[{"scopus_import":"1","day":"21","has_accepted_license":"1","article_processing_charge":"No","publication":"eLife","citation":{"ama":"Henderson NT, Le Marchand SJ, Hruska M, Hippenmeyer S, Luo L, Dalva MB. Ephrin-B3 controls excitatory synapse density through cell-cell competition for EphBs. eLife. 2019;8. doi:10.7554/eLife.41563","apa":"Henderson, N. T., Le Marchand, S. J., Hruska, M., Hippenmeyer, S., Luo, L., & Dalva, M. B. (2019). Ephrin-B3 controls excitatory synapse density through cell-cell competition for EphBs. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.41563","ieee":"N. T. Henderson, S. J. Le Marchand, M. Hruska, S. Hippenmeyer, L. Luo, and M. B. Dalva, “Ephrin-B3 controls excitatory synapse density through cell-cell competition for EphBs,” eLife, vol. 8. eLife Sciences Publications, 2019.","ista":"Henderson NT, Le Marchand SJ, Hruska M, Hippenmeyer S, Luo L, Dalva MB. 2019. Ephrin-B3 controls excitatory synapse density through cell-cell competition for EphBs. eLife. 8, e41563.","short":"N.T. Henderson, S.J. Le Marchand, M. Hruska, S. Hippenmeyer, L. Luo, M.B. Dalva, ELife 8 (2019).","mla":"Henderson, Nathan T., et al. “Ephrin-B3 Controls Excitatory Synapse Density through Cell-Cell Competition for EphBs.” ELife, vol. 8, e41563, eLife Sciences Publications, 2019, doi:10.7554/eLife.41563.","chicago":"Henderson, Nathan T., Sylvain J. Le Marchand, Martin Hruska, Simon Hippenmeyer, Liqun Luo, and Matthew B. Dalva. “Ephrin-B3 Controls Excitatory Synapse Density through Cell-Cell Competition for EphBs.” ELife. eLife Sciences Publications, 2019. https://doi.org/10.7554/eLife.41563."},"date_published":"2019-02-21T00:00:00Z","type":"journal_article","abstract":[{"lang":"eng","text":"Cortical networks are characterized by sparse connectivity, with synapses found at only a subset of axo-dendritic contacts. Yet within these networks, neurons can exhibit high connection probabilities, suggesting that cell-intrinsic factors, not proximity, determine connectivity. Here, we identify ephrin-B3 (eB3) as a factor that determines synapse density by mediating a cell-cell competition that requires ephrin-B-EphB signaling. In a microisland culture system designed to isolate cell-cell competition, we find that eB3 determines winning and losing neurons in a contest for synapses. In a Mosaic Analysis with Double Markers (MADM) genetic mouse model system in vivo the relative levels of eB3 control spine density in layer 5 and 6 neurons. MADM cortical neurons in vitro reveal that eB3 controls synapse density independently of action potential-driven activity. Our findings illustrate a new class of competitive mechanism mediated by trans-synaptic organizing proteins which control the number of synapses neurons receive relative to neighboring neurons."}],"status":"public","ddc":["570"],"title":"Ephrin-B3 controls excitatory synapse density through cell-cell competition for EphBs","intvolume":" 8","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","_id":"6091","oa_version":"Published Version","file":[{"content_type":"application/pdf","file_size":7260753,"creator":"dernst","access_level":"open_access","file_name":"2019_eLife_Henderson.pdf","checksum":"7b0800d003f14cd06b1802dea0c52941","date_updated":"2020-07-14T12:47:19Z","date_created":"2019-03-11T16:15:37Z","relation":"main_file","file_id":"6098"}],"month":"02","quality_controlled":"1","isi":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"external_id":{"isi":["000459380600001"],"pmid":["30789343"]},"language":[{"iso":"eng"}],"doi":"10.7554/eLife.41563","article_number":"e41563","file_date_updated":"2020-07-14T12:47:19Z","publication_status":"published","department":[{"_id":"SiHi"}],"publisher":"eLife Sciences Publications","year":"2019","pmid":1,"date_created":"2019-03-10T22:59:20Z","date_updated":"2023-08-24T14:50:50Z","volume":8,"author":[{"first_name":"Nathan T.","last_name":"Henderson","full_name":"Henderson, Nathan T."},{"last_name":"Le Marchand","first_name":"Sylvain J.","full_name":"Le Marchand, Sylvain J."