populations of cells in the tumor and different constellations of mutations between tumors from different patients. Eventually, the developed model will help understand how resistance to therapy develops. More importantly, it will predict how any given patient would respond to chemotherapy based on the constellation of mutations found in the tumor. It will also assess the likelihood of tumor relapse in patients for each possible therapeutic approach and recommend the therapy that targets the tumor cells carrying mutations that make the tumor more aggressive and relapsing.
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Reading DNA is team work

Life starts with one cell. When an organism develops, dividing cells specialize to form the variety of tissues and organs that build up the adult body, while keeping the same genetic material – contained in our DNA. In a process known as transcription, parts of the DNA – the genes ¬– are copied into a messenger molecule -the ribonucleic acid (RNA) – that carries the information needed to produce proteins, the building blocks of life. The parts of our DNA that are read and transcribed determine the fate of our cells. The readers of the DNA are proteins called transcription factors: they bind to specific sites on the DNA and activate the transcription process. How they recognize which location on the DNA they need to bind to and how these are distinguished from other random binding sites in the genome remains an open question. Scientists at the Max Planck Institute of Molecular Cell Biology and Genetics (MPI-CBG) and the Max Planck Institute for the Physics of Complex Systems (MPI-PKS), both located in Dresden, show that thousands of individual transcription factors team up and interact with each other. They collectively wet the DNA surface by forming liquid droplets that can identify clusters of binding sites on the DNA surface.

Jose A. Morin et al: Sequence dependent surface condensation of a pioneer transcription factor on DNA. Nature Physics. 03. February 2022, doi: 10.1038/s41567-021-01462-2
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Institute's News

Call for ELBE postdoctoral Fellowships now open!

Application deadline: 13 March 2022. The ELBE postdoctoral fellows program addresses independent researchers on the postdoctoral level, who come with their own research proposal and freely choose which groups to affiliate with. The program provides an ideal springboard to an independent research career in systems biology, theoretical biophysics, computational biology, and related areas. Please click on the link- button to see the full advertisement!
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How do our organs know when to stop growing?

The smallest fish in the world, the Paedocypris, measures only 7 millimeters. This is nothing compared to the 9 meters of the whale shark. The small fish shares many of the same genes and the same anatomy with the shark, but the dorsal and caudal fins, gills, stomach and heart, are thousands of times smaller! How do organs and tissues of this miniature fish stop growing very quickly, unlike those of their giant cousin? A multidisciplinary team led by scientists from the University of Geneva (UNIGE), Switzerland, and the Max Planck Institute for the Physics of Complex Systems (MPIPKS) was able to answer this fundamental question by studying its physics and using mathematical equations, as revealed by their work published in the journal Nature.

M. R. Michaelidi et al., Nature (2021)
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Long-Range Photon Fluctuations Enhance Photon-Mediated Electron Pairing and Superconductivity

Recently, the possibility of inducing superconductivity for electrons in two-dimensional materials has been proposed via cavity-mediated pairing. The cavity-mediated electron-electron interactions are long range, which has two main effects: firstly, within the standard BCS-type pairing mediated by adiabatic photons, the superconducting critical temperature depends polynomially on the coupling strength, instead of the exponential dependence characterizing the phonon-mediated pairing; secondly, as we show here, the effect of photon fluctuations is significantly enhanced. These mediate novel non-BCS-type pairing processes, via nonadiabatic photons, which are not sensitive to the electron occupation but rather to the electron dispersion and lifetime at the Fermi surface. Therefore, while the leading temperature dependence of BCS pairing comes from the smoothening of the Fermi-Dirac distribution, the temperature dependence of the fluctuation-induced pairing comes from the electron lifetime. For realistic parameters, also including cavity loss, this results in a critical temperature which can be more than 1 order of magnitude larger than the BCS prediction. Moreover, a finite average number of photons (as can be achieved by incoherently pumping the cavity) adds to the fluctuations and leads to a further enhancement of the critical temperature.

