Dr Vladimir Yu. Kiselev | Staff Scientist

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).


scmap - a tool for unsupervised projection of single cell RNA-seq data
scRNA-seq datasets
Analysis of scRNA-seq data
SC3 - Single-Cell Consensus Clustering of scRNA-Seq data


  • SC3: consensus clustering of single-cell RNA-seq data.

    Kiselev VY, Kirschner K, Schaub MT, Andrews T, Yiu A et al.

    Nature methods 2017;14;5;483-486

  • PTEN Regulates PI(3,4)P2 Signaling Downstream of Class I PI3K.

    Malek M, Kielkowska A, Chessa T, Anderson KE, Barneda D et al.

    Molecular cell 2017;68;3;566-580.e10

  • Tia1 dependent regulation of mRNA subcellular location and translation controls p53 expression in B cells.

    Díaz-Muñoz MD, Kiselev VY, Le Novère N, Curk T, Ule J and Turner M

    Nature communications 2017;8;1;530

  • Proliferation Drives Aging-Related Functional Decline in a Subpopulation of the Hematopoietic Stem Cell Compartment.

    Kirschner K, Chandra T, Kiselev V, Flores-Santa Cruz D, Macaulay IC et al.

    Cell reports 2017;19;8;1503-1511

  • Perturbations of PIP3 signalling trigger a global remodelling of mRNA landscape and reveal a transcriptional feedback loop.

    Kiselev VY, Juvin V, Malek M, Luscombe N, Hawkins P et al.

    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.

    Kiselev VY, Leda M, Lobanov AI, Marenduzzo D and Goryachev AB

    The Journal of chemical physics 2011;135;15;155103

  • Lateral dynamics of proteins with polybasic domain on anionic membranes: a dynamic Monte-Carlo study.

    Kiselev VY, Marenduzzo D and Goryachev AB

    Biophysical journal 2011;100;5;1261-70

Career/Research Highlights

Vladimir Yu. Kiselev
Vladimir's Timeline

PostDoc in statistical method development for scRNA-Seq data, Sanger Institute


PostDoc in Systems Biology and Bioinformatics, European Bioinformatics Institute & Babraham Institute


PhD in Cell Biology, University of Edinburgh


MS in Applied Physics and Mathematics, Moscow Institute of Physics and Technology


BS in Applied Physics and Mathematics, Moscow Institute of Physics and Technology


Physico-Technical Lyceum 1, Saratov, Russia


Gymnasium 4, Saratov, Russia


Back in the USSR