Kiselev, Vladimir Yu.
I am leading the Cellular Genetics Informatics team. Our team provides efficient access to cutting-edge analysis methods, environments and pipelines for Cellular Genetics programme, which leads and is involved in a number of world-class research initiatives including the Human Cell Atlas, Human Induced Pluripotent Stem Cell Initiative and Human BioMolecular Atlas Program. We work with large amounts of single-cell RNA sequencing and microscopy imaging data. More information about our group is available in our Travel Guide.
Challenges in unsupervised clustering of single-cell RNA-seq data.
Nature reviews. Genetics 2019;20;5;273-282
Predicting the mutations generated by repair of Cas9-induced double-strand breaks.
Nature biotechnology 2018
scmap: projection of single-cell RNA-seq data across data sets.
Nature methods 2018;15;5;359-362
SC3: consensus clustering of single-cell RNA-seq data.
Nature methods 2017;14;5;483-486
PTEN Regulates PI(3,4)P2 Signaling Downstream of Class I PI3K.
Molecular cell 2017;68;3;566-580.e10
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