Data underlying the publication: Image-based phenotypic sorting of synthetic cells
DOI: 10.4121/60cdce27-5bd5-44ec-9d8f-53f2ef6b9d58
Datacite citation style
Dataset
Data underlying the publication: Van den Brink, M., Stam, M., Claassens, N.J. and Danelon, C. (2025) Image-based phenotypic sorting of synthetic cells. bioRxiv, 10.1101/2025.09.25.678515.
This dataset contains data collected during experiments as part of Marijn van den Brink's PhD project. The data was collected from 2022-2025.
The raw data consist of microscopy data, gel electrophoresis data, flow cytometry data, quantitative PCR data, DNA sequencing data. All data processing and analysis steps are described in detail in the Methods section of the publication.
The data are grouped in folders based on three levels. Primary, by the data type. Secondary, by the figure number in the publication. Tertiary, within each figure folder, data are divided into raw and processed subfolders. The publication figures are stored in a separate folder.
Large microscopy data collections (e.g., > 2 GB), generated during automated screening and photoactivation, are stored in separate folders, so they can be downloaded separately.
Code or other files used to process the raw data are stored in the "processed data" folders.
Generalized code for use and adaptation by others is stored in the folder "automated screening and photo activation scripts" and are also published on GitHub (https://github.com/DanelonLab).
History
- 2025-09-26 first online, published, posted
Publisher
4TU.ResearchDataFormat
spreadsheet/.xlsx; spreadsheet and figures/.pzfx; image/.nd2; image/.jpg; image/.tif; image/.scn; Nanopore sequencing reads/.fastq; aligned sequences/BAM; FACS data/.fcs; FACS data/.txt; qPCR data/.eds; DNA sequences/.dna; script/.ipynb; script/.py; script/.R; script/.bat; Nis-Elements JOB/.binAssociated peer-reviewed publication
Image-based phenotypic sorting of synthetic cellsReferences
Funding
- BaSyC – Building a Synthetic Cell Gravitation grant (grant code 024.003.019) NWO
- ANR grant (grant code ANR-22-CPJ2-0091-01) Agence Nationale de la Recherche
- Evolving life from non-life (EVOLF) (grant code SUMMIT.1.004) NWO
Organizations
TU Delft, Faculty of Applied Sciences, Department of BionanoscienceDATA
Files (14)
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data - agarose gel electrophoresis.zip - 8,140,889,706 bytesMD5:
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data - confocal microscopy - automated screening photoactivation - Fig2.zip - 11,383,183,623 bytesMD5:
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data - confocal microscopy - automated screening photoactivation - Fig3.zip - 6,115,357,938 bytesMD5:
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data - confocal microscopy - automated screening photoactivation - Fig4.zip - 5,953,087,536 bytesMD5:
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data - confocal microscopy - automated screening photoactivation - Fig5.zip - 3,105,698,700 bytesMD5:
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data - confocal microscopy.zip - 7,310,014 bytesMD5:
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data - DNA sequencing.zip - 779,032,406 bytesMD5:
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data - FACS.zip - 19,766,447 bytesMD5:
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data - qPCR.zip - 972,238,571 bytesMD5:
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data - YOLO training and testing.zip - 6,847,983 bytesMD5:
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DNA sequence maps.zip - 166,318,087 bytesMD5:
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figures.zip - 534,476 bytesMD5:
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general automated screening and photoactivation scripts.zip -
download all files (zip)
36,657,476,532 bytes unzipped