Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Yan Ren is active.

Publication


Featured researches published by Yan Ren.


Biochemical Journal | 2004

Proteomic characterization of two snake venoms: Naja naja atra and Agkistrodon halys

Shuting Li; Jingqiang Wang; Xumin Zhang; Yan Ren; Ning Wang; Kang Zhao; Xishu Chen; Caifeng Zhao; Xiaolei Li; Jianmin Shao; Jianning Yin; Matthew West; Ningzhi Xu; Siqi Liu

Snake venom is a complex mixture of proteins and peptides, and a number of studies have described the biological properties of several venomous proteins. Nevertheless, a complete proteomic profile of venom from any of the many species of snake is not available. Proteomics now makes it possible to globally identify proteins from a complex mixture. To assess the venom proteomic profiles from Naja naja atra and Agkistrodon halys, snakes common to southern China, we used a combination strategy, which included the following four different approaches: (i) shotgun digestion plus HPLC with ion-trap tandem MS, (ii) one-dimensional SDS/PAGE plus HPLC with tandem MS, (iii) gel filtration plus HPLC with tandem MS and (iv) gel filtration and 2DE (two-dimensional gel electrophoresis) plus MALDI-TOF (matrix-assisted laser desorption ionization-time-of-flight) MS. In the present paper, we report the novel identification of 124 and 74 proteins and peptides in cobra and viper venom respectively. Functional analysis based upon toxin categories reveals that, as expected, cobra venom has a high abundance of cardio- and neurotoxins, whereas viper venom contains a significant amount of haemotoxins and metalloproteinases. Although approx. 80% of gel spots from 2DE displayed high-quality MALDI-TOF-MS spectra, only 50% of these spots were confirmed to be venom proteins, which is more than likely to be a result of incomplete protein databases. Interestingly, these data suggest that post-translational modification may be a significant characteristic of venomous proteins.


Genomics, Proteomics & Bioinformatics | 2003

The Epitope Study on the SARS-CoV Nucleocapsid Protein

Shuting Li; Liang Lin; Hao Wang; Jianning Yin; Yan Ren; Zhe Zhao; Jie Wen; Cuiqi Zhou; Xumin Zhang; Xiaolei Li; Jingqiang Wang; Zhengfeng Zhou; Jinxiu Liu; Jianmin Shao; Tingting Lei; Jianqiu Fang; Ningzhi Xu; Siqi Liu

The nucleocapsid protein (N protein) has been found to be an antigenic protein in a number of coronaviruses. Whether the N protein in severe acute respiratory syndrome-associated coronavirus (SARS-CoV) is antigenic remains to be elucidated. Using Western blot and Enzyme-linked Immunosorbent Assay (ELISA), the recombinant N proteins and the synthesized peptides derived from the N protein were screened in sera from SARS patients. All patient sera in this study displayed strong positive immunoreactivities against the recombinant N proteins, whereas normal sera gave negative immunoresponses to these proteins, indicating that the N protein of SARS-CoV is an antigenic protein. Furthermore, the epitope sites in the N protein were determined by competition experiments, in which the recombinant proteins or the synthesized peptides competed against the SARS-CoV proteins to bind to the antibodies raised in SARS sera. One epitope site located at the C-terminus was confirmed as the most antigenic region in this protein. A detailed screening of peptide with ELISA demonstrated that the amino sequence from Codons 371 to 407 was the epitope site at the C-terminus of the N protein. Understanding of the epitope sites could be very significant for developing an effective diagnostic approach to SARS.


Genomics, Proteomics & Bioinformatics | 2003

The C-terminal portion of the nucleocapsid protein demonstrates SARS-CoV antigenicity.

