Co-regulatory mechanisms and potential markers of oxidative stress-related genes in vitiligo and alopecia areata.

BACKGROUND: The specific role of oxidative stress (OS) in vitiligo and alopecia areata (AA) remains unclear. The aim of this study was to analyze and identify the key markers of OS in vitiligo and AA by bioinformatics. METHODS: We obtained vitiligo and AA datasets from gene expression omnibus (GEO) database. The difference-expressed genes of vitiligo and AA were identified by differential analysis, and the functions of difference-expressed genes were identified by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) enrichment analysis. Subsequently, Veen package was used to obtain the intersection genes of OS-related genes with vitiligo and AA. Finally, we used CIBERSORT to assess the infiltration of immune cells in vitiligo and AA. RESULTS: Through enrichment analysis, we found that vitiligo and AA were mainly enriched in cell cycle and cell adhesion molecular channels. We identified KLB and EIF3C as key genes in OS regulation of vitiligo and AA, and found that KLB and EIF3C participate in disease progression by regulating T cells and neutrophils. CONCLUSIONS: According to our findings, KLB and EIF3C play a crucial role in the progression and development of vitiligo and AA, which have been identified as biomarkers and target for early diagnosis of patients.

Network pharmacology and experimental validation to explore the role and potential mechanism of Liuwei Dihuang Decoction in prostate cancer.

OBJECTIVE: To evaluate the anti-tumor effector of Liuwei Dihuang Decoction (LWDHD) in prostate cancer (PCa) and explore the potential mechanism using experimental validation, network pharmacology, bioinformatics analysis, and molecular docking. METHODS: CCK test, Clone formation assay and wound-healing assays were used to determine the effect of LWDHD on prostate cancer growth and metastasis. The active ingredients and targets of LWDHD were obtained from the TCMSP database, and the relevant targets were selected by GeneCards, OMIM and DisGeNET databases for PCa. The cross-targets of drugs and disease were imported into the STRING database to construct protein interactions. The network was also visualized using Cytoscape software and core targets are screened using the Network Analyzer plug-in. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment were analyzed using R software. TCGA database was used to analyze the correlation of bioinformatics genes. AutoDock vina was used to predict the molecular docking and binding ability of active ingredients to key targets. Through WB and q-PCR experiments, the above gene targets were detected to verify the effect of LWDHD on PCa. RESULTS: CCK and scratch tests confirmed that LWDHD could inhibit the proliferation, invasion and migration of prostate cancer cells. Clone formation experiments showed that LWDHD inhibited the long-term proliferative capacity of PC3 cells. LWDHD and PCa had a total of 99 common targets, establishing a "drug-ingredient-common target" network. Through GO and KEGG enrichment analysis, PI3K/AKT, MAPK, TP53 pathway, MYC, TNF pathway and other signaling pathways were found. Bioinformatics analysis showed that MYC gene was highly expressed and CCND1 and MAPK1 were low expressed in prostate cancer tissues. In addition, TP53, AKT1, MYC, TNF and CCND1 were positively correlated with MAPK1, among which AKT1 and CCND1 were most closely correlated with MAPK1. Molecular docking results showed that quercetin, kaempferol, ß-sitosterol and other main active ingredients of LWDHD treatment for PCa were combined with core proteins MAPK1 and AKT1 well. WB and q-PCR results showed that LWDHD inhibited the expression of PI3K and AKT in PC3 cells. CONCLUSION: The mechanism of LWDHD therapy for PCa is a multi-target and multi-pathway complex process, which may be related to the biological processes mediated by MAPK1 and AKT1 pathways, such as cell proliferation and inhibition of metastasis, and the regulation of signaling pathways. The PI3K/AKT signaling pathway may be a central pathway of LWDHD to inhibit prostate cancer proliferation.

Comprehensive analysis revealed P4Hs as new biomarkers for prognosis and immunotherapy in head and neck cancer.

