GSC 1006:  Graduate School of Quantitative Biosciences Munich (QBM)

• Subject Area: Basic Research in Biology and Medicine
• Term: from 2012 to 2019
• Project identifier: Deutsche Forschungsgemeinschaft (DFG) - Project number 194407719

• Final Report Year: 2020

Final Report Abstract

The molecular biosciences are undergoing a major paradigm shift – away from analyzing individual genes and proteins to studying large molecular machines and cellular pathways, with the ultimate goal of understanding biological systems in their entirety. The emerging study of biomolecular systems faces major methodological and conceptual challenges due to the need for quantitative approaches for the study and characterization of biological systems. This includes the development of sensitive quantitative assays, both for cell-based high throughput and for in vivo analyses; improved measurement techniques that ideally push resolution limits to the single molecule level; statistical methods capable of managing high-dimensional, often noisy, data sets; and mathematical modeling approaches that reduce the dimensionality of parameter spaces and produce mechanistically realistic, experimentally testable predictions. As a result, systemsoriented biological research is inherently an interdisciplinary undertaking, involving biochemistry/structural biology, molecular and organismal genetics, molecular biology, biophysics, biostatistics, bioinformatics, and theoretical physics. The mission of the Graduate School of Quantitative Biosciences Munich (QBM) is to provide a new generation of scientists with the skills and resources to excel in this new multi-disciplinary environment. The school offers a structured PhD program consisting of three components: an interdisciplinary research project, a program of formal lectures and course work including an interdisciplinary core course that covers key problems in bioscience from multiple perspectives, and activities to enhance students’ communication skills. Beyond its educational mission, the school provides a framework for interdisciplinary collaboration between the participating PIs and groups, thereby directly advancing the aims of quantitative, systems-oriented bioscience. The school was built on LMU Munich’s strengths in biochemistry and physics, complemented by adjacent disciplines, in particular applied mathematics and medicine, and by neighboring institutions (MPI Biochemistry, Helmholtz Center Munich). Encompassing a wide range of methodological approaches, the school concentrates thematically on the control of gene expression in all its aspects and the interplay of different control mechanisms in regulatory networks, a fundamental problem that is well suited for the envisioned quantitative and systemic analysis and has important medical implications. With its strong emphasis on anchoring theoretical analysis in advanced quantitative experimentation, its focus on the control of gene expression, and the excellence of the participating scientists, the school as of today has a unique position within the European scientific landscape.

Link to the final report

https://doi.org/10.2314/KXP:1702177580

Publications

• (2013). Transcriptome surveillance by selective termination of noncoding RNA synthesis. Cell 155, 1075-1087
  Schulz, D., Schwalb, B., Kiesel, A., Baejen, C., Torkler, P., Gagneur, J., Soeding, J., and Cramer, P.
  (See online at https://doi.org/10.1016/j.cell.2013.10.024)
• (2014). ATP puts the brake on DNA double‐strand break repair. Bioessays 36, 1170-1178
  Hopfner, K.P.
  (See online at https://doi.org/10.1002/bies.201400102)
• (2014). Genome activation in bovine embryos: review of the literature and new insights from RNA sequencing experiments. Animal reproduction science 149, 46-58
  Graf, A., Krebs, S., Heininen-Brown, M., Zakhartchenko, V., Blum, H., and Wolf, E.
  (See online at https://doi.org/10.1016/j.anireprosci.2014.05.016)
• (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
  Fröhlich, F., Hross, S., Theis, F.J., and Hasenauer, J.
  (See online at https://doi.org/10.1007/978-3-319-12982-2_6)
• (2014). RIG-I holds the CARDs in a game of self versus nonself. Molecular cell 55, 505-507
  Hopfner, K. P.
  (See online at https://doi.org/10.1016/j.molcel.2014.08.009)
• (2014). Toward Spatially Regulated Division of Protocells: Insights into the E. coli Min System from in Vitro Studies. Life 4, 915-928
  Kretschmer, S., and Schwille, P.
  (See online at https://doi.org/10.3390/life4040915)
• (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
  Fröhlich, F., Theis, F.J., and Hasenauer, J.
