Project description:Identifying biologically relevant signals from single-cell omics data to ultimately promote precision medicine is one current grant challenge. To address this challenge, we focused on triple-negative breast cancer (TNBC), integrated bulk and single-cell RNA-seq data from a large global population, and identified subpopulation identities that were able to provide responsive trajectories upon treatment. As a proof of principle, we applied our computational frame work on a TNBC organoid treated with two epigenetic drugs, JQ1 and MS177. We used this model to highlight how different components within the tumor responded molecularly differently to drug treatment.
Project description:To investigate the heterogeneity during the neuroepithelial stage of organoid development, we performed a multiome experiment on day 15-18 old brain organoids
Project description:To study the effect of GLI3 knockout on early brain organoid development, we collected single-cell multiome data from 18 day old brain organoids
Project description:Using Multiome and previously published sc/snRNA-seq data, we studied eight anatomical regions of the human heart including left and right ventricular free walls (LV and RV), left and right atria (LA and RA), left ventricular apex (AX), interventricular septum (SP), sino-atrial node (SAN) and atrioventricular node (AVN). For the first time, we profile the cells of the human cardiac conduction system, revealing their distinctive repertoire of ion channels, G-protein coupled receptors and cell-cell interactions. We map the identified cells to spatial transcriptomic data to discover cellular niches within the eight regions of the heart.
Project description:Using Multiome and previously published sc/snRNA-seq data, we studied eight anatomical regions of the human heart including left and right ventricular free walls (LV and RV), left and right atria (LA and RA), left ventricular apex (AX), interventricular septum (SP), sino-atrial node (SAN) and atrioventricular node (AVN). For the first time, we profile the cells of the human cardiac conduction system, revealing their distinctive repertoire of ion channels, G-protein coupled receptors and cell-cell interactions. We map the identified cells to spatial transcriptomic data to discover cellular niches within the eight regions of the heart.