Prolyl 4-hydroxylases (P4Hs) are a family of key modifying enzymes in collagen synthesis. P4Hs have been confirmed to be closely associated with tumor occurrence and development. However, the expression of P4Hs in head and neck cancer (HNSC) as well as its relationship with prognosis and tumor immunity infiltration has not yet been analyzed. We investigated the transcriptional expression, survival data, and immune infiltration of P4Hs in patients with HNSC from multiple databases. P4H1-3 expression was significantly higher in HNSC tumor tissues than in normal tissues. Moreover, P4HA1 and P4HA2 were associated with tumor stage, patient prognosis, and immune cell infiltration. P4HA3 was related to patient prognosis and immune cell infiltration. Correlation experiments confirmed that P4HA1 may serve as a prognosis biomarker and plays a role in the progression of nasopharyngeal carcinoma. These findings suggest that P4HA1-3 may be a novel biomarker for the prognosis and treatment of HNSC, which is expected to support the development of new therapies for patients with head and neck tumors and improve patient outcomes.

Structural Study of the Exocyst Subunit Human Sec6.

In eukaryotic cells, vesicular transport plays a crucial role in the docking and fusion of secretory vesicles with their respective target membranes. This intricate process is dependent on a complex network of multiple molecules. One of the important processes is tethering. The exocyst complex facilitates the tethering of secretory vesicles to the plasma membrane during exocytosis. The Sec6 subunit in yeast interacts with other exocyst subunits and may regulate SNARE assembly, which is crucial for understanding the assembly mechanism of exocyst and its interaction with SNARE. In this study, we designed two truncated forms of HuSec6, HuSec6 121-734 and HuSec6 121-745, based on results of bioinformatics analysis. We expressed and purified the proteins in E. coli, obtaining a protein purity of over 95% and protein crystals. X-ray diffraction results showed a resolution of approximately 9 Å for the crystals, providing a solid foundation for the crystal structure analysis of HuSec6.

Tumor purity-associated genes influence hepatocellular carcinoma prognosis and tumor microenvironment.

Introduction: Tumor purity takes on critical significance to the progression of solid tumors. The aim of this study was at exploring potential prognostic genes correlated with tumor purity in hepatocellular carcinoma (HCC) by bioinformatics analysis. Methods: The ESTIMATE algorithm was applied for determining the tumor purity of HCC samples from The Cancer Genome Atlas (TCGA). The tumor purity-associated genes with differential expression (DEGs) were identified based on overlap analysis, weighted gene co-expression network analysis (WGCNA), and differential expression analysis. The prognostic genes were identified in terms of the prognostic model construction based on the Kaplan-Meier (K-M) survival analysis and Least Absolute Shrinkage and Selection Operator (LASSO) regression analyses. The expression of the above-described genes was further validated by the GSE105130 dataset from the Gene Expression Omnibus (GEO) database. We also characterized the clinical and immunophenotypes of prognostic genes. Gene set enrichment analysis (GSEA) was carried out for exploring the biological signaling pathway. Results: A total of 26 tumor purity-associated DEGs were identified, which were involved in biological processes such as immune/inflammatory responses and fatty acid elongation. Ultimately, we identified ADCK3, HK3, and PPT1 as the prognostic genes for HCC. Moreover, HCC patients exhibiting higher ADCK3 expression and lower HK3 and PPT1 expressions had a better prognosis. Furthermore, high HK3 and PPT1 expressions and low ADCK3 expression resulted in high tumor purity, high immune score, high stromal score, and high ESTIMATE score. GSEA showed that the abovementioned prognostic genes showed a significant correlation with immune-inflammatory response, tumor growth, and fatty acid production/degradation. Discussion: In conclusion, this study identified novel predictive biomarkers (ADCK3, HK3, and PPT1) and studied the underlying molecular mechanisms of HCC pathology initially.

Construction of circRNA-miRNA-mRNA Network Reveal Functional circRNAs and Key Genes in Acute Myeloid Leukemia.

Introduction: CircRNA is closely correlated with a wide variety of processes of acute myeloid leukemia (AML), whereas the novel circRNAs, their molecular mechanism and the specific function they played in AML should be explored in depth. Methods: The microarray chip data of AML patients and normal samples in the Gene Expression Omnibus (GEO) database were selected to differentially expressed (DE) circRNA, miRNA, and mRNA genes. The miRNA gene was the intersection of the circRNA target gene predicted using CSCD and the miRNA gene screened from AML patients, while the mRNA gene was the intersection of the target gene mRNA of miRNA predicted using miRanda and miRTarBase software and the mRNA gene screened from AML patients. The hub mRNAs related to survival were further screened through Cox proportional hazard regression. CircRNA/miRNA/mRNA interaction network was constructed by using Cytoscape software.10 circRNAs and 6 miRNAs in bone marrow mononuclear cells (BMMNCs) of AML patients (n=43) and healthy controls (n=35) were determined by RT-qPCR. Correlations between them were analyzed by Pearson correlation coefficient. Results: 10 circRNAs, 6 miRNAs, and 33 mRNAs were identified. Subsequently, the network of circRNAs, miRNAs, and hub genes was built using Cystoscope. Four key circRNAs, seven hub genes and their regulatory pathways were identified. The result of RT-qPCRs showed that hsa_circ_0009581 and hsa_circ_0005273 were significantly upregulated in AML patients while hsa_circ_0000497 and hsa_circ_0001947 were significantly downregulated. Hsa-miR-150-5p was significantly downregulated; hsa-miR-454-3p was upregulated in AML patients. Hsa_circ_0009581 and hsa-miR-150-5p; hsa_ circ_0001947 and hsa-miR-454-3p were inversely correlated using Pearson's correlation coefficient. Conclusion: This study suggests that differentially expressed circRNAs take on a critical significance to AML development and may be the effective therapeutic targets. We suppose that hsa_circ_0009581 promotes leukemia development through hsa-miR-150-5p and hsa_circ_0001947 through hsa-miR-454-3p. hsa_circ_0001947 and hsa_circ_0009581 may provide new directions in the pathogenesis of AML.

m6A-related lncRNA signature for predicting prognosis and immune response in head and neck squamous cell carcinoma.

OBJECTIVES: N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) significantly impact the prognosis and the response to immunotherapy in head and neck squamous cell carcinoma (HNSCC). Therefore, this study aimed to develop an m6A-related lncRNA (m6AlncRNA) model for predicting the prognosis and the immunotherapeutic response in HNSCC. METHODS: We identified the m6AlncRNAs and constructed a risk assessment signature by using univariable Cox, Least Absolute Shrinkage and Selection Operator (LASSO), and multivariate Cox regression analyses. The Kaplan-Meier analysis, receiver-operating characteristic (ROC) curves, principal component analysis (PCA), decision curve analysis (DCA), consistency index (C-index), and nomogram were applied to assess the risk model. Finally, we investigated the predictability of this model in prognosis and response to immunotherapy and evaluated various novel compounds for the clinical treatment of HNSCC. RESULTS: HNSCC patients were assigned to high- and low-risk groups based on the median risk scores, and the high- and low-risk groups had different clinical features, tumor immune infiltration status, tumor immune dysfunction and exclusion (TIDE), tumor mutational burden (TMB), sensitivity to novel potential compounds, and immunotherapeutic response. CONCLUSIONS: The model we developed was accurate and efficient in predicting the prognosis of patients with HNSCC. It was also sensitive in stratifying HNSCC patients with good response to immunotherapy. Therefore, our study provided insight into elucidating the processes and mechanisms of m6AlncRNAs.

Biological functions of RNA modification patterns that define tumor microenvironment and survival outcomes in testicular germ cell tumors.