  (See online at https://doi.org/10.1007/978-3-319-12982-2_5)
• (2015). Biallelic Mutations in NBAS Cause Recurrent Acute Liver Failure with Onset in Infancy. American journal of human genetics 97, 163-169
  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.
  (See online at https://doi.org/10.1016/j.ajhg.2015.05.009)
• (2015). destiny: diffusion maps for large-scale single-cell data in R. Bioinformatics
  Angerer, P., Haghverdi, L., Büttner, M., Theis, F.J., Marr, C., and Buettner, F.
  (See online at https://doi.org/10.1093/bioinformatics/btv715)
• (2015). Marker-free detection of progenitor cell differentiation by analysis of Brownian motion in microwells. Integrative Biology 7, 178-183
  Sekhavati, F., Endele, M., Rappl, S., Marel, A.-K., Schroeder, T., and Rädler, J.O.
  (See online at https://doi.org/10.1039/c4ib00158c)
• (2015). Negative feedback buffers effects of regulatory variants. Molecular systems biology 11, 785
  Bader, D.M., Wilkening, S., Lin, G., Tekkedil, M.M., Dietrich, K., Steinmetz, L.M., and Gagneur, J.
  (See online at https://doi.org/10.15252/msb.20145844)
• (2015). Re-Annotator: Annotation Pipeline for Microarray Probe Sequences. PloS one 10, e0139516
  Arloth, J., Bader, D.M., Röh, S., and Altmann, A.
  (See online at https://doi.org/10.1371/journal.pone.0139516)
• (2015). Rekonstitution biologischer Selbstorganisation in vitro. BIOspektrum 21, 148-150
  Kretschmer, S., and Schwille, P.
  (See online at https://doi.org/10.1007/s12268-015-0550-6)
• (2015). Structure of a human translation termination complex. Nucleic acids research 43, 8615-8626
  Matheisl, S., Berninghausen, O., Becker, T., and Beckmann, R.
  (See online at https://doi.org/10.1093/nar/gkv909)
• (2015). Translational arrest by a prokaryotic signal recognition particle is mediated by RNA interactions. Nature structural & molecular biology 22, 767-773
  Beckert, B., Kedrov, A., Sohmen, D., Kempf, G., Wild, K., Sinning, I., Stahlberg, H., Wilson, D.N., and Beckmann, R.
  (See online at https://doi.org/10.1038/nsmb.3086)
• (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
  Reichl, M., Herzog, M., Greiss, F., Wolff, M., and Braun, D.
  (See online at https://doi.org/10.1103/PhysRevE.91.062709)
• (2016). Active Curved Polymers Form Vortex Patterns on Membranes. Phys Rev Lett 116
  Denk, J., Huber, L., Reithmann, E., and Frey, E.
  (See online at https://doi.org/10.1103/PhysRevLett.116.178301)
• (2016). CERENA: ChEmical REaction Network Analyzer-A Toolbox for the Simulation and Analysis of Stochastic Chemical Kinetics. PloS one 11, e0146732
  Kazeroonian, A., Fröhlich, F., Raue, A., Theis, F.J., and Hasenauer, J.
  (See online at https://doi.org/10.1371/journal.pone.0146732)
• (2016). Chip-based platform for dynamic analysis of NK cell cytolysis mediated by a triplebody. Analyst 141, 2284-2295
  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.
  (See online at https://doi.org/10.1039/c5an02585k)
• (2016). Chiral vortex dynamics on membranes is an intrinsic property of FtsZ, driven by GTP hydrolysis. bioRxiv
  Ramirez, D., Garcia-Soriano, D.A., Raso, A., Feingold, M., Rivas, G., and Schwille, P.
  (See online at https://doi.org/10.1101/079533)
• (2016). DeepWAS: Directly integrating regulatory information into GWAS using deep learning supports master regulator MEF2C as risk factor for major depressive disorder. bioRxiv
  Eraslan, G., Arloth, J., Martins, J., Iurato, S., Czamara, D., Binder, E.B., Theis, F.J., and Mueller, N.S.
  (See online at https://doi.org/10.1101/069096)
• (2016). Determinants of RNA metabolism in the Schizosaccharomyces pombe genome. Mol Syst Biol 12, 857
  Eser, P., Wachutka, L., Maier, K.C., Demel, C., Boroni, M., Iyer, S., Cramer, P., and Gagneur, J.
