Whole-tissue deconvolution and scRNAseq analysis identify altered endometrial cellular compositions and functionality associated with endometriosis

This project is a companion to a study that carefully applies cell type deconvolution analysis to publicly available eutopic endometrial tissue transcriptional profiles. In addition to applying the xCell algorithm to this microarray data, we also describe and apply methods for assessing how well the standard signatures of the xCell algorithm, which were built on non-endometrial samples, might match with actual cognate cell type signatures of the target endometrial tissue. This project is currently under construction as data details are reviewed and finalized and while the manuscript for this study is under review. Preliminary citation: Daniel G. Bunis*, Wanxin Wang*, Júlia Vallvé-Juanico, Sahar Houshdaran, Sushmita Sen, Isam Ben Soltane, Idit Kosti, Kim Chi Vo, Juan Irwin, Linda C. Giudice, Marina Sirota. "Whole-tissue deconvolution and scRNAseq analysis identify altered endometrial cellular compositions and functionality associated with endometriosis", In Press, 2021.