Vitalii Kleshchevnikov
PhD fellow
I study how regulatory states and tissue context define cell identity, using large-scale genomics data & bayesian modelling.
I study how regulatory states and tissue context define cell identity, with the aim to more comprehensively understand the development of the human cerebral cortex, and to investigate the re-use of regulatory programmes and transcription factor logic across human tissues. To this end, we are using large-scale genomics data & bayesian modelling – the work in done in collaboration with multiple groups across the institute.
My timeline
PhD @ Wellcome Sanger Institute & University of Cambridge
Visiting Scientist @ Parts group, Wellcome Sanger Institute
Intern @ Petsalaki group, European Bioinformatics Institute
MSc @ Taras Shevchenko National University of Kyiv
Intern @ Colin Stewart lab, Institute of Medical Biology, A*STAR
BUSS Summer School @ University of Zurich & ETH Zurich
BSc @ Taras Shevchenko National University of Kyiv
My publications
Overview of the spatial mapping approach and the workflow which are enabled by cell2location. From left to right: Single-cell RNA-seq and spatial transcriptomics profiles are generated from the same tissue (1). Cell2location takes reference cell type signatures derived from scRNA-seq and spatial transcriptomics data as input (2, 3). The model then decomposes spatially resolved multi-cell RNA counts matrices into the reference signatures, thereby establishing a spatial mapping of cell types (4).