  (See online at https://doi.org/10.15252/msb.20156526)
• (2016). Diffusion pseudotime robustly reconstructs lineage branching. Nature methods 13, 845-848
  Haghverdi, L., Büttner, M., Wolf, F.A., Buettner, F., and Theis, F.J.
  (See online at https://doi.org/10.1038/nmeth.3971)
• (2016). DNA nanotechnology and fluorescence applications. Current opinion in biotechnology 39, 41- 47
  Schlichthaerle, T., Strauss, M.T., Schueder, F., Woehrstein, J.B., and Jungmann, R.
  (See online at https://doi.org/10.1016/j.copbio.2015.12.014)
• (2016). Dual-targeting triplebody 33-3-19 mediates selective lysis of biphenotypic CD19+ CD33+ leukemia cells. Oncotarget 7, 22579
  Roskopf, C.C., Braciak, T.A., Fenn, N.C., Kobold, S., Fey, G.H., Hopfner, K.-P., and Oduncu, F.S.
  (See online at https://doi.org/10.18632/oncotarget.8022)
• (2016). Effect of anchor positioning on binding and diffusion of elongated 3D DNA nanostructures on lipid membranes. J Phys D Appl Phys 49
  Khmelinskaia, A., Franquelim, H.G., Petrov, E.P., and Schwille, P.
  (See online at https://doi.org/10.1088/0022-3727/49/19/194001)
• (2016). Effects of shear flow on phase nucleation and crystallization. Physical Review E 93, 042803
  Mura, F., Zaccone., A.
  (See online at https://doi.org/10.1103/PhysRevE.93.042803)
• (2016). Inference for Stochastic Chemical Kinetics Using Moment Equations and System Size Expansion. Plos Comput Biol 12
  Fröhlich, F., Thomas, P., Kazeroonian, A., Theis, F.J., Grima, R., and Hasenauer, J.
  (See online at https://doi.org/10.1371/journal.pcbi.1005030)
• (2016). Parameter estimation for dynamical systems with discrete events and logical operations. Bioinformatics
  Fröhlich, F., Theis, F.J., Rädler, J.O., and Hasenauer, J.
  (See online at https://doi.org/10.1093/bioinformatics/btw764)
• (2016). Pattern formation on membranes and its role in bacterial cell division. Current opinion in cell biology 38, 52-59
  Kretschmer, S., and Schwille, P.
  (See online at https://doi.org/10.1016/j.ceb.2016.02.005)
• (2016). Quantitative analysis of protease recognition by inhibitors in plasma using microscale thermophoresis. Sci Rep-Uk 6, 35413
  Dau, T., Edeleva, E.V., Seidel, S.A.I., Stockley, R.A., Braun, D., and Jenne, D.E.
  (See online at https://doi.org/10.1038/srep35413)
• (2016). Single-Molecule Imaging in Living Drosophila Embryos with Reflected Light-Sheet Microscopy. Biophys J 110, 939-946
  Greiss, F., Deligiannaki, M., Jung, C., Gaul, U., and Braun, D.
  (See online at https://doi.org/10.1016/j.bpj.2015.12.035)
• (2016). Structure of the hypusinylated eukaryotic translation factor eIF-5A bound to the ribosome. Nucleic acids research 44, 1944- 1951
  Schmidt, C., Becker, T., Heuer, A., Braunger, K., Shanmuganathan, V., Pech, M., Berninghausen, O., Wilson, D.N., and Beckmann, R.
  (See online at https://doi.org/10.1093/nar/gkv1517)
• (2016). The cryo-EM structure of a ribosome-Ski2-Ski3-Ski8 helicase complex. Science 354, 1431-1433
  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.
  (See online at https://doi.org/10.1126/science.aaf7520)
• (2016). TT-seq maps the human transient transcriptome. Science 352, 1225-1228
  Schwalb, B., Michel, M., Zacher, B., Fruhauf, K., Demel, C., Tresch, A., Gagneur, J., and Cramer, P.
  (See online at https://doi.org/10.1126/science.aad9841)
• (2017). Assessment of batchcorrection methods for scRNA-seq data with a new test metric. bioRxiv, 200345
  Buttner, M., Miao, Z., Wolf, A., Teichmann, S.A., and Theis, F.J.
