Chemotactic responses of growing neurites to precisely controlled gradients of nerve growth factor
| Autor: | Julia Feldner, Geoffrey J. Goodhill, Zac Pujic, Brendan A. Bicknell, Irina Vetter |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Statistics and Probability Data Descriptor Neurite Context (language use) Library and Information Sciences Imaging Education 03 medical and health sciences 0302 clinical medicine Dorsal root ganglion Ganglia Spinal Nerve Growth Factor Developmental biology medicine Neurites Animals Axon and dendritic guidance Chemistry Chemotaxis In vitro Rats Computer Science Applications 030104 developmental biology medicine.anatomical_structure Neurite growth Nerve growth factor Biophysics Statistics Probability and Uncertainty 030217 neurology & neurosurgery Function (biology) Information Systems |
| Zdroj: | Scientific Data |
| ISSN: | 2052-4463 |
| DOI: | 10.1038/sdata.2018.183 |
| Popis: | Chemotaxis plays a key role in many biological systems. In particular in the context of the developing nervous system, growing neurites can respond in vitro to shallow gradients of chemotropic molecules such as nerve growth factor (NGF). However, in such studies the gradient parameters are often not well controlled. Here we present a dataset of ~3500 images of early postnatal rat dorsal root ganglion (DRG) explants growing in 40 different precisely controlled combinations of absolute concentration and gradient steepness of NGF. Each image has been segmented into neurite and explant-body regions. We provide computer code for exploration and quantification of the data, including a Fourier analysis of the outer contour of neurite growth, which allows quantities such as outgrowth and guidance as a function of concentration and gradient steepness to be easily extracted. This is the most comprehensive quantitative dataset of chemotactic responses yet available for any biological system, which we hope will be useful for exploring the biological mechanisms governing chemotaxis. |
| Databáze: | OpenAIRE |
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