A. Chakraborty and F. Piazza, Phys. Rev. Lett. 127, 177002 (2021)
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Cavity QED with quantum gases: new paradigms in many-body physics

We review the recent developments and the current status in the field of quantum-gas cavity QED. Since the first experimental demonstration of atomic self-ordering in a system composed of a Bose–Einstein condensate coupled to a quantized electromagnetic mode of a high-Q optical cavity, the field has rapidly evolved over the past decade. The composite quantum-gas-cavity systems offer the opportunity to implement, simulate, and experimentally test fundamental solid-state Hamiltonians, as well as to realize non-equilibrium many-body phenomena beyond conventional condensed-matter scenarios. This hinges on the unique possibility to design and control in open quantum environments photon-induced tunable-range interaction potentials for the atoms using tailored pump lasers and dynamic cavity fields. Notable examples range from Hubbard-like models with long-range interactions exhibiting a lattice-supersolid phase, over emergent magnetic orderings and quasicrystalline symmetries, to the appearance of dynamic gauge potentials and non-equilibrium topological phases. Experiments have managed to load spin-polarized as well as spinful quantum gases into various cavity geometries and engineer versatile tunable-range atomic interactions. This led to the experimental observation of spontaneous discrete and continuous symmetry breaking with the appearance of soft-modes as well as supersolidity, density and spin self-ordering, dynamic spin-orbit coupling, and non-equilibrium dynamical self-ordered phases among others. In addition, quantum-gas-cavity setups offer new platforms for quantum-enhanced measurements. In this review, starting from an introduction to basic models, we pedagogically summarize a broad range of theoretical developments and put them in perspective with the current and near future state-of-art experiments.

F. Mivehvar et al. Adv. Phys. 70, 1 (2021)
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Signatures of Quantum Phase Transitions after Quenches in Quantum Chaotic One-Dimensional Systems

Quantum phase transitions are central to our understanding of why matter at very low temperatures can exhibit starkly different properties upon small changes of microscopic parameters. Accurately locating those transitions is challenging experimentally and theoretically. Here, we show that the antithetic strategy of forcing systems out of equilibrium via sudden quenches provides a route to locate quantum phase transitions. Specifically, we show that such transitions imprint distinctive features in the intermediate-time dynamics, and results after equilibration, of local observables in quantum chaotic spin chains. Furthermore, we show that the effective temperature in the expected thermal-like states after equilibration can exhibit minima in the vicinity of the quantum critical points. We discuss how to test our results in experiments with Rydberg atoms and explore nonequilibrium signatures of quantum critical points in models with topological transitions.

A. Haldar et al. Phys. Rev. X 11, 031062 (2021)
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Cavity-induced quantum spin liquids

Quantum spin liquids provide paradigmatic examples of highly entangled quantum states of matter. Frustration is the key mechanism to favor spin liquids over more conventional magnetically ordered states. Here we propose to engineer frustration by exploiting the coupling of quantum magnets to the quantized light of an optical cavity. The interplay between the quantum fluctuations of the electro-magnetic field and the strongly correlated electrons results in a tunable long-range interaction between localized spins. This cavity-induced frustration robustly stabilizes spin liquid states, which occupy an extensive region in the phase diagram spanned by the range and strength of the tailored interaction. This occurs even in originally unfrustrated systems, as we showcase for the Heisenberg model on the square lattice.

A. Chiocchetta et al. Nat. Commun. 12, 5901 (2021)
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Carrier transport theory for twisted bilayer graphene in the metallic regime

Understanding the normal-metal state transport in twisted bilayer graphene near magic angle is of fundamental importance as it provides insights into the mechanisms responsible for the observed strongly correlated insulating and superconducting phases. Here we provide a rigorous theory for phonon-dominated transport in twisted bilayer graphene describing its unusual signatures in the resistivity (including the variation with electron density, temperature, and twist angle) showing good quantitative agreement with recent experiments. We contrast this with the alternative Planckian dissipation mechanism that we show is incompatible with available experimental data. An accurate treatment of the electron-phonon scattering requires us to go well beyond the usual treatment, including both intraband and interband processes, considering the finite-temperature dynamical screening of the electron-phonon matrix element, and going beyond the linear Dirac dispersion. In addition to explaining the observations in currently available experimental data, we make concrete predictions that can be tested in ongoing experiments.

G. Sharma et al. Nature Commun. 12, 5737 (2021)
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Institute's News

Call for Distinguished PKS Postdoctoral Fellowship 2022 now open!

Application deadline: 24 November 2021. Distinguished PKS postdoctoral fellows appear personally along with the departments and groups on the main research page of the institute and are expected to have at least one year of postdoctoral experience at an institution other than the one at which their PhD was awarded. Applications for this fellowship directly after completion of the PhD might be considered in exceptional cases. Please click on the link- button to see the full advertisement!
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