  (See online at https://doi.org/10.1038/s41592-018-0254-1)
• (2017). Beyond pseudotime: Following T-cell maturation in single-cell RNAseq time series
  Fischer, D.S., Fiedler, A.K., Kernfeld, E., Genga, R.M., Hasenauer, J., Maehr, R., and Theis, F.J.
  (See online at https://doi.org/10.1038/s41587-019-0088-0)
• (2017). Broken detailed balance and non-equilibrium dynamics in living systems
  Gnesotto, F., Mura, F., Gladrow, J., and Broedersz, C.P.
  (See online at https://doi.org/10.1088/1361-6633/aab3ed)
• (2017). CD40-signalling abrogates induction of RORγt(+) Treg cells by intestinal CD103(+) DCs and causes fatal colitis. Nature Communications 8, 14715
  Barthels, C., Ogrinc, A., Steyer, V., Meier, S., Simon, F., Wimmer, M., Blutke, A., Straub, T., Zimber-Strobl, U., Lutgens, E., et al.
  (See online at https://doi.org/10.1038/ncomms14715)
• (2017). Chromosome topology guides the Drosophila Dosage Compensation Complex for target gene activation. EMBO reports 18, 1854-1868
  Schauer, T., Ghavi‐Helm, Y., Sexton, T., Albig, C., Regnard, C., Cavalli, G., Furlong, E.E., and Becker, P.B.
  (See online at https://doi.org/10.15252/embr.201744292)
• (2017). Cis-regulatory elements explain most of the mRNA stability variation across genes in yeast. Rna 23, 1648-1659
  Cheng, J., Maier, K.C., Avsec, Z., Rus, P., and Gagneur, J.
  (See online at https://doi.org/10.1261/rna.062224.117)
• (2017). compleXView: a server for the interpretation of protein abundance and connectivity information to identify protein complexes. Nucleic acids research
  Solis-Mezarino, V., and Herzog, F.
  (See online at https://doi.org/10.1093/nar/gkx411)
• (2017). Control of lipid domain organization by a biomimetic contractile actomyosin cortex. eLife 6
  Vogel, S.K., Greiss, F., Khmelinskaia, A., and Schwille, P.
  (See online at https://doi.org/10.7554/eLife.24350)
• (2017). Deciphering the molecular architecture of membrane contact sites by cryo-electron tomography. Biochimica et biophysica acta
  Collado, J., and Fernandez-Busnadiego, R.
  (See online at https://doi.org/10.1016/j.bbamcr.2017.03.009)
• (2017). Effects of stochasticity and division of labor in toxin production on two-strain bacterial competition in Escherichia coli. PLoS biology 15, e2001457
  von Bronk, B., Schaffer, S.A., Gotz, A., and Opitz, M.
  (See online at https://doi.org/10.1371/journal.pbio.2001457)
• (2017). Efficient parameterization of large-scale mechanistic models enables drug response prediction for cancer cell lines. bioRxiv, 174094
  Froehlich, F., Kessler, T., Weindl, D., Shadrin, A., Schmiester, L., Hache, H., Muradyan, A., Schuette, M., Lim, J.-H., Heinig, M., et al.
  (See online at https://doi.org/10.1101/174094)
• (2017). Emergence of life from trapped nucleotides? Non-equilibrium behavior of oligonucleotides in thermal gradients. Synlett 28, 56-63
  Agerschou, E.D., Mast, C.B., Braun, D.
  (See online at https://doi.org/10.1055/s-0036-1588653)
• (2017). Exploiting ecology in drug pulse sequences in favour of population reduction. Plos Comput Biol 13, e1005747
  Bauer, M., Graf, I.R., Ngampruetikorn, V., Stephens, G.J., and Frey, E.
  (See online at https://doi.org/10.1371/journal.pcbi.1005747)
• (2017). Fast, background-free DNA-PAINT imaging using FRET-based probes. Nano letters 17, 6428-6434
  Auer, A., Strauss, M.T., Schlichthaerle, T., and Jungmann, R.
  (See online at https://doi.org/10.1021/acs.nanolett.7b03425)
• (2017). Generic transport mechanisms for molecular traffic in cellular protrusions. Phys Rev Lett 118, 128101
  Graf, I.R., and Frey, E.