BACKGROUND: Accumulating evidence has indicated that aberrant RNA modifications are associated with malignant progression and the immune microenvironment in various tumors. However, the function of RNA modification regulators in testicular germ cell tumors (TGCTs) remains to be discovered. This study aimed to investigate the biological functions of RNA modification regulators in testicular germ cell tumors and identify their potential clinical predictive value. METHODS: Expression level of 75 RNA modification regulators was acquired to generate differential expression patterns. RNA modification regulatory genes were applied to construct a progression-free survival (PFS) risk model. Meanwhile, three RNA modification clusters were identified using consensus clustering. Subsequently, the infiltration characteristics of cells in the microenvironment as well as the antitumor drug candidates have been further analyzed. Finally, to further validate our results, we examined the expression and biological behavior of seven selected RNA modification regulators both in TGCT cell lines and clinical tissues. RESULTS: We collected the differentially expressed regulators of RNA modification. RNA modification risk signature was developed to stratify the prognosis of TGCT patients. Furthermore, we found significant differences in immune microenvironment between subgroups. Ultimately, seven selected RNA modification regulators were further verified. CONCLUSIONS: We generated and validated a risk signature related to RNA modification which could accurately predict the relapse risk in TGCT patients. This risk signature was correlated with immune cells infiltration among tumor microenvironments. Furthermore, we screened antitumor drug candidates and evaluated the sensitivity and efficacy of class chemotherapeutic drugs, which could provide reference for clinical drug use.

mRNA and lncRNA expression profiles of liver tissues in children with biliary atresia.

Progressive liver fibrosis is the most common phenotype in biliary atresia (BA). A number of pathways contribute to the fibrosis process so comprehensive understanding the mechanisms of liver fibrosis in BA will pave the way to improve patient's outcome after operation. In this study, the differentially expressed profiles of mRNAs and long non-coding RNAs from BA and choledochal cyst (CC) liver tissues were investigated and analyzed, which may provide potential clues to clarify hepatofibrosis mechanism in BA. A total of two BA and two CC liver tissue specimens were collected, the expression level of mRNAs and lncRNAs was detected by RNA sequencing. Differentially expressed mRNAs (DEmRNAs) were functionally annotated and protein-protein interaction networks (PPI) was established to predict the biological roles and interactive relationships. Differentially expressed lncRNAs (DElncRNAs) nearby targeted DEmRNA network and DElncRNA-DEmRNA co-expression network were constructed to further explore the roles of DElncRNAs in BA pathogenesis. The expression profiles of significant DEmRNAs were validated in Gene Expression Omnibus database. A total of 2,086 DEmRNAs and 184 DElncRNAs between BA and CC liver tissues were obtained. DEmRNAs were enriched in 521 Gene Ontology terms and 71 Kyoto Encyclopedia of Genes and Genomes terms which were mainly biological processes and metabolic pathways related to immune response and inflammatory response. A total of five hub proteins (TYRO protein tyrosine kinase binding protein, C-X-C motif chemokine ligand 8, pleckstrin, Toll-like receptor 8 and C-C motif chemokine receptor 5) were found in the PPI networks. A total of 31 DElncRNA-nearby-targeted DEmRNA pairs and 2,337 DElncRNA-DEmRNA co-expression pairs were obtained. The expression of DEmRNAs obtained from RNA sequencing were verified in GSE46960 dataset, generally. The present study identified key genes and lncRNAs participated in BA associated liver fibrosis, which may present a new avenue for understanding the patho-mechanism for hepatic fibrosis in BA.

Molecular Subtypes and Prognostic Signature of Pyroptosis-Related lncRNAs in Glioma Patients.

