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Featured researches published by Lijia Ma.


Cell Research | 2008

Characterization of microRNAs in serum: a novel class of biomarkers for diagnosis of cancer and other diseases

Xi Chen; Yi Ba; Lijia Ma; Xing Cai; Yuan Yin; Kehui Wang; Jigang Guo; Yujing Zhang; Jiangning Chen; Xing Guo; Qibin Li; Xiaoying Li; Wenjing Wang; Zhang Y; Jin Wang; Xueyuan Jiang; Yang Xiang; Chen Xu; Pingping Zheng; Juanbin Zhang; Ruiqiang Li; Hongjie Zhang; Xiaobin Shang; Ting Gong; Guang Ning; Jun Wang; Ke Zen; Junfeng Zhang; Chen Yu Zhang

Dysregulated expression of microRNAs (miRNAs) in various tissues has been associated with a variety of diseases, including cancers. Here we demonstrate that miRNAs are present in the serum and plasma of humans and other animals such as mice, rats, bovine fetuses, calves, and horses. The levels of miRNAs in serum are stable, reproducible, and consistent among individuals of the same species. Employing Solexa, we sequenced all serum miRNAs of healthy Chinese subjects and found over 100 and 91 serum miRNAs in male and female subjects, respectively. We also identified specific expression patterns of serum miRNAs for lung cancer, colorectal cancer, and diabetes, providing evidence that serum miRNAs contain fingerprints for various diseases. Two non-small cell lung cancer-specific serum miRNAs obtained by Solexa were further validated in an independent trial of 75 healthy donors and 152 cancer patients, using quantitative reverse transcription polymerase chain reaction assays. Through these analyses, we conclude that serum miRNAs can serve as potential biomarkers for the detection of various cancers and other diseases.


Nature | 2008

The diploid genome sequence of an Asian individual

Jun Wang; Wei Wang; Ruiqiang Li; Yingrui Li; Geng Tian; Laurie Goodman; Wei Fan; Junqing Zhang; Jun Li; Juanbin Zhang; Yiran Guo; Binxiao Feng; Heng Li; Yao Lu; Xiaodong Fang; Huiqing Liang; Z. Du; Dong Li; Yiqing Zhao; Yujie Hu; Zhenzhen Yang; Hancheng Zheng; Ines Hellmann; Michael Inouye; John E. Pool; Xin Yi; Jing Zhao; Jinjie Duan; Yan Zhou; Junjie Qin

Here we present the first diploid genome sequence of an Asian individual. The genome was sequenced to 36-fold average coverage using massively parallel sequencing technology. We aligned the short reads onto the NCBI human reference genome to 99.97% coverage, and guided by the reference genome, we used uniquely mapped reads to assemble a high-quality consensus sequence for 92% of the Asian individual’s genome. We identified approximately 3 million single-nucleotide polymorphisms (SNPs) inside this region, of which 13.6% were not in the dbSNP database. Genotyping analysis showed that SNP identification had high accuracy and consistency, indicating the high sequence quality of this assembly. We also carried out heterozygote phasing and haplotype prediction against HapMap CHB and JPT haplotypes (Chinese and Japanese, respectively), sequence comparison with the two available individual genomes (J. D. Watson and J. C. Venter), and structural variation identification. These variations were considered for their potential biological impact. Our sequence data and analyses demonstrate the potential usefulness of next-generation sequencing technologies for personal genomics.


Nature Biotechnology | 2010

Single base-resolution methylome of the silkworm reveals a sparse epigenomic map

Hui Xiang; Jingde Zhu; Quan Chen; Fangyin Dai; Xin Li; M. S. Li; Hongyu Zhang; Guojie Zhang; Dong Li; Yang Dong; Li Zhao; Ying Lin; Daojun Cheng; Jian Yu; Jinfeng Sun; Xiaoyu Zhou; Kelong Ma; Yinghua He; Yangxing Zhao; Shicheng Guo; Mingzhi Ye; Guangwu Guo; Yingrui Li; Ruiqiang Li; Xiuqing Zhang; Lijia Ma; Karsten Kristiansen; Qiuhong Guo; Jianhao Jiang; Stephan Beck

Epigenetic regulation in insects may have effects on diverse biological processes. Here we survey the methylome of a model insect, the silkworm Bombyx mori, at single-base resolution using Illumina high-throughput bisulfite sequencing (MethylC-Seq). We conservatively estimate that 0.11% of genomic cytosines are methylcytosines, all of which probably occur in CG dinucleotides. CG methylation is substantially enriched in gene bodies and is positively correlated with gene expression levels, suggesting it has a positive role in gene transcription. We find that transposable elements, promoters and ribosomal DNAs are hypomethylated, but in contrast, genomic loci matching small RNAs in gene bodies are densely methylated. This work contributes to our understanding of epigenetics in insects, and in contrast to previous studies of the highly methylated genomes of Arabidopsis and human, demonstrates a strategy for sequencing the epigenomes of organisms such as insects that have low levels of methylation.