  (See online at https://doi.org/10.1103/PhysRevLett.118.128101)
• (2017). Genetic diagnosis of Mendelian disorders via RNA sequencing. Nat Commun 8, 15824
  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.
  (See online at https://doi.org/10.1038/ncomms15824)
• (2017). GenoGAM: genome-wide generalized additive models for ChIP-Seq analysis. Bioinformatics, btx150
  Stricker, G., Engelhardt, A., Schulz, D., Schmid, M., Tresch, A., and Gagneur, J.
  (See online at https://doi.org/10.1093/bioinformatics/btx150)
• (2017). GenSSI 2.0: Multi-experiment structural identifiability analysis of SBML models. Bioinformatics
  Ligon, T.S., Fröhlich, F., Chi, O.T., Banga, J.R., Balsa-Canto, E., and Hasenauer, J.
  (See online at https://doi.org/10.1093/bioinformatics/btx735)
• (2017). High-speed AFM reveals the inner workings of the MinDE protein oscillator. Nano letters
  Miyagi, A., Ramm, B., Schwille, P., and Scheuring, S.
  (See online at https://doi.org/10.1021/acs.nanolett.7b04128)
• (2017). Identification of a plasma miRNA biomarker signature for allergic asthma: A translational approach. Allergy 72, 1962-1971
  Milger, K., Gotschke, J., Krause, L., Nathan, P., Alessandrini, F., Tufman, A., Fischer, R., Bartel, S., Theis, F.J., Behr, J., et al.
  (See online at https://doi.org/10.1111/all.13205)
• (2017). In Situ Architecture and Cellular Interactions of PolyQ Inclusions. Cell 171, 179-187 e110
  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.
  (See online at https://doi.org/10.1016/j.cell.2017.08.009)
• (2017). Large-scale modulation of reconstituted Min protein patterns and gradients by defined mutations in MinE’s membrane targeting sequence. PloS one 12, e0179582
  Kretschmer, S., Zieske, K., and Schwille, P.
  (See online at https://doi.org/10.1371/journal.pone.0179582)
• (2017). Matrix composition determines the dimensions of Bacillus subtilis NCIB 3610 biofilm colonies grown on LB agar. RSC Advances 7, 31886-31898
  Kesel, S., von Bronk, B., Falcon Garcia, C., Gotz, A., Lieleg, O., and Opitz, M.
  (See online at https://doi.org/10.1039/c7ra05559e)
• (2017). Mechanistic hierarchical population model identifies latent causes of cell-to-cell variability. bioRxiv, 171561
  Loos, C., Moeller, K., Fröhlich, F., Hucho, T., and Hasenauer, J.
  (See online at https://doi.org/10.1101/171561)
• (2017). Microfluidic self-assembly of folate-targeted monomolecular siRNA-lipid nanoparticles. Nanoscale 9, 7442- 7453
  Krzyszton, R., Salem, B., Lee, D.J., Schwake, G., Wagner, E., Rädler, J.O.
  (See online at https://doi.org/10.1039/c7nr01593c)
• (2017). Model-based branching point detection in single-cell data by K-Branches clustering. Bioinformatics
  Chlis, N.K., Alexander Wolf, F., and Theis, F.J.
  (See online at https://doi.org/10.1093/bioinformatics/btx325)
• (2017). Modeling positional effects of regulatory sequences with spline transformations increases prediction accuracy of deep neural networks. Bioinformatics
  Avsec, Z., Barekatain, M., Cheng, J., Gagneur, J.
  (See online at https://doi.org/10.1093/bioinformatics/btx727)
• (2017). Multireference spectral library yields almost complete coverage of heterogeneous LC-MS/MS data sets. bioRxiv, 180448
  Ammar, C., Berchtold, E., Csaba, G., Schmidt, A., Imhof, A., and Zimmer, R.
  (See online at https://doi.org/10.1021/acs.jproteome.8b00819)
• (2017). Optimal compartmentalization strategies for metabolic microcompartments. Biophys J 112, 767 – 779
  Hinzpeter, F., Gerland, U., Tostevin, F.
