[{"publisher":"Rockefeller University Press","quality_controlled":"1","oa":1,"has_accepted_license":"1","isi":1,"year":"2019","day":"03","publication":"The Journal of General Physiology","page":"1035-1050","doi":"10.1085/jgp.201912318","date_published":"2019-07-03T00:00:00Z","date_created":"2020-01-29T16:06:29Z","citation":{"ista":"Erdem FA, Ilic M, Koppensteiner P, Gołacki J, Lubec G, Freissmuth M, Sandtner W. 2019. A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2. The Journal of General Physiology. 151(8), 1035–1050.","chicago":"Erdem, Fatma Asli, Marija Ilic, Peter Koppensteiner, Jakub Gołacki, Gert Lubec, Michael Freissmuth, and Walter Sandtner. “A Comparison of the Transport Kinetics of Glycine Transporter 1 and Glycine Transporter 2.” The Journal of General Physiology. Rockefeller University Press, 2019. https://doi.org/10.1085/jgp.201912318.","short":"F.A. Erdem, M. Ilic, P. Koppensteiner, J. Gołacki, G. Lubec, M. Freissmuth, W. Sandtner, The Journal of General Physiology 151 (2019) 1035–1050.","ieee":"F. A. Erdem et al., “A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2,” The Journal of General Physiology, vol. 151, no. 8. Rockefeller University Press, pp. 1035–1050, 2019.","ama":"Erdem FA, Ilic M, Koppensteiner P, et al. A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2. The Journal of General Physiology. 2019;151(8):1035-1050. doi:10.1085/jgp.201912318","apa":"Erdem, F. A., Ilic, M., Koppensteiner, P., Gołacki, J., Lubec, G., Freissmuth, M., & Sandtner, W. (2019). A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2. The Journal of General Physiology. Rockefeller University Press. https://doi.org/10.1085/jgp.201912318","mla":"Erdem, Fatma Asli, et al. “A Comparison of the Transport Kinetics of Glycine Transporter 1 and Glycine Transporter 2.” The Journal of General Physiology, vol. 151, no. 8, Rockefeller University Press, 2019, pp. 1035–50, doi:10.1085/jgp.201912318."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","author":[{"first_name":"Fatma Asli","last_name":"Erdem","full_name":"Erdem, Fatma Asli"},{"first_name":"Marija","last_name":"Ilic","full_name":"Ilic, Marija"},{"first_name":"Peter","id":"3B8B25A8-F248-11E8-B48F-1D18A9856A87","full_name":"Koppensteiner, Peter","orcid":"0000-0002-3509-1948","last_name":"Koppensteiner"},{"last_name":"Gołacki","full_name":"Gołacki, Jakub","first_name":"Jakub"},{"first_name":"Gert","full_name":"Lubec, Gert","last_name":"Lubec"},{"first_name":"Michael","full_name":"Freissmuth, Michael","last_name":"Freissmuth"},{"full_name":"Sandtner, Walter","last_name":"Sandtner","first_name":"Walter"}],"article_processing_charge":"No","external_id":{"isi":["000478792500008"],"pmid":["31270129"]},"title":"A comparison of the transport kinetics of glycine transporter 1 and glycine transporter 2","abstract":[{"lang":"eng","text":"Transporters of the solute carrier 6 (SLC6) family translocate their cognate substrate together with Na+ and Cl−. Detailed kinetic models exist for the transporters of GABA (GAT1/SLC6A1) and the monoamines dopamine (DAT/SLC6A3) and serotonin (SERT/SLC6A4). Here, we posited that the transport cycle of individual SLC6 transporters reflects the physiological requirements they operate under. We tested this hypothesis by analyzing the transport cycle of glycine transporter 1 (GlyT1/SLC6A9) and glycine transporter 2 (GlyT2/SLC6A5). GlyT2 is the only SLC6 family member known to translocate glycine, Na+, and Cl− in a 1:3:1 stoichiometry. We analyzed partial reactions in real time by electrophysiological recordings. Contrary to monoamine transporters, both GlyTs were found to have a high transport capacity driven by rapid return of the empty transporter after release of Cl− on the intracellular side. Rapid cycling of both GlyTs was further supported by highly cooperative binding of cosubstrate ions and substrate such that their forward transport mode was maintained even under conditions of elevated intracellular Na+ or Cl−. The most important differences in the transport cycle of GlyT1 and GlyT2 arose from the kinetics of charge movement and the resulting voltage-dependent rate-limiting reactions: the kinetics of GlyT1 were governed by transition of the substrate-bound transporter from outward- to inward-facing conformations, whereas the kinetics of GlyT2 were governed by Na+ binding (or a related conformational change). Kinetic modeling showed that the kinetics of GlyT1 are ideally suited for supplying the extracellular glycine levels required for NMDA receptor activation."}],"oa_version":"Published Version","pmid":1,"scopus_import":"1","month":"07","intvolume":" 151","publication_identifier":{"eissn":["1540-7748"],"issn":["0022-1295"]},"publication_status":"published","file":[{"content_type":"application/pdf","relation":"main_file","access_level":"open_access","checksum":"5706b4ccd74ee3e50bf7ecb2a203df71","file_id":"7450","file_size":2641297,"date_updated":"2020-07-14T12:47:57Z","creator":"dernst","file_name":"2019_JGP_Erdem.pdf","date_created":"2020-02-05T07:20:32Z"}],"language":[{"iso":"eng"}],"volume":151,"issue":"8","_id":"7398","article_type":"original","type":"journal_article","tmp":{"name":"Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)","image":"/images/cc_by_nc_sa.png","legal_code_url":"https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode","short":"CC BY-NC-SA (4.0)"},"status":"public","date_updated":"2023-09-07T14:52:23Z","ddc":["570"],"department":[{"_id":"RySh"}],"file_date_updated":"2020-07-14T12:47:57Z"},{"project":[{"_id":"2590DB08-B435-11E9-9278-68D0E5697425","call_identifier":"H2020","name":"Atomic-Resolution Structures of Mitochondrial Respiratory Chain Supercomplexes","grant_number":"701309"}],"citation":{"chicago":"Letts, James A, Karol Fiedorczuk, Gianluca Degliesposti, Mark Skehel, and Leonid A Sazanov. “Structures of Respiratory Supercomplex I+III2 Reveal Functional and Conformational Crosstalk.” Molecular Cell. Cell Press, 2019. https://doi.org/10.1016/j.molcel.2019.07.022.","ista":"Letts JA, Fiedorczuk K, Degliesposti G, Skehel M, Sazanov LA. 2019. Structures of respiratory supercomplex I+III2 reveal functional and conformational crosstalk. Molecular Cell. 75(6), 1131–1146.e6.","mla":"Letts, James A., et al. “Structures of Respiratory Supercomplex I+III2 Reveal Functional and Conformational Crosstalk.” Molecular Cell, vol. 75, no. 6, Cell Press, 2019, p. 1131–1146.e6, doi:10.1016/j.molcel.2019.07.022.","ieee":"J. A. Letts, K. Fiedorczuk, G. Degliesposti, M. Skehel, and L. A. Sazanov, “Structures of respiratory supercomplex I+III2 reveal functional and conformational crosstalk,” Molecular Cell, vol. 75, no. 6. Cell Press, p. 1131–1146.e6, 2019.","short":"J.A. Letts, K. Fiedorczuk, G. Degliesposti, M. Skehel, L.A. Sazanov, Molecular Cell 75 (2019) 1131–1146.e6.","ama":"Letts JA, Fiedorczuk K, Degliesposti G, Skehel M, Sazanov LA. Structures of respiratory supercomplex I+III2 reveal functional and conformational crosstalk. Molecular Cell. 2019;75(6):1131-1146.e6. doi:10.1016/j.molcel.2019.07.022","apa":"Letts, J. A., Fiedorczuk, K., Degliesposti, G., Skehel, M., & Sazanov, L. A. (2019). Structures of respiratory supercomplex I+III2 reveal functional and conformational crosstalk. Molecular Cell. Cell Press. https://doi.org/10.1016/j.molcel.2019.07.022"},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","author":[{"first_name":"James A","id":"322DA418-F248-11E8-B48F-1D18A9856A87","full_name":"Letts, James A","orcid":"0000-0002-9864-3586","last_name":"Letts"},{"id":"5BFF67CE-02D1-11E9-B11A-A5A4D7DFFFD0","first_name":"Karol","last_name":"Fiedorczuk","full_name":"Fiedorczuk, Karol"},{"first_name":"Gianluca","full_name":"Degliesposti, Gianluca","last_name":"Degliesposti"},{"full_name":"Skehel, Mark","last_name":"Skehel","first_name":"Mark"},{"last_name":"Sazanov","full_name":"Sazanov, Leonid A","orcid":"0000-0002-0977-7989","first_name":"Leonid A","id":"338D39FE-F248-11E8-B48F-1D18A9856A87"}],"external_id":{"pmid":["31492636"],"isi":["000486614200006"]},"article_processing_charge":"No","title":"Structures of respiratory supercomplex I+III2 reveal functional and conformational crosstalk","quality_controlled":"1","publisher":"Cell Press","oa":1,"has_accepted_license":"1","isi":1,"year":"2019","day":"19","publication":"Molecular Cell","page":"1131-1146.e6","doi":"10.1016/j.molcel.2019.07.022","date_published":"2019-09-19T00:00:00Z","date_created":"2020-01-29T16:02:33Z","_id":"7395","article_type":"original","type":"journal_article","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"status":"public","date_updated":"2023-09-07T14:53:06Z","ddc":["570"],"file_date_updated":"2020-07-14T12:47:57Z","department":[{"_id":"LeSa"}],"abstract":[{"lang":"eng","text":"The mitochondrial electron transport chain complexes are organized into supercomplexes (SCs) of defined stoichiometry, which have been proposed to regulate electron flux via substrate channeling. We demonstrate that CoQ trapping in the isolated SC I+III2 limits complex (C)I turnover, arguing against channeling. The SC structure, resolved at up to 3.8 Å in four distinct states, suggests that CoQ oxidation may be rate limiting because of unequal access of CoQ to the active sites of CIII2. CI shows a transition between “closed” and “open” conformations, accompanied by the striking rotation of a key transmembrane helix. Furthermore, the state of CI affects the conformational flexibility within CIII2, demonstrating crosstalk between the enzymes. CoQ was identified at only three of the four binding sites in CIII2, suggesting that interaction with CI disrupts CIII2 symmetry in a functionally relevant manner. Together, these observations indicate a more nuanced functional role for the SCs."}],"oa_version":"Published Version","pmid":1,"scopus_import":"1","month":"09","intvolume":" 75","publication_identifier":{"issn":["1097-2765"]},"publication_status":"published","file":[{"creator":"dernst","date_updated":"2020-07-14T12:47:57Z","file_size":9654895,"date_created":"2020-02-04T10:37:28Z","file_name":"2019_MolecularCell_Letts.pdf","access_level":"open_access","relation":"main_file","content_type":"application/pdf","file_id":"7447","checksum":"5202f53a237d6650ece038fbf13bdcea"}],"language":[{"iso":"eng"}],"volume":75,"issue":"6","ec_funded":1},{"publication_status":"published","publication_identifier":{"issn":["2050-084X"]},"language":[{"iso":"eng"}],"file":[{"relation":"main_file","access_level":"open_access","content_type":"application/pdf","checksum":"7014189c11c10a12feeeae37f054871d","file_id":"7444","creator":"dernst","file_size":6182359,"date_updated":"2020-07-14T12:47:57Z","file_name":"2019_eLife_DuraBernal.pdf","date_created":"2020-02-04T08:41:47Z"}],"volume":8,"abstract":[{"lang":"eng","text":"Biophysical modeling of neuronal networks helps to integrate and interpret rapidly growing and disparate experimental datasets at multiple scales. The NetPyNE tool (www.netpyne.org) provides both programmatic and graphical interfaces to develop data-driven multiscale network models in