Publications

2023

Lotfollahi, M., Rybakov, S., Hrovatin, K. et al., Theis, F. J., Biologically informed deep learning to query gene programs in single-cell atlases. Nat Cell Biol (2023). https://doi.org/10.1038/s41556-022-01072-x

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D Yaneva, J L Sparks, M Donsbach, S Zhao, P Weickert, R Bezalel-Buch, J Stingele, J C Walter: The FANCJ helicase unfolds DNA-protein crosslinks to promote their repair, Mol Cell, 2023 Jan 5;83(1):43-56.e10.

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Ling, L., Mühling, B., Jaenichen, R., and Gompel, N.: Increased chromatin accessibility promotes the evolution of a transcriptional silencer in Drosophila., Sci. Adv. 9, (2023).

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E. L. Kozak, J. R. Miranda-Rodríguez, A. Borges, K. Dierkes, A. Mineo, F. Pinto-Teixeira, O. Viader-Llargués, J. Solon, O. Chara, H. López-Schier; Quantitative videomicroscopy reveals latent control of cell-pair rotations in vivo. Development 1 May 2023; 150 (9): dev200975.

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Luka Borozan, Francisca Rojas Ringeling, Shao-Yen Kao, Elena Nikonova, Pablo Monteagudo-Mesas, Domagoj Matijevic, Maria L. Spletter, Stefan Canzar, Counting pseudoalignments to novel splicing events. Bioinformatics (2023).

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Vera Kleene, Valentina Corvaglia, Erika Chacin, Ignasi Forne, David B Konrad, Pardis Khosravani, Céline Douat, Christoph F Kurat, Ivan Huc, Axel Imhof: DNA mimic foldamers affect chromatin composition and disturb cell cycle progression; Nucleic Acids Res., 2023 Aug 31; gkad681. doi: 10.1093/nar/gkad681,

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Anuroop Venkateswaran Venkatasubramani, Toshiharu Ichinose, Mai Kanno, Ignasi Forne, Hiromu Tanimoto, Shahaf Peleg, Axel Imhof: The fruit fly acetyltransferase chameau promotes starvation resilience at the expense of longevity, EMBO Rep., 2023 Sep 19;e57023. doi: 10.15252/embr.202357023

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Tim Wartewig, Jay Daniels, Miriam Schulz, Erik Hameister, Abhinav Joshi, Joonhee Park, Emma Morrish, Anuroop V. Venkatasubramani, Filippo M. Cernilogar, Frits H. A. van Heijster, Christian Hundshammer, Heike Schneider, Filippos Konstantinidis, Judith V. Gabler, Christine Klement, Henry Kurniawan, Calvin Law, Yujin Lee, Sara Choi, Joan Guitart, Ignasi Forne, Jérôme Giustinani, Markus Müschen, Salvia Jain, David M. Weinstock, Roland Rad, Nicolas Ortonne, Franz Schilling, Gunnar Schotta, Axel Imhof, Dirk Brenner, Jaehyuk Choi & Jürgen Ruland: PD-1 instructs a tumor-suppressive metabolic program that restricts glycolysis and restrains AP-1 activity in T cell lymphoma, Nat Cancer (2023). https://doi.org/10.1038/s43018-023-00635-7

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2022

P Schwille & B Frohn (2022), Hidden protein functions and what they may teach us; Trends Cell Biol. 32(2):102-109.

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A. Ianeselli, D. Tetiker, J. Stein, A. Kühnlein, Ch B. Mast, D. Braun & T.-Y. D. Tang; Non-equilibrium conditions inside rock pores drive fission, maintenance and selection of coacervate protocells; Nature Chemistry volume 14, pages 32–39 (2022)

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A S Ceccarelli, A Borges and O Chara: Size matters: tissue size as a marker for a transition between reaction–diffusion regimes in spatio-temporal distribution of morphogens; R. Soc. Open Sci. 9: 211112., 2022

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Saito K, Kratzat H, Campbell A, Buschauer R, Burroughs AM, Berninghausen O, Aravind L, Green R, Beckmann R, Buskirk AR: Ribosome collisions induce mRNA cleavage and ribosome rescue in bacteria; Nature. in press; doi: https://doi.org/10.1038/s41586-022-04416-7

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Czech L, Mais CN, Kratzat H, Sarmah P, Giammarinaro P, Freibert SA, Esser HF, Musial J, Berninghausen O, Steinchen W, Beckmann R, Koch HG, Bange G: Inhibition of SRP-dependent protein secretion by the bacterial alarmone (p)ppGpp; Nat Commun. in press, doi:https://doi.org/10.1038/s41467-022-28675-0

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A Ianeselli, M Atienza, P W Kudella, U Gerland, Chr B Mast & D Braun: Water cycles in a Hadean CO2 atmosphere drive the evolution of long DNA; Nat. Phys. (2022).

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B. Frohn, T. Härtel, J. Cox, P. Schwille (2022): Tracing back variations in archaeal ESCRT-based cell division to protein domain architectures. PLoS One 17(3).

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A Müller-Eigner, A Sanz-Moreno, I de-Diego, A Venkateswaran Venkatasubramani, M Langhammer, R Gerlini, B Rathkolb, A Aguilar-Pimentel, T Klein-Rodewald, J Calzada-Wack, L Becker, S Palma-Vera, B Gille, I Forne, A Imhof et al.: Dietary intervention improves health metrics and life expectancy of the geneticeally obese Titan mouse, Communications Biology, 5, 408 (2022)

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Stirm, M., L. Fonteyne, B. Shashikadze, J. Stöckl, M. Kurome, B. Keßler, V. Zakhartchenko, E. Kemter, H. Blum, G. J. Arnold, K. Matiasek, R. Wanke, W. Wurst, H. Nagashima, F. Knieling, M. Walter, C. Kupatt, T. Fröhlich, N. Klymiuk and E. Wolf (2022). „Pig models for Duchenne muscular dystrophy – from disease mechanisms to validation of new diagnostic and therapeutic concepts.“ Neuromuscular Disorders. DOI:https://doi.org/10.1016/j.nmd.2022.04.005

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W Aftab, S Lahiri, A Imhof: An open-source software for probabilistic identification of proteins in situ and visualization of proteomics data, MCPRO 100242

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M. M. Hohle, K. Lammens, F. Gut, B. Wang, S. Kahler, K. Kugler, M. Till, R. Beckmann, K.‑P. Hopfner, C. Jung: Ice thickness monitoring for cryo‑EM grids by interferometry imaging, Scientifc Reports | (2022) 12:15330

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M. Bojer, S. Kremser, and U. Gerland: Robust boundary formation in a morphogen gradient via cell-cell signaling; Physical Review E 105.6 (2022): 064405.

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M Narita, T Denk, Y Matsuo, T Sugiyama, C Kikuguchi, S Ito, N Sato, T Suzuki, S Hashimoto, I Machová, P Tesina, R Beckmann & T Inada; A distinct mammalian disome collision interface harbors K63-linked polyubiquitination of uS10 to trigger hRQT-mediated subunit dissociation, Nat Commun, 13, 6411 (2022)

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Gropp, M.H.M., Klaips, C.L., Hartl, F.U. (2022): Formation of toxic oligomers of polyQ-expanded Huntingtin by prion-mediated cross-seeding; Mol Cell 82(22), 4290-4306, doi: 10.1016/j.molcel.2022.09.031.

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M Lotfollahi, M Naghipourfar, M D Luecken, M Khajavi, M Büttner, M Wagenstetter, Ž Avsec, A Gayoso, N Yosef, M Interlandi, S Rybakov, A V Misharin & F J Theis, Mapping single-cell data to reference atlases by transfer learning, Nature Biotechnology, 40, 121–130 (2022)

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G Palla, H Spitzer, M Klein, D Fischer, A Chr Schaar, L B Kuemmerle, S Rybakov, I L Ibarra, O Holmberg, I Virshup, M Lotfollahi, S Richter & F J Theis Squidpy: a scalable framework for spatial omics analysis, Nature Methods, 19,  171–178 (2022)

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A. Gayoso, et al. M Lotfollahi & F J  Theis: A Python library for probabilistic analysis of single-cell omics data, Nature Biotechnology, 40,  163–166 (2022)

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A V Dass, S Wunnava, et al., F Gartner, S Angerpointner, E Frey, D Braun: RNA Oligomerisation without Added Catalyst from 2 ′ ,3 ′ ‑Cyclic Nucleotides by Drying at Air‑Water Interfaces; ChemSystemsChem e202200026 (2022)

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F M Gartner, I R Graf and E Frey: The time complexity of self-assembly; PNAS, January 18, 2022, 119 (4) e2116373119

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Pablo Monteagudo-Mesas, Cornelia Brönner, Parastou Kohvaei, Haris Amedi, Stefan Canzar, Mario Halic.
Ccr4–Not complex reduces transcription efficiency in heterochromatin. Nucleic Acids Research (2022).

