Using structural analysis to explore the role of hepatitis B virus mutations in immune escape from liver cancer in Chinese, European and American populations.

Hepatitis B virus (HBV) infection is an important problem threatening human health. After HBV virus invades human body, it may assemble a complete virus particle in the cytoplasm to trigger the immune reaction, especially the interaction between the HBV virus and the host that mediated by CD8+ T cell. We collected the sequences of HBV from the HBVdb database, then screened candidate mutation sites in Chinese, European and American populations based on conservation and physicochemical properties. After that we constructed the three-dimensional structure of Major histocompatibility complex class I (MHC I) -peptide complexes, performed molecular docking, run molecular dynamics to compare the binding free energy, stability, and affinity of MHC I-peptide complexes with the aim to estimate the effect of peptide mutation. The specific HBV virus subtypes of the Chinese, European and American population were studied and the candidate mutation sites were used to predict the mutant peptide antigen. Finally, based on physical and chemical properties and peptide antigen prediction scores, 21 HBV mutation sites were selected. Then combined with specific Human lymphocyte antigen (HLA) subtypes, 11 mutations were found to have a significant negative impact on affinity, stability and binding free energy. Overall, our work found important potential mutations, which provide an evaluation of HBV mutations and a clue of it in immunotherapy. Communicated by Ramaswamy H. Sarma.

Using structural analysis to clarify the impact of single nucleotide variants in neurexin/neuroligin revealed in clinical genomic sequencing.

The synapse is a highly specialized and dynamic structure, which is involved in regulating neurotransmission. Nerve cell adhesion molecule is a kind of transmembrane protein that mediates the interaction between cells and cells, cells and extracellular matrix, and plays a role in cell recognition, metastasis, and transmembrane signal transduction. Among nerve cell adhesion molecules, Neurexins (NRXNs) and Neuroligins (NLGNs) have been focused due to the relation with autism and other neuropsychiatric diseases. The previous research discovered numerous variants in NRXNs and NLGNs reported in neurodevelopmental disorders by genomic sequencing. However, structural variants in synaptic molecules caused by genome variants still prevent us from understanding the molecular mechanism of diseases. Thus, we sought to conduct a comprehensive risk assessment of the known NRXN and NLGN gene variants by protein structure analysis. In this study, we analyzed the structural properties of the NRXN/NLGN complex by calculating free energy in residue scanning, in combination with existing risk evaluation tools to focus on candidate missense mutations. Our calculations show that five candidate missense mutations in NLGNs can reduce the stability of NLGNs and even prevent the formation of NRXN/NLGN complexes, namely R87W, R204H, R437H, R437C and R583W. In addition, we found that the affinity of the amino acid substitution (Leu593Phe) (ΔΔG(affinity)) changes the affinity of the NLGN dimer. Overall, we have identified important potential pathological variants that provide clues to biomarkers. Communicated by Ramaswamy H. Sarma.

kataegis: an R package for identification and visualization of the genomic localized hypermutation regions using high-throughput sequencing.

BACKGROUND: Genomic localized hypermutation regions were found in cancers, which were reported to be related to the prognosis of cancers. This genomic localized hypermutation is quite different from the usual somatic mutations in the frequency of occurrence and genomic density. It is like a mutations "violent storm", which is just what the Greek word "kataegis" means. RESULTS: There are needs for a light-weighted and simple-to-use toolkit to identify and visualize the localized hypermutation regions in genome. Thus we developed the R package "kataegis" to meet these needs. The package used only three steps to identify the genomic hypermutation regions, i.e., i) read in the variation files in standard formats; ii) calculate the inter-mutational distances; iii) identify the hypermutation regions with appropriate parameters, and finally one step to visualize the nucleotide contents and spectra of both the foci and flanking regions, and the genomic landscape of these regions. CONCLUSIONS: The kataegis package is available on Bionconductor/Github ( https://github.com/flosalbizziae/kataegis ), which provides a light-weighted and simple-to-use toolkit for quickly identifying and visualizing the genomic hypermuation regions.

Potential role of genomic imprinted genes and brain developmental related genes in autism.

BACKGROUND: Autism is a complex disease involving both environmental and genetic factors. Recent efforts have implicated the correlation of genomic imprinting and brain development in autism, however the pathogenesis of autism is not completely clear. Here, we used bioinformatic tools to provide a comprehensive analysis of the autism-related genes, genomic imprinted genes and the spatially and temporally differentially expressed genes of human brain, aiming to explore the relationship between autism, brain development and genomic imprinting. METHODS: This study analyzed the distribution correlation between autism-related genes and imprinted genes on chromosomes using sliding windows and statistical methods. The normal brains' gene expression microarray data were reanalyzed to construct a spatio-temporal coordinate system of gene expression during brain development. Finally, we intersected the autism-related genes, imprinted genes and brain spatio-temporally differentially expressed genes for further analysis to find the major biological processes that these genes involved. RESULTS: We found a positive correlation between the autism-related genes' and imprinted genes' distribution on chromosomes. Through the analysis of the normal brain microarray data, we constructed a spatio-temporal coordinate system of gene expression during human brain development, and obtained 13 genes that are differentially expressed in the process of brain development, which are both autism-related genes and imprinted genes. Furthermore, enrichment analysis illustrated that these genes are mainly involved in the biological processes, such as gamma-aminobutyric acid signaling pathway, neuron recognition, learning or memory, and regulation of synaptic transmission. Bioinformatic analysis implied that imprinted genes regulate the development and behavior of the brain. And its own mutation or changes in the epigenetic modification state of the imprinted control region could lead to some diseases, indicating that imprinted genes and brain development play an important role in diagnosis and prognosis of autism. CONCLUSION: This study systematically correlates brain development and genomic imprinting with autism, which provides a new perspective for the study of genetic mechanisms of autism, and selected the potential candidate biomarkers for early diagnosis of autism in clinic.