International Journal of Cancer | 2012

Identification of ten serum microRNAs from a genome-wide serum microRNA expression profile as novel noninvasive biomarkers for nonsmall cell lung cancer diagnosis.

Xi Chen; Zhibin Hu; Wenjing Wang; Yi Ba; Lijia Ma; Chunni Zhang; Cheng Wang; Zhiji Ren; Yang Zhao; Sijia Wu; Rui Zhuang; Yixin Zhang; Heng Hu; Chazhen Liu; Lin Xu; Jun Wang; Hongbing Shen; Junfeng Zhang; Ke Zen; Chen Yu Zhang

The detection of nonsmall cell lung cancer (NSCLC) at an early stage presents a daunting challenge due to the lack of a specific noninvasive marker. The discovery of microRNAs (miRNAs), particularly those found in serum, has opened a new avenue for tumor diagnosis. To determine whether the expression profile of serum miRNAs can serve as a NSCLC fingerprint, we performed Taqman probe‐based quantitative RT‐PCR assay to selected differentially expressed serum miRNAs from a sample set including 400 NSCLC cases and 220 controls, and risk score analysis to evaluate the diagnostic value of the serum miRNA profiling system. After a two‐phase selection and validation process, 10 miRNAs were found to have significantly different expression levels in NSCLC serum samples compared with the control serum samples. Risk score analysis showed that this panel of miRNAs was able to distinguish NSCLC cases from controls with high sensitivity and specificity. Under ROC curves, the AUC for tumor identification in training set and validation set were 0.966 and 0.972, respectively. Furthermore, the expression profile of the 10‐serum miRNAs was correlated with the stage of NSCLC patients, especially in younger patients and patients with current smoking habits. More importantly, the serum miRNA‐based biomarker for early NSCLC detection was supported by a retrospective analysis in which the 10‐serum miRNA profile could accurately classify serum samples collected up to 33 months ahead of the clinical NSCLC diagnosis. Taken together, we demonstrate that the profiling of 10‐serum miRNAs provides a novel noninvasive biomarker for NSCLC diagnosis.


Genome Biology | 2009

Identification and characterization of novel amphioxus microRNAs by Solexa sequencing

Xi Chen; Qibin Li; Jin Wang; Xing Guo; Xiangrui Jiang; Zhiji Ren; Chunyue Weng; Guoxun Sun; Xiuqiang Wang; Yaping Liu; Lijia Ma; J. Chen; Jun Wang; Ke Zen; Junfeng Zhang; Chen-Yu Zhang

BackgroundmicroRNAs (miRNAs) are endogenous small non-coding RNAs that regulate gene expression at the post-transcriptional level. While the number of known human and murine miRNAs is continuously increasing, information regarding miRNAs from other species such as amphioxus remains limited.ResultsWe combined Solexa sequencing with computational techniques to identify novel miRNAs in the amphioxus species B. belcheri (Gray). This approach allowed us to identify 113 amphioxus miRNA genes. Among them, 55 were conserved across species and encoded 45 non-redundant mature miRNAs, whereas 58 were amphioxus-specific and encoded 53 mature miRNAs. Validation of our results with microarray and stem-loop quantitative RT-PCR revealed that Solexa sequencing is a powerful tool for miRNA discovery. Analyzing the evolutionary history of amphioxus miRNAs, we found that amphioxus possesses many miRNAs unique to chordates and vertebrates, and these may thus represent key steps in the evolutionary progression from cephalochordates to vertebrates. We also found that amphioxus is more similar to vertebrates than are tunicates with respect to their miRNA phylogenetic histories.ConclusionsTaken together, our results indicate that Solexa sequencing allows the successful discovery of novel miRNAs from amphioxus with high accuracy and efficiency. More importantly, our study provides an opportunity to decipher how the elaboration of the miRNA repertoire that occurred during chordate evolution contributed to the evolution of the vertebrate body plan.


