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Insights from Chromosome-Centric Mapping of Disease-Associated Genes: Chromosome 12 Perspective.
Jayaram, Savita; Gupta, Manoj Kumar; Shivakumar, Bhadravathi Marigowda; Ghatge, Madankumar; Sharma, Ankit; Vangala, Rajani Kanth; Sirdeshmukh, Ravi.
Affiliation
  • Jayaram S; Institute of Bioinformatics , International Tech Park, Bangalore-560066, India.
  • Gupta MK; Manipal University , Madhav Nagar, Manipal-576104, India.
  • Shivakumar BM; Institute of Bioinformatics , International Tech Park, Bangalore-560066, India.
  • Ghatge M; Manipal University , Madhav Nagar, Manipal-576104, India.
  • Sharma A; Mazumdar Shaw Centre for Translational Research, Mazumdar Shaw Medical Foundation, Narayana Health , Bangalore-560099, India.
  • Vangala RK; Manipal University , Madhav Nagar, Manipal-576104, India.
  • Sirdeshmukh R; Thrombosis Research Institute, Narayana Health , Bangalore-560099, India.
J Proteome Res ; 14(9): 3432-40, 2015 Sep 04.
Article in En | MEDLINE | ID: mdl-26143930
ABSTRACT
In line with the aims of the Chromosome-based Human Proteome Project and the Biology/Disease-based Human Proteome Project, we have been studying differentially expressed transcripts and proteins in gliomas­the most prevalent primary brain tumors. Here, we present a perspective on important insights from this analysis in terms of their co-expression, co-regulation/de-regulation, and co-localization on chromosome 12 (Chr. 12). We observe the following (1) Over-expression of genes mapping onto amplicon regions of chromosomes may be considered as a biological validation of mass spectrometry data. (2) Their co-localization further suggests common determinants of co-expression and co-regulation of these clusters. (3) Co-localization of "missing" protein genes of Chr. 12 in close proximity to functionally related genes may help in predicting their functions. (4) Further, integrating differentially expressed gene-protein sets and their ontologies with medical terms associated with clinical phenotypes in a chromosome-centric manner reveals a network of genes, diseases, and pathways­a diseasome network. Thus, chromosomal mapping of disease data sets can help uncover important regulatory and functional links that may offer new insights for biomarker development.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromosomes, Human, Pair 12 / Chromosome Mapping / Genetic Predisposition to Disease Type of study: Risk_factors_studies Limits: Humans Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2015 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Chromosomes, Human, Pair 12 / Chromosome Mapping / Genetic Predisposition to Disease Type of study: Risk_factors_studies Limits: Humans Language: En Journal: J Proteome Res Journal subject: BIOQUIMICA Year: 2015 Document type: Article Affiliation country: