1.Repaired effects of autotransplantation of bone marrow-derived neural stem cells on hippocampus of epilepsy rats
Huanming WANG ; Ruxiang XU ; Xiaodan JIANG
Journal of Clinical Neurology 1993;0(03):-
Objective To explore the repaired effects of autotransplantation of bone marrow-derived neural stem cells (BMSCs) on hippocampus of epilepsy rats.Methods Male SD rats were randomly divided into groups normal control (NC),graft and non-graft .Under sterile condition, the BMSCs of rats were isolated, and under specific condition the BMSCs were cultured to induce and differentiate into neural stem cells(NSCs). Then the models of temporal lobe epilepsy were established in groups graft and non-graft , and the NSCs were autotransplanted into the right hippocampus of rats of graft group. The morphological changes of the hippocampus were observed at 1,2 ,4,8,16 weeks after the transplantation respectively.Results The number of hippocampal CA3 pyramid cells of groups non-graft and graft significantly decreased than that in NC group(all P
2.The serum metabolomic profile in elderly overweight patients with metabolic syndrome
Weidong SU ; Tao FANG ; Chen XU ; Yabin CUI ; Huanming LI
Chinese Journal of Geriatrics 2022;41(5):512-516
Objective:To examine differences in metabolic characteristics and metabolites between elderly overweight patients with metabolic syndrome and healthy elderly people, and to identify related factors.Methods:A group of 36 MS patients(the MS group)admitted to The Fourth Central Hospital of Tianjin from April to August 2018 and 43 elderly people(the control group)who underwent physical examination during the same period were included in this prospective study.Serum samples of the patients with metabolic syndrome and elderly healthy controls were collected, and ultra-performance liquid chromatography and quadrupole time-of-flight mass spectrometry(UPLC-Q-TOF/MS)based non-targeted metabolomics was used to search for differences in metabolites between the serum samples of the two groups.The Pearson correlation statistical method was used to find related clinical factors.Results:Comparison of baseline data of the enrolled participants showed that there were statistically significant differences between the two groups in body mass index[(26.9±2.0)kg/m 2vs.(21.7±1.4)kg/m 2], waist circumference, systolic blood pressure, fasting blood glucose, triglycerides and high-density lipoprotein cholesterol( P<0.01). Metabolomics results showed that there were differences in 65 serum metabolites between elderly overweight patients with metabolic syndrome and elderly normal controls, and these differences were enriched in 21 pathways.Correlation analysis showed that waist circumference had the largest number of differential metabolites, followed by body mass index.The major differential metabolites were monosaccharides such as mannose, lyxose and glucose, linolenic acid and its derivatives, and pyroglutamate. Conclusions:Compared with normal elderly people, elderly patients with overweight metabolic syndrome have a variety of differential metabolites, and these metabolites are highly correlated with clinical indicators related to overweight, such as body mass index and waist circumference, and they include monosaccharides, linolenic acid derivatives and amino acids.
3.Evolution and variation of the SARS-CoV genome.
Jianfei HU ; Jing WANG ; Jing XU ; Wei LI ; Yujun HAN ; Yan LI ; Jia JI ; Jia YE ; Zhao XU ; Zizhang ZHANG ; Wei WEI ; Songgang LI ; Jun WANG ; Jian WANG ; Jun YU ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(3):216-225
Knowledge of the evolution of pathogens is of great medical and biological significance to the prevention, diagnosis, and therapy of infectious diseases. In order to understand the origin and evolution of the SARS-CoV (severe acute respiratory syndrome-associated coronavirus), we collected complete genome sequences of all viruses available in GenBank, and made comparative analyses with the SARS-CoV. Genomic signature analysis demonstrates that the coronaviruses all take the TGTT as their richest tetranucleotide except the SARS-CoV. A detailed analysis of the forty-two complete SARS-CoV genome sequences revealed the existence of two distinct genotypes, and showed that these isolates could be classified into four groups. Our manual analysis of the BLASTN results demonstrates that the HE (hemagglutinin-esterase) gene exists in the SARS-CoV, and many mutations made it unfamiliar to us.