Nucleic Acids Research | 2009

The YH database: the first Asian diploid genome database

Guoqing Li; Lijia Ma; Chao Song; Zhentao Yang; Xiulan Wang; Hui Huang; Yingrui Li; Ruiqiang Li; Xiuqing Zhang; Huanming Yang; Jian Wang; Jun Wang

The YH database is a server that allows the user to easily browse and download data from the first Asian diploid genome. The aim of this platform is to facilitate the study of this Asian genome and to enable improved organization and presentation large-scale personal genome data. Powered by GBrowse, we illustrate here the genome sequences, SNPs, and sequencing reads in the MapView. The relationships between phenotype and genotype can be searched by location, dbSNP ID, HGMD ID, gene symbol and disease name. A BLAST web service is also provided for the purpose of aligning query sequence against YH genome consensus. The YH database is currently one of the three personal genome database, organizing the original data and analysis results in a user-friendly interface, which is an endeavor to achieve fundamental goals for establishing personal medicine. The database is available at http://yh.genomics.org.cn.


Nucleic Acids Research | 2007

Snap: an integrated SNP annotation platform.

Shengting Li; Lijia Ma; Heng Li; Søren Vang; Yafeng Hu; Lars Bolund; Jun Wang

Snap (Single Nucleotide Polymorphism Annotation Platform) is a server designed to comprehensively analyze single genes and relationships between genes basing on SNPs in the human genome. The aim of the platform is to facilitate the study of SNP finding and analysis within the framework of medical research. Using a user-friendly web interface, genes can be searched by name, description, position, SNP ID or clone name. Several public databases are integrated, including gene information from Ensembl, protein features from Uniprot/SWISS-PROT, Pfam and DAS-CBS. Gene relationships are fetched from BIND, MINT, KEGG and are integrated with ortholog data from TreeFam to extend the current interaction networks. Integrated tools for primer-design and mis-splicing analysis have been developed to facilitate experimental analysis of individual genes with focus on their variation. Snap is available at and at .


Nature Genetics | 2009

The genome of the cucumber, Cucumis sativus L.

Sanwen Huang; Ruiqiang Li; Zhonghua Zhang; Li Li; Xingfang Gu; Wei Fan; William J. Lucas; Xiaowu Wang; Bingyan Xie; Peixiang Ni; Yuanyuan Ren; Hongmei Zhu; Jun Li; Kui Lin; Weiwei Jin; Zhangjun Fei; Guangcun Li; Jack E. Staub; Andrzej Kilian; Edwin van der Vossen; Yang Wu; Jie Guo; Jun He; Zhiqi Jia; Yi Ren; Geng Tian; Yao Lu; Jue Ruan; Wubin Qian; Mingwei Wang


Diabetologia | 2011

Homozygous carriers of the G allele of rs4664447 of the glucagon gene (GCG) are characterised by decreased fasting and stimulated levels of insulin, glucagon and glucagon-like peptide (GLP)-1

Signe S. Torekov; Lijia Ma; Niels Grarup; B. Hartmann; Irena Aldhoon Hainerová; Urd Kielgast; Hannelouise Kissow; Mads Rosenkilde; Jan Lebl; Daniel R. Witte; Torben Jørgensen; Annelli Sandbæk; Torsten Lauritzen; Ole Dragsbak Madsen; Jun Wang; Allan Linneberg; S. Madsbad; Jens J. Holst; T. Hansen; Oluf Pedersen


Archive | 2010

The sequence and de novo assembly of the giant panda genome (vol 463, pg 311, 2010)

Ruiqiang Li; Wei Jun Fan; Geng Tian; Hongmei Zhu; Lin He; Jing Cai; Quanfei Huang; Qingle Cai; Bo Li; Yinqi Bai; Zhihe Zhang; Ya-Ping Zhang; Wen Qiang Wang; Jun Li; Fuwen Wei; Cai Heng Li; Min Jian; Jianwen Li; Zhaolei Zhang; Rasmus Nielsen; Dawei Li; Wanjun Gu; Zhentao Yang; Zhaoling Xuan; Oliver A. Ryder; Frederick Chi-Ching Leung; Zhou Yan; Jianjun Cao; Xiao Li Sun; Yonggui Fu

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Jun Wang

Chinese Academy of Sciences

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Ruiqiang Li

Chinese Academy of Sciences

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Geng Tian

Chinese Academy of Sciences

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Yingrui Li

Chinese Academy of Sciences

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Dong Li

Southwest University

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Hongmei Zhu

Beijing Institute of Genomics

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