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Dive into the research topics where Rujiao Li is active.

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Featured researches published by Rujiao Li.


Journal of Chemical Physics | 2004

The static polarizability and first hyperpolarizability of the water trimer anion: ab initio study.

Wei Chen; Zhi-Ru Li; Di Wu; Feng-Long Gu; Xi-Yun Hao; Bing-Qiang Wang; Rujiao Li; Chia-Chung Sun

This work predicts the extraordinary hyperpolarizability of inorganic clusters: two water trimer anions. The first hyperpolarizabilities of (H2O-)(3) are considerable, beta(0)=1.715 x 10(7) a.u. for configuration A and beta(0)=1.129 x 10(7) a.u. for configuration B at MP2/d-aug-cc-pVDZ+x level. The first hyperpolarizabilities of (H2O-)(3) (configuration A) and related systems [(H2O)(3) and (H2O)(3)F-] are compared at the MP2/d-aug-cc-pVDZ+x level. These results are beta(0)=1.715 x 10(7) a.u. for (H2O-)(3), beta(0)=35 a.u. for (H2O)(3) [the neutral core of (H2O-)(3)], and beta(0)=46 a.u. for (H2O)(3)F-). Comparing the beta(0) values of related systems, we find that the dipole-bound excess electron is the key factor in the extraordinary first hyperpolarizability of (H2O-)(3) species. It will provide a future in the development of some materials with the excess electron (e.g., electrides) that exhibit large nonlinear optical response.


Chemical Physics Letters | 2003

Single-electron hydrogen bonds in the methyl radical complexes H3C⋯HF and H3C⋯HCCH: an ab initio study

Bing-Qiang Wang; Zhi-Ru Li; Di Wu; Xi-Yun Hao; Rujiao Li; Chia-Chung Sun

Abstract The methyl radical (CH 3 ) complexes with hydrogen fluoride (HF) and ethyne (HCCH) are reported to show the existence of a single-electron hydrogen bond. Their geometrical structures are optimized at the MP2/aug-cc-pVDZ and MP2/aug-cc-pVTZ levels and C 3v stationary structures are obtained for the two complexes. The single-electron hydrogen bond energies of H 3 C⋯HF and H 3 C⋯HCCH are calculated at six levels of theory [SCF, MP2, MP3, MP4, CCSD, and CCSD(T)] and their harmonic vibrational frequencies are calculated at the MP2/aug-cc-pVTZ level.


Bioinformatics | 2011

wapRNA: a web-based application for the processing of RNA sequences.

Wenming Zhao; Wanfei Liu; Dongmei Tian; Bixia Tang; Yanqing Wang; Caixia Yu; Rujiao Li; Yunchao Ling; Jiayan Wu; Shuhui Song; Songnian Hu

SUMMARY mRNA/miRNA-seq technology is becoming the leading technology to globally profile gene expression and elucidate the transcriptional regulation mechanisms in living cells. Although there are many tools available for analyzing RNA-seq data, few of them are available as easy accessible online web tools for processing both mRNA and miRNA data for the RNA-seq based user community. As such, we have developed a comprehensive web application tool for processing mRNA-seq and miRNA-seq data. Our web tool wapRNA includes four different modules: mRNA-seq and miRNA-seq sequenced from SOLiD or Solexa platform and all the modules were tested on previously published experimental data. We accept raw sequence data with an optional reads filter, followed by mapping and gene annotation or miRNA prediction. wapRNA also integrates downstream functional analyses such as Gene Ontology, KEGG pathway, miRNA targets prediction and comparison of genes or miRNAs different expression in different samples. Moreover, we provide the executable packages for installation on users local server. AVAILABILITY wapRNA is freely available for use at http://waprna.big.ac.cn. The executable packages and the instruction for installation can be downloaded from our web site. CONTACT [email protected]; [email protected]. SUPPLEMENTARY INFORMATION Supplementary data are available at Bioinformatics online.


