Genome sequencing opened the flood gate of "-omics" studies,among which the research about correlations between genomic and phenomic variables is an important part. With the development of functional genomics and systems biology,genome-wide investigation of the correlations between many genomic and phenomic variables became possible. In this review,five genomic variables,such as evolution rate(or "age" of the gene) ,the length of intron and ORF(protein length) in one gene,the biases of amino acid composition and codon usage,along with the phenomic variables related to expression patterns(level and breadth) are focused on. In most cases,genes with higher mRNA/protein expression level tend to evolve slowly,have less intronic DNA,code for smaller proteins,and have higher biases of amino acid composition and codon usage. In addition,broadly expressed proteins evolve more slowly and are shorter than tissue-specific proteins. Studies in this field are helpful for deeper understanding the signatures of selection mediated by the features of gene expression and are of great significance to enrich the evolution theory.
Dong Yang,Ying Jiang,Fuchu He State Key Laboratory of Proteomics,Beijing Proteome Research Center,Beijing Institute of Radiation Medicine,Beijing 102206,China
A non-invasive diagnostic approach is crucial for the evaluation of severity of liver disease,treatment decisions,and assessing drug efficacy.This study evaluated plasma proteomic profiling via an N-terminal isotope tagging strategy coupled with liquid chromatography/Fourier transform ion cyclotron resonance mass spectrometry measurement to detect liver fibrosis staging.Pooled plasma from different liver fibrosis stages,which were assessed in advance by the current gold-standard of liver biopsy,was quantitatively analyzed.A total of 72 plasma proteins were found to be dysregulated during the fibrogenesis process,and this finding constituted a valuable candidate plasma biomarker bank for follow-up analysis.Validation results of fibronectin by Western blotting reconfirmed the mass-based data.Ingenuity Pathways Analysis showed four types of metabolic networks for the functional effect of liver fibrosis disease in chronic hepatitis B patients.Consequently,quantitative proteomics via the N-terminal acetyl isotope labeling technique provides an effective and useful tool for screening plasma candidate biomarkers for liver fibrosis.We quantitatively monitored the fibrogenesis process in CHB patients.We discovered many new valuable candidate biomarkers for the diagnosis of liver fibrosis and also partly identified the mechanism involved in liver fibrosis disease.These results provide a clearer understanding of liver fibrosis pathophysiology and will also hopefully lead to improvement of clinical diagnosis and treatment.
LI ShuLongLIU XinWEI LaiWANG HuiFenZHANG JiYangWEI HanDongQIAN XiaoHongJIANG YingHE FuChu
