Single-cell omics approaches now provide high-resolution measurements of different modalities of individual cells, including DNA, chromatin, gene expression and protein, and the spatial location of each cell in its tissue microenvironmental context. However, each technology has unique strengths and weaknesses and a key analytical challenge is to integrate these datasets to obtain deeper insights into cell phenotypes, function, and spatial organization.
In this talk I will introduce a novel method for single-cell multi-omics data integration. Our approach can be used for visualization as well as integration across single-cell transcriptomic, epigenomic, and spatially resolved datasets, and enables downstream joint analyses such as cluster label transfer, joint clustering, and trajectory inference.
Group Leader, Barts Cancer Institute, Queen Mary University of London
Mirjana did her PhD in Computational Biology in the lab of Prof Trajanoski at the Medical University of Innsbruck, Austria. For her postdoctoral research, she joined the Teichmann Lab (Wellcome Sanger Institute) where she co-led the development of the first human atlas of the maternal-fetal interface in early pregnancy using single cell transcriptomics. She also developed a cell-cell communication statistical framework CellPhoneDB (www.cellphonedb.org) for predicting enriched receptor-ligand pairs between the different cell types and inference of cellular communication networks.
In May 2020 Mirjana started her own lab at Barts Cancer Institute, Queen Mary University of London (UK) within the Centre for Cancer Genomics and Computational Biology. Her group focuses on understanding the cellular and molecular mechanisms that promote cancer cell plasticity and adaptation in the metastatic niche.
For more info: https://www.bartscancer.london/staff/dr-mirjana-efremova/