Dataset Open Access
Krause, Melanie;
Yakimovich, Artur;
Vágó, Noemi;
Drexler, Ingo;
Mercer, Jason
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<subfield code="x">Granularity screening identifies candidate genes involved in vaccinia virus induced LC3 lipidation Melanie Krause, Artur Yakimovich, Noemi Vágó, Ingo Drexler, Jason Mercer bioRxiv (2026) DOI: 10.64898/2026.03.26.714436</subfield>
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<subfield code="a"><p>This repository contains the analysis pipeline, quantitative cytometry measurements, and experimental plate layouts associated with the study:</p>
<blockquote>
<p><strong>Granularity screening identifies candidate genes involved in vaccinia virus induced LC3 lipidation</strong><br>
Melanie Krause, Artur Yakimovich, Noemi V&aacute;g&oacute;, Ingo Drexler, Jason Mercer<br>
bioRxiv (2026)<br>
DOI: <a href="https://doi.org/10.64898/2026.03.26.714436">10.64898/2026.03.26.714436</a></p>
</blockquote>
<p><strong>Overview</strong></p>
<p>The deposited data were generated as part of an image-based screening approach designed to identify candidate vaccinia virus (VACV) genes that affect LC3 lipidation. The screening uses <strong>LC3 granularity</strong> as a quantitative imaging phenotype.</p>
<p>This deposition contains:</p>
<ul>
<li>
<p>the image-analysis pipeline used for the screening;</p>
</li>
<li>
<p>quantitative single-cell measurements generated from the screening plates; and</p>
</li>
<li>
<p>the corresponding experimental plate layouts.</p>
</li>
</ul>
<p>The data are provided to facilitate reproducibility and reuse of the quantitative screening results reported in the associated preprint.</p>
<p><strong>Contents</strong></p>
<p><em>File | Size | Description</em></p>
<p><code>LC3_screen_pipeline.cpproj |&nbsp;</code>1.8 MB&nbsp; | Image-analysis pipeline/project used to process the LC3 screening data.</p>
<p><code>plate1_full_cyt.csv|&nbsp;</code>15.1 MB&nbsp;<code>|&nbsp;</code>Quantitative single-cell cytometry measurements for screening plate 1.</p>
<p><code>plate2_full_cyt.csv|&nbsp;</code>17.6 MB&nbsp;<code>|&nbsp;</code>Quantitative single-cell cytometry measurements for screening plate 2.</p>
<p><code>plate3_full_cyt.csv|&nbsp;</code>18.2 MB&nbsp;<code>|&nbsp;</code>Quantitative single-cell cytometry measurements for screening plate 3.</p>
<p><code>plate4_full_cyt.csv|&nbsp;</code>15.9 MB&nbsp;<code>|&nbsp;</code>Quantitative single-cell cytometry measurements for screening plate 4.</p>
<p><code>plate5_full_cyt.csv|&nbsp;</code>17.2 MB&nbsp;<code>|&nbsp;</code>Quantitative single-cell cytometry measurements for screening plate 5.</p>
<p><code>plate6_full_cyt.csv|&nbsp;</code>17.9 MB&nbsp;<code>|&nbsp;</code>Quantitative single-cell cytometry measurements for screening plate 6.</p>
<p><code>Screening_Plate_Layout_1_1-40.xlsx |&nbsp;</code>9 KB&nbsp; | Experimental layout for screening plate 1.</p>
<p><code>Screening_Plate_Layout_2_2-40.xlsx |&nbsp;</code>9 KB&nbsp;<code>|&nbsp;</code>Experimental layout for screening plate 2.</p>
<p><code>Screening_Plate_Layout_3_3-40.xlsx |&nbsp;</code>9 KB&nbsp;<code>|&nbsp;</code>Experimental layout for screening plate 3.</p>
<p><code>Screening_Plate_Layout_4_1-40.xlsx |&nbsp;</code>9 KB <code>|&nbsp;</code>Experimental layout for screening plate 4.</p>
<p><code>Screening_Plate_Layout_5_2-40.xlsx |&nbsp;</code>9 KB <code>|&nbsp;</code>Experimental layout for screening plate 5.</p>
<p><code>Screening_Plate_Layout_6_3-40.xlsx |&nbsp;</code>9 KB&nbsp;<code>|&nbsp;</code>Experimental layout for screening plate 6.</p>
<p><strong>File descriptions</strong></p>
<p>Image-analysis pipeline</p>
<p><code>LC3_screen_pipeline.cpproj</code></p>
<p>This file contains the CellProfiler image-analysis project used to process the screening images and extract quantitative cellular measurements. The project is provided to document the image-processing and measurement workflow used to generate the deposited quantitative data.</p>
<p><em>Quantitative measurements</em></p>
<p>The files</p>
<ul>
<li>
<p><code>plate1_full_cyt.csv</code></p>
</li>
<li>
<p><code>plate2_full_cyt.csv</code></p>
</li>
<li>
<p><code>plate3_full_cyt.csv</code></p>
</li>
<li>