Guozhen Liu; Shaohui Hu; Yongwu Hu; Peng Chen; Jianning Yin; Jie Wen; Jingqiang Wang; Liang Lin; Jinxiu Liu; Bo You; Ye Yin; Shuting Li; Hao Wang; Yan Ren; Jia Ji; Xiaoqian Zhao; Yongqiao Sun; Xiaowei Zhang; Jianqiu Fang; Jian Wang; Siqi Liu; Jun Yu; Heng Zhu; Huanming Yang

In order to develop clinical diagnostic tools for rapid detection of SARS-CoV (severe acute respiratory syndrome-associated coronavirus) and to identify candidate proteins for vaccine development, the C-terminal portion of the nucleocapsid (NC) gene was amplified using RT-PCR from the SARS-CoV genome, cloned into a yeast expression vector (pEGH), and expressed as a glutathione S-transferase (GST) and Hisx6 double-tagged fusion protein under the control of an inducible promoter. Western analysis on the purified protein confirmed the expression and purification of the NC fusion proteins from yeast. To determine its antigenicity, the fusion protein was challenged with serum samples from SARS patients and normal controls. The NC fusion protein demonstrated high antigenicity with high specificity, and therefore, it should have great potential in designing clinical diagnostic tools and provide useful information for vaccine development.


Genomics, Proteomics & Bioinformatics | 2003

A strategy for searching antigenic regions in the SARS-CoV spike protein.

Yan Ren; Zhengfeng Zhou; Jinxiu Liu; Liang Lin; Shuting Li; Hao Wang; Ji Xia; Zhe Zhao; Jie Wen; Cuiqi Zhou; Jingqiang Wang; Jianning Yin; Ningzhi Xu; Siqi Liu

In the face of the worldwide threat of severe acute respiratory syndrome (SARS) to human life, some of the most urgent challenges are to develop fast and accurate analytical methods for early diagnosis of this disease as well as to create a safe anti-viral vaccine for prevention. To these ends, we investigated the antigenicity of the spike protein (S protein), a major structural protein in the SARS-coronavirus (SARS-CoV). Based upon the theoretical analysis for hydrophobicity of the S protein, 18 peptides were synthesized. Using Enzyme-Linked Immunosorbent Assay (ELISA), these peptides were screened in the sera from SARS patients. According to these results, two fragments of the S gene were amplified by PCR and cloned into pET-32a. Both S fragments were expressed in the BL-21 strain and further purified with an affinity chromatography. These recombinant S fragments were confirmed to have positive cross-reactions with SARS sera, either by Western blot or by ELISA. Our results demonstrated that the potential epitope regions were located at Codons 469–882 in the S protein, and one epitope site was located at Codons 599–620. Identification of antigenic regions in the SARS-CoV S protein may be important for the functional studies of this virus or the development of clinical diagnosis.


Journal of Proteome Research | 2015

Insights from ENCODE on Missing Proteins: Why β-Defensin Expression Is Scarcely Detected.

Yang Fan; Yue Zhang; Shaohang Xu; Nannan Kong; Yang Zhou; Zhe Ren; Yamei Deng; Liang Lin; Yan Ren; Q. Wang; Jin Zi; Bo Wen; Siqi Liu

β-Defensins (DEFBs) have a variety of functions. The majority of these proteins were not identified in a recent proteome survey. Neither protein detection nor the analysis of transcriptomic data based on RNA-seq data for three liver cancer cell lines identified any expression products. Extensive investigation into DEFB transcripts in over 70 cell lines offered similar results. This fact naturally begs the question—Why are DEFB genes scarcely expressed? After examining DEFB gene annotation and the physicochemical properties of its protein products, we postulated that regulatory elements could play a key role in the resultant poor transcription of DEFB genes. Four regions containing DEFB genes and six adjacent regions on chromosomes 6, 8, and 20 were carefully investigated using The Encyclopedia of DNA Elements (ENCODE) information, such as that of DNase I hypersensitive sites (DHSs), transcription factors (TFs), and histone modifications. The results revealed that the intensities of these ENCODE features were globally weaker than those in the adjacent regions. Impressively, DEFB-related regions on chromosomes 6 and 8 containing several non-DEFB genes had lower ENCODE feature intensities, indicating that the absence of DEFB mRNAs might not depend on the gene family but may be reliant upon gene location and chromatin structure.