},{"full_name":"Hruska, Martin","first_name":"Martin","last_name":"Hruska"},{"full_name":"Hippenmeyer, Simon","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061","first_name":"Simon","last_name":"Hippenmeyer"},{"last_name":"Luo","first_name":"Liqun","full_name":"Luo, Liqun"},{"first_name":"Matthew B.","last_name":"Dalva","full_name":"Dalva, Matthew B."}]},{"ec_funded":1,"file_date_updated":"2020-07-14T12:47:42Z","volume":235,"date_created":"2019-09-02T11:57:28Z","date_updated":"2023-08-29T07:19:39Z","author":[{"first_name":"Noemi","last_name":"Picco","full_name":"Picco, Noemi"},{"first_name":"Simon","last_name":"Hippenmeyer","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon"},{"id":"3C70A038-F248-11E8-B48F-1D18A9856A87","first_name":"Julio","last_name":"Rodarte","full_name":"Rodarte, Julio"},{"id":"36BCB99C-F248-11E8-B48F-1D18A9856A87","first_name":"Carmen","last_name":"Streicher","full_name":"Streicher, Carmen"},{"full_name":"Molnár, Zoltán","first_name":"Zoltán","last_name":"Molnár"},{"full_name":"Maini, Philip K.","first_name":"Philip K.","last_name":"Maini"},{"full_name":"Woolley, Thomas E.","last_name":"Woolley","first_name":"Thomas E."}],"department":[{"_id":"SiHi"}],"publisher":"Wiley","publication_status":"published","year":"2019","publication_identifier":{"issn":["0021-8782"],"eissn":["1469-7580"]},"month":"09","language":[{"iso":"eng"}],"doi":"10.1111/joa.13001","project":[{"call_identifier":"H2020","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","_id":"260018B0-B435-11E9-9278-68D0E5697425","grant_number":"725780"}],"isi":1,"quality_controlled":"1","tmp":{"name":"Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc/4.0/legalcode","image":"/images/cc_by_nc.png","short":"CC BY-NC (4.0)"},"oa":1,"external_id":{"isi":["000482426800017"]},"issue":"3","abstract":[{"text":"Studying the progression of the proliferative and differentiative patterns of neural stem cells at the individual cell level is crucial to the understanding of cortex development and how the disruption of such patterns can lead to malformations and neurodevelopmental diseases. However, our understanding of the precise lineage progression programme at single-cell resolution is still incomplete due to the technical variations in lineage- tracing approaches. One of the key challenges involves developing a robust theoretical framework in which we can integrate experimental observations and introduce correction factors to obtain a reliable and representative description of the temporal modulation of proliferation and differentiation. In order to obtain more conclusive insights, we carry out virtual clonal analysis using mathematical modelling and compare our results against experimental data. Using a dataset obtained with Mosaic Analysis with Double Markers, we illustrate how the theoretical description can be exploited to interpret and reconcile the disparity between virtual and experimental results.","lang":"eng"}],"type":"journal_article","oa_version":"Published Version","file":[{"file_id":"6845","relation":"main_file","date_created":"2019-09-02T12:05:18Z","date_updated":"2020-07-14T12:47:42Z","checksum":"160f960844b204057f20896e0e1f8ee7","file_name":"2019_JournalAnatomy_Picco.pdf","access_level":"open_access","creator":"dernst","content_type":"application/pdf","file_size":1192994}],"intvolume":" 235","ddc":["570"],"title":"A mathematical insight into cell labelling experiments for clonal analysis","status":"public","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","_id":"6844","has_accepted_license":"1","article_processing_charge":"No","day":"01","scopus_import":"1","date_published":"2019-09-01T00:00:00Z","page":"686-696","article_type":"original","citation":{"apa":"Picco, N., Hippenmeyer, S., Rodarte, J., Streicher, C., Molnár, Z., Maini, P. K., & Woolley, T. E. (2019). A mathematical insight into cell labelling experiments for clonal analysis. Journal of Anatomy. Wiley. https://doi.org/10.1111/joa.13001","ieee":"N. Picco et al., “A mathematical insight into cell labelling experiments for clonal analysis,” Journal of Anatomy, vol. 235, no. 3. Wiley, pp. 686–696, 2019.","ista":"Picco N, Hippenmeyer S, Rodarte J, Streicher C, Molnár Z, Maini PK, Woolley TE. 2019. A mathematical insight into cell labelling experiments for clonal analysis. Journal of Anatomy. 