1.The effect of co-transfection of p53 and angiostatin gene in SG7901
Xiangjin CHEN ; Yueyong ZHU ; Zhenting HU ; Huihao ZHANG ; Dongpo XU ; Mingren LI
Chinese Journal of Postgraduates of Medicine 2006;0(36):-
Objective To investigate the co-transfection of p53 and angiostatin gene in the inhibition of SG7901. Methods Transfected the pVITRO2-hp53-hAS into SG7901 with lipofectamine.After transfection, RT-PCR were used to know whether the aimed gene had been transfected and expressed or not. Cell clones trial, MTT growth curve, cell cycle measuring were used to analyze the differences. Results The cells were suppressed by the two genes and inhibition of the combined genes is more powerful than single one. Conclusion The effection of combined genes pVITRO2-hp53-hAS on SG7901 is stronger than either single one. Combined-gene-therapy is a useful anti-carcinoma method.
2.Analysis of deafness gene variant screening of 7875 neonatal cases in Dongying area of Shandong.
Mingzhong TIAN ; Yanhua CAO ; Zhenting CHEN ; Lixia QI ; Aihua LIU ; Hongmei LI ; Qifang BO ; Qiji LIU
Chinese Journal of Medical Genetics 2020;37(9):962-967
OBJECTIVE:
To determine the types and frequency of deafness-related variants among 7875 newborns from Dongying area of Shandong Province.
METHODS:
One hundred loci of 18 common deafness genes were subjected to semiconductor sequencing. Variant site, frequency and distribution of the variants were analyzed.
RESULTS:
In total 552 deafness gene variants were detected among the 7875 newborns, which yielded a detection rate of 7.01%. Among these, common variant sites for GJB2, SLC26A4 and GJB3 genes were c.235delC, IVS7-2A>G and c.538C>T, respectively. The variant frequencies of matrilinear inheritance deafness genes MT-CO1, MT-RNR1, MT-TL1 and MT-TS1 were 0.38%, 0.25%, 0.1% and 0.01%, respectively. Four newborns were diagnosed with deafness, among which one had unilateral hearing loss. Analysis of the proportions of neonatal deafness-related variants in five counties of Dongying showed that the highest variant rate for the SLC26A4 gene compared with GJB2 was in Lijin county (51.76% vs. 40%), while the lowest was in Hekou county (30.77% vs. 56.41%).
CONCLUSION
The carrier rate of deafness-related variants in Dongying area is higher than other regions of China, which may be attributed to the increased types and variant sites covered by the semiconductor sequencing method compared with the chip method and time-of-flight mass spectrometry. Due to geographical and population aggregation factors, the proportion of deafness variants in the five counties of Dongying differed significantly. Above results may provide a guide for the prevention of congenital deafness in Dongying area.
3.An atlas of immune cell transcriptomes in human immunodeficiency virus-infected immunological non-responders identified marker genes that control viral replication.
Yahong CHEN ; Xin LI ; Shuran LIU ; Wen AO ; Jing LIN ; Zhenting LI ; Shouli WU ; Hanhui YE ; Xiao HAN ; Dongliang LI
Chinese Medical Journal 2023;136(22):2694-2705
BACKGROUND:
Previous studies have examined the bulk transcriptome of peripheral blood immune cells in acquired immunodeficiency syndrome patients experiencing immunological non-responsiveness. This study aimed to investigate the characteristics of specific immune cell subtypes in acquired immunodeficiency syndrome patients who exhibit immunological non-responsiveness.
METHODS:
A single-cell transcriptome sequencing of peripheral blood mononuclear cells obtained from both immunological responders (IRs) (CD4 + T-cell count >500) and immunological non-responders (INRs) (CD4 + T-cell count <300) was conducted. The transcriptomic profiles were used to identify distinct cell subpopulations, marker genes, and differentially expressed genes aiming to uncover potential genetic factors associated with immunological non-responsiveness.
RESULTS:
Among the cellular subpopulations analyzed, the ratios of monocytes, CD16 + monocytes, and exhausted B cells demonstrated the most substantial differences between INRs and IRs, with fold changes of 39.79, 11.08, and 2.71, respectively. In contrast, the CD4 + T cell ratio was significantly decreased (0.39-fold change) in INRs compared with that in IRs. Similarly, the ratios of natural killer cells and terminal effector CD8 + T cells were also lower (0.37-fold and 0.27-fold, respectively) in the INRs group. In addition to several well-characterized immune cell-specific markers, we identified a set of 181 marker genes that were enriched in biological pathways associated with human immunodeficiency virus (HIV) replication. Notably, ISG15 , IFITM3 , PLSCR1 , HLA-DQB1 , CCL3L1 , and DDX5 , which have been demonstrated to influence HIV replication through their interaction with viral proteins, emerged as significant monocyte marker genes. Furthermore, the differentially expressed genes in natural killer cells were also enriched in biological pathways associated with HIV replication.
CONCLUSIONS
We generated an atlas of immune cell transcriptomes in HIV-infected IRs and INRs. Host genes associated with HIV replication were identified as markers of, and were found to be differentially expressed in, different types of immune cells.
Humans
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Acquired Immunodeficiency Syndrome
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Transcriptome/genetics*
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HIV
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HIV Infections/genetics*
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Leukocytes, Mononuclear/metabolism*
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CD4-Positive T-Lymphocytes/metabolism*
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Virus Replication
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Membrane Proteins/metabolism*
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RNA-Binding Proteins/metabolism*