Vladimir Yu. Kiselev
Currently I work on statistical method development for single-cell RNA-Seq data. Before I have worked on modelling and analysis of PIP3 signalling pathway, looking at lipid-protein diffusion mechanisms (Monte-Carlo simulations), expression (RNA-Seq) of pathway-related genes and also modelling the pathway kinetically using Systems Biology approach (COPASI).
SC3: consensus clustering of single-cell RNA-seq data.
Nature methods 2017;14;5;483-486
Tia1 dependent regulation of mRNA subcellular location and translation controls p53 expression in B cells.
Nature communications 2017;8;1;530
Proliferation Drives Aging-Related Functional Decline in a Subpopulation of the Hematopoietic Stem Cell Compartment.
Cell reports 2017;19;8;1503-1511
Perturbations of PIP3 signalling trigger a global remodelling of mRNA landscape and reveal a transcriptional feedback loop.
Nucleic acids research 2015;43;20;9663-79
Lateral dynamics of charged lipids and peripheral proteins in spatially heterogeneous membranes: comparison of continuous and Monte Carlo approaches.
The Journal of chemical physics 2011;135;15;155103
Lateral dynamics of proteins with polybasic domain on anionic membranes: a dynamic Monte-Carlo study.
Biophysical journal 2011;100;5;1261-70