<HashMap><database>bioimages</database><scores/><additional><omics_type>Unknown</omics_type><submitter/><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BIAD848</full_dataset_link><repository>bioimages</repository><additional_accession>https://doi.org/10.17867/10000105</additional_accession><figure_sub>Specimen</figure_sub><figure_sub>Image analysis</figure_sub><figure_sub>Study Component</figure_sub><figure_sub>organisation</figure_sub><figure_sub>Biosample</figure_sub><figure_sub>Associations</figure_sub><figure_sub>Image acquisition</figure_sub><pubmed_authors>Image Data Resource (IDR)</pubmed_authors></additional><is_claimable>false</is_claimable><name>Systematic morphological profiling of human gene and allele function via Cell Painting (OME-NGFF)</name><description>OME-NGFF converted study from idr0033.  We hypothesized that human genes and disease-associated alleles might be systematically functionally annotated using morphological profiling of cDNA constructs, via a microscopy-based Cell Painting assay. Indeed, 50% of the 220 tested genes yielded detectable morphological profiles, which grouped into biologically meaningful gene clusters consistent with known functional annotation (e.g., the RAS-RAF-MEK-ERK cascade). We used novel subpopulation-based visualization methods to interpret the morphological changes for specific clusters. This unbiased morphologic map of gene function revealed TRAF2/c-REL negative regulation of YAP1/WWTR1-responsive pathways. We confirmed this discovery of functional connectivity between the NF-kB pathway and Hippo pathwa</description><dates><release>2023-08-15T00:00:00Z</release><modification>2023-08-21T07:36:04.488Z</modification><creation>2023-08-15T16:44:47.582Z</creation></dates><accession>S-BIAD848</accession><cross_references/></HashMap>