PCNA and cell cycle - single-cell features

Data in the paper "Cellular state landscape and herpes simplex virus type 1 infection progression are connected" by Pietilä et al., 2023:
- Single-cell nuclear mean intensity of PCNA and cellular mean and sum intensities of ICP4 and ICP27 in HeLa, A549 and BJ cells as well as cell size and cell-cycle classification
- A549_PCNA_ICP27.csv (Supplementary Figure 4a, 4d, 5b, and 5d)
- A549_PCNA_ICP4.csv (Supplementary Figure 5b,d)
- BJ_PCNA_ICP27.csv (Supplementary Figure 4a,e)
- HeLa_secondReplicate_PCNA_ICP27.csv (Supplementary Figure 4a, 4c, 5a, and 5c)
- HeLa_secondReplicate_PCNA_ICP4.csv (Supplementary Figure 5a,c)

Cells were infected with HSV-1, and after fixation markers were detected by immunofluorescence imaging. Cells from HSV-1-infected wells were classified into uninfected and infected cells (indicated by “classification_infection”) as described in the paper. Single-cell features are provided as normalised background-subtracted mean or sum intensity values for the nucleus or cell. Data cleanup, background subtraction and normalisation of the intensity values were applied as described in the paper. Experimental conditions are in triplicate (indicated by “well_name”).