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Florian Eberhardt, Eric A. Bushong, Sébastien Phan, Steven Peltier, Pablo Monteagudo-Mesas, Tino Weinkauf, Andreas V. M. Herz, Martin Stemmler and Mark Ellisman, A Uniform and Isotropic Cytoskeletal Tiling Fills Dendritic Spines, eNeuro (2022).

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Stafford CA, Gassauer AM, de Oliveira Mann CC, Tanzer MC, Fessler E, Wefers B, Nagl D, Kuut G, Sulek K, Vasilopoulou C, Schwojer SJ, Wiest A, Pfautsch MK, Wurst W, Yabal M, Fröhlich T, Mann M, Gisch N, Jae LT, Hornung V.
Nature. 2022 Aug 24. doi: 10.1038/s41586-022-05125-x.

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Nakamoto, M., Tao, J., & Yu, J. Ageas: Automated machine learning based genetic regulatory element extraction system. bioRxiv.2022

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2021

Fischer L S, Klingner C, Schlichthaerle T, Strauss M T, Böttcher R, Fässler R, Jungmann R, Grashoff C; Nature Communications (2021); Quantitative single-protein imaging reveals molecular complex formation of integrin, talin, and kindlin during cell adhesion.

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Hellmeier J, Platzer R, Eklund A S, Schlichthaerle T, Karner A, Motsch V, Schneider M C, Kurz E, Bamieh V, Brameshuber M, Preiner J, Jungmann R, Stockinger H, Schutz GJ, Huppa JB, Sevcsik E: Proc Natl Acad Sci U S A 118(4): e2016857118; (2021) DNA origami demonstrate the unique stimulatory power of single pMHCs as T cell antigens.

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M C Wigbers, T H Tan, F Brauns, J Liu, S Z Swartz, E Frey & N Fakhri; Nature Physics (2021); A hierarchy of protein patterns robustly decodes cell shape information

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D B Brückner, N Arlt, A Fink, P Ronceray, J O Rädler, and C P Broedersz; PNAS February 16, 2021 118 (7) e2016602118; Learning the dynamics of cell–cell interactions in confined cell migration

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M R Wolff, A Schmid, P Korber, U Gerland; Effective dynamics of nucleosome configurations at the yeast PHO5 promoter; eLife 2021;10:e58394

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B Ramm, A Goychuk, A Khmelinskaia, P Blumhardt, K. Ganzinger, E Frey, P Schwille; Nature Physics 17, 850–858 (2021); A diffusiophoretic mechanism for ATP-driven transport without motor proteins

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A Kosloff, A W Holle, J Young, M A George, O Heifler, A Goychuk, E Frey, J P Spatz, F Patolsky, R Elnathan, N H Voelcker; Journal of Nanobiotechnology 19, 51 (2021); Optically Transparent Vertical Silicon Nanowire Arrays for Live-Cell Imaging

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A. Lukacs, A. W. Thomae, P. Krueger, T. Schauer, A. V. Venkatasubramani, N. Y. Kochanova, W. Aftab, R. Choudhury, I. Forne & A. Imhof: The Integrity of the HMR complex is necessary for centromeric binding and reproductive isolation in Drosophila, https://doi.org/10.1371/journal.pgen.1009744

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Lahiri S, Aftab W, Walenta L, Strauss L, Poutanen M, Mayerhofer A, Imhof A.; Life Sci Alliance. 2021 Jan 6;4(3):e202000672. doi: 10.26508/lsa.202000672. Print 2021 Mar. PMID: 33408244; MALDI-IMS combined with shotgun proteomics identify and localize new factors in male infertility.

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Lahiri S, Aftab W, Walenta L, Strauss L, Poutanen M, Mayerhofer A, Imhof A. Life Sci Alliance. 2021 Jan 21;4(3):e202101015. doi: 10.26508/lsa.202101015. Print 2021 Mar. PMID: 33479050; Correction: MALDI-IMS combined with shotgun proteomics identify and localize new factors in male infertility.

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Aftab W, Imhof A.; Adv Exp Med Biol. 2021;1336:105-128. doi: 10.1007/978-3-030-77252-9_6. PMID: 34628629; Discovery of Native Protein Complexes by Liquid Chromatography Followed by Quantitative Mass Spectrometry

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Hayn M, Hirschenberger M, Koepke L, Nchioua R, Straub JH, Klute S, Hunszinger V, Zech F, Prelli Bozzo C, Aftab W, Christensen MH, Conzelmann C, Müller JA, Srinivasachar Badarinarayan S, Stürzel CM, Forne I, Stenger S, Conzelmann KK, Münch J, Schmidt FI, Sauter D, Imhof A, Kirchhoff F, Sparrer KMJ.; Cell Rep. 2021 May 18;35(7):109126. doi: 10.1016/j.celrep.2021.109126. Epub 2021 Apr 27. PMID: 33974846; Systematic functional analysis of SARS-CoV-2 proteins uncovers viral innate immune antagonists and remaining vulnerabilities

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A-D Brunner, M Thielert, C G Vasilopoulou, C Ammar, F Coscia, A Mund, O B Hoerning, N Bache, A Apalategui, M Lubeck, S Richter, D S Fischer, O Raether, M A Park, F Meier, F J Theis, M Mann: Ultra-high sensitivity mass spectrometry quantifies single-cell proteome changes upon perturbation; BioRxiv, 2020.12. 22.423933

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M T Strauss, I Bludau, W-F Zeng, E Voytik, C Ammar, J Schessner, R Ilango, M Gill, F Meier, S Willems, M Mann: AlphaPept, a modern and open framework for MS-based proteomics;

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S J Schink, M Polk, E Athaide, A Mukherjee, C Ammar, X Liu, S Oh, Y-F Chang, M Basan: The energy requirements of ion homeostasis determine the lifespan of starving bacteria;

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Kratzat H, Mackens-Kiani T, Ameismeier M, Potocnjak M, Cheng J, Dacheux E, Namane A, Berninghausen O, Herzog F, Fromont-Racine M, Becker T, Beckmann R: A structural inventory of native ribosomal ABCE1-43S pre-initiation complexes; EMBO J. 2021 Jan 4;40(1):e105179. doi: 10.15252/embj.2020105179. Epub 2020 Dec 8. PMID: 33289941; PMCID: PMC7780240.

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J. J. B. Messelink, M. C. F. van Teeseling, J. Janssen, M. Thanbichler & C. P. Broedersz: Learning the distribution of single-cell chromosome conformations in bacteria reveals emergent order across genomic scales, Nature Communications, 12, 1963 (2021)

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J. J. B. Messelink, F. Meyer, M. Bramkamp, C. P. Broedersz: Single-cell growth inference of Corynebacterium glutamicum reveals asymptotically linear growth, eLife 2021; 10:e70106

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Flenkenthaler, F., E. Ländström, B. Shashikadze, M. Backman, A. Blutke, J. Philippou-Massier, S. Renner, M. Hrabe de Angelis, R. Wanke, H. Blum, G. J. Arnold, E. Wolf and T. Fröhlich (2021): Differential Effects of Insulin-Deficient Diabetes Mellitus on Visceral vs. Subcutaneous Adipose Tissue-Multi-omics Insights From the Munich MIDY Pig Model, Frontiers in medicine 8: 751277-751277.

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Shashikadze, B., F. Flenkenthaler, J. Stöckl, L. Valla, S. Renner, E. Kemter, E. Wolf and T. Fröhlich (2021): „Developmental Effects of (Pre-)Gestational Diabetes on Offspring: Systematic Screening Using Omics Approaches.“ Genes 12: 1991.