Amino Acid Motifs
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Amino Acid Substitution
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Base Composition
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Codon
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genetics
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Computational Biology
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DNA Mutational Analysis
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Evolution, Molecular
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Gene Transfer, Horizontal
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Genetic Variation
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Genome, Viral
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Phylogeny
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SARS Virus
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genetics
4.Clinical efficacy of patient-specific instrumentation assisted unicompartmental knee arthroplasty
Xiangyu MENG ; Zhixue WANG ; Peng WU ; Huanming FANG ; Peng ZHAO ; Xu WANG ; Yong DING
Chinese Journal of Orthopaedics 2024;44(22):1441-1449
Objective:To investigate the postoperative prosthesis position and early clinical efficacy of 3D printing patient-specific instrumentation (PSI)-assisted unicompartmental knee arthroplasty (UKA).Methods:The clinical data of 15 patients (17 knees, PSI group) with medial compartment knee osteoarthritis who underwent PSI-assisted UKA in the Second Affiliated Hospital, the Air Force Medical University from May to August 2023 were retrospectively analyzed, matched with fifteen patients (17 knees, non-PSI group) with medial compartment knee osteoarthritis undergoing conventional UKA. The differences in the prosthesis placement positions in the postoperative X-ray films between the two groups were compared, including the coronal varus-valgus angles of the tibial and femoral prostheses, the sagittal posterior inclination angle of the tibial prosthesis, the flexion-extension angle of the femoral prosthesis, and the height of the reconstructed joint line. The indicators related to the lower limb alignment (including the femoral valgus angle, the lateral femoral angle, the hip-knee-ankle angle, and the femur-tibia angle) and the range of motion of the knee joint before and after the operation were compared. The Oxford knee score (OKS), American Knee Society (AKS) knee score and function score, and the visual analogue scale (VAS) were used to evaluate the clinical effects of the two groups.Results:In the PSI group, the coronal varus-valgus angle of the tibial prosthesis was 1.6°±0.3° after the operation, and the sagittal posterior inclination angle was 5.7°±0.8°. The coronal varus-valgus angle of the femoral prosthesis was -0.5°±1.5°, and the sagittal flexion-extension angle was 4.0°±1.9°. In the non-PSI group, the corresponding angles were 2.3°±0.6°, 4.5°±1.0°, 1.4°±1.5°, and 7.3°±2.2° respectively with significant differences between the two groups ( P<0.05). The OKS of the PSI group before and after the operation were 26.5±1.8 and 38.6±4.1 points respectively. The AKS knee score were 56.9±8.6 and 89.2±7.2 points. The AKS function score were 70.1±4.2 and 77.5±9.4 points. The VAS were 4.5±3.7 and 2.3±0.3 points, and the range of motion of the knee joint were 115.2°±4.8° and 125.9°±4.6° with significant differences ( P<0.05). The OKS of the non-PSI group before and after the operation were 25.3±6.2 and 38.2±3.5 points respectively. The AKS knee score were 50.6±9.3 and 84.5±6.6 points. The AKS function score were 73.4±3.9 and 77.2±4.8 points. The VAS were 5.8±2.4 and 2.5±1.6 points, and the range of motion of the knee joint were 113.6°±6.7° and 122.3°±5.0° with significant differences ( P<0.05). There were inter-group differences in the AKS knee score and the range of motion of the knee joint after the operation between the two groups with significant differences ( P<0.05). Conclusion:PSI guides-assisted UKA can effectively correct the lower limb alignment of patients and improve knee joint function with good short-term efficacy. Compared with conventional UKA, PSI guides-assisted UKA is less time-consuming with higher precision in prosthesis installation position and fewer post-operative complications.
