1.HPLC Fingerprints of Compound Yinchen Granules Based on Detection Wavelength Switching Technology
Lixia SHEN ; Yanwei FU ; Songgang JI ; Mingchun LI ; Yanqin CHENG
China Pharmacist 2018;21(10):1769-1775
Objective: To establish the HPLC fingerprints of compound Yinchen granules. Methods: The column was Agilent SB-C18(250 mm×4. 6 mm, 5 μm) and the mobile phase was acetonitrile (A)-0. 2% phosphoric acid solution (B) with gradient elution at a flow rate of 1. 0 ml·min-1. The column temperature was 25℃. The detection wavelength switching technology was used in 180-mi-nute elution time. Results: The HPLC fingerprints of compound Yinchen granules were established. Twenty-two common peaks were confirmed, of which five peaks were identified and 18 peaks were assigned to each crude drug. The overall similarity of the fingerprints of 10 batches of samples was 0. 9 or more when compared with the control map. Conclusion: The fingerprints of compound Yinchen granules can provide reference for the overall quality control of compound Yinchen granules.
2.Improvement of Quality Standard for Weiling Granules
Yanqin CHENG ; Songgang JI ; Liyan ZHAO ; Mingchun LI
China Pharmacist 2015;18(10):1720-1723
Objective:To re-establish the quality control standard for Weiling granules. Methods:The 4 chief herbs in the prepa-ration, radices paeoniae alba, licorice, rhizoma corydalis and hawthorn were identified by TLC qualitatively. The content of paeoniflor-in in radices paeoniae alba was determined by HPLC. The separation was performed on an Agilent XDB-C18 (250 mm × 4. 6 mm, 5μm)coulme with mobile phase consisting of acetonitrile-0. 1% phosphoric acid solution (10:90). The detection wavelength was 230 nm and the flow rate was 1. 0 ml·min-1 . Results:The spots in TLC were clear without any interference. The linear range for paeoni-florin was 0. 151-1. 212 μg(r=0. 999 9,n=5). The average recovery was 99. 63% and RSD was 2. 01%(n=9). Conclusion:The method is simple and accurate with high reproducibility, which can be used for the quality control of Weiling granules.
3.L-carnitine alleviating cisplatin induced acute kidney injury through serum metabolomics analysis
Songgang JI ; Qiong WU ; Zhenyu ZHU ; Xin DONG ; Zhanying HONG ; Yifeng CHAI
Journal of Pharmaceutical Practice 2015;(5):429-433
Objective To explore specific variables related to cisplatin induced acute kidney injury ,serum metabonomics techniques were applied and simultaneously the value of intervention effects of L-carnitine were appraised .Methods 19 mice were divided into the normal control group ,model group ,and intervention group ,After a three day accommodation period ,the intervention group was given L-carnitine (400 mg/kg ,ip) .Two days later ,cisplatin (20 mg/kg ,ip) was given to the model and intervention groups .The body weight of every mouse in each group was measured daily .Two days after the serum sample of each mice was collected and analyzed by LC-MS ,pattern recognition analysis of metabolomics differences among the groups , and the effectiveness of L-carnitine intervention were evaluated .Results A total of 28 metabolites were identified through ser-um metabolomics analysis .Our data shows that there is a possible mechanism that cisplatin induced AKI was mainly involved in changing phospholipids ,amino acid and fatty acid metabolic pathways and L-carnitine mitigates the damage of acute kidney in-jury induced by cisplatin .Conclusion L-carnitinecan alleviates cisplatin induced acute kidney injury by regulating tryptophan metabolism ,glutamate metabolism ,and energy metabolism .
4.Comparative Study on Concentration Monitoring of CsA in Human Whole Blood by EMIT and HPLC
Xia XU ; Songgang JI ; Xiangyu HOU ; Ping LENG ; Chunyan WANG
China Pharmacist 2014;(12):2003-2006
Objective:To compare the difference and correlation of HPLC and enzyme-multiplied immunoassay test( EMIT) for the determination of CsA in human whole blood. Methods:A total of 119 clinical samples at different concentrations of CsA were collected and respectively determined by HPLC and EMIT. The difference and correlation of the two determination methods were investigated. Results:There was significant difference in the blood concentrations of CsA determined by HPLC and EMIT(P<0. 05). CsA concen-tration determined by EMIT was 26. 2 ng·ml-1 higher than that determined by HPLC, and 95% CI was (14. 6-37. 7) ng·ml-1 . A satisfactory correlation was achieved between the two methods(r=0. 997 4). Conclusion:There is statistically significant difference in the CsA concentration in whole blood respectively determined by EMIT and HPLC. Attention should be paid to CsA monitoring by E-MIT and HPLC, and relevant adjustment should be carried out.
