The Endocytic Compartment Morphology dataset includes images from high-throughput screens of yeast single-gene mutants combined with single cell analysis of subcellular, endocytic compartment morphology, obtained using neural networks, as described in Mattiazzi Usaj et al. (Mattiazzi Usaj et al. 2020). Endocytic Compartment Morphology images are single-channel maximum z-projections acquired via confocal microscopy, depicting the subcellular morphology of 4 endocytic markers in 5,628 yeast mutant strains (corresponding to 5,267 S. cerevisiae ORFs). The screened mutant strains include non-essential gene deletion strains, and strains with temperature-sensitive alleles of essential genes. All temperature-sensitive strains were screened at two temperatures (26° and 37°). The identification of significant morphology mutants only included temperature-sensitive strains screened at the non-permissive temperature (37°). However, all screens done at the permissive temperature (26°) are included in TheCellVision.org together with micrographs, and results from penetrance and phenotype analyses.
Actin patch (Sac6)
Cortical patch (Sla1)
Late endosome (Snf7)
Vacuole (Vph1)