NEURON. NetPyNE clearly separates model parameters from implementation code. Users provide specifications at a high level via a standardized declarative language, for example connectivity rules, to create millions of cell-to-cell connections. NetPyNE then enables users to generate the NEURON network, run efficiently parallelized simulations, optimize and explore network parameters through automated batch runs, and use built-in functions for visualization and analysis – connectivity matrices, voltage traces, spike raster plots, local field potentials, and information theoretic measures. NetPyNE also facilitates model sharing by exporting and importing standardized formats (NeuroML and SONATA). NetPyNE is already being used to teach computational neuroscience students and by modelers to investigate brain regions and phenomena."}],"pmid":1,"oa_version":"Published Version","scopus_import":"1","intvolume":" 8","month":"05","date_updated":"2023-09-07T14:27:52Z","ddc":["570"],"file_date_updated":"2020-07-14T12:47:57Z","department":[{"_id":"PeJo"}],"_id":"7405","tmp":{"legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","short":"CC BY (4.0)"},"article_type":"original","type":"journal_article","status":"public","year":"2019","has_accepted_license":"1","isi":1,"publication":"eLife","day":"31","date_created":"2020-01-30T09:08:01Z","date_published":"2019-05-31T00:00:00Z","doi":"10.7554/elife.44494","oa":1,"quality_controlled":"1","publisher":"eLife Sciences Publications","citation":{"mla":"Dura-Bernal, Salvador, et al. “NetPyNE, a Tool for Data-Driven Multiscale Modeling of Brain Circuits.” ELife, vol. 8, e44494, eLife Sciences Publications, 2019, doi:10.7554/elife.44494.","ieee":"S. Dura-Bernal et al., “NetPyNE, a tool for data-driven multiscale modeling of brain circuits,” eLife, vol. 8. eLife Sciences Publications, 2019.","short":"S. Dura-Bernal, B. Suter, P. Gleeson, M. Cantarelli, A. Quintana, F. Rodriguez, D.J. Kedziora, G.L. Chadderdon, C.C. Kerr, S.A. Neymotin, R.A. McDougal, M. Hines, G.M. Shepherd, W.W. Lytton, ELife 8 (2019).","apa":"Dura-Bernal, S., Suter, B., Gleeson, P., Cantarelli, M., Quintana, A., Rodriguez, F., … Lytton, W. W. (2019). NetPyNE, a tool for data-driven multiscale modeling of brain circuits. ELife. eLife Sciences Publications. https://doi.org/10.7554/elife.44494","ama":"Dura-Bernal S, Suter B, Gleeson P, et al. NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 2019;8. doi:10.7554/elife.44494","chicago":"Dura-Bernal, Salvador, Benjamin Suter, Padraig Gleeson, Matteo Cantarelli, Adrian Quintana, Facundo Rodriguez, David J Kedziora, et al. “NetPyNE, a Tool for Data-Driven Multiscale Modeling of Brain Circuits.” ELife. eLife Sciences Publications, 2019. https://doi.org/10.7554/elife.44494.","ista":"Dura-Bernal S, Suter B, Gleeson P, Cantarelli M, Quintana A, Rodriguez F, Kedziora DJ, Chadderdon GL, Kerr CC, Neymotin SA, McDougal RA, Hines M, Shepherd GM, Lytton WW. 2019. NetPyNE, a tool for data-driven multiscale modeling of brain circuits. eLife. 8, e44494."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","external_id":{"pmid":["31025934"],"isi":["000468968400001"]},"article_processing_charge":"No","author":[{"first_name":"Salvador","last_name":"Dura-Bernal","full_name":"Dura-Bernal, Salvador"},{"full_name":"Suter, Benjamin","orcid":"0000-0002-9885-6936","last_name":"Suter","id":"4952F31E-F248-11E8-B48F-1D18A9856A87","first_name":"Benjamin"},{"full_name":"Gleeson, Padraig","last_name":"Gleeson","first_name":"Padraig"},{"last_name":"Cantarelli","full_name":"Cantarelli, Matteo","first_name":"Matteo"},{"full_name":"Quintana, Adrian","last_name":"Quintana","first_name":"Adrian"},{"first_name":"Facundo","full_name":"Rodriguez, Facundo","last_name":"Rodriguez"},{"full_name":"Kedziora, David