  (See online at https://doi.org/10.1016/j.bpj.2016.11.3194)
• (2017). Organs on chip approach: a tool to evaluate cancer-immune cells interactions. Sci Rep-Uk 7, 12737
  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.
  (See online at https://doi.org/10.1038/s41598-017-13070-3)
• (2017). PESTO: Parameter EStimation TOolbox. Bioinformatics
  Stapor, P., Weindl, D., Ballnus, B., Hug, S., Loos, C., Fiedler, A., Krause, S., Hroß, S., Fröhlich, F., and Hasenauer, J.
  (See online at https://doi.org/10.1093/bioinformatics/btx676)
• (2017). Probing the cooperativity of binding networks with high-throughput thermophoresis. Analytical Chemistry 89 (4), 2592-2597
  Greiss, F., Kriegel, F., Braun, D.
  (See online at https://doi.org/10.1021/acs.analchem.6b04861)
• (2017). Scalable Inference of Ordinary Differential Equation Models of Biochemical Processes. arXiv preprint arXiv:171108079
  Fröhlich, F., Loos, C., and Hasenauer, J.
  (See online at https://doi.org/10.1007/978-1-4939-8882-2_16)
• (2017). Scalable parameter estimation for genome-scale biochemical reaction networks. Plos Comput Biol 13(1): e1005331
  Fröhlich, F., Kaltenbacher, B, Theis, F.J., Hasenauer, J.
  (See online at https://doi.org/10.1371/journal.pcbi.1005331)
• (2017). Sen1 has unique structural features grafted on the architecture of the Upf1-like helicase family. The EMBO journal 36, 1590-1604
  Leonaite, B., Han, Z., Basquin, J., Bonneau, F., Libri, D., Porrua, O., and Conti, E.
  (See online at https://doi.org/10.15252/embj.201696174)
• (2017). Single cells make big data: New challenges and opportunities in transcriptomics. Current Opinion in Systems Biology 4, 85-91
  Angerer, P., Simon, L., Tritschler, S., Wolf, F.A., Fischer, D., and Theis, F.J.
  (See online at https://doi.org/10.1016/j.coisb.2017.07.004)
• (2017). SIRPalpha-antibody fusion proteins stimulate phagocytosis and promote elimination of acute myeloid leukemia cells. Oncotarget 8, 11284-11301
  Ponce, L.P., Fenn, N.C., Moritz, N., Krupka, C., Kozik, J.H., Lauber, K., Subklewe, M., and Hopfner, K.P.
  (See online at https://doi.org/10.18632/oncotarget.14500)
• (2017). Spt5 Plays Vital Roles in the Control of Sense and Antisense Transcription Elongation. Molecular cell 66, 77-88 e75
  Shetty, A., Kallgren, S.P., Demel, C., Maier, K.C., Spatt, D., Alver, B.H., Cramer, P., Park, P.J., and Winston, F.
  (See online at https://doi.org/10.1016/j.molcel.2017.02.023)
• (2017). Super-resolution microscopy with DNA-PAINT. Nature protocols 12, 1198-1228
  Schnitzbauer, J., Strauss, M.T., Schlichthaerle, T., Schueder, F., and Jungmann, R.
  (See online at https://doi.org/10.1038/nprot.2017.024)
• (2017). Systematic single-cell analysis provides new insights into heterogeneity and plasticity of the pancreas. Molecular metabolism 6, 974-990
  Tritschler, S., Theis, F.J., Lickert, H., and Böttcher, A.
  (See online at https://doi.org/10.1016/j.molmet.2017.06.021)
• (2017). The Drosophila Dosage Compensation Complex activates target genes by chromosome looping within the active compartment. bioRxiv.
  Schauer, T., Ghavi-Helm, Y., Sexton, T., Albig, C., Regnard, C., Cavalli, G., Furlong, E.E.M., and Becker, P.B.
  (See online at https://doi.org/10.1101/101634)
• (2017). The Drosophila speciation factor HMR localizes to genomic insulator sites. PloS one 12, e0171798
  Gerland, T.A., Sun, B., Smialowski, P., Lukacs, A., Thomae, A.W., and Imhof, A.
  (See online at https://doi.org/10.1371/journal.pone.0171798)
• (2017). The force-sensing peptide VemP employs extreme compaction and secondary structure formation to induce ribosomal stalling. eLife 6
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