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Stirm, M., L. M. Fonteyne, B. Shashikadze, M. Lindner, M. Chirivi, A. Lange, C. Kaufhold, C. Mayer, I. Medugorac, B. Kessler, M. Kurome, V. Zakhartchenko, A. Hinrichs, E. Kemter, S. Krause, R. Wanke, G. J. Arnold, G. Wess, H. Nagashima, M. Hrabĕ de Angelis, F. Flenkenthaler, L. A. Kobelke, C. Bearzi, R. Rizzi, A. Bähr, S. Reese, K. Matiasek, M. C. Walter, C. Kupatt, S. Ziegler, P. Bartenstein, T. Fröhlich, N. Klymiuk, A. Blutke and E. Wolf (2021). „A scalable, clinically severe pig model for Duchenne muscular dystrophy.“ Disease Models & Mechanisms 14(12).

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M Lotfollahi, F A Wolf, F J Theis: Machine learning for perturbational single-cell omics, Cell Systems, 12,  6, 16, 2021, 522-537

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O’Neill, L., Linder, G., van Buuren, M., & von Bayern, A.M.P. (2021). New Caledonian crows and hidden causal agents revisited; Animal Behavior and Cognition, 8(2), 166-189.

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2020

M. Schnepf, C. Ludwig, P. Bandilla, S. Ceolin, U. Unnerstall, C. Jung, U. Gaul; Science (2020); Sensitive Automated Measurement of Histone-DNA Affinities in Nucleosomes;

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R. Imamoglu, D. Balchin, M. Hayer-Hartl & F. U. Hart; Nature Communications (2020); Bacterial Hsp70 resolves misfolded states and accelerates productive folding of a multi-domain protein

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N. Kochanova, T. Schauer, G. P. Mathias, A. Lukacs, A. Schmidt, A. Flatley, A. Schepers A, A. W. Thomae, A. Imhof; Nucleic Acids Res. (2020); A multi-layered structure of the interphase chromocenter revealed by proximity-based biotinylation.

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V. Bergen, M. Lange, S. Peidli, F. A. Wolf, F. J. Theis; Nature biotechnology 38 (12), 1408-1414; Generalizing RNA velocity to transient cell states through dynamical modeling

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A Auer, M T Strauss, S Strauss, R Jungmann; nanoTRON: a Picasso module for MLP-based classification of super-resolution data; btaa154, https://doi.org/10.1093/bioinformatics/btaa154

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A Sandoval-Pérez, R M L Berger, A Garaizar, S E Farr, M A Brehm, G König, S W Schneider, R Collepardo-Guevara, V Huck, J O Rädler, C Aponte-Santamaría, DNA binds to a specific site of the adhesive blood-protein von Willebrand factor guided by electrostatic interactions, Nucleic Acids Research, gkaa466,

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Gartner, F. M., Graf, I. R., Wilke, P., Geiger, P. M., & Frey, E. (2020), Stochastic yield catastrophes and robustness in self-assembly. ELife, 9, 1–37.

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Striebel, M., Graf, I. R., & Frey, E. (2020). A mechanistic view of collective filament motion in active nematic networks. Biophysical Journal, 118(2), 313–324

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V H Do, K Elbassioni, S Canzar; Sphetcher: Spherical Thresholding Improves Sketching of Single-Cell Transcriptomic Heterogeneity, iScience. 2020;23(6):101126. doi:10.1016/j.isci.2020.101126

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M. Salfer, J. F. Collado, W. Baumeister, R. Fernández-Busnadiego, A. Martínez-Sánchez, Reliable estimation of membrane curvature for cryo-electron tomography, https://doi.org/10.1371/journal.pcbi.1007962

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E. L. Kozak, S. Palit, J. R. Miranda-Rodríguez, A. Janjic, A. Böttcher, H. Lickert, W. Enard, F. J. Theis, H. López-Schier, Epithelial Planar Bipolarity Emerges from Notch-Mediated Asymmetric Inhibition of Emx2, CellPress, Volume 30, Issue 6, 23 March 2020, Pages 1142-1151.e6, https://doi.org/10.1016/j.cub.2020.01.027

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Heermann T, Ramm B, Glaser S, Schwille P, Membrane-induced local self-enhancement of MinD membrane binding promotes Min protein pattern formation, J Mol Biol, 432(10):3191-3204

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Geßele R., Halatek J., Würthner L. and Frey E; Geometric cues stabilise long- axis polarisation of PAR protein patterns in C. elegans., Nat. Commun. 11(1): 539, 2020. doi: 10.1038/s41467-020-14317-w

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G. Giunta, H. Seyed-Allaei & U. Gerland, Cross-diffusion induced patterns for a single-step enzymatic reaction, Communications Physics volume 3, Article number: 167 (2020)

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Ghodgaonkar-Steger M, Potocnjak M, Zimniak T, Fischböck-Halwachs J, Solis-Mezarino V, Singh S, Speljko T, Hagemann G, Drexler DJ, Witte G, Herzog F; C-Terminal Motifs of the MTW1 Complex Cooperatively Stabilize Outer Kinetochore Assembly in Budding Yeast. Cell Reports. 2020; 32, 108190.

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M. C. Wigbers, F. Brauns, C. Y. Leung and E. Frey; Flow Induced Symmetry Breaking in a Conceptual Polarity Model, Cells 2020, 9(6), 1524;

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S. Strauss, R. Jungmann; Up to 100-fold speed-up and multiplexing in optimized DNA-PAINT; Nature Methods (2020); DOI: 10.1038/s41592-020-0869-x

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M.I.E. Harwardt, M.S. Schröder, Y. Li, S. Malkusch, P. Freund, S. Gupta, N. Janjic, S. Strauss, R. Jungmann, M.S. Dietz, M. Heilemann; Single-Molecule Super-Resolution Microscopy Reveals Heteromeric Complexes of MET and EGFR upon Ligand Activation; International Journal of Molecular Sciences (2020); DOI: 10.3390/ijms21082803

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D. B. Brückner, A. Fink, J. O. Rädler, C. P. Broedersz: Disentangling the behavioural variability of confined cell migration, J. R. Soc. Interface (2020)

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D. B. Brückner, P. Ronceray, C. P. Broedersz: Inferring the dynamics of underdamped stochastic systems, Phys. Rev. Lett. (2020)

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N.-K. Chlis, L. Rausch, Th. Brocker, J. Kranich, F. J. Theis; Predicting single-cell gene expression profiles of imaging flow cytometry data with machine learning; Nucleic Acids Research, gkaa926, https://doi.org/10.1093/nar/gkaa926

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N.-K. Chlis, A. Karlas, N.-A. Fasoul, M. Kallmayer, H.-H. Eckstein, F. J. Theis, V. Ntziachristos, C. Marr; A sparse deep learning approach for automatic segmentation of human vasculature in multispectral optoacoustic tomography, Photoacoustics Volume 20, December 2020, 100203

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J. Kranich, N.-K. Chlis, L. Rausch, A. Latha, M. Schifferer, T. Kurz, A. Foltyn-Arfa Kia, M. Simons, F. J. Theis & Th. Brocker; In vivo identification of apoptotic and extracellular vesicle-bound live cells using image-based deep learning; Journal of Extracellular Vesicles Volume 9, 2020 – Issue 1, Article: 1792683

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Thoms, M., Buschauer, R., Ameismeier, M., Koepke, L., Denk, T., Hirschenberger, M., Kratzat, H., Hayn, M., Mackens-Kiani, T., Cheng, J., et al. (2020); Structural basis for translational shutdown and immune evasion by the Nsp1 protein of SARS-CoV-2. Science 369, 1249-1255.

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Cheng, J., Lau, B., La Venuta, G., Ameismeier, M., Berninghausen, O., Hurt, E., and Beckmann, R. (2020). 90S pre-ribosome transformation into the primordial 40S subunit, Science 369, 1470-1476.

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L Kater, N Wagener, O Berninghausen, Th Becker, W Neupert & R Beckmann; Structure of the Bcs1 AAA-ATPase suggests an airlock-like translocation mechanism for folded proteins; Nature Structural & Molecular Biology volume 27, pages142–149(2020)

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L Kater, V Mitterer, M Thoms, J Cheng, O. Berninghausen, R Beckmann, E. Hurt; Construction of the Central Protuberance and L1 Stalk during 60S Subunit Biogenesis; Molecular Cell, Volume 79, Issue 4, 20 August 2020, Pages 615-628.e5

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Curd A P, Leng J, Hughes R E, Cleasby A J, Rogers B, Trinh C H, Baird M A, Takagi Y, Tiede C, Sieben C, Manley S, Schlichthaerle T, Jungmann R, Ries J, Shroff H, Peckham M; Nano Letters, in press (2020); Nanoscale Pattern Extraction from Relative Positions of Sparse 3D Localizations.

