Digital gene expression analysis of the pathogenesis and therapeutic mechanisms of ligustrazine and puerarin in rat atherosclerosis

Atherosclerosis (AS) is the leading cause of death in modern societies. Active substance from Traditional Chinese Medicine has been used for the treatment of AS, such as ligustrazine and puerarin. However, the pathogenesis of AS and the curative mechanisms of ligustrazine and puerarin stay unclear. In this work, we attempted to figure out these questions using a rat AS model and digital gene expression (DGE) system. Our results showed that DGE sequencing outcomes were high quality and reproductively. Differentially expressed genes were obtained from different comparisons. The Gene Ontology (GO) analysis revealed that mainly enriched GO terms due to the drug treatment were the same as those obtained from the control group vs. the AS model group. Pathway analysis indicated that metabolic pathways, oxidative phosphorylation, and PPAR single pathways were enriched in all comparisons. Our work provided a comprehensive basis for a better understanding of the pathogenesis of AS and the curative mechanisms of ligustrazine and puerarin.     

Functional annotation of genes overlapping copy number variants in autistic patients: focus on axon pathfinding

We have used Gene Ontology (GO) and pathway analyses to uncover the common functions associated to the genes overlapping Copy Number Variants (CNVs) in autistic patients. Our source of data were four published studies [1-4]. We first applied a two-step enrichment strategy for autism-specific genes. We fished out from the four mentioned studies a list of 2928 genes overall overlapping 328 CNVs in patients and we first selected a sub-group of 2044 genes after excluding those ones that are also involved in CNVs reported in the Database of Genomic Variants (enrichment step 1). We then selected from the step 1-enriched list a sub-group of 514 genes each of which was found to be deleted or duplicated in at least two patients (enrichment step 2). The number of statistically significant processes and pathways identified by the Database for Annotation, Visualization and Integrated Discovery and Ingenuity Pathways Analysis softwares with the step 2-enriched list was significantly higher compared to the step 1-enriched list. In addition, statistically significant GO terms, biofunctions and pathways related to nervous system development and function were exclusively identified by the step 2-enriched list of genes. Interestingly, 21 genes were associated to axon growth and pathfinding. The latter genes and other ones associated to nervous system in this study represent a new set of autism candidate genes deserving further investigation. In summary, our results suggest that the autism's "connectivity genes" in some patients affect very early phases of neurodevelopment, i.e., earlier than synaptogenesis.     

Identification of conserved lentiviral sequences as landmarks of genomic flexibility

Considering that recombinations produce quasispecies in lentivirus spreading, we identified and localized highly conserved sequences that may play an important role in viral ontology. Comparison of entire genomes, including 237 human, simian and non-primate mammal lentiviruses and 103 negative control viruses, led to identify 28 Conserved Lentiviral Sequences (CLSs). They were located mainly in the structural genes forming hot spots particularly in the gag and pol genes and to a lesser extent in LTRs and regulatory genes. The CLS pattern was the same throughout the different HIV-1 subtypes, except for some HIV-1-O strains. Only CLS 3 and 4 were detected in both negative control HTLV-1 oncornaviruses and D-particle-forming simian viruses, which are not immunodeficiency inducers and display a genetic stability. CLSs divided the virus genomes into domains allowing us to distinguish sequence families leading to the notion of 'species self' besides that of 'lentiviral self'. Most of acutely localized CLSs in HIV-1s (82%) corresponded to wide recombination segments being currently reported.     

Energetics-based discovery of protein-ligand interactions on a proteomic scale

Biochemical functions of proteins in cells frequently involve interactions with various ligands. Proteomic methods for the identification of proteins that interact with specific ligands such as metabolites, signaling molecules, and drugs are valuable in investigating the regulatory mechanisms of cellular metabolism, annotating proteins with unknown functions, and elucidating pharmacological mechanisms. Here we report an energetics-based target identification method in which target proteins in a cell lysate are identified by exploiting the effect of ligand binding on their stabilities. Urea-induced unfolding of proteins in cell lysates is probed by a short pulse of proteolysis, and the effect of a ligand on the amount of folded protein remaining is monitored on a proteomic scale. As proof of principle, we identified proteins that interact with ATP in the Escherichia coli proteome. Literature and database mining confirmed that a majority of the identified proteins are indeed ATP-binding proteins. Four identified proteins that were previously not known to interact with ATP were cloned and expressed to validate the result. Except for one protein, the effects of ATP on urea-induced unfolding were confirmed. Analyses of the protein sequences and structure models were also employed to predict potential ATP binding sites in the identified proteins. Our results demonstrate that this energetics-based target identification approach is a facile method to identify proteins that interact with specific ligands on a proteomic scale.     

一种基于本体集成的生物医学数据库中语义映射维护方法研究

生物医学数据库到生物医学本体的语义映射是基于本体集成生物医学数据库系统的一个重要环节.而生物医学本体随着学科的发展不断演化,造成了集成系统不稳定.针对这个问题,本文在本体演化条件下,分析并发现了语义映射的变化规律,设计了对应的维护流程和维护方法,并通过计算维护收益率证明了该方法对映射的维护是有效性的,从而增强了集成系统在本体演化条件下的稳定性.