5.The R protein of SARS-CoV: analyses of structure and function based on four complete genome sequences of isolates BJ01-BJ04.
Zuyuan XU ; Haiqing ZHANG ; Xiangjun TIAN ; Jia JI ; Wei LI ; Yan LI ; Wei TIAN ; Yujun HAN ; Lili WANG ; Zizhang ZHANG ; Jing XU ; Wei WEI ; Jingui ZHU ; Haiyan SUN ; Xiaowei ZHANG ; Jun ZHOU ; Songgang LI ; Jun WANG ; Jian WANG ; Shengli BI ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(2):155-165
The R (replicase) protein is the uniquely defined non-structural protein (NSP) responsible for RNA replication, mutation rate or fidelity, regulation of transcription in coronaviruses and many other ssRNA viruses. Based on our complete genome sequences of four isolates (BJ01-BJ04) of SARS-CoV from Beijing, China, we analyzed the structure and predicted functions of the R protein in comparison with 13 other isolates of SARS-CoV and 6 other coronaviruses. The entire ORF (open-reading frame) encodes for two major enzyme activities, RNA-dependent RNA polymerase (RdRp) and proteinase activities. The R polyprotein undergoes a complex proteolytic process to produce 15 function-related peptides. A hydrophobic domain (HOD) and a hydrophilic domain (HID) are newly identified within NSP1. The substitution rate of the R protein is close to the average of the SARS-CoV genome. The functional domains in all NSPs of the R protein give different phylogenetic results that suggest their different mutation rate under selective pressure. Eleven highly conserved regions in RdRp and twelve cleavage sites by 3CLP (chymotrypsin-like protein) have been identified as potential drug targets. Findings suggest that it is possible to obtain information about the phylogeny of SARS-CoV, as well as potential tools for drug design, genotyping and diagnostics of SARS.
Amino Acid Sequence
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Base Composition
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Base Sequence
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Cluster Analysis
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Computational Biology
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Conserved Sequence
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genetics
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Evolution, Molecular
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Gene Components
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Genome, Viral
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Molecular Sequence Data
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Mutation
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genetics
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Phylogeny
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Protein Structure, Tertiary
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RNA Replicase
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genetics
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SARS Virus
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genetics
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Sequence Analysis, DNA
6.Gene identification and expression analysis of 86,136 Expressed Sequence Tags (EST) from the rice genome.
Yan ZHOU ; Jiabin TANG ; Michael G WALKER ; Xiuqing ZHANG ; Jun WANG ; Songnian HU ; Huayong XU ; Yajun DENG ; Jianhai DONG ; Lin YE ; Li LIN ; Jun LI ; Xuegang WANG ; Hao XU ; Yibin PAN ; Wei LIN ; Wei TIAN ; Jing LIU ; Liping WEI ; Siqi LIU ; Huanming YANG ; Jun YU ; Jian WANG
Genomics, Proteomics & Bioinformatics 2003;1(1):26-42
Expressed Sequence Tag (EST) analysis has pioneered genome-wide gene discovery and expression profiling. In order to establish a gene expression index in the rice cultivar indica, we sequenced and analyzed 86,136 ESTs from nine rice cDNA libraries from the super hybrid cultivar LYP9 and its parental cultivars. We assembled these ESTs into 13,232 contigs and leave 8,976 singletons. Overall, 7,497 sequences were found similar to existing sequences in GenBank and 14,711 are novel. These sequences are classified by molecular function, biological process and pathways according to the Gene Ontology. We compared our sequenced ESTs with the publicly available 95,000 ESTs from japonica, and found little sequence variation, despite the large difference between genome sequences. We then assembled the combined 173,000 rice ESTs for further analysis. Using the pooled ESTs, we compared gene expression in metabolism pathway between rice and Arabidopsis according to KEGG. We further profiled gene expression patterns in different tissues, developmental stages, and in a conditional sterile mutant, after checking the libraries are comparable by means of sequence coverage. We also identified some possible library specific genes and a number of enzymes and transcription factors that contribute to rice development.
