{"id":138,"date":"2022-02-06T14:53:53","date_gmt":"2022-02-06T14:53:53","guid":{"rendered":"https:\/\/robustcircuit.flygen.org\/?page_id=138"},"modified":"2025-12-13T23:29:18","modified_gmt":"2025-12-13T23:29:18","slug":"project-z1","status":"publish","type":"page","link":"https:\/\/robustcircuit.flygen.org\/?page_id=138","title":{"rendered":"Project Z1"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"robustcircuit-project-z1\"><em>RobustCircuit<\/em> <strong>Project Z1<\/strong><\/h2>\n\n\n\n<p id=\"robustcircuit-project-z1\" class=\"wp-block-paragraph\"><em>Funding Period 2022-2026 Project. Updates on new 2026-2030 project to follow soon!<\/em><\/p>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<h3 class=\"wp-block-heading\" id=\"comparative-quantitative-image-acquisition-analysis-and-modeling\"><strong>Comparative Quantitative Image Acquisition, Analysis and Modeling<\/strong><\/h3>\n\n\n\n<h6 class=\"wp-block-heading\" id=\"daniel-baum-robin-hiesinger-and-max-von-kleist\">Daniel Baum, Robin Hiesinger and Max von Kleist<\/h6>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<div class=\"wp-block-columns alignwide is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"is-style-rounded wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"202\" height=\"280\" src=\"https:\/\/i0.wp.com\/robustcircuit.flygen.org\/wp-content\/uploads\/2022\/02\/DanielBaum.png?resize=202%2C280&#038;ssl=1\" alt=\"\" class=\"wp-image-103\"\/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"is-style-rounded wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"202\" height=\"285\" src=\"https:\/\/i0.wp.com\/robustcircuit.flygen.org\/wp-content\/uploads\/2022\/02\/RobinHiesinger2-1.jpg?resize=202%2C285&#038;ssl=1\" alt=\"\" class=\"wp-image-101\"\/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"is-style-rounded wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"202\" height=\"286\" src=\"https:\/\/i0.wp.com\/robustcircuit.flygen.org\/wp-content\/uploads\/2022\/02\/MaxvonKleist.jpg?resize=202%2C286&#038;ssl=1\" alt=\"\" class=\"wp-image-114\"\/><\/figure>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Project Z1<\/strong> is designed to tackle two core challenges resulting from the collaborative project design of <em>RobustCircuit<\/em>:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">Molecular, subcellular and cellular dynamics should be of consistent data types and quality to be quantitatively comparable between projects.<\/li>\n<\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li class=\"\">When manipulation of imprecise parameters without collateral effects is challenging in biological experiments, computational modeling is needed to allow to specifically modulate imprecise parameters and provide testable hypotheses for the generation of robust outcomes.<\/li>\n<\/ul>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p class=\"wp-block-paragraph\">Question: <em>How do imprecise molecular, subcellular and cellular dynamics and properties enable higher level robustness in neural circuit assemblies?<\/em><\/p>\n<\/blockquote>\n\n\n\n<p class=\"wp-block-paragraph\">Hypothesis: Imprecise processes provide pools of variation to ensure flexible and robust neural circuit assemblies through competition and selection<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"project-summary\">Project Summary<\/h4>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignleft size-full is-resized\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"500\" height=\"500\" src=\"https:\/\/i0.wp.com\/robustcircuit.flygen.org\/wp-content\/uploads\/2022\/02\/z1-1.jpg?resize=500%2C500&#038;ssl=1\" alt=\"\" class=\"wp-image-161\" style=\"width:250px;height:250px\" srcset=\"https:\/\/i0.wp.com\/robustcircuit.flygen.org\/wp-content\/uploads\/2022\/02\/z1-1.jpg?w=500&amp;ssl=1 500w, https:\/\/i0.wp.com\/robustcircuit.flygen.org\/wp-content\/uploads\/2022\/02\/z1-1.jpg?resize=300%2C300&amp;ssl=1 300w, https:\/\/i0.wp.com\/robustcircuit.flygen.org\/wp-content\/uploads\/2022\/02\/z1-1.jpg?resize=150%2C150&amp;ssl=1 150w\" sizes=\"auto, (max-width: 500px) 100vw, 500px\" \/><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">The goal of <em>RobustCircuit<\/em> is to understand common principles underlying the requirements of imprecise processes at lower scales (from molecules to cells) to yield robust outcomes at higher scales (from cells to behavior) in neural circuit assembly.&nbsp; Live imaging is the principle means to obtain quantitative data on imprecise and robust processes at the levels of molecular, subcellular and cellular dynamics.