J","last_name":"Kedziora","first_name":"David J"},{"first_name":"George L","full_name":"Chadderdon, George L","last_name":"Chadderdon"},{"first_name":"Cliff C","last_name":"Kerr","full_name":"Kerr, Cliff C"},{"full_name":"Neymotin, Samuel A","last_name":"Neymotin","first_name":"Samuel A"},{"first_name":"Robert A","full_name":"McDougal, Robert A","last_name":"McDougal"},{"full_name":"Hines, Michael","last_name":"Hines","first_name":"Michael"},{"full_name":"Shepherd, Gordon MG","last_name":"Shepherd","first_name":"Gordon MG"},{"full_name":"Lytton, William W","last_name":"Lytton","first_name":"William W"}],"title":"NetPyNE, a tool for data-driven multiscale modeling of brain circuits","article_number":"e44494"},{"external_id":{"pmid":["31113811"],"isi":["000474809300015"]},"article_processing_charge":"No","author":[{"first_name":"Paris","last_name":"Veltsos","full_name":"Veltsos, Paris"},{"last_name":"Ridout","full_name":"Ridout, Kate E.","first_name":"Kate E."},{"last_name":"Toups","full_name":"Toups, Melissa A","orcid":"0000-0002-9752-7380","first_name":"Melissa A","id":"4E099E4E-F248-11E8-B48F-1D18A9856A87"},{"full_name":"González-Martínez, Santiago C.","last_name":"González-Martínez","first_name":"Santiago C."},{"first_name":"Aline","full_name":"Muyle, Aline","last_name":"Muyle"},{"first_name":"Olivier","full_name":"Emery, Olivier","last_name":"Emery"},{"first_name":"Pasi","last_name":"Rastas","full_name":"Rastas, Pasi"},{"last_name":"Hudzieczek","full_name":"Hudzieczek, Vojtech","first_name":"Vojtech"},{"last_name":"Hobza","full_name":"Hobza, Roman","first_name":"Roman"},{"first_name":"Boris","full_name":"Vyskot, Boris","last_name":"Vyskot"},{"first_name":"Gabriel A. B.","full_name":"Marais, Gabriel A. B.","last_name":"Marais"},{"full_name":"Filatov, Dmitry A.","last_name":"Filatov","first_name":"Dmitry A."},{"full_name":"Pannell, John R.","last_name":"Pannell","first_name":"John R."}],"title":"Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua","citation":{"ama":"Veltsos P, Ridout KE, Toups MA, et al. Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua. Genetics. 2019;212(3):815-835. doi:10.1534/genetics.119.302045","apa":"Veltsos, P., Ridout, K. E., Toups, M. A., González-Martínez, S. C., Muyle, A., Emery, O., … Pannell, J. R. (2019). Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.119.302045","short":"P. Veltsos, K.E. Ridout, M.A. Toups, S.C. González-Martínez, A. Muyle, O. Emery, P. Rastas, V. Hudzieczek, R. Hobza, B. Vyskot, G.A.B. Marais, D.A. Filatov, J.R. Pannell, Genetics 212 (2019) 815–835.","ieee":"P. Veltsos et al., “Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua,” Genetics, vol. 212, no. 3. Genetics Society of America, pp. 815–835, 2019.","mla":"Veltsos, Paris, et al. “Early Sex-Chromosome Evolution in the Diploid Dioecious Plant Mercurialis Annua.” Genetics, vol. 212, no. 3, Genetics Society of America, 2019, pp. 815–35, doi:10.1534/genetics.119.302045.","ista":"Veltsos P, Ridout KE, Toups MA, González-Martínez SC, Muyle A, Emery O, Rastas P, Hudzieczek V, Hobza R, Vyskot B, Marais GAB, Filatov DA, Pannell JR. 2019. Early sex-chromosome evolution in the diploid dioecious plant Mercurialis annua. Genetics. 212(3), 815–835.","chicago":"Veltsos, Paris, Kate E. Ridout, Melissa A Toups, Santiago C. González-Martínez, Aline Muyle, Olivier Emery, Pasi Rastas, et al. “Early Sex-Chromosome Evolution in the Diploid Dioecious Plant Mercurialis Annua.” Genetics. Genetics Society of America, 2019. https://doi.org/10.1534/genetics.119.302045."