Confocal microscopy image stacks from "Temporal integration of auxin information for the regulation of patterning"
<p>This dataset contains raw images in CZI format (Zeiss) of shoot apical meristems (SAM) from <em>Arabidopsis thaliana </em>transgenic lines <strong>qDII-pCLV3-pDR5</strong> or <strong>qDII-pCLV3-PIN1</strong>. See <em>(Galvan-Ampudia and Cerutti et al.) </em>for detailed information. This data constitutes the input of the <strong>sam_spaghetti</strong> pipeline (<a href="https://gitlab.inria.fr/mosaic/publications/sam_spaghetti">https://gitlab.inria.fr/mosaic/publications/sam_spaghetti</a>) and can be processed using the scripts and examples provided in the package.</p> <p> </p> <p><strong>File information:</strong></p> <p>File names containing qDII-CLV3-DR5 have the following data:</p> <ul> <li>Channel 1: <em>DII-VENUS-N7</em></li> <li>Channel 2: <em>pDR5:2xmTurquoise2</em></li> <li>Channel 3: <em>pRPS5a:TagBFP-SV40</em></li> <li>Channel 4: <em>pCLV3:mCherry-N7</em></li> </ul> <p>File names containing qDII-CLV3-PIN1-PI have the following data:</p> <ul> <li>Channel 1: <em>DII-VENUS-N7</em></li> <li>Channel 2: <em>pPIN1:PIN1-GFP</em></li> <li>Channel 3: <em>Propidium Iodide (cell walls)</em></li> <li>Channel 4: <em>pRPS5a:TagBFP-SV40</em></li> <li>Channel 5: <em>pCLV3:mCherry-N7</em></li> </ul> <p>Time-lapse sequences are identified as follows:</p> <ul> <li><strong>qDII-CLV3-DR5-E27-LD-SAM7.czi</strong></li> <li><strong>qDII-CLV3-DR5-E27-LD-SAM7-T5.czi</strong></li> <li><strong>qDII-CLV3-DR5-E27-LD-SAM7-T10.czi</strong></li> </ul> <p>where:</p> <ul> <li><strong>qDII-CLV3-DR5</strong> indicates the line</li> <li><strong>E$$-LD</strong> (e.g. E25-LD, E27-LD, etc) indicates independent biological replicas</li> <li><strong>SAM$</strong> is the meristem (technical replica)</li> <li><strong>T$</strong> indicates the time elapsed after the first image (in hours)</li> </ul> <p>For example <strong>qDII-CLV3-DR5-E27-LD-SAM7-T5.czi</strong> is an image of the 7th SAM of the set E27, acquired 5 hours after the first image.</p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4