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Data underlying the publication: Imaging Flow Cytometry for High-Throughput Phenotyping of Synthetic Cells

Restrepo Sierra, Ana María ; Godino, Elisa ; Danelon, Christophe

4TU.ResearchData 2023

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  • Título:
    Data underlying the publication: Imaging Flow Cytometry for High-Throughput Phenotyping of Synthetic Cells
  • Autor: Restrepo Sierra, Ana María ; Godino, Elisa ; Danelon, Christophe
  • Assuntos: Biochemistry and Cell Biology ; Biological Sciences ; Flow Cytometry ; FOS: Biological sciences ; Gene-expression ; Imaging Flow Cytometry ; Synthetic cells
  • Notas: 10.1021/acssynbio.3c00074
    RelationTypeNote: IsSupplementTo -- 10.1021/acssynbio.3c00074
  • Descrição: Data underlying the publication: 1. Godino, E., Restrepo Sierra, A. M. & Danelon, C. Imaging Flow Cytometry for High-Throughput Phenotyping of Synthetic Cells. ACS Synth. Biol. 12, 2015–2028 (2023).The hereby provided research was designed and performed as part of the synthetic biology and BaSyc (NL) consortium efforts to build a synthetic cell from the bottom up. The provided dataset is fraction (100K) of a bigger data set from gene-expressing synthetic vesicles. The data was recorded with The Cytek® Amnis® ImageStream®X Mk II, and analyzed using the IDEAS image analysis software as indicated in the above mentioned publication. Each of the provided files contains the pipeline used for the analysis of the data and can be used as templates for a new analysis. The names of the files indicate the phenotype that was being analyzed, and the figure in the manuscript to which the data belongs to.
  • Editor: 4TU.ResearchData
  • Data de criação/publicação: 2023
  • Idioma: Inglês

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