Dataset Open Access
Krause, Melanie;
Yakimovich, Artur;
Vágó, Noemi;
Drexler, Ingo;
Mercer, Jason
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<dct:title>VACV LC3 lipidation Screen Dataset</dct:title>
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<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2026</dct:issued>
<dcat:keyword>vaccinia virus</dcat:keyword>
<dcat:keyword>high-content screening</dcat:keyword>
<dcat:keyword>autophagy</dcat:keyword>
<dcat:keyword>granularity</dcat:keyword>
<dcat:keyword>single-cell analysis</dcat:keyword>
<dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2026-09-08</dct:issued>
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<dct:description><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></dct:description>
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