Arabidopsis
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genetics
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DNA, Complementary
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metabolism
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Databases as Topic
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Expressed Sequence Tags
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Gene Library
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Genome, Plant
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Genomics
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methods
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Multigene Family
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Open Reading Frames
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Oryza
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genetics
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Quality Control
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Software
7.Genome organization of the SARS-CoV.
Jing XU ; Jianfei HU ; Jing WANG ; Yujun HAN ; Yongwu HU ; Jie WEN ; Yan LI ; Jia JI ; Jia YE ; Zizhang ZHANG ; Wei WEI ; Songgang LI ; Jun WANG ; Jian WANG ; Jun YU ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(3):226-235
Annotation of the genome sequence of the SARS-CoV (severe acute respiratory syndrome-associated coronavirus) is indispensable to understand its evolution and pathogenesis. We have performed a full annotation of the SARS-CoV genome sequences by using annotation programs publicly available or developed by ourselves. Totally, 21 open reading frames (ORFs) of genes or putative uncharacterized proteins (PUPs) were predicted. Seven PUPs had not been reported previously, and two of them were predicted to contain transmembrane regions. Eight ORFs partially overlapped with or embedded into those of known genes, revealing that the SARS-CoV genome is a small and compact one with overlapped coding regions. The most striking discovery is that an ORF locates on the minus strand. We have also annotated non-coding regions and identified the transcription regulating sequences (TRS) in the intergenic regions. The analysis of TRS supports the minus strand extending transcription mechanism of coronavirus. The SNP analysis of different isolates reveals that mutations of the sequences do not affect the prediction results of ORFs.
Amino Acid Substitution
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Base Composition
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Base Sequence
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Computational Biology
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methods
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Genome, Viral
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Isoelectric Point
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Models, Genetic
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Molecular Sequence Data
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Molecular Weight
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Open Reading Frames
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SARS Virus
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genetics
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Sequence Analysis
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Transcription, Genetic
8.The structure analysis and antigenicity study of the N protein of SARS-CoV.
Jingqiang WANG ; Jia JI ; Jia YE ; Xiaoqian ZHAO ; Jie WEN ; Wei LI ; Jianfei HU ; Dawei LI ; Min SUN ; Haipan ZENG ; Yongwu HU ; Xiangjun TIAN ; Xuehai TAN ; Ningzhi XU ; Changqing ZENG ; Jian WANG ; Shengli BI ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(2):145-154
The Coronaviridae family is characterized by a nucleocapsid that is composed of the genome RNA molecule in combination with the nucleoprotein (N protein) within a virion. The most striking physiochemical feature of the N protein of SARS-CoV is that it is a typical basic protein with a high predicted pI and high hydrophilicity, which is consistent with its function of binding to the ribophosphate backbone of the RNA molecule. The predicted high extent of phosphorylation of the N protein on multiple candidate phosphorylation sites demonstrates that it would be related to important functions, such as RNA-binding and localization to the nucleolus of host cells. Subsequent study shows that there is an SR-rich region in the N protein and this region might be involved in the protein-protein interaction. The abundant antigenic sites predicted in the N protein, as well as experimental evidence with synthesized polypeptides, indicate that the N protein is one of the major antigens of the SARS-CoV. Compared with other viral structural proteins, the low variation rate of the N protein with regards to its size suggests its importance to the survival of the virus.
Amino Acid Motifs
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genetics
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Amino Acid Sequence
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Antigens, Viral
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immunology
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Base Composition
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Base Sequence
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Cluster Analysis
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Computational Biology
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DNA Primers
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Enzyme-Linked Immunosorbent Assay
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Genetic Variation
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Molecular Sequence Data
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Nucleocapsid Proteins
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genetics
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immunology
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metabolism
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Phosphorylation
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SARS Virus
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genetics
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Sequence Analysis, DNA
9.The E protein is a multifunctional membrane protein of SARS-CoV.