BMC Genomics | 2013

Gene expression analysis of induced pluripotent stem cells from aneuploid chromosomal syndromes

Ruosi Zhang; Lili Hao; Lingping Wang; Meili Chen; Wen Li; Rujiao Li; Jun Yu; Jingfa Xiao; Jiayan Wu

BackgroundHuman aneuploidy is the leading cause of early pregnancy loss, mental retardation, and multiple congenital anomalies. Due to the high mortality associated with aneuploidy, the pathophysiological mechanisms of aneuploidy syndrome remain largely unknown. Previous studies focused mostly on whether dosage compensation occurs, and the next generation transcriptomics sequencing technology RNA-seq is expected to eventually uncover the mechanisms of gene expression regulation and the related pathological phenotypes in human aneuploidy.ResultsUsing next generation transcriptomics sequencing technology RNA-seq, we profiled the transcriptomes of four human aneuploid induced pluripotent stem cell (iPSC) lines generated from monosomy × (Turner syndrome), trisomy 8 (Warkany syndrome 2), trisomy 13 (Patau syndrome), and partial trisomy 11:22 (Emanuel syndrome) as well as two umbilical cord matrix iPSC lines as euploid controls to examine how phenotypic abnormalities develop with aberrant karyotype. A total of 466 M (50-bp) reads were obtained from the six iPSC lines, and over 13,000 mRNAs were identified by gene annotation. Global analysis of gene expression profiles and functional analysis of differentially expressed (DE) genes were implemented. Over 5000 DE genes are determined between aneuploidy and euploid iPSCs respectively while 9 KEGG pathways are overlapped enriched in four aneuploidy samples.ConclusionsOur results demonstrate that the extra or missing chromosome has extensive effects on the whole transcriptome. Functional analysis of differentially expressed genes reveals that the genes most affected in aneuploid individuals are related to central nervous system development and tumorigenesis.


PLOS ONE | 2014

WBSA: Web Service for Bisulfite Sequencing Data Analysis

Fang Liang; Bixia Tang; Yanqing Wang; Jianfeng Wang; Caixia Yu; Xu Chen; Jiangwei Yan; Wenming Zhao; Rujiao Li

Whole-Genome Bisulfite Sequencing (WGBS) and genome-wide Reduced Representation Bisulfite Sequencing (RRBS) are widely used to study DNA methylation. However, data analysis is complicated, lengthy, and hampered by a lack of seamless analytical pipelines. To address these issues, we developed a convenient, stable, and efficient web service called Web Service for Bisulfite Sequencing Data Analysis (WBSA) to analyze bisulfate sequencing data. WBSA focuses on not only CpG methylation, which is the most common biochemical modification in eukaryotic DNA, but also non-CG methylation, which have been observed in plants, iPS cells, oocytes, neurons and stem cells of human. WBSA comprises three main modules as follows: WGBS data analysis, RRBS data analysis, and differentially methylated region (DMR) identification. The WGBS and RRBS modules execute read mapping, methylation site identification, annotation, and advanced analysis, whereas the DMR module identifies actual DMRs and annotates their correlations to genes. WBSA can be accessed and used without charge either online or local version. WBSA also includes the executables of the Portable Batch System (PBS) and standalone versions that can be downloaded from the website together with the installation instructions. WBSA is available at no charge for academic users at http://wbsa.big.ac.cn.


Nucleic Acids Research | 2015

MethBank: a database integrating next-generation sequencing single-base-resolution DNA methylation programming data

Dong Zou; Shixiang Sun; Rujiao Li; Jiang Liu; Jing Zhang; Zhang Zhang

DNA methylation plays crucial roles during embryonic development. Here we present MethBank (http://dnamethylome.org), a DNA methylome programming database that integrates the genome-wide single-base nucleotide methylomes of gametes and early embryos in different model organisms. Unlike extant relevant databases, MethBank incorporates the whole-genome single-base-resolution methylomes of gametes and early embryos at multiple different developmental stages in zebrafish and mouse. MethBank allows users to retrieve methylation levels, differentially methylated regions, CpG islands, gene expression profiles and genetic polymorphisms for a specific gene or genomic region. Moreover, it offers a methylome browser that is capable of visualizing high-resolution DNA methylation profiles as well as other related data in an interactive manner and thus is of great helpfulness for users to investigate methylation patterns and changes of gametes and early embryos at different developmental stages. Ongoing efforts are focused on incorporation of methylomes and related data from other organisms. Together, MethBank features integration and visualization of high-resolution DNA methylation data as well as other related data, enabling identification of potential DNA methylation signatures in different developmental stages and accordingly providing an important resource for the epigenetic and developmental studies.


