000169065 001__ 169065
000169065 005__ 20230904112212.0
000169065 0247_ $$2doi$$a10.5061/DRYAD.2FQZ612S8
000169065 0247_ $$2doi$$a10.5061/dryad.2fqz612s8
000169065 037__ $$aDZNE-2022-01772
000169065 041__ $$aEnglish
000169065 1001_ $$0P:(DE-2719)2810270$$aBradke, Frank$$b0$$eFirst author$$udzne
000169065 245__ $$aDataset: Microtubule retrograde flow retains neuronal polarization in a fluctuating state
000169065 260__ $$bDryad$$c2022
000169065 3367_ $$2BibTeX$$aMISC
000169065 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1672671035_15513
000169065 3367_ $$026$$2EndNote$$aChart or Table
000169065 3367_ $$2DataCite$$aDataset
000169065 3367_ $$2ORCID$$aDATA_SET
000169065 3367_ $$2DINI$$aResearchData
000169065 520__ $$aIn developing vertebrate neurons, a neurite is formed by more than a hundred microtubules. While individual microtubules are dynamic, the microtubule array has been regarded as stationary. Using live-cell imaging of neurons in culture or in brain slices, combined with photoconversion techniques and pharmacological manipulations, we uncovered that the microtubule array flows retrogradely within neurites to the soma. This flow drives cycles of microtubule density, a hallmark of the fluctuating state before axon formation, thereby inhibiting neurite growth. The motor protein dynein fuels this process. Shortly after axon formation, microtubule retrograde flow slows down in the axon, reducing microtubule density cycles and enabling axon extension. Thus, keeping neurites short is an active process. Microtubule retrograde flow is a novel type of cytoskeletal dynamics, which changes the hitherto axon-centric view of neuronal polarization.
000169065 536__ $$0G:(DE-HGF)POF4-351$$a351 - Brain Function (POF4-351)$$cPOF4-351$$fPOF IV$$x0
000169065 588__ $$aDataset connected to DataCite
000169065 650_7 $$2Other$$aNeurons
000169065 650_7 $$2Other$$acell biology
000169065 650_7 $$2Other$$acytoskeleton
000169065 650_7 $$2Other$$amicrotubules
000169065 650_7 $$2Other$$aLive cell imaging
000169065 650_7 $$2Other$$aPython
000169065 650_7 $$2Other$$aautomated analysis
000169065 650_7 $$2Other$$amicroscopy
000169065 650_7 $$2Other$$aDynein
000169065 650_7 $$2Other$$afigureflow
000169065 650_7 $$2Other$$aFOS: Biological sciences
000169065 7001_ $$0P:(DE-2719)2811316$$aSchelski, Max$$b1$$eLast author$$udzne
000169065 773__ $$a10.5061/dryad.2fqz612s8
000169065 909CO $$ooai:pub.dzne.de:169065$$pVDB
000169065 9141_ $$y2022
000169065 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)2810270$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b0$$kDZNE
000169065 9101_ $$0I:(DE-588)1065079516$$6P:(DE-2719)2811316$$aDeutsches Zentrum für Neurodegenerative Erkrankungen$$b1$$kDZNE
000169065 9131_ $$0G:(DE-HGF)POF4-351$$1G:(DE-HGF)POF4-350$$2G:(DE-HGF)POF4-300$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$aDE-HGF$$bGesundheit$$lNeurodegenerative Diseases$$vBrain Function$$x0
000169065 9201_ $$0I:(DE-2719)1013002$$kAG Bradke$$lAxon Growth and Regeneration$$x0
000169065 980__ $$adataset
000169065 980__ $$aVDB
000169065 980__ $$aI:(DE-2719)1013002
000169065 980__ $$aUNRESTRICTED