&nbsp; Seven of the eight projects utilize <em>intravital<\/em> and <em>ex vivo<\/em> live imaging to obtain statistically powerful data on imprecisions, including noise, in subcellular dynamics.&nbsp; Based on such quantitative data, computational modeling allows one to make predictions for the roles imprecisions play in creating robust systems.&nbsp; The Z1 project is therefore designed to tackle two core challenges resulting from our collaborative project design:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Challenge 1: Molecular, subcellular and cellular dynamics should be of the same data type and quality to be quantitatively comparable between projects.&nbsp; Solution: Objective 1 is devised to provide a common and standardized approach to 4D live imaging acquisition and comparative tracking method adaptations and analyses.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Challenge 2: The manipulation of imprecise parameters without collateral effects is challenging in biological experiments.&nbsp; In contrast to the biological experiment, computational modeling allows to specifically modulate imprecise parameters and provide testable hypotheses for the generation of robust outcomes.&nbsp; Solution: Objective 2 is devised to provide modeling approaches that can be adapted from an established stochastic modeling framework previously tested by <em>RobustCircuit<\/em> PIs for the generation of robust synapse formation based on stochastic subcellular dynamics.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\" id=\"references\">References<\/h4>\n\n\n\n<ol class=\"wp-block-list\">\n<li class=\"\">Kiral, F.R., Dutta, S.B., Linneweber, G.A., Poppa, C., Duch, C., <strong>von Kleist, M., <\/strong>Hassan, B.A., and <strong>Hiesinger, P.R.<\/strong> (2021). Brain Connectivity inversely scales with developmental temperature in <em>Drosophila<\/em>, <strong>Cell Rep.<\/strong> <em>37(12):110145<\/em>.<\/li>\n\n\n\n<li class=\"\">Kiral, F.R., Linneweber, G.A., Mathejczyk, T., Georgiev, S.V., Wernet, M.F., Hassan, B.A., <strong>von Kleist, M.,<\/strong> <strong>Hiesinger, P.R. <\/strong><em>(2020)<\/em>. Autophagy-dependent filopodial kinetics restrict synaptic partner choice during Drosophila brain wiring. <strong><em>Nat Commun <\/em><\/strong>11(1):1325. doi: 10.1038\/s41467-020-14781-4.<\/li>\n\n\n\n<li class=\"\"> Ziesche, R.F., Arlt, T., Finegan, D.P., Heenan, T. M. M., Tengattini, A., <strong>Baum, D.<\/strong>, et al., (2020). 4D imaging of lithium-batteries using correlative neutron and X-ray tomography with a virtual unrolling technique. <strong><em>Nat Commun<\/em><\/strong> <strong>11, <\/strong>777.<\/li>\n\n\n\n<li class=\"\">Ozel, M.N., Kulkarni, A., Hasan, A., Brummer, J., Moldenhauer, M., Daumann, I.M., Wolfenberg, H., Dercksen, V.J., Kiral, F.R., Weiser, M., Prohaska, S., <strong>von Kleist, M.*,<\/strong> <strong>Hiesinger, P.R.*<\/strong> Serial synapse formation through filopodial competition for synaptic seeding factors, <strong><em>Developmental Cell<\/em><\/strong> 50(4):447-461.e8. * co-corresponding authors<\/li>\n\n\n\n<li class=\"\"><strong>Baum, D.<\/strong>, Weaver, J.C., Zlotnikov, I., Kn\u00f6tel, D., Tomholt, L., Dean, M.N. (<em>2019<\/em>) High-throughput segmentation of tiled biological structures using Random-Walk Distance Transforms. <strong><em>Integrative and Comparative Biology<\/em><\/strong>, 59: 1700-1712<\/li>\n\n\n\n<li class=\"\"><strong>von Kleist M<\/strong>., Sch\u00fctte C., Zhang W. <em>(2018)<\/em>, Statistical analysis of the first passage path ensemble of jump processes. <strong><em>Journal of Statistical Physics<\/em><\/strong>, 170, 809-43<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>RobustCircuit Project Z1 Funding Period 2022-2026 Project. Updates on new 2026-2030 project to follow soon! Comparative Quantitative Image Acquisition, Analysis and Modeling Daniel Baum, Robin Hiesinger and Max von Kleist&hellip;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"nf_dc_page":"","footnotes":""},"class_list":["post-138","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.7 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Project Z1 - RobustCircuit<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/robustcircuit.flygen.org\/?page_id=138\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Project Z1 - RobustCircuit\" \/>\n<meta property=\"og:description\" content=\"RobustCircuit Project Z1 Funding Period 2022-2026 Project. 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