<HashMap><database>bioimages</database><scores/><additional><omics_type>Unknown</omics_type><submitter/><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-BIAD1344</full_dataset_link><repository>bioimages</repository><figure_sub>Specimen</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>In Hwa Um</pubmed_authors><pubmed_authors>Raffaele De Philippis</pubmed_authors><pubmed_authors>Grant D. Stewart</pubmed_authors><pubmed_authors>Georg Wölflein</pubmed_authors><pubmed_authors>Alex Laird</pubmed_authors><pubmed_authors>David J. Harrison</pubmed_authors></additional><is_claimable>false</is_claimable><name>Multiplex Immunofluorescent Whole Slide Images of Renal Cancer</name><description>The dataset is composed of 98 whole slide images (WSIs) of renal cell carcinoma, a type of kidney cancer. These WSIs are multiplex immunofluorescent (mIF) images. They have been labeled using tow distinct panels of protein markers to allow simultaneous visualisation of multiple targets withing the same tissue sample.
Panel 1 includes markers TIM-3, PD1, PD-L1, and CD8 with a DNA counterstain (Hoechst). These markers are often associated with immune response and are crucial in understanding how the immune system interacts with cancer cells. Panel 2 includes OCT4a, ZEB1, Snail, and CD44, also combined with Hoechst for DNA visualisation. These markers are particularly important because they are linked to cancer stem cells (CSC) and the epithelial-to-mesenchymal transition (EMT), processes tha</description><dates><release>2024-08-29T00:00:00Z</release><modification>2024-08-29T07:03:10.122Z</modification><creation>2024-08-28T15:55:54.701Z</creation></dates><accession>S-BIAD1344</accession><cross_references/></HashMap>