Qingfa WU ; Yilin ZHANG ; Hong LÜ ; Jing WANG ; Ximiao HE ; Yong LIU ; Chen YE ; Wei LIN ; Jianfei HU ; Jia JI ; Jing XU ; Jie YE ; Yongwu HU ; Wenjun CHEN ; Songgang LI ; Jun WANG ; Jian WANG ; Shengli BI ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(2):131-144
The E (envelope) protein is the smallest structural protein in all coronaviruses and is the only viral structural protein in which no variation has been detected. We conducted genome sequencing and phylogenetic analyses of SARS-CoV. Based on genome sequencing, we predicted the E protein is a transmembrane (TM) protein characterized by a TM region with strong hydrophobicity and alpha-helix conformation. We identified a segment (NH2-_L-Cys-A-Y-Cys-Cys-N_-COOH) in the carboxyl-terminal region of the E protein that appears to form three disulfide bonds with another segment of corresponding cysteines in the carboxyl-terminus of the S (spike) protein. These bonds point to a possible structural association between the E and S proteins. Our phylogenetic analyses of the E protein sequences in all published coronaviruses place SARS-CoV in an independent group in Coronaviridae and suggest a non-human animal origin.
Amino Acid Sequence
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Base Sequence
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Cluster Analysis
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Codon
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genetics
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Gene Components
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Genome, Viral
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Membrane Glycoproteins
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metabolism
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Membrane Proteins
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genetics
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metabolism
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Molecular Sequence Data
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Phylogeny
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Protein Conformation
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SARS Virus
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genetics
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Sequence Alignment
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Sequence Analysis, DNA
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Sequence Homology
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Spike Glycoprotein, Coronavirus
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Viral Envelope Proteins
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genetics
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metabolism
10.The structural characterization and antigenicity of the S protein of SARS-CoV.
Jingxiang LI ; Chunqing LUO ; Yajun DENG ; Yujun HAN ; Lin TANG ; Jing WANG ; Jia JI ; Jia YE ; Fanbo JIANG ; Zhao XU ; Wei TONG ; Wei WEI ; Qingrun ZHANG ; Shengbin LI ; Wei LI ; Hongyan LI ; Yudong LI ; Wei DONG ; Jian WANG ; Shengli BI ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(2):108-117
The corona-like spikes or peplomers on the surface of the virion under electronic microscope are the most striking features of coronaviruses. The S (spike) protein is the largest structural protein, with 1,255 amino acids, in the viral genome. Its structure can be divided into three regions: a long N-terminal region in the exterior, a characteristic transmembrane (TM) region, and a short C-terminus in the interior of a virion. We detected fifteen substitutions of nucleotides by comparisons with the seventeen published SARS-CoV genome sequences, eight (53.3%) of which are non-synonymous mutations leading to amino acid alternations with predicted physiochemical changes. The possible antigenic determinants of the S protein are predicted, and the result is confirmed by ELISA (enzyme-linked immunosorbent assay) with synthesized peptides. Another profound finding is that three disulfide bonds are defined at the C-terminus with the N-terminus of the E (envelope) protein, based on the typical sequence and positions, thus establishing the structural connection with these two important structural proteins, if confirmed. Phylogenetic analysis reveals several conserved regions that might be potent drug targets.
Amino Acid Sequence
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Antigens, Viral
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immunology
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Base Composition
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Computational Biology
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Enzyme-Linked Immunosorbent Assay
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Membrane Glycoproteins
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genetics
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Molecular Sequence Data
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Mutation
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genetics
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Phylogeny
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Protein Structure, Tertiary
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SARS Virus
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genetics
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immunology
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Sequence Analysis, DNA
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Sequence Homology
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Spike Glycoprotein, Coronavirus
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Viral Envelope Proteins
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genetics
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metabolism