<p><code>plate4_full_cyt.csv</code></p>
</li>
<li>
<p><code>plate5_full_cyt.csv</code></p>
</li>
<li>
<p><code>plate6_full_cyt.csv</code></p>
</li>
</ul>
<p>contain the quantitative measurements generated for individual cells from the six screening plates.</p>
<p>The CSV files are intended to provide the underlying single-cell measurements used for downstream analysis of the LC3 granularity phenotype. Each file corresponds to one screening plate.</p>
<p>The measurements are provided in tabular CSV format to facilitate analysis using standard data-analysis tools such as Python, R, MATLAB, or spreadsheet software.</p>
<p><em>Screening plate layouts</em></p>
<p>The six Excel files contain the corresponding experimental layouts for the screening plates:</p>
<ul>
<li>
<p><code>Screening_Plate_Layout_1_1-40.xlsx</code></p>
</li>
<li>
<p><code>Screening_Plate_Layout_2_2-40.xlsx</code></p>
</li>
<li>
<p><code>Screening_Plate_Layout_3_3-40.xlsx</code></p>
</li>
<li>
<p><code>Screening_Plate_Layout_4_1-40.xlsx</code></p>
</li>
<li>
<p><code>Screening_Plate_Layout_5_2-40.xlsx</code></p>
</li>
<li>
<p><code>Screening_Plate_Layout_6_3-40.xlsx</code></p>
</li>
</ul>
<p>These files provide the mapping between experimental conditions and positions on the respective screening plates and should be used together with the corresponding quantitative measurement files.</p>
<p><strong>Relationship between files</strong></p>
<p>The deposited files can be considered in three complementary layers:</p>
<ol>
<li>
<p><strong>Plate layouts (<code>.xlsx</code>)</strong><br>
Define the experimental organization and contents of each screening plate.</p>
</li>
<li>
<p><strong>Image-analysis pipeline (<code>.cpproj</code>)</strong><br>
Documents the image-processing and quantitative measurement workflow.</p>
</li>
<li>
<p><strong>Quantitative measurements (<code>.csv</code>)</strong><br>
Contain the resulting single-cell measurements for each screening plate.</p>
</li>
</ol>
<p>Together, these files provide the experimental metadata, analysis workflow, and quantitative output required to reproduce or further analyze the screening results.</p>
<p>Data organization</p>
<p>Each screening plate has one corresponding quantitative measurement file:</p>
<pre><code>Plate 1 → plate1_full_cyt.csv
Plate 2 → plate2_full_cyt.csv
Plate 3 → plate3_full_cyt.csv
Plate 4 → plate4_full_cyt.csv
Plate 5 → plate5_full_cyt.csv
Plate 6 → plate6_full_cyt.csv
</code></pre>
<p>The corresponding Excel plate-layout files provide the experimental context for each plate.</p>
<p>&#39;LC3_Screen_Information.xlsx&#39; contain VACV gene keys.</p>
<p><strong>Intended use</strong></p>
<p>The deposited data may be used to:</p>
<ul>
<li>
<p>reproduce the quantitative analyses reported in the associated study;</p>
</li>
<li>
<p>inspect the distribution of single-cell LC3-related measurements;</p>
</li>
<li>
<p>perform alternative or extended analyses of the screening data;</p>
</li>
<li>
<p>develop or benchmark computational methods for quantitative image-based screening; and</p>
</li>
<li>
<p>investigate candidate VACV genes associated with changes in LC3 granularity.</p>
</li>
</ul>
<p><strong>Citation</strong></p>
<p>If you use these data, please cite the associated preprint:</p>
<p><strong>Krause M, Yakimovich A, V&aacute;g&oacute; N, Drexler I, Mercer J.</strong><br>
<em>Granularity screening identifies candidate genes involved in vaccinia virus induced LC3 lipidation.</em><br>
bioRxiv, 2026.<br>
<a href="https://doi.org/10.64898/2026.03.26.714436">https://doi.org/10.64898/2026.03.26.714436</a></p>
<p><strong>Data provenance</strong></p>
<p>These data were generated as part of the experiments described in the associated preprint. The deposition contains the analysis project, quantitative measurements, and experimental plate layouts used in the study.</p>
<p>For methodological details, experimental procedures, and interpretation of the screening results, please refer to the associated publication.</p>
<p><strong>Contact</strong></p>
<p>For questions regarding the dataset or analysis pipeline, please contact the corresponding authors of the associated study.</p></subfield>
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