235(3), 686–696.","ama":"Picco N, Hippenmeyer S, Rodarte J, et al. A mathematical insight into cell labelling experiments for clonal analysis. Journal of Anatomy. 2019;235(3):686-696. doi:10.1111/joa.13001","chicago":"Picco, Noemi, Simon Hippenmeyer, Julio Rodarte, Carmen Streicher, Zoltán Molnár, Philip K. Maini, and Thomas E. Woolley. “A Mathematical Insight into Cell Labelling Experiments for Clonal Analysis.” Journal of Anatomy. Wiley, 2019. https://doi.org/10.1111/joa.13001.","short":"N. Picco, S. Hippenmeyer, J. Rodarte, C. Streicher, Z. Molnár, P.K. Maini, T.E. Woolley, Journal of Anatomy 235 (2019) 686–696.","mla":"Picco, Noemi, et al. “A Mathematical Insight into Cell Labelling Experiments for Clonal Analysis.” Journal of Anatomy, vol. 235, no. 3, Wiley, 2019, pp. 686–96, doi:10.1111/joa.13001."},"publication":"Journal of Anatomy"},{"type":"journal_article","abstract":[{"text":"Activity-dependent bulk endocytosis generates synaptic vesicles (SVs) during intense neuronal activity via a two-step process. First, bulk endosomes are formed direct from the plasma membrane from which SVs are then generated. SV generation from bulk endosomes requires the efflux of previously accumulated calcium and activation of the protein phosphatase calcineurin. However, it is still unknown how calcineurin mediates SV generation. We addressed this question using a series of acute interventions that decoupled the generation of SVs from bulk endosomes in rat primary neuronal culture. This was achieved by either disruption of protein–protein interactions via delivery of competitive peptides, or inhibition of enzyme activity by known inhibitors. SV generation was monitored using either a morphological horseradish peroxidase assay or an optical assay that monitors the replenishment of the reserve SV pool. We found that SV generation was inhibited by, (i) peptides that disrupt calcineurin interactions, (ii) an inhibitor of dynamin I GTPase activity and (iii) peptides that disrupt the phosphorylation-dependent dynamin I–syndapin I interaction. Peptides that disrupted syndapin I interactions with eps15 homology domain-containing proteins had no effect. This revealed that (i) calcineurin must be localized at bulk endosomes to mediate its effect, (ii) dynamin I GTPase activity is essential for SV fission and (iii) the calcineurin-dependent interaction between dynamin I and syndapin I is essential for SV generation. We therefore propose that a calcineurin-dependent dephosphorylation cascade that requires both dynamin I GTPase and syndapin I lipid-deforming activity is essential for SV generation from bulk endosomes.","lang":"eng"}],"issue":"5","status":"public","ddc":["570"],"title":"Synaptic vesicle generation from activity‐dependent bulk endosomes requires a dephosphorylation‐dependent dynamin–syndapin interaction","intvolume":" 151","_id":"7005","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","oa_version":"Published Version","file":[{"checksum":"ec1fb2aebb874009bc309adaada6e1d7","date_updated":"2020-07-14T12:47:47Z","date_created":"2020-02-05T10:30:02Z","file_id":"7452","relation":"main_file","creator":"dernst","file_size":4334962,"content_type":"application/pdf","access_level":"open_access","file_name":"2019_JournNeurochemistry_Cheung.pdf"}],"scopus_import":"1","day":"01","has_accepted_license":"1","article_processing_charge":"No","article_type":"original","page":"570-583","publication":"Journal of Neurochemistry","citation":{"ista":"Cheung GT, Cousin MA. 2019. Synaptic vesicle generation from activity‐dependent bulk endosomes requires a dephosphorylation‐dependent dynamin–syndapin interaction. Journal of Neurochemistry. 