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Sograte-Idrissi S, Schlichthaerle T, Duque-Afonso C J, Alevra M, Strauss S, Moser T, Jungmann R, Rizzoli SO, Opazo F; Nanoscale 12: 10226-10239 (2020); Circumvention of common labelling artefacts using secondary nanobodies.

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D Rüdiger, K Kick, A Goychuk, A M Vollmar, E Frey, S Zahler; Cell Reports 32, 108015 (2020); Cell-Based Strain Remodeling of a Nonfibrous Matrix as an Organizing Principle for Vasculogenesis

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F Zhou, S A Schaffer, Ch Schreiber, F J Segerer, A Goychuk, E Frey, J O Rädler; PLOS ONE 15, e0230679 (2020); Quasi-periodic migration of single cells on short microlanes

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Singh AP, Salvatori R, Aftab W, Aufschnaiter A, Carlström A, Forne I, Imhof A, Ott M.; Mol Cell. 2020 Sep 17;79(6):1051-1065.e10. doi: 10.1016/j.molcel.2020.07.024. Epub 2020 Sep 1. PMID: 32877643; Molecular Connectivity of Mitochondrial Gene Expression and OXPHOS Biogenesis

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Salvatori R, Kehrein K, Singh AP, Aftab W, Möller-Hergt BV, Forne I, Imhof A, Ott; M. Mol Cell. 2020 Feb 20;77(4):887-900.e5. doi: 10.1016/j.molcel.2019.11.019. Epub 2019 Dec 26. PMID: 31883951; Molecular Wiring of a Mitochondrial Translational Feedback Loop

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Salvatori R, Aftab W, Forne I, Imhof A, Ott M, Singh AP. STAR Protoc. 2020 Dec 15;1(3):100219. doi: 10.1016/j.xpro.2020.100219. eCollection 2020 Dec 18. PMID: 33377112; Mapping protein networks in yeast mitochondria using proximity-dependent biotin identification coupled to proteomics

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Basch M, Wagner M, Rolland S, Carbonell A, Zeng R, Khosravi S, Schmidt A, Aftab W, Imhof A, Wagener J, Conradt B, Wagener N.; Mol Biol Cell. 2020 Apr 1;31(8):753-767. doi: 10.1091/mbc.E19-06-0329. Epub 2020 Feb 12. PMID: 32049577; Msp1 cooperates with the proteasome for extraction of arrested mitochondrial import intermediates

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M Strunz, Lukas M Simon, M Ansari, J J Kathiriya, I Angelidis, Ch H Mayr, G Tsidiridis, M Lange, L F Mattner, M Yee, P Ogar, A Sengupta, I Kukhtevich, R Schneider, Z Zhao, C Voss, T Stoeger, J HL Neumann, A Hilgendorff, J Behr, M O’Reilly, M Lehmann, G Burgstaller, M Königshoff, H A Chapman, F J Theis, H B Schiller; Nature communications 11 (1), 1-20; Alveolar regeneration through a Krt8+ transitional stem cell state that persists in human lung fibrosis

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M Lange, V Bergen, M Klein, M Setty, B Reuter, M Bakhti, H Lickert, M Ansari, J Schniering, H B Schiller, D Pe’er, F J Theis; ; CellRank for directed single-cell fate mapping

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N K Sinha, A Ordureau, K Best, J A Saba, B Zinshteyn, E Sundaramoorthy, A Fulzele, D M Garshott, T Denk, M Thoms, J A Paulo, J W Harper, E J Bennett, R Beckmann, R Green; EDF1 coordinates cellular responses to ribosome collisions; eLife 2020;9:e58828

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Wells JN, Buschauer R, Mackens-Kiani T, Best K, Kratzat H, Berninghausen O, Becker T, Gilbert W, Cheng J, Beckmann R.: Structure and function of yeast Lso2 and human CCDC124 bound to hibernating ribosomes; PLoS Biol. 2020 Jul 20;18(7):e3000780. doi: 10.1371/journal.pbio.3000780. PMID: 32687489; PMCID: PMC7392345.

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Blagotinsek V, Schwan M, Steinchen W, Mrusek D, Hook JC, Rossmann F, Freibert SA, Kratzat H, Murat G, Kressler D, Beckmann R, Beeby M, Thormann KM, Bange G.: An ATP-dependent partner switch links flagellar C-ring assembly with gene expression: Proc Natl Acad Sci U S A. 2020 Aug 25;117(34):20826-20835. doi: 10.1073/pnas.2006470117. Epub 2020 Aug 11. PMID: 32788349; PMCID: PMC7456076.

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T. Su, T. Izawa, M. Thoms, Y. Yamashita, J. Cheng, O. Berninghausen, F. U. Hartl, T. Inada, W. Neupert & R. Beckmann, Structure and function of Vms1 and Arb1 in RQC and mitochondrial proteome homeostasis, Nature, 570, 538–542 (2019)

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Jung C., Schnepf M., Bandilla P., Unnerstall U., Gaul U., High Sensitivity Measurement of Transcription Factor-DNA Binding Affinities by Competitive Titration Using Fluorescence Microscopy, J Vis Exp. 2019 Feb 7; (144). doi: 10.3791/58763.

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A. G. Knorr, C. Schmidt, P. Tesina, O. Berninghausen, T. Becker, B. Beatrix & R. Beckmann, Ribosome–NatA architecture reveals that rRNA expansion segments coordinate N-terminal acetylation, Nature Structural & Molecular Biology 26, 35–39 (2019)

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F. Stehr, J. Stein, F. Schueder, P. Schwille, R. Jungmann; Flat-top TIRF illumination boosts DNA-PAINT imaging and quantification, Nature Communications, (2019). 10: 1268

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O. K. Wade, J. B. Woehrstein, P. C. Nickels, S. Strauss, F. Stehr, J. Stein, F. Schueder, M.T. Strauss, M. Ganji, J. Schnitzbauer, H. Grabmayr, P. Yin, P. Schwille, R. Jungmann; 124-color super-resolution imaging by engineering DNA-PAINT blinking kinetics; Nano Letters (2019). 19(4): 2641-2646

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H. Eto, N. Soga, H. G. Franquelim, P. Glock, A. Khmelinskaia, L. Kai, M. Heymann, H. Noji and P. Schwille; Design of Sealable Custom-Shaped Cell Mimicries Based on Self- Assembled Monolayers on CYTOP Polymer, ACS Appl. Mater. Interfaces 2019, 11, 21372−21380

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S. Kempter, A. Khmelinskaia, M. T. Strauss, P. Schwille, R. Jungmann, T. Liedl, W. Bae; Single Particle Tracking and Super-Resolution Imaging of Membrane-Assisted Stop-and-Go Diffusion and Lattice Assembly of DNA Origami; ACS Nano, 2019, 132, 996-1002

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Krzysztoń R, Woschée D, Reiser A, Schwake G, Strey HH, Rädler JO. Single-cell kinetics of siRNA-mediated mRNA degradation. Nanomedicine: Nanotechnology, Biology and Medicine. 2019;21:102077.

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J Stein, F Stehr, P Schueler, P Blumhardt, F Schueder, J Mücksch, R  Jungmann, P Schwille, Toward Absolute Molecular Numbers in DNA-PAINT, Nano Lett.2019, September 19, 2019,

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F Schueder, J Stein, F Stehr, A Auer, B Sperl, M T. Strauss, P Schwille & R Jungmann, An order of magnitude faster DNA-PAINT imaging by optimized sequence design and buffer conditions, Nature Methods, Oct 7th

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F Mura, G Gradziuka and C. P. Broedersz, Soft Matter, Mesoscopic non-equilibrium measures can reveal intrinsic features of the active driving, Issue 40, 2019

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S. Palit, Ch. Heuser, G. P. de Almeida, F. J. Theis and Ch. E. Zielinski, Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in Immunology, Front. Immunol., 03 July 2019, https://doi.org/10.3389/fimmu.2019.01515

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F. A. Vieira Braga, G. Kar, M. Berg, O. A. Carpaij, K. Polanski, L. M. Simon, S. Brouwer, T. Gomes, L. Hesse, J. Jiang, E. S. Fasouli, M. Efremova, R. Vento-Tormo, C. Talavera-López, M. R. Jonker, K. Affleck, S. Palit, P. M. Strzelecka, H. V. Firth, K. T. Mahbubani, A. Cvejic, K. B. Meyer, K. Saeb-Parsy, M. Luinge, C.-A. Brandsma, W. Timens, I. Angelidis, M. Strunz, G. H. Koppelman, A. J. van Oosterhout, H. B. Schiller, F. J. Theis, M. van den Berge, M. C. Nawijn & S. A. Teichmann, A cellular census of human lungs identifies novel cell states in health and in asthma, Nature Medicine volume 25, pages1153–1163(2019)