Chemical Physics Letters | 2003

Density functional study of structures and interaction hyperpolarizabilities of NH3–HCl–(H2O)n (n=0–4) clusters

Rujiao Li; Zhi-Ru Li; Di Wu; Xi-Yun Hao; Ying Li; Bing-Qiang Wang; Fu-Ming Tao; Chia-Chung Sun

Abstract The optimized structures of NH 3 –HCl–(H 2 O) n ( n =0–4) clusters have been obtained by B3LYP/d-aug-cc-pVDZ method. In the structure of n =1, proton transfer occurs. It is different from the results of some references. The first hyperpolarizabilities ( β 0 ) and some other properties of the clusters were calculated and the basis set effects were also studied. On the properties of the clusters, the β 0 value reduces with the increasing number of water molecules. For the subunits NH 3 –HCl, the β 0 value increases with the extent of proton transfer that result from an important solvent effects of water molecules.


BMC Genomics | 2015

Genome-wide DNA methylome variation in two genetically distinct chicken lines using MethylC-seq

Jinxiu Li; Rujiao Li; Ying Wang; Xiaoxiang Hu; Yiqiang Zhao; Lin Li; Chungang Feng; Xiaorong Gu; Fang Liang; Susan J. Lamont; Songnian Hu; Huaijun Zhou; Ning Li

BackgroundDNA cytosine methylation is an important epigenetic modification that has significant effects on a variety of biological processes in animals. Avian species hold a crucial position in evolutionary history. In this study, we used whole-genome bisulfite sequencing (MethylC-seq) to generate single base methylation profiles of lungs in two genetically distinct and highly inbred chicken lines (Fayoumi and Leghorn) that differ in genetic resistance to multiple pathogens, and we explored the potential regulatory role of DNA methylation associated with immune response differences between the two chicken lines.MethodsThe MethylC-seq was used to generate single base DNA methylation profiles of Fayoumi and Leghorn birds. In addition, transcriptome profiling using RNA–seq from the same chickens and tissues were obtained to interrogate how DNA methylation regulates gene transcription on a genome-wide scale.ResultsThe general DNA methylation pattern across different regions of genes was conserved compared to other species except for hyper-methylation of repeat elements, which was not observed in chicken. The methylation level of miRNA and pseudogene promoters was high, which indicates that silencing of these genes may be partially due to promoter hyper-methylation. Interestingly, the promoter regions of more recently evolved genes tended to be more highly methylated, whereas the gene body regions of evolutionarily conserved genes were more highly methylated than those of more recently evolved genes. Immune-related GO (Gene Ontology) terms were significantly enriched from genes within the differentially methylated regions (DMR) between Fayoumi and Leghorn, which implicates DNA methylation as one of the regulatory mechanisms modulating immune response differences between these lines.ConclusionsThis study establishes a single-base resolution DNA methylation profile of chicken lung and suggests a regulatory role of DNA methylation in controlling gene expression and maintaining genome transcription stability. Furthermore, profiling the DNA methylomes of two genetic lines that differ in disease resistance provides a unique opportunity to investigate the potential role of DNA methylation in host disease resistance. Our study provides a foundation for future studies on epigenetic modulation of host immune response to pathogens in chickens.