151(5), 570–583.","apa":"Cheung, G. T., & Cousin, M. A. (2019). Synaptic vesicle generation from activity‐dependent bulk endosomes requires a dephosphorylation‐dependent dynamin–syndapin interaction. Journal of Neurochemistry. Wiley. https://doi.org/10.1111/jnc.14862","ieee":"G. T. Cheung and M. A. Cousin, “Synaptic vesicle generation from activity‐dependent bulk endosomes requires a dephosphorylation‐dependent dynamin–syndapin interaction,” Journal of Neurochemistry, vol. 151, no. 5. Wiley, pp. 570–583, 2019.","ama":"Cheung GT, Cousin MA. Synaptic vesicle generation from activity‐dependent bulk endosomes requires a dephosphorylation‐dependent dynamin–syndapin interaction. Journal of Neurochemistry. 2019;151(5):570-583. doi:10.1111/jnc.14862","chicago":"Cheung, Giselle T, and Michael A. Cousin. “Synaptic Vesicle Generation from Activity‐dependent Bulk Endosomes Requires a Dephosphorylation‐dependent Dynamin–Syndapin Interaction.” Journal of Neurochemistry. Wiley, 2019. https://doi.org/10.1111/jnc.14862.","mla":"Cheung, Giselle T., and Michael A. Cousin. “Synaptic Vesicle Generation from Activity‐dependent Bulk Endosomes Requires a Dephosphorylation‐dependent Dynamin–Syndapin Interaction.” Journal of Neurochemistry, vol. 151, no. 5, Wiley, 2019, pp. 570–83, doi:10.1111/jnc.14862.","short":"G.T. Cheung, M.A. Cousin, Journal of Neurochemistry 151 (2019) 570–583."},"date_published":"2019-12-01T00:00:00Z","file_date_updated":"2020-07-14T12:47:47Z","publication_status":"published","publisher":"Wiley","department":[{"_id":"SiHi"}],"year":"2019","pmid":1,"date_created":"2019-11-12T14:37:08Z","date_updated":"2023-08-30T07:21:50Z","volume":151,"author":[{"full_name":"Cheung, Giselle T","orcid":"0000-0001-8457-2572","id":"471195F6-F248-11E8-B48F-1D18A9856A87","last_name":"Cheung","first_name":"Giselle T"},{"full_name":"Cousin, Michael A.","last_name":"Cousin","first_name":"Michael A."}],"month":"12","publication_identifier":{"eissn":["1471-4159"],"issn":["0022-3042"]},"quality_controlled":"1","isi":1,"tmp":{"name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode","short":"CC BY (4.0)","image":"/images/cc_by.png"},"oa":1,"external_id":{"pmid":["31479508"],"isi":["000490703100001"]},"language":[{"iso":"eng"}],"doi":"10.1111/jnc.14862"},{"external_id":{"pmid":["31073041"],"isi":["000467631800034"]},"oa":1,"main_file_link":[{"open_access":"1","url":"https://orbi.uliege.be/bitstream/2268/239604/1/Telley_Agirman_Science2019.pdf"}],"isi":1,"quality_controlled":"1","project":[{"_id":"260018B0-B435-11E9-9278-68D0E5697425","grant_number":"725780","call_identifier":"H2020","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development"},{"call_identifier":"FWF","name":"Role of Eed in neural stem cell lineage progression","_id":"268F8446-B435-11E9-9278-68D0E5697425","grant_number":"T0101031"}],"doi":"10.1126/science.aav2522","language":[{"iso":"eng"}],"month":"05","publication_identifier":{"issn":["0036-8075"],"eissn":["1095-9203"]},"year":"2019","pmid":1,"publication_status":"published","publisher":"AAAS","department":[{"_id":"SiHi"}],"author":[{"full_name":"Telley, L","first_name":"L","last_name":"Telley"},{"full_name":"Agirman, G","last_name":"Agirman","first_name":"G"},{"full_name":"Prados, J","first_name":"J","last_name":"Prados"},{"orcid":"0000-0002-3183-8207","id":"4CD6AAC6-F248-11E8-B48F-1D18A9856A87","last_name":"Amberg","first_name":"Nicole","full_name":"Amberg, Nicole"},{"first_name":"S","last_name":"Fièvre","full_name":"Fièvre, S"},{"last_name":"Oberst","first_name":"P","full_name":"Oberst, P"},{"first_name":"G","last_name":"Bartolini","full_name":"Bartolini, G"},{"last_name":"Vitali","first_name":"I","full_name":"Vitali, I"},{"full_name":"Cadilhac, C","first_name":"C","last_name":"Cadilhac"},{"first_name":"Simon","last_name":"Hippenmeyer","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061","full_name":"Hippenmeyer, Simon"},{"full_name":"Nguyen, L","first_name":"L","last_name":"Nguyen"},{"last_name":"Dayer","first_name":"A","full_name":"Dayer, A"},{"full_name":"Jabaudon, D","last_name":"Jabaudon","first_name":"D"}],"related_material":{"link":[{"url":"https://ist.ac.at/en/news/how-to-generate-a-brain-of-correct-size-and-composition/","relation":"press_release","description":"News on IST Homepage"}]},"date_updated":"2023-09-05T11:51:09Z","date_created":"2019-05-14T13:07:47Z","volume":364,"article_number":"eaav2522","ec_funded":1,"publication":"Science","citation":{"chicago":"Telley, L, G