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Chromosome-wise Protein Interaction Patterns and Their Impact on Functional Implications of Large-Scale Genomic Aberrations.
Kirk, Isa Kristina; Weinhold, Nils; Belling, Kirstine; Skakkebæk, Niels Erik; Jensen, Thomas Skøt; Leffers, Henrik; Juul, Anders; Brunak, Søren.
Afiliação
  • Kirk IK; Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
  • Weinhold N; Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark; Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
  • Belling K; Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark.
  • Skakkebæk NE; Department of Growth and Reproduction, Rigshospitalet and University of Copenhagen, 2100 Copenhagen, Denmark.
  • Jensen TS; Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark.
  • Leffers H; Department of Growth and Reproduction, Rigshospitalet and University of Copenhagen, 2100 Copenhagen, Denmark.
  • Juul A; Department of Growth and Reproduction, Rigshospitalet and University of Copenhagen, 2100 Copenhagen, Denmark.
  • Brunak S; Department of Systems Biology, Center for Biological Sequence Analysis, Technical University of Denmark, 2800 Lyngby, Denmark; Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark. Electronic address: soren.br
Cell Syst ; 4(3): 357-364.e3, 2017 03 22.
Article em En | MEDLINE | ID: mdl-28215527
ABSTRACT
Gene copy-number changes influence phenotypes through gene-dosage alteration and subsequent changes of protein complex stoichiometry. Human trisomies where gene copy numbers are increased uniformly over entire chromosomes provide generic cases for studying these relationships. In most trisomies, gene and protein level alterations have fatal consequences. We used genome-wide protein-protein interaction data to identify chromosome-specific patterns of protein interactions. We found that some chromosomes encode proteins that interact infrequently with each other, chromosome 21 in particular. We combined the protein interaction data with transcriptome data from human brain tissue to investigate how this pattern of global interactions may affect cellular function. We identified highly connected proteins that also had coordinated gene expression. These proteins were associated with important neurological functions affecting the characteristic phenotypes for Down syndrome and have previously been validated in mouse knockout experiments. Our approach is general and applicable to other gene-dosage changes, such as arm-level amplifications in cancer.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Trissomia / Cromossomos / Mapeamento de Interação de Proteínas Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Trissomia / Cromossomos / Mapeamento de Interação de Proteínas Idioma: En Ano de publicação: 2017 Tipo de documento: Article