BMC Genomics | 2017

Transcriptome analysis reveals dynamic changes in coxsackievirus A16 infected HEK 293T cells

Jun Jin; Rujiao Li; Chunlai Jiang; Ruosi Zhang; Xiaomeng Ge; Fang Liang; Xin Sheng; Wenwen Dai; Meili Chen; Jiayan Wu; Jingfa Xiao; Weiheng Su

BackgroundCoxsackievirus A16 (CVA16) and enterovirus 71 (EV71) are two of the major causes of hand, foot and mouth disease (HFMD) world-wide. Although many studies have focused on infection and pathogenic mechanisms, the transcriptome profile of the host cell upon CVA16 infection is still largely unknown.ResultsIn this study, we compared the mRNA and miRNA expression profiles of human embryonic kidney 293T cells infected and non-infected with CVA16. We highlighted that the transcription of SCARB2, a cellular receptor for both CVA16 and EV71, was up-regulated by nearly 10-fold in infected cells compared to non-infected cells. The up-regulation of SCARB2 transcription induced by CVA16 may increase the possibility of subsequent infection of CVA16/EV71, resulting in the co-infection with two viruses in a single cell. This explanation would partly account for the co-circulation and genetic recombination of a great number of EV71 and CVA16 viruses. Based on correlation analysis of miRNAs and genes, we speculated that the high expression of SCARB2 is modulated by down-regulation of miRNA has-miR-3605-5p. At the same time, we found that differentially expressed miRNA target genes were mainly reflected in the extracellular membrane (ECM)-receptor interaction and circadian rhythm pathways, which may be related to clinical symptoms of patients infected with CVA16, such as aphthous ulcers, cough, myocarditis, somnolence and potentially meningoencephalitis. The miRNAs hsa-miR-149-3p and hsa-miR-5001-5p may result in up-regulation of genes in these morbigenous pathways related to CVA16 and further cause clinical symptoms.ConclusionsThe present study elucidated the changes in 293T cells upon CVA16 infection at transcriptome level, containing highly up-regulated SCARB2 and genes in ECM-receptor interaction and circadian rhythm pathways, and key miRNAs in gene expression regulation. These results provided novel insight into the pathogenesis of HFMD induced by CVA16 infection.


Nucleic Acids Research | 2018

Database Resources of the BIG Data Center in 2018

Zhang Zhang; Wenming Zhao; Jingfa Xiao; Yiming Bao; Fan Wang; Lili Hao; Tingting Chen; Sisi Zhang; Xu Chen; Bixia Tang; Qing Zhou; Zhonghuang Wang; Lili Dong; Yanqing Wang; Yingke Ma; Zhewen Zhang; Meili Chen; Dongmei Tian; Cuiping Li; Xufei Teng; Z. Du; Na Yuan; Jingyao Zeng; Jinyue Wang; Shuo Shi; Yadong Zhang; Qi Wang; Mengyu Pan; Qiheng Qian; Shuhui Song

Abstract The BIG Data Center at Beijing Institute of Genomics (BIG) of the Chinese Academy of Sciences provides freely open access to a suite of database resources in support of worldwide research activities in both academia and industry. With the vast amounts of omics data generated at ever-greater scales and rates, the BIG Data Center is continually expanding, updating and enriching its core database resources through big-data integration and value-added curation, including BioCode (a repository archiving bioinformatics tool codes), BioProject (a biological project library), BioSample (a biological sample library), Genome Sequence Archive (GSA, a data repository for archiving raw sequence reads), Genome Warehouse (GWH, a centralized resource housing genome-scale data), Genome Variation Map (GVM, a public repository of genome variations), Gene Expression Nebulas (GEN, a database of gene expression profiles based on RNA-Seq data), Methylation Bank (MethBank, an integrated databank of DNA methylomes), and Science Wikis (a series of biological knowledge wikis for community annotations). In addition, three featured web services are provided, viz., BIG Search (search as a service; a scalable inter-domain text search engine), BIG SSO (single sign-on as a service; a user access control system to gain access to multiple independent systems with a single ID and password) and Gsub (submission as a service; a unified submission service for all relevant resources). All of these resources are publicly accessible through the home page of the BIG Data Center at http://bigd.big.ac.cn.

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Jingfa Xiao

Beijing Institute of Genomics

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Fang Liang

Beijing Institute of Genomics

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Jiayan Wu

Beijing Institute of Genomics

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Wenming Zhao

Beijing Institute of Genomics

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Zhang Zhang

Beijing Institute of Genomics

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