Journal of Proteome Research | 2016

A Comprehensive Investigation toward the Indicative Proteins of Bladder Cancer in Urine: From Surveying Cell Secretomes to Verifying Urine Proteins

Jiao Guo; Yan Ren; Guixue Hou; Bo Wen; Feng Xian; Zhen Chen; Ping Cui; Yingying Xie; Jin Zi; Liang Lin; Song Wu; Zesong Li; Lin Wu; Xiaomin Lou; Siqi Liu

Urine is an ideal material to study the cancer-related protein biomarkers in bladder, whereas exploration to these candidates is confronting technique challenges. Herein, we propose a comprehensive strategy of searching the urine proteins related with bladder cancer. The strategy consists of three core combinations, screening the biomarker candidates in the secreted proteins derived from the bladder cancer cell lines and verifying them in patient urines, defining the differential proteins through two-dimensional electrophoresis (2DE) and isobaric tags for relative and absolute quantitation (iTRAQ) coupled with LC-MS/MS, and implementing quantitative proteomics of profiling and targeting analysis. With proteomic survey, a total of 700 proteins were found with their abundance of secreted proteins in cancer cell lines different from normal, while 87 proteins were identified in the urine samples. The multiple reaction monitoring (MRM)-based quantification was adapted in verifying the bladder cancer related proteins in individual urine samples, resulting in 10 differential urine proteins linked with the cancer. Of these candidates, receiver operating characteristic analysis revealed that the combination of CO3 and LDHB was more sensitive as the cancer indicator than other groups. The discovery of the bladder cancer indicators through our strategy has paved an avenue to further biomarker validation.


Journal of Proteome Research | 2017

Digging more missing proteins using an enrichment approach with ProteoMiner

Siqi Li; Yanbin He; Zhilong Lin; Shaohang Xu; Ruo Zhou; Feng Liang; Jian Wang; Huanming Yang; Siqi Liu; Yan Ren

Human Proteome Project (HPP) aims at mapping entire human proteins with a systematic effort upon all the emerging techniques, which would enhance understanding of human biology and lay a foundation for development of medical applications. Until now, 2563 missing proteins (MPs, PE2-4) are still undetected even using the most sensitive approach of protein detection. Herein, we propose that enrichment of low-abundance proteins benefits MPs finding. ProteoMiner is an equalizing technique by reducing high-abundance proteins and enriching low-abundance proteins in biological liquids. With triton X-100/TBS buffer extraction, ProteoMiner enrichment, and peptide fractionation, 20 MPs (at least two non-nested unique peptides with more than eight a.a. length) with 60 unique peptides were identified from four human tissues including eight membrane/secreted proteins and five nucleus proteins. Then 15 of them were confirmed with two non-nested unique peptides (≥9 a.a.) identified by matching well with their chemically synthetic peptides in PRM assay. Hence, these results demonstrated ProteoMiner as a powerful means in discovery of MPs.


Journal of Proteome Research | 2015

Assessing Transcription Regulatory Elements To Evaluate the Expression Status of Missing Protein Genes on Chromosomes 11 and 19

Nannan Kong; Yang Zhou; Shaohang Xu; Yamei Deng; Yang Fan; Yue Zhang; Zhe Ren; Liang Lin; Yan Ren; Q. Wang; Jin Zi; Bo Wen; Siqi Liu

During an investigation of missing proteins with the RNA-seq data acquired from three liver cancer cell lines, the majority of the missing protein coding genes (MPGs) located at chromosome 11 (chr11) had no corresponding mRNAs, while a high percentage of the MPGs on chr19 were detected at the mRNA level. The phenomenon, which was also observed in more than 40 cell lines, led to an inquiry of causation of the different transcriptional statuses of the MPGs in the two chromosomes. We hypothesized that the special chromatin structure was a key element to regulate MPG transcription. Upon a systematical comparison of the effects of DNase I hypersensitive sites (DHSs), transcription factors (TFs), and histone modifications toward these genes or MPGs with/without mRNA evidence in chr11 and 19, we attributed the poor transcription of the MPGs to the weak capacity of these transcription regulatory elements, regardless of which chromosome the MPGs were located. We further analyzed the gene contents in chr11 and found a number of genes related to sensory functions in the presence of chr11. We postulate that a high number of sensory-related genes, which are located within special chromatin structure, could bring a low detection rate of MPGs in chr11.


bioRxiv | 2018

Recovered and dead outcome patients caused by influenza A (H7N9) virus infection show different pro-inflammatory cytokine dynamics during disease progress and its application in real-time prognosis