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","project":[{"grant_number":"715257","name":"Prevalence and Influence of Sexual Antagonism on Genome Evolution","call_identifier":"H2020","_id":"250BDE62-B435-11E9-9278-68D0E5697425"}],"page":"815-835","date_created":"2020-01-29T16:15:44Z","doi":"10.1534/genetics.119.302045","date_published":"2019-07-01T00:00:00Z","year":"2019","isi":1,"publication":"Genetics","day":"01","oa":1,"publisher":"Genetics Society of America","quality_controlled":"1","department":[{"_id":"BeVi"}],"date_updated":"2023-09-07T14:49:29Z","article_type":"original","type":"journal_article","status":"public","_id":"7400","ec_funded":1,"issue":"3","volume":212,"publication_status":"published","publication_identifier":{"eissn":["1943-2631"],"issn":["0016-6731"]},"language":[{"iso":"eng"}],"main_file_link":[{"url":"https://doi.org/10.1534/genetics.119.302045","open_access":"1"}],"scopus_import":"1","intvolume":" 212","month":"07","abstract":[{"lang":"eng","text":"Suppressed recombination allows divergence between homologous sex chromosomes and the functionality of their genes. Here, we reveal patterns of the earliest stages of sex-chromosome evolution in the diploid dioecious herb Mercurialis annua on the basis of cytological analysis, de novo genome assembly and annotation, genetic mapping, exome resequencing of natural populations, and transcriptome analysis. The genome assembly contained 34,105 expressed genes, of which 10,076 were assigned to linkage groups. Genetic mapping and exome resequencing of individuals across the species range both identified the largest linkage group, LG1, as the sex chromosome. Although the sex chromosomes of M. annua are karyotypically homomorphic, we estimate that about one-third of the Y chromosome, containing 568 transcripts and spanning 22.3 cM in the corresponding female map, has ceased recombining. Nevertheless, we found limited evidence for Y-chromosome degeneration in terms of gene loss and pseudogenization, and most X- and Y-linked genes appear to have diverged in the period subsequent to speciation between M. annua and its sister species M. huetii, which shares the same sex-determining region. Taken together, our results suggest that the M. annua Y chromosome has at least two evolutionary strata: a small old stratum shared with M. huetii, and a more recent larger stratum that is probably unique to M. annua and that stopped recombining ∼1 MYA. Patterns of gene expression within the nonrecombining region are consistent with the idea that sexually antagonistic selection may have played a role in favoring suppressed recombination."}],"oa_version":"Published Version","pmid":1},{"article_number":"dev171397","citation":{"short":"T. Stürner, A. Tatarnikova, J. Müller, B. Schaffran, H. Cuntz, Y. Zhang, M. Nemethova, S. Bogdan, V. Small, G. Tavosanis, Development 146 (2019).","ieee":"T. Stürner et al., “Transient localization of the Arp2/3 complex initiates neuronal dendrite branching in vivo,” Development, vol. 146, no. 7. The Company of Biologists, 2019.","ama":"Stürner T, Tatarnikova A, Müller J, et al. Transient localization of the Arp2/3 complex initiates neuronal dendrite branching in vivo. Development. 2019;146(7). doi:10.1242/dev.171397","apa":"Stürner, T., Tatarnikova, A., Müller, J., Schaffran, B., Cuntz, H., Zhang, Y., … Tavosanis, G. (2019). Transient localization of the Arp2/3 complex initiates neuronal dendrite branching in vivo. Development. The Company of Biologists. https://doi.org/10.1242/dev.171397","mla":"Stürner, Tomke, et al. “Transient Localization of the Arp2/3 Complex Initiates Neuronal Dendrite Branching in Vivo.” Development, vol. 146, no. 7, dev171397, The Company of Biologists, 2019, doi:10.1242/dev.171397.","ista":"Stürner T, Tatarnikova A, Müller J, Schaffran B, Cuntz H, Zhang Y, Nemethova M, Bogdan S, Small V, Tavosanis G. 2019. Transient localization of the Arp2/3 complex initiates neuronal dendrite branching in vivo. Development. 