Agirman, J Prados, Nicole Amberg, S Fièvre, P Oberst, G Bartolini, et al. “Temporal Patterning of Apical Progenitors and Their Daughter Neurons in the Developing Neocortex.” Science. AAAS, 2019. https://doi.org/10.1126/science.aav2522.","mla":"Telley, L., et al. “Temporal Patterning of Apical Progenitors and Their Daughter Neurons in the Developing Neocortex.” Science, vol. 364, no. 6440, eaav2522, AAAS, 2019, doi:10.1126/science.aav2522.","short":"L. Telley, G. Agirman, J. Prados, N. Amberg, S. Fièvre, P. Oberst, G. Bartolini, I. Vitali, C. Cadilhac, S. Hippenmeyer, L. Nguyen, A. Dayer, D. Jabaudon, Science 364 (2019).","ista":"Telley L, Agirman G, Prados J, Amberg N, Fièvre S, Oberst P, Bartolini G, Vitali I, Cadilhac C, Hippenmeyer S, Nguyen L, Dayer A, Jabaudon D. 2019. Temporal patterning of apical progenitors and their daughter neurons in the developing neocortex. Science. 364(6440), eaav2522.","apa":"Telley, L., Agirman, G., Prados, J., Amberg, N., Fièvre, S., Oberst, P., … Jabaudon, D. (2019). Temporal patterning of apical progenitors and their daughter neurons in the developing neocortex. Science. AAAS. https://doi.org/10.1126/science.aav2522","ieee":"L. Telley et al., “Temporal patterning of apical progenitors and their daughter neurons in the developing neocortex,” Science, vol. 364, no. 6440. AAAS, 2019.","ama":"Telley L, Agirman G, Prados J, et al. Temporal patterning of apical progenitors and their daughter neurons in the developing neocortex. Science. 2019;364(6440). doi:10.1126/science.aav2522"},"article_type":"original","date_published":"2019-05-10T00:00:00Z","scopus_import":"1","day":"10","article_processing_charge":"No","_id":"6455","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","status":"public","title":"Temporal patterning of apical progenitors and their daughter neurons in the developing neocortex","intvolume":" 364","oa_version":"Published Version","type":"journal_article","abstract":[{"text":"During corticogenesis, distinct subtypes of neurons are sequentially born from ventricular zone progenitors. How these cells are molecularly temporally patterned is poorly understood. We used single-cell RNA sequencing at high temporal resolution to trace the lineage of the molecular identities of successive generations of apical progenitors (APs) and their daughter neurons in mouse embryos. We identified a core set of evolutionarily conserved, temporally patterned genes that drive APs from internally driven to more exteroceptive states. We found that the Polycomb repressor complex 2 (PRC2) epigenetically regulates AP temporal progression. Embryonic age–dependent AP molecular states are transmitted to their progeny as successive ground states, onto which essentially conserved early postmitotic differentiation programs are applied, and are complemented by later-occurring environment-dependent signals. Thus, epigenetically regulated temporal molecular birthmarks present in progenitors act in their postmitotic progeny to seed adult neuronal diversity.","lang":"eng"}],"issue":"6440"},{"tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode","short":"CC BY-NC-ND (4.0)","image":"/images/cc_by_nc_nd.png"},"oa":1,"external_id":{"isi":["000463337900018"],"pmid":["30824354"]},"project":[{"grant_number":"725780","_id":"260018B0-B435-11E9-9278-68D0E5697425","name":"Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development","call_identifier":"H2020"}],"isi":1,"quality_controlled":"1","doi":"10.1016/j.neuron.2019.01.051","language":[{"iso":"eng"}],"publication_identifier":{"issn":["0896-6273"],"eissn":["1097-4199"]},"month":"04","pmid":1,"year":"2019","publisher":"Elsevier","department":[{"_id":"SiHi"}],"publication_status":"published","author":[{"last_name":"Ortiz-Álvarez","first_name":"G","full_name":"Ortiz-Álvarez, G"},{"last_name":"Daclin","first_name":"M","full_name":"Daclin, M"},{"full_name":"Shihavuddin, A","last_name":"Shihavuddin","first_name":"A"},{"full_name":"Lansade, P","last_name":"Lansade","first_name":"P"},{"first_name":"A","last_name":"Fortoul","full_name":"Fortoul, A"},{"full_name":"Faucourt, M","last_name":"Faucourt","first_name":"M"},{"first_name":"S","last_name":"Clavreul","full_name":"Clavreul, S"},{"first_name":"ME","last_name":"Lalioti","full_name":"Lalioti, ME"},{"last_name":"Taraviras","first_name":"S","full_name":"Taraviras, S"},{"full_name":"Hippenmeyer, Simon","first_name":"Simon","last_name":"Hippenmeyer","id":"37B36620-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-2279-1061"},{"full_name":"Livet, J","first_name":"J","last_name":"Livet"},{"full_name":"Meunier, A","first_name":"A","last_name":"Meunier"},{"full_name":"Genovesio, A","first_name":"A","last_name":"Genovesio"},{"first_name":"N","last_name":"Spassky","full_name":"Spassky, N"}],"volume":102,"date_updated":"2023-09-05T13:02:21Z","date_created":"2019-05-14T13:06:30Z","ec_funded":1,"file_date_updated":"2020-07-14T12:47:30Z","citation":{"short":"G. Ortiz-Álvarez, M. Daclin, A. Shihavuddin, P. Lansade, A. Fortoul, M. Faucourt, S. Clavreul, M. Lalioti, S. Taraviras, S. Hippenmeyer, J. Livet, A. Meunier, A. Genovesio, N. Spassky, Neuron 102 (2019) 159–172.e7.","mla":"Ortiz-Álvarez, G., et al. “Adult Neural Stem Cells and Multiciliated Ependymal Cells Share a Common Lineage Regulated by the Geminin Family Members.” Neuron, vol. 102, no. 1, Elsevier, 2019, p. 159–172.e7, doi:10.1016/j.neuron.2019.01.051.","chicago":"Ortiz-Álvarez, G, M Daclin, A Shihavuddin, P Lansade, A Fortoul, M Faucourt, S Clavreul, et al. “Adult Neural Stem Cells and Multiciliated Ependymal Cells Share a Common Lineage Regulated by the Geminin Family Members.” Neuron. Elsevier, 2019. https://doi.org/10.1016/j.neuron.2019.01.051.","ama":"Ortiz-Álvarez G, Daclin M, Shihavuddin A, et al. Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. Neuron. 2019;102(1):159-172.e7. doi:10.1016/j.neuron.2019.01.051","apa":"Ortiz-Álvarez, G., Daclin, M., Shihavuddin, A., Lansade, P., Fortoul, A., Faucourt, M., … Spassky, N. (2019). Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2019.01.051","ieee":"G. Ortiz-Álvarez et al., “Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members,” Neuron, vol. 102, no. 1. Elsevier, p. 159–172.e7, 2019.","ista":"Ortiz-Álvarez G, Daclin M, Shihavuddin A, Lansade P, Fortoul A, Faucourt M, Clavreul S, Lalioti M, Taraviras S, Hippenmeyer S, Livet J, Meunier A, Genovesio A, Spassky N. 2019. Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members. Neuron. 102(1), 159–172.e7."},"publication":"Neuron","page":"159-172.e7","date_published":"2019-04-03T00:00:00Z","scopus_import":"1","has_accepted_license":"1","article_processing_charge":"No","day":"03","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","_id":"6454","intvolume":" 102","ddc":["570"],"title":"Adult neural stem cells and multiciliated ependymal cells share a common lineage regulated by the Geminin family members","status":"public","file":[{"creator":"dernst","file_size":7288572,"content_type":"application/pdf","file_name":"2019_Neuron_Ortiz.pdf","access_level":"open_access","date_updated":"2020-07-14T12:47:30Z","date_created":"2019-05-15T09:28:41Z","checksum":"1fb6e195c583eb0c5cabf26f69ff6675","file_id":"6457","relation":"main_file"}],"oa_version":"Published Version","type":"journal_article","issue":"1","abstract":[{"lang":"eng","text":"Adult neural stem cells and multiciliated ependymalcells are glial cells essential for neurological func-tions. Together, they make up the adult neurogenicniche. Using both high-throughput clonal analysisand single-cell resolution of progenitor division pat-terns and fate, we show that these two componentsof the neurogenic niche are lineally related: adult neu-ral stem cells are sister cells to ependymal cells,whereas most ependymal cells arise from the termi-nal symmetric divisions of the lineage. Unexpectedly,we found that the antagonist regulators of DNA repli-cation, GemC1 and Geminin, can tune the proportionof neural stem cells and ependymal cells. Our find-ings reveal the controlled dynamic of the neurogenicniche ontogeny and identify the Geminin familymembers as key regulators of the initial pool of adultneural stem cells."}]}]