The relationship between pyroptosis-related long non-coding RNAs (pyroptosis-related lncRNAs) and glioma prognosis have not been studied clearly. Basing on The Cancer Genome Atlas and The Chinese Glioma Genome Atlas datasets, we firstly identified 23 pyroptosis-related lncRNAs with Pearson coefficient |r| > 0.5 and p < 0.001. The survival probability was lower in cluster 1. 13 lncRNAs was included into signature and divided all the glioma patients into two groups, among which survival probability of the high-risk group was lower than that in low-risk group (P<0.001). The risk score was higher in the age>60, dead grade 3, cluster 1 and immune score high groups. Furthermore, subgroup analysis showed patients with different grades, IDH and 1p19ql state distinguished by the median of risk score had different survival probability. Risk score was one of independent factors for glioma prognosis, and 1-, 3-, 5-years survival were calculated in nomogram. Meanwhile, the same as the median risk score in TCGA cohort, the glioma patients from CGGA were categorized into two groups and validated the outcome mentioned above(P<0.01). GO and KEGG analysis revealed the immunity process of the targeted genes. Thus, the immune filtration we compared showed naive B cell, resting dendritic cells, activated NK cells, activated Mast cells, monocytes are higher in low-risk group. Moreover, level of the activated NK cells, M0-and M1 Macrophages was in positive relationship with the risk score. Besides, competing endogenous RNA (ceRNA) network display interaction among microRNA, lncRNAs and their targeted genes. Pyroptosis-related lncRNAs could be a dependent prognosis factor and maybe linked to the immune response in glioma. This prognosis signature had potential value in estimate the survival of the patients with glioma.

Immune-Related lncRNA Signature for Predicting the Immune Landscape of Head and Neck Squamous Cell Carcinoma.

Background: Long non-coding RNA (lncRNA) plays a significant role in the development, establishment, and progression of head and neck squamous cell carcinoma (HNSCC). This article aims to develop an immune-related lncRNA (irlncRNA) model, regardless of expression levels, for risk assessment and prognosis prediction in HNSCC patients. Methods: We obtained clinical data and corresponding full transcriptome expression of HNSCC patients from TCGA, downloaded GTF files to distinguish lncRNAs from Ensembl, discerned irlncRNAs based on co-expression analysis, distinguished differentially expressed irlncRNAs (DEirlncRNAs), and paired these DEirlncRNAs. Univariate Cox regression analysis, LASSO regression analysis, and stepwise multivariate Cox regression analysis were then performed to screen lncRNA pairs, calculate the risk coefficient, and establish a prognosis model. Finally, the predictive power of this model was validated through the AUC and the ROC curves, and the AIC values of each point on the five-year ROC curve were calculated to select the maximum inflection point, which was applied as a cut-off point to divide patients into low- or high-risk groups. Based on this methodology, we were able to more effectively differentiate between these groups in terms of survival, clinico-pathological characteristics, tumor immune infiltrating status, chemotherapeutics sensitivity, and immunosuppressive molecules. Results: A 13-irlncRNA-pair signature was built, and the ROC analysis demonstrated high sensitivity and specificity of this signature for survival prediction. The Kaplan-Meier analysis indicated that the high-risk group had a significantly shorter survival rate than the low-risk group, and the chi-squared test certified that the signature was highly related to survival status, clinical stage, T stage, and N stage. Additionally, the signature was further proven to be an independent prognostic risk factor via the Cox regression analyses, and immune infiltrating analyses showed that the high-risk group had significant negative relationships with various immune infiltrations. Finally, the chemotherapeutics sensitivity and the expression level of molecular markers were also significantly different between high- and low-risk groups. Conclusion: The signature established by paring irlncRNAs, with regard to specific expression levels, can be utilized for survival prediction and to guide clinical therapy in HNSCC.

Four Immune-Related Long Non-coding RNAs for Prognosis Prediction in Patients With Hepatocellular Carcinoma.

