1.Expression, purification and renaturation of Pol P51 antigen of HIV-1 strain CN54 and its application in antibody detection.
Jue HOU ; Jing SUN ; Zhiyong XU ; Wenling FAN ; Yixuan ZHANG ; Yong LIU ; Yanling HAO
Chinese Journal of Biotechnology 2010;26(2):201-206
To obtain the pure and soluble P51 antigen of HIV-1 strain CN54, we transformed the Escherichia. coli strain BL21 codonplus-RIL with recombinant plasmid pTHioHisA51 which carries a gene encoding the Polymerase (Pol) P51 antigen of HIV-1 CN54 formerly, and induced protein expression by IPTG. We purified the recombinant protein with Chelating Sepharose FF-Ni and DEAE-Sepharose FF column chromatography, then renatured the recombinant protein by dialyzation. Purified protein was identified by Western blotting. We labeled and coated antigen P51 in a dual-antigen sandwich system, and tested it with serum samples from HIV-infected individuals. The results showed that P51 was expressed as inclusion body, and represented about 50% of total cellular protein. After purification and renaturation, the purity of P51 was up to 95%. Western blotting and sandwich ELISA demonstrated that recombinant P51 had good anti-HIV antibody specificity and sensitivity. The results suggested that recombinant HIV-1 P51 can be prepared as diagnostic reagent, and provides valuable support for HIV-1 detection and vaccine research.
Escherichia coli
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genetics
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metabolism
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HIV Antibodies
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blood
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immunology
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HIV Infections
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immunology
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virology
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HIV Reverse Transcriptase
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biosynthesis
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genetics
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immunology
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HIV-1
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classification
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immunology
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Humans
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Protein Renaturation
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Recombinant Proteins
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biosynthesis
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genetics
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immunology
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Sensitivity and Specificity
2.Maternal iron status in the first trimester is associated with gestational diabetes mellitus and macrosomia
Feiling HUANG ; Liangkun MA ; Shuai MA ; Yixuan HOU ; Aimin YAO ; Liangyu XIA ; Songlin YU ; Shanshan LI ; Haoze LUO ; Zikun ZHOU ; Jiaxin ZHANG ; Yanping LIU
Chinese Journal of Health Management 2020;14(6):515-520
Objective:To evaluate the association of maternal nutrition status in the first trimester with gestational diabetes mellitus (GDM) and macrosomia.Methods:378 pregnant women who took prenatal care in Shunyi Women′s and Children′s Hospital of Beijing Children′s Hospital were enrolled in the study. Blood samples were collected at first prenatal visit (<12 gestation weeks) to measure the level of hemoglobin and iron status indexes including serum iron, ferritin, transferrin, total iron binding capacity, iron saturation, transferrin saturation. The incidence of GDM and macrosomia were collected and Logistic regression was used to evaluate the associations of maternal nutrients status in the first trimester with GDM and macrosomia.Results:The incidence rate of GDM was16.9%,the incidence of anemia and iron deficiency in the first trimester were2.4% and 2.5%, respectively. After adjustment for variables such as maternal age, pre-pregnancy BMI, family history of diabetes, and parity, Logistic regression showed that in the first trimester, iron saturation>50% ( OR=0.238, 95% CI 0.068-0.831), transferrin saturation>50% ( OR=0.08, 95% CI 0.010-0.677) were protective factors of GDM; iron saturation 25%-50% ( OR=0.361, 95% CI 0.143-0.908); transferrin saturation 25%-50% ( OR=0.383, 95% CI 0.165-0.891); ferritin>30 ng/ml ( OR=0.418, 95% CI0.186-0.939) were protective factors of macrosomia. Conclusion:Maternal iron status in the first trimester might be associated with GDM and macrosomia. Thus, maternal iron status assessment in the first trimester is necessary.
3.Treatment of paclitaxel and doxorubicin changes the immune microenvironment of breast cancer and inhibits the growth of tumor cells in mice.
Rui WANG ; Lei LANG ; Shanchun CHEN ; Xueying WAN ; Yixuan HOU
Chinese Journal of Cellular and Molecular Immunology 2023;39(10):891-897
Objective To investigate the effects of paclitaxel and doxorubicin on the immune microenvironment of breast cancer in mice. Methods The CTR-DB database, a database for analysis of gene expression profiles and drug resistance characteristics related to tumor drug response, was used to analyze the effect of chemotherapeutic drugs on the immune microenvironment of breast cancer. Mouse models with breast cancer were established by in situ injection with 4T1 cells, a triple-negative breast cancer (TNBC) cells. Then they were treated with doxorubicin and paclitaxel, respectively. The sizes of tumor were recorded and analyzed by growth curve. The number of different types of immune cells was analyzed using flow cytometry. The expressions of Ki67, S100 calcium binding protein A9 (S100A9) and matrix metalloproteinase 9 (MMP9) were detected by immunohistochemistry. The cell cycles of 4T1 cells in paclitaxel group and doxorubicin group were analyzed by flow cytometry. Results The results of CTR_Microarray_75 analysis showed that the immune scores, and the number of cytotoxic lymphocytes, B lineages, CD8+ T cells, dendritic cells (DCs), monocytic lineages and natural killer (NK) cells in chemotherapy-sensitive breast cancer were higher than those in chemotherapy-insensitive breast cancer. Through growth curve analysis in mice with breast cancer, we found that both paclitaxel and doxorubicin could inhibit the increase of the tumor sizes, and the paclitaxel showed a higher inhibitory effect. The results of cytometry displayed that both paclitaxel and doxorubicin could restrain the expression of Ki67 and increase the number of breast cancer cells in G2/M phase, and in the paclitaxel group, the expression of Ki67 was lower and the number of breast cancer cells in G2/M phase was larger. Paclitaxel and doxorubicin enhanced the infiltration of CD45+ immune cells but decreased the infiltration of neutrophils. Additionally, paclitaxel promoted the infiltration of CD3+CD4+ T helper cells, CD3+CD8+ cytotoxic T cells and CD45+CD19+B cells, while doxorubicin increased the infiltration of CD4+CD25+ regulatory T cells (Tregs). The results of immunohistochemistry displayed that the paclitaxel significantly inhibited the expression of S100A9, while the doxorubicin significantly restrained the expression of MMP9. Conclusion Paclitaxel and doxorubicin can effectively inhibit the growth of breast cancer cells and change immune microenvironment of TNBC by regulating the different patterns of cell infiltration and the expression of different extracellular matrix components.
Animals
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Mice
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Humans
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Paclitaxel/pharmacology*
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Matrix Metalloproteinase 9
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Triple Negative Breast Neoplasms/drug therapy*
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CD8-Positive T-Lymphocytes
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Ki-67 Antigen
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Doxorubicin/pharmacology*
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Calgranulin B
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Tumor Microenvironment