Yingxia Liu; Xinfa Wang; Houshun Zhu; Jinmin Ma; Zhe Lu; Jing Yuan; Jianming Li; Jiandong Li; Yan Ren; Bo Wen; Wenjie Ouyang; Haixia Zheng; Rongrong Zou; Yuhai Bi; Changcheng Yin; Zhenyu Guo; Wanying Sun; Na Pei; Junhua Li; Shida Zhu; Huanming Yang; Lei Liu; Xun Xu; Siqi Liu; Hui Wang; Liqiang Li

The persistent circulation of influenza A(H7N9) virus within poultry markets and human society leads to sporadic epidemics of influenza infections. Severe pneumonia and acute respiratory distress syndrome (ARDS) caused by the virus lead to high morbidity and mortality rates in patients. Hyper induction of pro-inflammatory cytokines, which is known as “cytokine storm”, is closely related to the process of viral infection. However, systemic analyses of H7N9 induced cytokine storm and its relationship with disease progress need further illuminated. In our study we collected 75 samples from 24 clinically confirmed H7N9-infected patients at different time points after hospitalization. Those samples were divided into three groups, which were mild, severe and fatal groups, according to disease severity and final outcome. Human cytokine antibody array was performed to demonstrate the dynamic profile of 80 cytokines and chemokines. By comparison among different prognosis groups and time series, we provide a more comprehensive insight into the hypercytokinemia caused by H7N9 influenza virus infection. Different dynamic changes of cytokines/chemokines were observed in H7N9 infected patients with different severity. Further, 33 cytokines or chemokines were found to be correlated with disease development and 11 of them were identified as potential therapeutic targets. Immuno-modulate the cytokine levels of IL-8, IL-10, BLC, MIP-3a, MCP-1, HGF, OPG, OPN, ENA-78, MDC and TGF-β 3 are supposed to be beneficial in curing H7N9 infected patients. Apart from the identification of 35 independent predictors for H7N9 prognosis, we further established a real-time prediction model with multi-cytokine factors for the first time based on maximal relevance minimal redundancy method, and this model was proved to be powerful in predicting whether the H7N9 infection was severe or fatal. It exhibited promising application in prognosing the outcome of a H7N9 infected patients and thus help doctors take effective treatment strategies accordingly.


Journal of Proteome Research | 2018

Quantitative Evaluation of Serum Proteins Uncovers a Protein Signature Related to Maturity-Onset Diabetes of the Young (MODY)

Muhadasi Tuerxunyiming; Feng Xian; Jin Zi; Yilihamujiang Yimamu; Reshalaiti Abuduwayite; Yan Ren; Qidan Li; Abulizi Abudula; Siqi Liu; Patamu Mohemaiti

Maturity-onset diabetes of the young (MODY) is an inherited monogenic type of diabetes. Genetic mutations in MODY often cause nonsynonymous changes that directly lead to the functional distortion of proteins and the pathological consequences. Herein, we proposed that the inherited mutations found in a MODY family could cause a disturbance of protein abundance, specifically in serum. The serum samples were collected from a Uyghur MODY family through three generations, and the serum proteins after depletion treatment were examined by quantitative proteomics to characterize the MODY-related serum proteins followed by verification using target quantification of proteomics. A total of 32 serum proteins were preliminarily identified as the MODY-related. Further verification test toward the individual samples demonstrated the 12 candidates with the significantly different abundance in the MODY patients. A comparison of the 12 proteins among the sera of type 1 diabetes, type 2 diabetes, MODY, and healthy subjects was conducted and revealed a protein signature related with MODY composed of the serum proteins such as SERPINA7, APOC4, LPA, C6, and F5.

Collaboration


Dive into the Yan Ren's collaboration.

Top Co-Authors

Avatar

Siqi Liu

Beijing Institute of Genomics

View shared research outputs
Top Co-Authors

Avatar

Huanming Yang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jin Zi

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jingqiang Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Ningzhi Xu

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jianning Yin

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Shuting Li

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Hao Wang

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jie Wen

Chinese Academy of Sciences

View shared research outputs
Top Co-Authors

Avatar

Jinxiu Liu

Chinese Academy of Sciences

View shared research outputs
Researchain Logo
Decentralizing Knowledge