<HashMap><database>bioimages</database><scores/><additional><omics_type>Unknown</omics_type><submitter/><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BIAD1013</full_dataset_link><repository>bioimages</repository><figure_sub>Specimen</figure_sub><figure_sub>Image analysis</figure_sub><figure_sub>Funding</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>William A. Weston</pubmed_authors><pubmed_authors>Maria Secrier</pubmed_authors><pubmed_authors>David M. Smith</pubmed_authors><pubmed_authors>Anna J. Wiecek</pubmed_authors><pubmed_authors>James Pilling</pubmed_authors><pubmed_authors>Lovisa Holmberg Schiavone</pubmed_authors><pubmed_authors>Jordan A. Holt</pubmed_authors><pubmed_authors>Alexis R. Barr</pubmed_authors></additional><is_claimable>false</is_claimable><name>An image-based screen for secreted proteins involved in breast cancer G0 cell cycle arrest</name><description>To identify novel secreted proteins that can modulate breast cancer G0 arrest, we performed a secretome-wide, image-based screen for proteins which alter the balance between proliferation and G0 arrest. From a secretome library of 1282 purified proteins, we identified 29 candidates that promote G0 arrest in non-transformed (hTERT-HMEC) and transformed (MCF7) breast epithelial cells. </description><dates><release>2024-02-13T00:00:00Z</release><modification>2024-02-12T10:41:17.874Z</modification><creation>2024-01-12T18:08:51.658Z</creation></dates><accession>S-BIAD1013</accession><cross_references/></HashMap>