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Notes on the Scaling Function 被引量:2
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作者 WUHua-an zhanggui-zhen 《Chinese Quarterly Journal of Mathematics》 CSCD 2004年第2期188-191,共4页
Two properties are given in this paper about the scaling function: suppose Vj; j ∈ Z is a multiresolution analysis with a continuous scaling function φ which have compact support set and that φ the Fourier transfor... Two properties are given in this paper about the scaling function: suppose Vj; j ∈ Z is a multiresolution analysis with a continuous scaling function φ which have compact support set and that φ the Fourier transform of φ is a continuous real function, compactly supported, then φ(0) ≠ 0 and when supp φ = [a1,b1]∪[a2,b2](b1 < a2,0 < a2), then we havea1 ≤ 0, 0 < b1, a1 < b2/2 ≤ b1, 2π < b2 - a1 ≤ 8π. 展开更多
关键词 multiresolution analysis scaling function Fourier transform
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Evaluation of proliferative activities in Wilms′ tumor
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作者 WANGLin ZHOUXiao-Yan +2 位作者 CIUYa-Nan zhanggui-zhen CHENYuan-Yao 《吉林大学学报(医学版)》 CAS CSCD 北大核心 2003年第4期381-384,共4页
目的 :评价 PCNA标记指数及 Ag NORs计数在肾母细胞瘤增殖活性判定中的意义。方法 :对 34例肾母细胞瘤标本进行 PCNA免疫组织化学染色及核仁组织区嗜银蛋白组织化学染色。结果 :PCNA- LI与病理学分型及临床分期无关 ,但 PCNA- LI≥ 2 5 ... 目的 :评价 PCNA标记指数及 Ag NORs计数在肾母细胞瘤增殖活性判定中的意义。方法 :对 34例肾母细胞瘤标本进行 PCNA免疫组织化学染色及核仁组织区嗜银蛋白组织化学染色。结果 :PCNA- LI与病理学分型及临床分期无关 ,但 PCNA- LI≥ 2 5 %组的 S期细胞数、PI值及Ag NORs数量均显著高于 PCNA- LI<2 5 %组 ;Ag NORs计数与病理学分型及临床分期关系密切 ;PCNA- LI与 Ag NORs计数结合可准确反映肾母细胞瘤的增殖活性。结论 :目前肾母细胞瘤的病理学分型和临床分期可以反映其侵袭性 ,但并不充分 ;在准确评价肾母细胞瘤生物学特性方面 ,PCNA- LI与 Ag 展开更多
关键词 肾母细胞瘤 增殖细胞核抗原 AGNORS计数 流式细胞术 免疫组织化学染色
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Reversal of MDR1 gene-dependent multidrug resistance using short hairpin RNA expression vectors 被引量:12
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作者 GANHui-zhu zhanggui-zhen +7 位作者 ZHAOJi-sheng ZHANGFeng-chun BULi-sha YANGShao-juan PIAOSong-lan DUZhen-wu GAOShen ZHENGDe-ming 《Chinese Medical Journal》 SCIE CAS CSCD 2005年第11期893-902,共10页
Background RNA interference using short hairpin RNA (shRNA) can mediate sequence-specific inhibition of gene expression in mammalian cells. A vector-based approach for synthesizing shRNA has been developed recently. O... Background RNA interference using short hairpin RNA (shRNA) can mediate sequence-specific inhibition of gene expression in mammalian cells. A vector-based approach for synthesizing shRNA has been developed recently. Overexpression of P-glycoprotein (P-gp), the MDR1 gene product, confers multidrug resistance (MDR) to cancer cells. In this study, we reversed MDR using shRNA expression vectors in a multidrug-resistant human breast cancer cell line (MCF-7/AdrR). Methods The two shRNA expression vectors were constructed and introduced into MCF-7/AdrR cells. Expression of MDR1 mRNA was assessed by RT-PCR, and P-gp expression was determined by Western Blot and immunocytochemistry. Apoptosis and sensitization of the breast cancer cells to doxorubicin were quantified by flow cytometry and methyl thiazolyl tetrazolium (MTT) assays, respectively. Cellular daunorubicin accumulation was assayed by laser confocal scanning microscopy (LCSM). Statistical significance of differences in mean values was evaluated by Student’s t tests. P<0.05 was considered statistically significant.Results In MCF-7/AdrA cells transfected with MDR1-A and MDR1-B shRNA expression vectors, RT-PCR showed that MDR1 mRNA expression was reduced by 40.9% (P<0.05), 30.1% (P<0.01) (transient transfection) and 37.6 % (P<0.05), 28.0% (P<0.01) (stable transfection), respectively. Western Blot and immunocytochemistry showed that P-gp expression was significantly and specifically inhibited. Resistance against doxorubicin was decreased from 162-fold to 109-fold (P<0.05), 54-fold (P<0.01) (transient transfection) and to 108-fold (P<0.05), 50-fold (P<0.01) (stable transfection). Furthermore, shRNA vectors significantly enhanced the cellular daunorubicin accumulation. The combination of shRNA vectors and doxorubicin significantly induced apoptosis in MCF-7/AdrR cells. Conclusions shRNA expression vectors effectively reduce MDR expression in a sustained fashion and can restore the sensitivity of drug-resistant cancer cells to conventional chemotherapeutic agents. 展开更多
关键词 multi-drug resistance · MDR · gene therapy · breast neoplasm · shRNA
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