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| Home > Publications Database > Dataset: Microtubule retrograde flow retains neuronal polarization in a fluctuating state > print |
| 001 | 169065 | ||
| 005 | 20230904112212.0 | ||
| 024 | 7 | _ | |2 doi |a 10.5061/DRYAD.2FQZ612S8 |
| 024 | 7 | _ | |2 doi |a 10.5061/dryad.2fqz612s8 |
| 037 | _ | _ | |a DZNE-2022-01772 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |0 P:(DE-2719)2810270 |a Bradke, Frank |b 0 |e First author |u dzne |
| 245 | _ | _ | |a Dataset: Microtubule retrograde flow retains neuronal polarization in a fluctuating state |
| 260 | _ | _ | |b Dryad |c 2022 |
| 336 | 7 | _ | |2 BibTeX |a MISC |
| 336 | 7 | _ | |0 PUB:(DE-HGF)32 |2 PUB:(DE-HGF) |a Dataset |b dataset |m dataset |s 1672671035_15513 |
| 336 | 7 | _ | |0 26 |2 EndNote |a Chart or Table |
| 336 | 7 | _ | |2 DataCite |a Dataset |
| 336 | 7 | _ | |2 ORCID |a DATA_SET |
| 336 | 7 | _ | |2 DINI |a ResearchData |
| 520 | _ | _ | |a In 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. |
| 536 | _ | _ | |0 G:(DE-HGF)POF4-351 |a 351 - Brain Function (POF4-351) |c POF4-351 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 650 | _ | 7 | |2 Other |a Neurons |
| 650 | _ | 7 | |2 Other |a cell biology |
| 650 | _ | 7 | |2 Other |a cytoskeleton |
| 650 | _ | 7 | |2 Other |a microtubules |
| 650 | _ | 7 | |2 Other |a Live cell imaging |
| 650 | _ | 7 | |2 Other |a Python |
| 650 | _ | 7 | |2 Other |a automated analysis |
| 650 | _ | 7 | |2 Other |a microscopy |
| 650 | _ | 7 | |2 Other |a Dynein |
| 650 | _ | 7 | |2 Other |a figureflow |
| 650 | _ | 7 | |2 Other |a FOS: Biological sciences |
| 700 | 1 | _ | |0 P:(DE-2719)2811316 |a Schelski, Max |b 1 |e Last author |u dzne |
| 773 | _ | _ | |a 10.5061/dryad.2fqz612s8 |
| 909 | C | O | |o oai:pub.dzne.de:169065 |p VDB |
| 910 | 1 | _ | |0 I:(DE-588)1065079516 |6 P:(DE-2719)2810270 |a Deutsches Zentrum für Neurodegenerative Erkrankungen |b 0 |k DZNE |
| 910 | 1 | _ | |0 I:(DE-588)1065079516 |6 P:(DE-2719)2811316 |a Deutsches Zentrum für Neurodegenerative Erkrankungen |b 1 |k DZNE |
| 913 | 1 | _ | |0 G:(DE-HGF)POF4-351 |1 G:(DE-HGF)POF4-350 |2 G:(DE-HGF)POF4-300 |3 G:(DE-HGF)POF4 |4 G:(DE-HGF)POF |a DE-HGF |b Gesundheit |l Neurodegenerative Diseases |v Brain Function |x 0 |
| 914 | 1 | _ | |y 2022 |
| 920 | 1 | _ | |0 I:(DE-2719)1013002 |k AG Bradke |l Axon Growth and Regeneration |x 0 |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-2719)1013002 |
| 980 | _ | _ | |a UNRESTRICTED |
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