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A. Fink, D. B. Brückner, C. Schreiber, P. J. F. Röttgermann, C. P. Broedersz and J. O. Rädler, Area and geometry dependence of cell migration in asymmetric two-state micropatterns, Biophys. J. (2019)

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P Tesina, E Heckel, J Cheng, M Fromont-Racine, R Buschauer, L Kater, B Beatrix, O Berninghausen, A Jacquier, Th Becker & R Beckmann; Structure of the 80S ribosome–Xrn1 nuclease complex; Nature Structural & Molecular Biology volume 26, pages275–280(2019)

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L Kater, B Frieg, O Berninghausen, H Gohlke, R Beckmann, A Kedrov; Partially inserted nascent chain unzips the lateral gate of the Sec translocon; EMBO Rep (2019)20:e48191https://doi.org/10.15252/embr.201948191

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A G Knorr, Ch Schmidt, P Tesina, O Berninghausen, Th Becker, B Beatrix, R Beckmann; 4Ribosome-NatA architecture reveals that rRNA expansion segments coordinate N-terminal acetylation; Nat Struct Mol Biol; 2019 Jan;26(1):35-39.

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Schlichthaerle T, Strauss MT, Schueder F, Auer A, Nijmeijer B, Kueblbeck M, Jimenez Sabinina V, Thevathasan JV, Ries J, Ellenberg J, Jungmann R; Angew Chem Int Ed Engl 58: 13004-13008 (2019); Direct Visualization of Single Nuclear Pore Complex Proteins Using Genetically-Encoded Probes for DNA-PAINT.

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Gotzke H, Kilisch M, Martinez-Carranza M, Sograte-Idrissi S, Rajavel A, Schlichthaerle T, Engels N, Jungmann R, Stenmark P, Opazo F, Frey S; Nat Commun 10: 4403 (2019); The ALFA-tag is a highly versatile tool for nanobody-based bioscience applications.

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Fazel M, Wester MJ, Mazloom-Farsibaf H, Meddens MBM, Eklund AS, Schlichthaerle T, Schueder F, Jungmann R, Lidke K A; Sci Rep 9: 13791 (2019); Bayesian Multiple Emitter Fitting using Reversible Jump Markov Chain Monte Carlo.

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Boger C, Hafner A S, Schlichtharle T, Strauss M T, Malkusch S, Endesfelder U, Jungmann R, Schuman E M, Heilemann M; Neurophotonics 6: 035008 (2019); Super-resolution imaging and estimation of protein copy numbers at single synapses with DNA-point accumulation for imaging in nanoscale topography.

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Frottin F, Schueder F, Tiwary S, Gupta R, Korner R, Schlichthaerle T, Cox J, Jungmann R, Hartl F U, Hipp MS; Science 365: 342-347 (2019) The nucleolus functions as a phase-separated protein quality control compartment.

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Camargo Ortega G, Falk S, Johansson PA, Peyre E, Broix L, Sahu SK, Hirst W, Schlichthaerle T, …, Jungmann R, Bradke F, Borrell V, Geerlof A, Reber S, Tiwari VK, Huttner WB, Wilsch-Brauninger M, Nguyen L, Gotz M; Nature 567: 113-117 (2019); The centrosome protein AKNA regulates neurogenesis via microtubule organization.
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F Thüroff, A Goychuk, M Reiter, E Frey; eLife 6, e46842 (2019); Bridging the gap between single cell migration and collective dynamics

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A Goychuk & E Frey, Physical Review Letters 123, 178101 (2019); Protein recruitment through indirect mechanochemical interactions

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S J Schink, E Biselli, C Ammar, U Gerland: Death rate of E. coli during starvation is set by maintenance cost and biomass recycling; Cell Systems, 9, ue 1, 2019, 64-73.e3, ISSN 2405-4712

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C Ammar, M Gruber, G Csaba, R Zimmer: MS-EmpiRe Utilizes Peptide-level Noise Distributions for Ultra-sensitive Detection of Differentially Expressed Proteins [S]; Technological Innovation and Resources, Volume 18, ISSUE 9, P1880-1892, September 01, 2019

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C Ammar, E Berchtold, G Csaba, A Schmidt, A Imhof, R Zimmer: Multi-reference spectral library yields almost complete coverage of heterogeneous LC-MS/MS data sets; J. Proteome Res. 2019, 18, 4, 1553–1566

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M Lotfollahi, F A Wolf & F. J. Theis, scGen predicts single-cell perturbation responses, Nature Methods, 16, 715–721 (2019)

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Yepez M, V.A., Kremer, L.S., Iuso, A., Gusic, M., Kopajtich, R., Konarikova, E., Nadel, A., Wachutka, L., Prokisch, H., and Gagneur, J. (2018). OCR-Stats: Robust estimation and statistical testing of mitochondrial respiration activities using Seahorse XF Analyzer.

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Schwarz, M., Schall, K., Kallis, E., Eustermann, S., Guariento, M., Moldt, M., Hopfner, K.P., and Michaelis, J. (2018). Single-molecule nucleosome remodeling by INO80 and effects of histone tails. FEBS letters.

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Lavagi, I., Krebs, S., Simmet, K., Beck, A., Zakhartchenko, V., Wolf, E., and Blum, H. (2018). Single-cell RNA sequencing reveals developmental heterogeneity of blastomeres during major genome activation in bovine embryos. Sci Rep 8, 4071.

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Franquelim, H.G., Khmelinskaia, A., Sobczak, J.P., Dietz, H., and Schwille, P. (2018). Membrane sculpting by curved DNA origami scaffolds. Nat Commun 9, 811.

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Tian, P., Steward, A., Kudva, R., Su, T., Shilling, P.J., Nickson, A.A., Hollins, J.J., Beckmann, R., Von Heijne, G., Best, R., et al. (2018). The Folding Pathway of an Ig Domain is Conserved On and Off the Ribosome. bioRxiv.

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Stapor, P., Froehlich, F., and Hasenauer, J. (2018). Optimization and uncertainty analysis of ODE models using second order adjoint sensitivity analysis. bioRxiv.

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Denk, J., Kretschmer, S., Halatek, J., Hartl, C., Schwille, P., and Frey, E. (2018). MinE conformational switching confers robustness on self-organized Min protein patterns. Proceedings of the National Academy of Sciences of the United States of America. DOI: 10.1073/pnas.1719801115

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Reiser, A., Zorn, M.L., Murschhauser, A., and Rädler, J.O. (2018). Single Cell Microarrays Fabricated by Microscale Plasma-Initiated Protein Patterning (μPIPP). In Cell-Based Microarrays (Springer), pp. 41-54.

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Froehlich, F., Reiser, A., Fink, L., Woschee, D., Ligon, T., Theis, F., Raedler, J., and Hasenauer, J. (2018). Multi-Experiment Nonlinear Mixed Effect Modeling of Single-Cell Translation Kinetics after Transfection. bioRxiv.

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Kretschmer, S., Harrington, L., and Schwille, P. (2018). Reverse and forward engineering of protein pattern formation. Philosophical Transactions of the Royal Society B: Biological Sciences 373.

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Cheng, J., Nguyen, T.Y.D., Cygan, K.J., Celik, M.H., Fairbrother, W.G., Avsec, Z., Gagneur, J. (2018). Modular modeling improves the predictions of genetic variant effects on splicing. bioRxiv. doi.org/10.1101/438986

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Kochanova, N.Schauer, T.Mathias, G.P., Lukacs, A., Schmidt, A., Flatley A., Schepers,A., Thomae,Imhof, A. (2018). Intricate structure of the interphase chromocenter revealed by the analysis of a factor involved in species formation. bioRxiv. doi.org/10.1101/441675

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Ramm, B., Glock, P., Mücksch, J., Blumhardt, P., García-Soriano, D. A., Heymann, M., Schwille, P. (2018). The MinDE system is a generic spatial cue for membrane protein distribution in vitro.  Nat Commun. doi: 10.1038/s41467-018-06310-1.

