File:Regulation-of-branching-dynamics-by-axon-intrinsic-asymmetries-in-Tyrosine-Kinase-Receptor-signaling-elife01699v004.ogv

Regulation-of-branching-dynamics-by-axon-intrinsic-asymmetries-in-Tyrosine-Kinase-Receptor-signaling-elife01699v004.ogv(Ogg Theora video file, length 4.4 s, 600 × 317 pixels, 1.69 Mbps, file size: 911 KB)

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English: Comparison egfr vs egfr + dingo. This video is related to Figure 6. Video shows the side-by-side comparison of dynamic behavior of filopodia with and without Dyngo-4a (a dynamin inhibitor) treatment. The intensity of the EGFR-GFP signal is displayed in yellow. The outlines of the filopodia have been segmented by subsequently thresholding and outline detection of the fluorescent signal. To show the dynamic behavior of the filopodia in the time-lapse video, the outlines of the following two frames (4 and 8 s ahead of the current frames) are displayed in red and in blue respectively. The untreated filopodia move more than the Dyngo-4a treated ones.

DOI:

https://dx.doi.org/10.7554/eLife.01699.020
Date
Source Video 4. from Zschatzsch M, Oliva C, Langen M, De Geest N, Ozel M, Williamson W, Lemon W, Soldano A, Munck S, Hiesinger P, Sanchez-Soriano N, Hassan B (2014). "Regulation of branching dynamics by axon-intrinsic asymmetries in Tyrosine Kinase Receptor signaling". eLife. DOI:10.7554/eLife.01699. PMID 24755286. PMC: 3990184.
Author Zschatzsch M, Oliva C, Langen M, De Geest N, Ozel M, Williamson W, Lemon W, Soldano A, Munck S, Hiesinger P, Sanchez-Soriano N, Hassan B
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Date/TimeThumbnailDimensionsUserComment
current15:43, 26 April 20144.4 s, 600 × 317 (911 KB)Open Access Media Importer Bot (talk | contribs)Automatically uploaded media file from Open Access source. Please report problems or suggestions here.

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Format Bitrate Download Status Encode time
VP9 240P 310 kbps Completed 08:06, 17 October 2018 4.0 s
Streaming 240p (VP9) 311 kbps Completed 20:56, 16 December 2023 1.0 s
WebM 360P 414 kbps Completed 08:32, 2 December 2023 1.0 s
Streaming 144p (MJPEG) 524 kbps Completed 21:28, 18 November 2023 1.0 s

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