Pang-Ning Teng, Joshua P Schaaf, Tamara Abulez, Brian L Hood, Katlin N Wilson, Tracy J Litzi, David Mitchell, Kelly A Conrads, Allison L Hunt, Victoria Olowu, Julie Oliver, Fred S Park, Marshé Edwards, AiChun Chiang, Matthew D Wilkerson, Praveen-Kumar Raj-Kumar, Christopher M Tarney, Kathleen M Darcy, Neil T Phippen, G Larry Maxwell, Thomas P Conrads, Nicholas W Bateman
Numerous multi-omic investigations of cancer tissue have documented varying and poor pairwise transcript:protein quantitative correlations, and most deconvolution tools aiming to predict cell type proportions (cell admixture) have been developed and credentialed using transcript-level data alone. To estimate cell admixture using protein abundance data, we analyzed proteome and transcriptome data generated from contrived admixtures of tumor, stroma, and immune cell models or those selectively harvested from the tissue microenvironment by laser microdissection from high grade serous ovarian cancer (HGSOC) tumors...
March 15, 2024: IScience