146(7), dev171397.","chicago":"Stürner, Tomke, Anastasia Tatarnikova, Jan Müller, Barbara Schaffran, Hermann Cuntz, Yun Zhang, Maria Nemethova, Sven Bogdan, Vic Small, and Gaia Tavosanis. “Transient Localization of the Arp2/3 Complex Initiates Neuronal Dendrite Branching in Vivo.” Development. The Company of Biologists, 2019. https://doi.org/10.1242/dev.171397."},"user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","external_id":{"isi":["000464583200006"],"pmid":["30910826"]},"article_processing_charge":"No","author":[{"first_name":"Tomke","last_name":"Stürner","full_name":"Stürner, Tomke"},{"first_name":"Anastasia","full_name":"Tatarnikova, Anastasia","last_name":"Tatarnikova"},{"id":"AD07FDB4-0F61-11EA-8158-C4CC64CEAA8D","first_name":"Jan","full_name":"Müller, Jan","last_name":"Müller"},{"last_name":"Schaffran","full_name":"Schaffran, Barbara","first_name":"Barbara"},{"last_name":"Cuntz","full_name":"Cuntz, Hermann","first_name":"Hermann"},{"first_name":"Yun","full_name":"Zhang, Yun","last_name":"Zhang"},{"last_name":"Nemethova","full_name":"Nemethova, Maria","id":"34E27F1C-F248-11E8-B48F-1D18A9856A87","first_name":"Maria"},{"first_name":"Sven","full_name":"Bogdan, Sven","last_name":"Bogdan"},{"first_name":"Vic","last_name":"Small","full_name":"Small, Vic"},{"full_name":"Tavosanis, Gaia","last_name":"Tavosanis","first_name":"Gaia"}],"title":"Transient localization of the Arp2/3 complex initiates neuronal dendrite branching in vivo","oa":1,"publisher":"The Company of Biologists","quality_controlled":"1","year":"2019","isi":1,"publication":"Development","day":"04","date_created":"2020-01-29T16:27:10Z","date_published":"2019-04-04T00:00:00Z","doi":"10.1242/dev.171397","_id":"7404","type":"journal_article","article_type":"original","status":"public","date_updated":"2023-09-07T14:47:00Z","department":[{"_id":"MiSi"}],"abstract":[{"lang":"eng","text":"The formation of neuronal dendrite branches is fundamental for the wiring and function of the nervous system. Indeed, dendrite branching enhances the coverage of the neuron's receptive field and modulates the initial processing of incoming stimuli. Complex dendrite patterns are achieved in vivo through a dynamic process of de novo branch formation, branch extension and retraction. The first step towards branch formation is the generation of a dynamic filopodium-like branchlet. The mechanisms underlying the initiation of dendrite branchlets are therefore crucial to the shaping of dendrites. Through in vivo time-lapse imaging of the subcellular localization of actin during the process of branching of Drosophila larva sensory neurons, combined with genetic analysis and electron tomography, we have identified the Actin-related protein (Arp) 2/3 complex as the major actin nucleator involved in the initiation of dendrite branchlet formation, under the control of the activator WAVE and of the small GTPase Rac1. Transient recruitment of an Arp2/3 component marks the site of branchlet initiation in vivo. These data position the activation of Arp2/3 as an early hub for the initiation of branchlet formation."}],"oa_version":"Published Version","pmid":1,"main_file_link":[{"url":"https://doi.org/10.1242/dev.171397","open_access":"1"}],"scopus_import":"1","intvolume":" 146","month":"04","publication_status":"published","publication_identifier":{"eissn":["1477-9129"],"issn":["0950-1991"]},"language":[{"iso":"eng"}],"volume":146,"issue":"7"}]