BACKGROUND: Long non-coding RNA (LncRNA) plays an important role in the occurrence and development of hepatocellular carcinoma (HCC). This study aims to establish an immune-related LncRNA model for risk assessment and prognosis prediction in HCC patients. METHODS: Hepatocellular carcinoma patient samples with complete clinical data and corresponding whole transcriptome expression were obtained from the Cancer Genome Atlas (TCGA). Immune-related genes were acquired from the Gene Set Enrichment Analysis (GSEA) website and matched with LncRNA in the TCGA to get immune-related LncRNA. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used for screening the candidate LncRNAs and calculating the risk coefficient to establish the prognosis model. Patients were divided into a high-risk group and a low-risk group depending on the median risk score. The reliability of the prediction was evaluated in the validation cohort and the whole cohort. GSEA and principal component analysis were used for function evaluation. RESULTS: A total of 319 samples met the screening criteria and were randomly distributed across the training cohort and the validation cohort. After comparison with the IMMUNE_RESPONSE gene set and the IMMUNE_SYSTEM_PROCESS gene set, a total of 3094 immune-related LncRNAs were screened. Ultimately, four immune-related LncRNAs were used to construct a formula using LASSO regression. According to the formula, the low-risk group showed a higher survival rate than the high-risk group in the validation cohort and the whole cohort. The receiver operating characteristic curves data demonstrated that the risk score was more specific than other traditional clinical characteristics in predicting the 5-year survival rate for HCC. CONCLUSION: The four-immune-related-LncRNA model can be used for survival prediction in HCC and guide clinical therapy.

An integrated strategy for ascertaining quality marker of Schisandra chinensis (Turcz.) Baill based on correlation analysis between depression-related monoaminergic metabolites and chemical components profiling.

Traditional Chinese Medicines (TCMs) have been widely used in orient countries for thousands of years, while their inconsistent quality and therapy issues have become increasingly serious as a result of the absence of effective methods for quality control. Therefore, it is necessary to develop a novel and specific evaluation system for TCMs' quality involved with not only composition but also bioactivity. In this study, we used Schisandra chinensis (Turcz.) Baill as an example and developed a novel integrated approach involved with various chemical analysis and data processing methods to explore its quality marker (Q-marker) underlying its anti-depressive effects. First, six bioactive lignans were identified and semi-quantified in rat brain samples via high resolution mass spectrometry. Then, the bioinformation analysis showed that all the six bioactive components could modulate various diseases relative to noradrenergic, dopaminergic and serotonergic pathways. Thus, the monoaminergic metabolites contained in these three pathways were selected to screen potential biomarkers of depression treated by S. chinensis based on target metabolomics using a rapid HPLC-MS/MS method. Finally, the correlation analysis between the six components and potential biomarkers was employed to uncover the Q-markers of S. chinensis. It is suggested that schisandrol A, schisandrin A, schisandrin C and gomisin N could be determined as Q-markers for S. chinensis. Thus, the integrated approach describing here for discovering Q-markers was expected to offer an alternative quality assessment strategy of herbal medicines for the first time.

[Cloning and expression analysis of 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase gene in Cinnamomum camphora].

The 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase was the fourth key enzymes in plant terpenoid biosynthesis pathway of methyl erythritol phosphate pathway(MEP). According to the study of Cinnamomum camphora transcriptome data,we abtained the 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase gene using RT-PCR,and named CcCMK1,then deposited it in GeneBank(Accession number： Ku376098).Bioinformatics analysis showed the open reading frame (ORF) of the CcCMK1 was 1 212 bp.The putative protein encoded 403 amino acids,and its molecular weight was 44.46 kDa and theoretically isoelectric point was 4.99.Transmembrane structure analysis showed that there was no transmembrane structure. Signal peptide analysis showed that it was a non secretory protein, and there was no signal peptide. The subcellular localization showed that the chloroplast was located in the chloroplast.Analysis of the expression of CcCMK1 gene in five chemotypes of C. camphora using Real-time PCR showed its expression level was highest in C. longepaniculatum, and the lowest in Borneol camphor.This research provided a basis for characterizing the key enzyme genes of terpenoid biosynthetic pathway in C. camphora.