5.Screening of potential active anti-cancer components of Brucea javanica by SMMC-7721 and Hep-G2 comprehensive two dimensional CMC-monolith chro-matography
Songgang JI ; Xuan DING ; Yan CAO ; Xiaofei CHEN ; Dan JIA ; Dongyao WANG ; Yifeng CHAI
Journal of Pharmaceutical Practice 2014;(6):425-427,433
Objective To screen potential active anti-cancer components of Brucea javanica.Methods This research has em-ployed comprehensive two dimensional chromatographic technology and cell membrane chromatographic technology simultaneously with mass spectrometry as detector .Results Adenosine and Bruceine B were found to be potentially anti-cancer active .Conclusion This study has combined the advantages of online , high speed and high throughput for the screen of potential active components of traditional Chinese medicine .
6.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
;
Base Composition
;
Base Sequence
;
Computational Biology
;
methods
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Genome, Viral
;
Isoelectric Point
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Models, Genetic
;
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
7.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
;
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
;
genetics
8.Complete genome sequences of the SARS-CoV: the BJ Group (Isolates BJ01-BJ04).
Shengli BI ; E'de QIN ; Zuyuan XU ; Wei LI ; Jing WANG ; Yongwu HU ; Yong LIU ; Shumin DUAN ; Jianfei HU ; Yujun HAN ; Jing XU ; Yan LI ; Yao YI ; Yongdong ZHOU ; Wei LIN ; Hong XU ; Ruan LI ; Zizhang ZHANG ; Haiyan SUN ; Jingui ZHU ; Man YU ; Baochang FAN ; Qingfa WU ; Wei LIN ; Lin TANG ; Baoan YANG ; Guoqing LI ; Wenming PENG ; Wenjie LI ; Tao JIANG ; Yajun DENG ; Bohua LIU ; Jianping SHI ; Yongqiang DENG ; Wei WEI ; Hong LIU ; Zongzhong TONG ; Feng ZHANG ; Yu ZHANG ; Cui'e WANG ; Yuquan LI ; Jia YE ; Yonghua GAN ; Jia JI ; Xiaoyu LI ; Xiangjun TIAN ; Fushuang LU ; Gang TAN ; Ruifu YANG ; Bin LIU ; Siqi LIU ; Songgang LI ; Jun WANG ; Jian WANG ; Wuchun CAO ; Jun YU ; Xiaoping DONG ; Huanming YANG
Genomics, Proteomics & Bioinformatics 2003;1(3):180-192
Beijing has been one of the epicenters attacked most severely by the SARS-CoV (severe acute respiratory syndrome-associated coronavirus) since the first patient was diagnosed in one of the city's hospitals. We now report complete genome sequences of the BJ Group, including four isolates (Isolates BJ01, BJ02, BJ03, and BJ04) of the SARS-CoV. It is remarkable that all members of the BJ Group share a common haplotype, consisting of seven loci that differentiate the group from other isolates published to date. Among 42 substitutions uniquely identified from the BJ group, 32 are non-synonymous changes at the amino acid level. Rooted phylogenetic trees, proposed on the basis of haplotypes and other sequence variations of SARS-CoV isolates from Canada, USA, Singapore, and China, gave rise to different paradigms but positioned the BJ Group, together with the newly discovered GD01 (GD-Ins29) in the same clade, followed by the H-U Group (from Hong Kong to USA) and the H-T Group (from Hong Kong to Toronto), leaving the SP Group (Singapore) more distant. This result appears to suggest a possible transmission path from Guangdong to Beijing/Hong Kong, then to other countries and regions.
Genome, Viral
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Haplotypes
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Humans
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Mutation
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Open Reading Frames
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Phylogeny
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SARS Virus
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genetics
9.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
;
Computational Biology
;
Conserved Sequence
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genetics
;
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
;
genetics
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Sequence Analysis, DNA
10.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
;
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
;
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
;
genetics
;
metabolism

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