Jüri Reimand

Summary

Affiliation: University of Toronto
Country: Canada

Publications

  1. pmc Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers
    Jüri Reimand
    The Donnelly Centre, University of Toronto, Toronto, Canada
    Mol Syst Biol 9:637. 2013
  2. doi request reprint Domain-mediated protein interaction prediction: From genome to network
    Jüri Reimand
    The Donnelly Centre, University of Toronto, 160 College Street, Toronto, Ontario, Canada
    FEBS Lett 586:2751-63. 2012
  3. pmc m:Explorer: multinomial regression models reveal positive and negative regulators of longevity in yeast quiescence
    Jüri Reimand
    EMBL European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK
    Genome Biol 13:R55. 2012
  4. pmc Comprehensive reanalysis of transcription factor knockout expression data in Saccharomyces cerevisiae reveals many new targets
    Jüri Reimand
    EMBL European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK
    Nucleic Acids Res 38:4768-77. 2010
  5. pmc Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance
    Richard Marcotte
    Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1L7, Canada
    Cell 164:293-309. 2016
  6. pmc Divergent clonal selection dominates medulloblastoma at recurrence
    A Sorana Morrissy
    Developmental and Stem Cell Biology Program, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
    Nature 529:351-7. 2016
  7. doi request reprint MIMP: predicting the impact of mutations on kinase-substrate phosphorylation
    Omar Wagih
    The Donnelly Centre, University of Toronto, Toronto, Canada
    Nat Methods 12:531-3. 2015
  8. pmc Evolutionary constraint and disease associations of post-translational modification sites in human genomes
    Jüri Reimand
    The Donnelly Centre, University of Toronto, Canada
    PLoS Genet 11:e1004919. 2015
  9. pmc g:Profiler-a web server for functional interpretation of gene lists (2016 update)
    Jüri Reimand
    Ontario Institute for Cancer Research, 661 University Avenue, Toronto, ON M5G 0A3, Canada Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada
    Nucleic Acids Res 44:W83-9. 2016
  10. pmc Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer
    Soumil Narayan
    The Donnelly Centre, University of Toronto, Toronto, Canada
    Genome Med 8:55. 2016

Detail Information

Publications13

  1. pmc Systematic analysis of somatic mutations in phosphorylation signaling predicts novel cancer drivers
    Jüri Reimand
    The Donnelly Centre, University of Toronto, Toronto, Canada
    Mol Syst Biol 9:637. 2013
    ..This study demonstrates new ways of interpreting cancer genomes and presents new leads for cancer research...
  2. doi request reprint Domain-mediated protein interaction prediction: From genome to network
    Jüri Reimand
    The Donnelly Centre, University of Toronto, 160 College Street, Toronto, Ontario, Canada
    FEBS Lett 586:2751-63. 2012
    ....
  3. pmc m:Explorer: multinomial regression models reveal positive and negative regulators of longevity in yeast quiescence
    Jüri Reimand
    EMBL European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK
    Genome Biol 13:R55. 2012
    ..m:Explorer (http://biit.cs.ut.ee/mexplorer/) is instrumental in interrogating eukaryotic regulatory systems using heterogeneous data...
  4. pmc Comprehensive reanalysis of transcription factor knockout expression data in Saccharomyces cerevisiae reveals many new targets
    Jüri Reimand
    EMBL European Bioinformatics Institute, Wellcome Trust Genome Campus, Cambridge, UK
    Nucleic Acids Res 38:4768-77. 2010
    ..compendium. The dataset is available from ArrayExpress (accession: E-MTAB-109) and it will be invaluable to any scientist interested in the yeast transcriptional regulatory system...
  5. pmc Functional Genomic Landscape of Human Breast Cancer Drivers, Vulnerabilities, and Resistance
    Richard Marcotte
    Princess Margaret Cancer Centre, University Health Network, Toronto, ON M5G 1L7, Canada
    Cell 164:293-309. 2016
    ..Finally, we demonstrate the utility of this large dataset by identifying BRD4 as a potential target in luminal breast cancer and PIK3CA mutations as a resistance determinant for BET-inhibitors...
  6. pmc Divergent clonal selection dominates medulloblastoma at recurrence
    A Sorana Morrissy
    Developmental and Stem Cell Biology Program, The Hospital for Sick Children, Toronto, Ontario M5G 0A4, Canada
    Nature 529:351-7. 2016
    ..Targeted therapy is unlikely to be effective in the absence of the target, therefore our results offer a simple, proximal, and remediable explanation for the failure of prior clinical trials of targeted therapy. ..
  7. doi request reprint MIMP: predicting the impact of mutations on kinase-substrate phosphorylation
    Omar Wagih
    The Donnelly Centre, University of Toronto, Toronto, Canada
    Nat Methods 12:531-3. 2015
    ..This helps discover mutations that modify protein function by altering kinase networks and provides insight into disease biology and therapy development. ..
  8. pmc Evolutionary constraint and disease associations of post-translational modification sites in human genomes
    Jüri Reimand
    The Donnelly Centre, University of Toronto, Canada
    PLoS Genet 11:e1004919. 2015
    ..Further, as PTMs are molecular switches that are modulated by drugs, we study mutated binding sites of PTM enzymes in disease genes and define a drug-disease network containing 413 novel predicted disease-gene links. ..
  9. pmc g:Profiler-a web server for functional interpretation of gene lists (2016 update)
    Jüri Reimand
    Ontario Institute for Cancer Research, 661 University Avenue, Toronto, ON M5G 0A3, Canada Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada
    Nucleic Acids Res 44:W83-9. 2016
    ..Besides the interactive web interface, g:Profiler can be accessed in computational pipelines using our R package, Python interface and BioJS component. g:Profiler is freely available at http://biit.cs.ut.ee/gprofiler/. ..
  10. pmc Frequent mutations in acetylation and ubiquitination sites suggest novel driver mechanisms of cancer
    Soumil Narayan
    The Donnelly Centre, University of Toronto, Toronto, Canada
    Genome Med 8:55. 2016
    ..We analyzed acetylation and ubiquitination, two important PTM types often involved in chromatin organization and protein degradation, to find proteins that are significantly affected by tumor somatic mutations...
  11. pmc The mutational landscape of phosphorylation signaling in cancer
    Jüri Reimand
    The Donnelly Centre, University of Toronto, Canada
    Sci Rep 3:2651. 2013
    ..This analysis shows that incorporation of information about protein signaling sites will improve computational pipelines for variant function prediction. ..
  12. pmc HyperModules: identifying clinically and phenotypically significant network modules with disease mutations for biomarker discovery
    Alvin Leung
    The Donnelly Centre, University of Toronto, 160 College Street, M5S 3E1 Toronto, Ontario, Canada
    Bioinformatics 30:2230-2. 2014
    ..HyperModules is a network search algorithm that finds frequently mutated gene modules with significant clinical or phenotypic signatures from biomolecular interaction networks...
  13. pmc Subgroup-specific structural variation across 1,000 medulloblastoma genomes
    Paul A Northcott
    Developmental and Stem Cell Biology Program, The Hospital for Sick Children, Toronto, Ontario M5G 1L7, Canada
    Nature 488:49-56. 2012
    ..Numerous targetable SCNAs, including recurrent events targeting TGF-β signalling in Group 3, and NF-κB signalling in Group 4, suggest future avenues for rational, targeted therapy...