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Ramm, B., Glock, P., Schwille, P. (2018). In Vitro Reconstitution of Self-Organizing Protein Patterns on Supported Lipid Bilayers  J. Vis. Exp. (137). e58139, doi:10.3791/58139

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N. S. Deußner-Helfmann, A. Auer, M. T. Strauss, S. Malkusch, M. S. Dietz, H-D Barth, R. Jungmann, M. Heilemann, Nano letters, 18, 7, 4626-4630

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F. Brechtmann, A. Matuseviciute, Ch. Mertes, V. A. Yepez, Z. Avsec, M. Herzog, D. M. Bader, H. Prokisch, J. Gagneur, OUTRIDER: A statistical method for detecting aberrantly expressed genes in RNA sequencing data, AJHG, 2018, PMID: 30503520

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Chakraborty S, Canzar S, Marschall T , Schulz MH, Chromatyping: Reconstructing Nucleosome Profiles from NOMe Sequencing Data; Research in Computational Molecular Biology. RECOMB 2018. Lecture Notes in Computer Science. 2018;10812:60-61. doi: 10.1007/978-3-319-16706-0_8

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P. Blumhardt, J. Stein, J. Mücksch, F. Stehr, J. Bauer, R. Jungmann, P. Schwille; Photo-Induced Depletion of Binding Sites in DNA-PAINT Microscopy; Molecules (2018);  23(12): 3165

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A. Khmelinskaia, J. Mücksch, E. P. Petrov, H. G. Franquelim. P. Schwille; Control of Membrane Binding and Diffusion of Cholesteryl-Modified DNA Origami Nanostructures by DNA Spacers; Langmuir, 2018, 34, 49, 14921-14931

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A. Khmelinskaia, J. Mücksch, F. Conci, G. Chwastek, P. Schwille; FCS Analysis of Protein Mobility on Lipid Monolayers, Open Archive Published: March 28, 2018 DOI:https://doi.org/10.1016/j.bpj.2018.02.031

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W. Ye, S. Celiksoy, A. Jakab, A. Khmelinskaia, T. Heermann, A. Raso, S. V. Wegner, G. Rivas, P. Schwille, R. Ahijado-Guzmán, C. Sönnichsen; Plasmonic Nanosensors Reveal a Height Dependence of MinDE Protein Oscillations on Membrane Features, J. Am. Chem. Soc.2018, 140, 51

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B. von Bronk, A. Götz and M. Opitz; Locality of interactions in three-strain bacterial competition in E. coli; Physical Biology, Volume 16, Number 1

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A. Stöcker, S. Brockhaus, S. Schaffer, B. von Bronk, M. Opitz, S. Greven; Boosting Functional Response Models for Location, Scale and Shape with an Application to Bacterial Competition; arXiv:1809.09881

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Litschel T, Ramm B, Maas R, Heymann M, Schwille P (2018) Beating vesicles: Encapsulated protein oscillations cause dynamic membrane deformation, Angew Chemie Int Ed 57(50):16286–16290

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Bojer, M., Graf, I.R., and Frey, E. (2018). Self-organized system size oscillation of a stochastic lattice-gas model.; Phys. Rev. E 98, 012410

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S. Strauss, P.C. Nickels, M.T. Strauss, V.J. Sabinina, J. Ellenberg, J.D. Carter, S. Gupta, N. Janjic, R. Jungmann; Modified aptamers enable quantitative sub-10-nm cellular DNA-PAINT imaging; Nature Methods (2018).15: 1172-1180; DOI: 10.1038/s41592-018-0105-0

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Knoll KR, Eustermann S, Niebauer V, Oberbeckmann E, Stoehr G, Schall K, Tosi A, Schwarz M, Buchfellner A, Korber P, Hopfner KP; The nuclear actin-containing Arp8 module is a linker DNA sensor driving INO80 chromatin remodeling. Nat Struct Mol Biol. 2018 Sep;25(9):823-832. doi: 10.1038/s41594-018-0115-8. Epub 2018 Sep 3. PMID: 30177756.

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Ameismeier, M, Cheng, J, Berninghausen, O, and Beckmann, R, (2018); Visualizing late states of human 40S ribosomal subunit maturation. Nature 558, 49-253.

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M Thoms, V Mitterer, L Kater, L Falquet, R Beckmann, D Kressler & E Hurt; Suppressor mutations in Rpf2–Rrs1 or Rpl5 bypass the Cgr1 function for pre-ribosomal 5S RNP-rotation; Nature Communications volume 9, Article number: 4094 (2018)

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Schlichthaerle T, Ganji M, Auer A, Wade O K, Jungmann R; Chembiochem (2018); Bacterial-derived antibody binders as small adapters for DNA-PAINT microscopy.

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Basnet N, Nedozralova H, Crevenna AH, Bodakuntla S, Schlichthaerle T, Taschner M, Cardone G, Janke C, Jungmann R, Magiera MM, Biertumpfel C, Mizuno N; Nat Cell Biol 20: 1172-1180 (2018); Direct induction of microtubule branching by microtubule nucleation factor SSNA1.

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Auer A, Schlichthaerle T, Woehrstein J B, Schueder F, Strauss M T, Grabmayr H, Jungmann R; Chemphyschem 19: 3024-3034 (2018); Nanometer-scale Multiplexed Super-Resolution Imaging with an Economic 3D-DNA-PAINT Microscope.

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Schlichthaerle T, Eklund A S, Schueder F, Strauss M T, Tiede C, Curd A, Ries J, Peckham M, Tomlinson D C, Jungmann R; Angew Chem Int Ed Engl 57: 11060-11063 (2018); Site-Specific Labeling of Affimers for DNA-PAINT Microscopy.

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S J Schink, E Biselli, C Ammar, U Gerland: Maintenance Cost and Biomass Recycling Determine Fitness of E. Coli During Starvation; September 26, 2018, SSRN: https://ssrn.com/abstract=3255561

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Greiss, F., Kriegel, F., Braun, D. (2017). Probing the cooperativity of binding networks with high-throughput thermophoresis. Analytical Chemistry 89 (4), 2592-2597.

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Barthels, C., Ogrinc, A., Steyer, V., Meier, S., Simon, F., Wimmer, M., Blutke, A., Straub, T., Zimber-Strobl, U., Lutgens, E., et al. (2017). CD40-signalling abrogates induction of RORγt(+) Treg cells by intestinal CD103(+) DCs and causes fatal colitis. Nature Communications 8, 14715.

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Schueder, F., Strauss, M.T., Hoerl, D., Schnitzbauer, J., Schlichthaerle, T., Strauss, S., Yin, P., Harz, H., Leonhardt, H., and Jungmann, R. (2017). Universelles Superauflösungs-Multiplexing durch DNA-Austausch. Angewandte Chemie 129, 4111-4114.

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von Bronk, B., Schaffer, S.A., Gotz, A., and Opitz, M. (2017). Effects of stochasticity and division of labor in toxin production on two-strain bacterial competition in Escherichia coli. PLoS biology 15, e2001457.

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Schnitzbauer, J., Strauss, M.T., Schlichthaerle, T., Schueder, F., and Jungmann, R. (2017). Super-resolution microscopy with DNA-PAINT. Nature protocols 12, 1198-1228.

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Shetty, A., Kallgren, S.P., Demel, C., Maier, K.C., Spatt, D., Alver, B.H., Cramer, P., Park, P.J., and Winston, F. (2017). Spt5 Plays Vital Roles in the Control of Sense and Antisense Transcription Elongation. Molecular cell 66, 77-88 e75.

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Su, T., Cheng, J., Sohmen, D., Hedman, R., Berninghausen, O., von Heijne, G., Wilson, D.N., and Beckmann, R. (2017). The force-sensing peptide VemP employs extreme compaction and secondary structure formation to induce ribosomal stalling. eLife 6.

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Krzyszton, R., Salem, B., Lee, D.J., Schwake, G., Wagner, E., Rädler, J.O. (2017). Microfluidic self-assembly of folate-targeted monomolecular siRNA-lipid nanoparticles. Nanoscale 9, 7442-7453.

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Kesel, S., von Bronk, B., Falcon Garcia, C., Gotz, A., Lieleg, O., and Opitz, M. (2017). Matrix composition determines the dimensions of Bacillus subtilis NCIB 3610 biofilm colonies grown on LB agar. RSC Advances 7, 31886-31898.

