Mapping spatial organization and genetic cell state regulators to target immune evasion in ovarian cancer

<p>This collection of data accompanies the study: <a href="https://www.nature.com/articles/s41590-024-01943-5">Yeh, Aguirre, Laveroni&nbsp;<em>et al.</em> <strong>Mapping spatial organization and genetic cell-state regulators to target immune evasion in ovarian cancer.&nbsp;</strong>(2024). </a><em><strong><a href="https://www.nature.com/articles/s41590-024-01943-5">Nature Immunology</a>.</strong></em>&nbsp; Files are provided in the form of RObjects (extension .rds) or tabulated data (extension .csv) to reproduce the results and figures provided in the paper via the the R programming environment using Code provided <a href="https://github.com/Jerby-Lab/HGSC_SpatialPerturbational">here</a>.&nbsp;</p> <p>&nbsp;</p> <p>Data collected and processed and published as a part of this study of tubo-ovarian high grade serous carcinoma (HGSC) includes:&nbsp;</p> <ul> <li>~<strong>2.5 million single cell spatial transcriptomics profiles</strong> from <strong>130 HGSC tumors</strong> of <strong>94 patients</strong></li> <li>Matching de-identified <strong>clinical annotations</strong> and clinical outcomes.</li> <li>Matching <strong>targeted genomic data</strong> from the bulk tumor tissues.</li> <li><strong>Perturb-seq CRISPR knockout</strong> data in ovarian cancer cells in monoculture and co-culture with Natural Killer (NK) cells.</li> </ul> <p>The spatial transcriptomics, Perturb-Seq, and matched H&amp;E (Hematoxylin &amp; Eosin, where available) are also provided via the Single Cell Portal with an <strong>interactive interface</strong> (<a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2640/hgsc-spatial-cohort-discovery-dataset">SCP2640</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2641/hgsc-spatial-cohort-validation-1-dataset">SCP2641</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2650/hgsc-spatial-cohort-validation-2-dataset">SCP2650</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2644/hgsc-spatial-cohort-test-1-dataset">SCP2644</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2646/hgsc-spatial-cohort-test-2-dataset">SCP2646</a>, <a href="https://singlecell.broadinstitute.org/single_cell/study/SCP2707/hgsc-spatial-study-perturb-seq">SCP2707</a>).</p> <p>The collection also includes previously published data that was analyzed and used in this study to examine the generalizability of the findings, evaluate immunotherapy predictors, and for data-driven experimental design.</p> <p>The SeuratObj.zip contains six SeuratObjects matching the five spatial transcriptomcs datasets (Discovery, Validation 1, Validation 2, Test 1 and Test 2) and Perturb-Seq data.</p> <p>The Yeh2024.zip file includes the study's data and additional datasets/results to reproduce the study's figures.&nbsp;A detailed description of the files included in the repository is provided in `README.txt` and `README.xlsx`</p>