title: Uncovering RNA binding proteins associated with age and gender during liver maturation.
abstract: In the present study, we perform an association analysis focusing on the expression changes of 1344 RNA Binding proteins (RBPs) as a function of age and gender in human liver. We identify 88 and 45 RBPs to be significantly associated with age and gender respectively. Experimental verification of several of the predicted associations in mice confirmed our findings. Our results suggest that a small fraction of the gender-associated RBPs (~40%) are expressed higher in males than females. Altogether, these observations show that several of these RBPs are important and conserved regulators in maintaining liver function. Further analysis of the protein interaction network of RBPs associated with age and gender based on the centrality measures like degree, betweenness and closeness revealed that several of these RBPs might be prominent players in aging liver and impart gender specific alterations in gene expression via the formation of protein complexes. Indeed, both age and gender-associated RBPs in liver were found to show significantly higher clustering coefficients and network centrality measures compared to non-associated RBPs. The compendium of RBPs and this study will help us gain insight into the role of post-transcriptional regulatory molecules in aging and gender specific expression of genes.
authors.affiliation: Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 719 Indiana Ave Ste 319, Walker Plaza Building, Indianapolis, Indiana 46202.
authors.forename: Praneet
authors.initials: P
authors.lastname: Chaturvedi
authors.affiliation: Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 719 Indiana Ave Ste 319, Walker Plaza Building, Indianapolis, Indiana 46202.
authors.forename: Yaseswini
authors.initials: Y
authors.lastname: Neelamraju
authors.affiliation: Departments of Biochemistry and Medical Biochemistry, University of Illinois, Urbana-Champaign, Illinois 61801, USA.
authors.forename: Waqar
authors.initials: W
authors.lastname: Arif
authors.affiliation: Departments of Biochemistry and Medical Biochemistry, University of Illinois, Urbana-Champaign, Illinois 61801, USA.
authors.forename: Auinash
authors.initials: A
authors.lastname: Kalsotra
authors.affiliation: 1] Department of BioHealth Informatics, School of Informatics and Computing, Indiana University Purdue University, 719 Indiana Ave Ste 319, Walker Plaza Building, Indianapolis, Indiana 46202 [2] Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, 5021 Health Information and Translational Sciences (HITS), 410 West 10th Street, Indianapolis, Indiana, 46202 [3] Department of Medical and Molecular Genetics, Indiana University School of Medicine, Medical Research and Library Building, 975 West Walnut Street, Indianapolis, Indiana, 46202.
authors.forename: Sarath Chandra
authors.initials: SC
authors.lastname: Janga
mesh_terms: D000367:Age Factors; D000818:Animals; D016000:Cluster Analysis; D005260:Female; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D006801:Humans; D008099:Liver / Q000254:growth & development* / Q000378:metabolism*; D008297:Male; D051379:Mice; D025941:Protein Interaction Mapping; D060066:Protein Interaction Maps; D016601:RNA-Binding Proteins / Q000235:genetics*; D051381:Rats; D015203:Reproducibility of Results; D012737:Sex Factors; D059467:Transcriptome
chemical_list: D016601:RNA-Binding Proteins
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