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Leonaite, B., Han, Z., Basquin, J., Bonneau, F., Libri, D., Porrua, O., and Conti, E. (2017). Sen1 has unique structural features grafted on the architecture of the Upf1-like helicase family. The EMBO journal 36, 1590-1604.

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Bäuerlein, F.J.B., Saha, I., Mishra, A., Kalemanov, M., Martínez-Sánchez, A., Klein, R., Dudanova, I., Hipp, M.S., Hartl, F.U., Baumeister, W., Fernández-Busnadiego, R. (2017). In Situ Architecture and Cellular Interactions of PolyQ Inclusions. Cell 171, 179-187 e110.

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Avsec, Z., Barekatain, M., Cheng, J., Gagneur, J. (2017). Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks. Bioinformatics doi.10.1093/bioinformatics/btx727

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Cheng, J., Maier, K.C., Avsec, Z., Rus, P., and Gagneur, J. (2017). Cis-regulatory elements explain most of the mRNA stability variation across genes in yeast. Rna 23, 1648-1659.

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Kremer, L.S., Bader, D.M., Mertes, C., Kopajtich, R., Pichler, G., Iuso, A., Haack, T.B., Graf, E., Schwarzmayr, T., Terrile, C., et al. (2017). Genetic diagnosis of Mendelian disorders via RNA sequencing. Nat Commun 8, 15824.

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Buttner, M., Miao, Z., Wolf, A., Teichmann, S.A., and Theis, F.J. (2017). Assessment of batch-correction methods for scRNA-seq data with a new test metric. bioRxiv, 200345.

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Kater, L., Thoms, M., Barrio-Garcia, C., Cheng, J., Ismail, S., Ahmed, Y.L., Bange, G., Kressler, D., Berninghausen, O., Sinning, I., et al. (2017). Visualizing the Assembly Pathway of Nucleolar Pre-60S Ribosomes. Cell 171, 1599-1610. e1514.

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Tritschler, S., Theis, F.J., Lickert, H., and Böttcher, A. (2017). Systematic single-cell analysis provides new insights into heterogeneity and plasticity of the pancreas. Molecular metabolism 6, 974-990.

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Loos, C., Moeller, K., Fröhlich, F., Hucho, T., and Hasenauer, J. (2017). Mechanistic hierarchical population model identifies latent causes of cell-to-cell variability. bioRxiv, 171561.

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Kretschmer, S., Zieske, K., and Schwille, P. (2017). Large-scale modulation of reconstituted Min protein patterns and gradients by defined mutations in MinE’s membrane targeting sequence. PloS one 12, e0179582.

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Froehlich, F., Kessler, T., Weindl, D., Shadrin, A., Schmiester, L., Hache, H., Muradyan, A., Schuette, M., Lim, J.-H., Heinig, M., et al. (2017). Efficient parameterization of large-scale mechanistic models enables drug response prediction for cancer cell lines. bioRxiv, 174094.

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Stricker, G., Engelhardt, A., Schulz, D., Schmid, M., Tresch, A., and Gagneur, J. (2017). GenoGAM: genome-wide generalized additive models for ChIP-Seq analysis. Bioinformatics, btx150.

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Fischer, D.S., Fiedler, A.K., Kernfeld, E., Genga, R.M., Hasenauer, J., Maehr, R., and Theis, F.J. (2017). Beyond pseudotime: Following T-cell maturation in single-cell RNAseq time series. bioRxiv, 219188.

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Angerer, P., Simon, L., Tritschler, S., Wolf, F.A., Fischer, D., and Theis, F.J. (2017). Single cells make big data: New challenges and opportunities in transcriptomics. Current Opinion in Systems Biology 4, 85-91.

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Schauer, T., Ghavi‐Helm, Y., Sexton, T., Albig, C., Regnard, C., Cavalli, G., Furlong, E.E., and Becker, P.B. (2017). Chromosome topology guides the Drosophila Dosage Compensation Complex for target gene activation. EMBO reports 18, 1854-1868.

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Biselli, E., Agliari, E., Barra, A., Bertani, F.R., Gerardino, A., De Ninno, A., Mencattini, A., Di Giuseppe, D., Mattei, F., Schiavoni, G., et al. (2017). Organs on chip approach: a tool to evaluate cancer-immune cells interactions. Sci Rep-Uk 7, 12737.

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Graf, I.R., and Frey, E. (2017). Generic transport mechanisms for molecular traffic in cellular protrusions. Phys Rev Lett 118, 128101.

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Miyagi, A., Ramm, B., Schwille, P., and Scheuring, S. (2017). High-speed AFM reveals the inner workings of the MinDE protein oscillator. Nano letters.

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Stapor, P., Weindl, D., Ballnus, B., Hug, S., Loos, C., Fiedler, A., Krause, S., Hroß, S., Fröhlich, F., and Hasenauer, J. (2017). PESTO: Parameter EStimation TOolbox. Bioinformatics.

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Bauer, M., Graf, I.R., Ngampruetikorn, V., Stephens, G.J., and Frey, E. (2017). Exploiting ecology in drug pulse sequences in favour of population reduction. Plos Comput Biol 13, e1005747.

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Ligon, T.S., Fröhlich, F., Chi, O.T., Banga, J.R., Balsa-Canto, E., and Hasenauer, J. (2017). GenSSI 2.0: Multi-experiment structural identifiability analysis of SBML models. Bioinformatics.

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Garzorz-Stark, N., Lauffer, F., Krause, L., Thomas, J., Atenhan, A., Franz, R., Roenneberg, S., Boehner, A., Jargosch, M., Batra, R., et al. (2017). Toll-like receptor 7/8 agonists stimulate plasmacytoid dendritic cells to initiate TH17-deviated acute contact dermatitis in human subjects. Journal of Allergy and Clinical Immunology.

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Schumacher, D., Bergeler, S., Harms, A., Vonck, J., Huneke-Vogt, S., Frey, E., and Søgaard-Andersen, L. (2017). The PomXYZ Proteins Self-Organize on the Bacterial Nucleoid to Stimulate Cell Division. Developmental Cell 41, 299-314. e213.

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Fröhlich, F., Loos, C., and Hasenauer, J. (2017). Scalable Inference of Ordinary Differential Equation Models of Biochemical Processes. arXiv preprint arXiv:171108079.

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Ait-El-Mkadem, S., Dayem-Quere, M., Gusic, M., Chaussenot, A., Bannwarth, S., François, B., Genin, E.C., Fragaki, K., Volker-Touw, C.L.M., Vasnier, C., et al. Mutations in MDH2, Encoding a Krebs Cycle Enzyme, Cause Early-Onset Severe Encephalopathy. The American Journal of Human Genetics 100, 151-159.

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Blutke, A., Renner, S., Flenkenthaler, F., Backman, M., Haesner, S., Kemter, E., Landstrom, E., Braun-Reichhart, C., Albl, B., Streckel, E., et al. (2017). The Munich MIDY Pig Biobank – A unique resource for studying organ crosstalk in diabetes. Mol Metab 6, 931-940.

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Auer A, Strauss M T, Schlichthaerle T, Jungmann R ; Nano Lett 17: 6428-6434 (2017); Fast, Background-Free DNA-PAINT Imaging Using FRET-Based Probes.

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Schueder F, Strauss M T, Hoerl D, Schnitzbauer J, Schlichthaerle T, Strauss S, Yin P, Harz H, Leonhardt H, Jungmann R; Angew Chem Int Ed Engl 56: 4052-4055 (2017); Universal Super-Resolution Multiplexing by DNA Exchange.

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2016

Denk, J., Huber, L., Reithmann, E., and Frey, E. (2016). Active Curved Polymers Form Vortex Patterns on Membranes. Phys Rev Lett 116.

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Dau, T., Edeleva, E.V., Seidel, S.A.I., Stockley, R.A., Braun, D., and Jenne, D.E. (2016). Quantitative analysis of protease recognition by inhibitors in plasma using microscale thermophoresis. Sci Rep-Uk 6, 35413.

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Chatzopoulou, E.I., Roskopf, C.C., Sekhavati, F., Braciak, T.A., Fenn, N.C., Hopfner, K.-P., Oduncu, F.S., Fey, G.H., and Rädler, J.O. (2016). Chip-based platform for dynamic analysis of NK cell cytolysis mediated by a triplebody. Analyst 141, 2284-2295.

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Eser, P., Wachutka, L., Maier, K.C., Demel, C., Boroni, M., Iyer, S., Cramer, P., and Gagneur, J. (2016). Determinants of RNA metabolism in the Schizosaccharomyces pombe genome. Mol Syst Biol 12, 857.

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Fröhlich, F., Theis, F.J., Rädler, J.O., and Hasenauer, J. (2016). Parameter estimation for dynamical systems with discrete events and logical operations. Bioinformatics.

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Fröhlich, F., Thomas, P., Kazeroonian, A., Theis, F.J., Grima, R., and Hasenauer, J. (2016). Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion. Plos Comput Biol 12.

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Greiss, F., Deligiannaki, M., Jung, C., Gaul, U., and Braun, D. (2016). Single-Molecule Imaging in Living Drosophila Embryos with Reflected Light-Sheet Microscopy. Biophys J 110, 939-946.

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Haghverdi, L., Büttner, M., Wolf, F.A., Buettner, F., and Theis, F.J. (2016). Diffusion pseudotime robustly reconstructs lineage branching. Nature methods 13, 845-848.

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Kazeroonian, A., Fröhlich, F., Raue, A., Theis, F.J., and Hasenauer, J. (2016). CERENA: ChEmical REaction Network Analyzer-A Toolbox for the Simulation and Analysis of Stochastic Chemical Kinetics. PloS one 11, e0146732.

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Khmelinskaia, A., Franquelim, H.G., Petrov, E.P., and Schwille, P. (2016). Effect of anchor positioning on binding and diffusion of elongated 3D DNA nanostructures on lipid membranes. J Phys D Appl Phys 49.

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Kretschmer, S., and Schwille, P. (2016). Pattern formation on membranes and its role in bacterial cell division. Current opinion in cell biology 38, 52-59.

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Mura, F., Zaccone., A. (2016). Effects of shear flow on phase nucleation and crystallization. Physical Review E 93, 042803.

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Ramirez, D., Garcia-Soriano, D.A., Raso, A., Feingold, M., Rivas, G., and Schwille, P. (2016). Chiral vortex dynamics on membranes is an intrinsic property of FtsZ, driven by GTP hydrolysis. bioRxiv.

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Schmidt, C., Becker, T., Heuer, A., Braunger, K., Shanmuganathan, V., Pech, M., Berninghausen, O., Wilson, D.N., and Beckmann, R. (2016). Structure of the hypusinylated eukaryotic translation factor eIF-5A bound to the ribosome. Nucleic acids research 44, 1944-1951.

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Schmidt, C., Kowalinski, E., Shanmuganathan, V., Defenouillere, Q., Braunger, K., Heuer, A., Pech, M., Namane, A., Berninghausen, O., Fromont-Racine, M., Jacquier, A., Conti, E., Becker, T., Beckmann, R. (2016). The cryo-EM structure of a ribosome-Ski2-Ski3-Ski8 helicase complex. Science 354, 1431-1433.

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Schwalb, B., Michel, M., Zacher, B., Fruhauf, K., Demel, C., Tresch, A., Gagneur, J., and Cramer, P. (2016). TT-seq maps the human transient transcriptome. Science 352, 1225-1228.

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Eraslan, G., Arloth, J., Martins, J., Iurato, S., Czamara, D., Binder, E.B., Theis, F.J., and Mueller, N.S. (2016). DeepWAS: Directly integrating regulatory information into GWAS using deep learning supports master regulator MEF2C as risk factor for major depressive disorder. bioRxiv.

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Schiller, C.B., Braciak, T.A., Fenn, N.C., Seidel, U.J., Roskopf, C.C., Wildenhain, S., Honegger, A., Schubert, I.A., Schele, A., Lämmermann, K., et al. (2016). CD19-specific triplebody SPM-1 engages NK and γδ T cells for rapid and efficient lysis of malignant B-lymphoid cells. Oncotarget 7, 83392.

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Roskopf, C.C., Braciak, T.A., Fenn, N.C., Kobold, S., Fey, G.H., Hopfner, K.-P., and Oduncu, F.S. (2016). Dual-targeting triplebody 33-3-19 mediates selective lysis of biphenotypic CD19+ CD33+ leukemia cells. Oncotarget 7, 22579.

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Blasi T, Feller C, Feigelman J, Hasenauer J, Imhof A, Theis FJ, Becker PB, Marr C; Combinatorial Histone Acetylation Patterns Are Generated by Motif-Specific Reactions; Cell Syst. 2016 Jan 27;2(1):49-58. doi: 10.1016/j.cels.2016.01.002. Epub 2016 Jan 27.

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Schlichthaerle T, Strauss M T, Schueder F, Woehrstein J B, Jungmann R; Curr Opin Biotechnol 39: 41-47 (2016); DNA nanotechnology and fluorescence applications.

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2015

Angerer, P., Haghverdi, L., Büttner, M., Theis, F.J., Marr, C., and Buettner, F. (2015). destiny: diffusion maps for large-scale single-cell data in R. Bioinformatics.

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Bader, D.M., Wilkening, S., Lin, G., Tekkedil, M.M., Dietrich, K., Steinmetz, L.M., and Gagneur, J. (2015). Negative feedback buffers effects of regulatory variants. Molecular systems biology 11, 785.

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Haack, T.B., Staufner, C., Kopke, M.G., Straub, B.K., Kolker, S., Thiel, C., Freisinger, P., Baric, I., McKiernan, P.J., Dikow, N., Harting, I., Beisse, F., Burgard, P., Kotzaeridou, U., Kühr, J., Himbert, U., Taylor, R.W., Distelmaier, F., Vockley, J., Ghaloul-Gonzalez, L., Zschocke, J., Kremer, L.S., Graf, E., Schwarzmayr, T., Bader, D.M., Gagneur, J., et al. (2015). Biallelic Mutations in NBAS Cause Recurrent Acute Liver Failure with Onset in Infancy. American journal of human genetics 97, 163-169.

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Reichl, M., Herzog, M., Greiss, F., Wolff, M., and Braun, D. (2015). Understanding the similarity in thermophoresis between single- and double-stranded DNA or RNA. Physical review E, Statistical, nonlinear, and soft matter physics 91, 062709.

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Kretschmer, S., and Schwille, P. (2015). Rekonstitution biologischer Selbstorganisation in vitro. BIOspektrum 21, 148-150.

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Arloth, J., Bader, D.M., Röh, S., and Altmann, A. (2015). Re-Annotator: Annotation Pipeline for Microarray Probe Sequences. PloS one 10, e0139516.

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Beckert, B., Kedrov, A., Sohmen, D., Kempf, G., Wild, K., Sinning, I., Stahlberg, H., Wilson, D.N., and Beckmann, R. (2015). Translational arrest by a prokaryotic signal recognition particle is mediated by RNA interactions. Nature structural & molecular biology 22, 767-773.

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Matheisl, S., Berninghausen, O., Becker, T., and Beckmann, R. (2015). Structure of a human translation termination complex. Nucleic acids research 43, 8615-8626.

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Sekhavati, F., Endele, M., Rappl, S., Marel, A.-K., Schroeder, T., and Rädler, J.O. (2015). Marker-free detection of progenitor cell differentiation by analysis of Brownian motion in micro-wells. Integrative Biology 7, 178-183.

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2014

Fröhlich, F., Hross, S., Theis, F.J., and Hasenauer, J. (2014). Radial Basis Function Approximations of Bayesian Parameter Posterior Densities for Uncertainty Analysis. In: Mendes P., Dada J.O., Smallbone K. (eds) Computational Methods in Systems Biology. CMSB 2014. Lecture Notes in Computer Science, vol 8859. Springer, Cham

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Fröhlich, F., Theis, F.J., and Hasenauer, J. (2014).  Uncertainty Analysis for Non-identifiable Dynamical Systems: Profile Likelihoods, Bootstrapping and More. In: Mendes P., Dada J.O., Smallbone K. (eds) Computational Methods in Systems Biology. CMSB 2014. Lecture Notes in Computer Science, vol 8859. Springer, Cham

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Graf, A., Krebs, S., Heininen-Brown, M., Zakhartchenko, V., Blum, H., and Wolf, E. (2014). Genome activation in bovine embryos: review of the literature and new insights from RNA sequencing experiments. Animal reproduction science 149, 46-58.

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Kretschmer, S., and Schwille, P. (2014). Toward Spatially Regulated Division of Protocells: Insights into the E. coli Min System from in Vitro Studies. Life 4, 915-928.

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Hopfner, K.P. (2014). RIG-I holds the CARDs in a game of self versus nonself. Molecular cell 55, 505-507.

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