Cloning and expression analysis of 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase gene in Cinnamomum camphora / 中国中药杂志

The 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase was the fourth key enzymes in plant terpenoid biosynthesis pathway of methyl erythritol phosphate pathway(MEP). According to the study of Cinnamomum camphora transcriptome data,we abtained the 4-diphosphocytidyl-2-C-methyl-D-erythritol kinase gene using RT-PCR,and named CcCMK1,then deposited it in GeneBank(Accession number： Ku376098).Bioinformatics analysis showed the open reading frame (ORF) of the CcCMK1 was 1 212 bp.The putative protein encoded 403 amino acids,and its molecular weight was 44.46 kDa and theoretically isoelectric point was 4.99.Transmembrane structure analysis showed that there was no transmembrane structure. Signal peptide analysis showed that it was a non secretory protein, and there was no signal peptide. The subcellular localization showed that the chloroplast was located in the chloroplast.Analysis of the expression of CcCMK1 gene in five chemotypes of C. camphora using Real-time PCR showed its expression level was highest in C. longepaniculatum, and the lowest in Borneol camphor.This research provided a basis for characterizing the key enzyme genes of terpenoid biosynthetic pathway in C. camphora.

Cloning, bioinformatic analysis, and expression of chalcone synthase gene in Carthamus tinctorius / 中草药

Objective: To clone the chalcone synthase (CHS) gene in Carthamus tinctorius, to analyze the bioinformation of CHS, to compare the expression of CHS during the florescence, and to provide the foundation for composition and regulation mechanism of the active ingredients in C. tinctorius. Methods: RNA was obtained from fresh safflower corolla, cDNA was reversely transcriped, specific primers were designed, and then CHS was cloned. The protein characteristics was analyzed using bioinformatics, the phylogenetic tree of CHS was constructed using MEGA5.1, the expression of CHS during the florescence was analyzed using real time-PCR. Results: The 1 149 bp CHS sequence in C. tinctorius was obtained, which has a 1 041 bp ORF, encoding 346 amino acids. This protein belongs to the CHS family according to Blastp in NCBI. The CHS in safflower was similar to that in above 100 plants, and the similarities to Silybum marianum, Callistephus chinensis, Chrysanthemum x morifolium, and Gynura bicolor were respectively reaching 95%, 95%, 94%, and 94%. It has the closest relationship to S. marianum according to the phylogenetic tree using MEGA5.1. The CHS formula was C1678H2693N451O493S20 and the molecular weight was 37 700, with the isoelectric point of 6.10. The number of negatively charged amino acid residues (Asp + Glu) was 42, and the number of positively charged amino acid residues (Arg + Lys) was 38. The gene expression analysis showed that the highest expression of CHS in safflower was on day 3 of florescence, much higher than that on the other days. Conclusion: The CHS in safflower is successfully cloned, analyzed, and expressed, which provides the foundation for composite and regulation mechanism of the active ingredients in C. tinctorius.

Cloning and bioinformation analysis of chalcone synthase gene from Lycium barbarum in Ningxia / 中草药

Objective: To obtain cDNA of chalcone synthase (CHS, EC 2.3.1.74) involved in the flavonoid/isoflavonoid biosynthesis pathway. Methods: The partial sequence of CHS in Lycium barbarum (LyCHS) was successfully cloned by RT-PCR and using a sequence homology strategy, and the bioinformation analysis was carried out. Results: The cDNA fragment of CHS gene was 1148 bp in length, which encoded a protein of 382 amino acids with the predicted relative molecular weight of 4.168 × 104. The estimated isoelectric point (pI) of the putative protein is 6.22. According to the amino acid sequence and structural analysis, it showed that this protein contained one conserved active site, namely chalcone and stilbene synthases active site. Subcellular localizations of LyCHS proteins were likely in the cytoplasm. The secondary and tertiary structures of LyCHS were abundant in α-helixs (166) and random coils (126), while were less in β-turns (25) and extended strains (65). Phylogenetic analysis showed that the genes of LyCHS were closely related to CHS in Solanum pinnatisectum, S. tuberosum, and Lycopersicon esculentum. The sequences had been registered in GenBank with the accession numbers JQ964237. Conclusion: The present results provide the foundation for the next study of CHS gene about its expression and function in L. barbarum.