[ Objective] The genetic diversity of the local cultivated aromatic rice and non-aromatic rice in Yunnan Province were compared to provide further genetic resources for breeding practice. [Method] Genetic diversity of...[ Objective] The genetic diversity of the local cultivated aromatic rice and non-aromatic rice in Yunnan Province were compared to provide further genetic resources for breeding practice. [Method] Genetic diversity of 10 aromatic rice and 45 non-aromatic rice were analyzed by 64 SSR primers covered on 12 rice chromosomes. [ Result] Per locus 5.44 and 7.98 alleles in average were detected, ranging from 2 to 12 and from 2 to 17 in aromatic and non-aromatic rice, respectively. Average genetic multiplicity index（Hs） was 0.46 and 0.67 respectively. The average polymorphism information content （PIC） was 0.43 and 0.58 in aromatic and non-aromatic rice respectively. [ Conclusion] The results indicated that genetic diversity was higher in non-aromatic rice than in aromatic rice.展开更多
Tumor necrosis factor-α(TNF-α), a proinflammatory cytokine, plays an important role in the process of autoimmune diseases. p53 is related to the regulation of cell growth and prevention of carcinogenesis. We propose...Tumor necrosis factor-α(TNF-α), a proinflammatory cytokine, plays an important role in the process of autoimmune diseases. p53 is related to the regulation of cell growth and prevention of carcinogenesis. We propose to investigate whether gene polymorphisms for TNF-α-308 promoter and p53 could be used as markers of susceptibility in leiomyomas. Prospective basic study. Departments of gynecology and genetics in a medical center. Group 1: leiomyoma (n = 159); group 2: nonleiomyoma (n = 131). Genomic DNA was obtained from peripheral leukocyte. The TNF-αand p53 gene polymorphisms were amplified by polymerase chain reaction (PCR), enzyme restriction, and electrophoresis. Two gene polymorphisms were identified: [1] the A (cuttable)/G (uncuttable) polymorphisms of the TNF-αgene on chromosome 6p21.3; [2] A (cuttable)/P (uncuttable) polymorphisms of the p53 gene on chromosome 17p. Genotype and allelic frequencies in both groups were compared. Genotype distribution and allele frequency of TNF-α.gene polymorphism in both groups were significantly different. Proportions of A homozygote/heterozygote/G homozygote for TNF-α.in both groups were: (group 1) 61%/34.6%/4.4%and (group 2) 81.7%/14.5%/3.8%. Proportions of allele A/G for TNF-αin both groups were: (group 1) 78.3%/21.7%and (group 2) 88.9%/11.1%. Distributions of p53 polymorphisms in both groups were not different. The proportions of A homozygotes/heterozygotes/P homozygotes for p53 were (group 1) 32.7%/42.1%/25.2%and (group 2) 28.2%/48.9%/22.9%. G homozygote and G allele for TNF-αpromoter are related to a higher risk of leiomyomas. The p53 codon 72 gene polymorphism is not associated with the susceptibility of leiomyomas.展开更多
Ovarian cancer is a major health problem for women in the United States. Despite evidence of considerable heterogeneity, most cases of ovarian cancer are treated in a similar fashion. The molecular basis for the clini...Ovarian cancer is a major health problem for women in the United States. Despite evidence of considerable heterogeneity, most cases of ovarian cancer are treated in a similar fashion. The molecular basis for the clinicopathologic characteristics of these tumors remains poorly defined. Whole genome expression profiling is a genomic tool, which can identify dysregulated genes and uncover unique sub-classes of tumors. The application of this technology to ovarian cancer has provided a solid molecular basis for differences in histology and grade of ovarian tumors. Differentially expressed genes identified pathways implicated in cell proliferation, invasion, motility, chromosomal instability, and gene silencing and provided new insights into the origin and potential treatment of these cancers. The added knowledge provided by global gene expression profiling should allow for a more rational treatment of ovarian cancers. These techniques are leading to a paradigm shift from empirical treatment to an individually tailored approach. This review summarizes the new genomic data on epithelial ovarian cancers of different histology and grade and the impact it will have on our understanding and treatment of this disease.展开更多
Erratum to:SCIENCE CHINA Life Sciences,November 2015 Vol.58 No.11:1084–1088doi:10.1007/s11427-015-4962-9In the first paragraph of the manuscript,the name of Charles Harrington was printed in error,should be Charles S...Erratum to:SCIENCE CHINA Life Sciences,November 2015 Vol.58 No.11:1084–1088doi:10.1007/s11427-015-4962-9In the first paragraph of the manuscript,the name of Charles Harrington was printed in error,should be Charles Sherrington.展开更多
基金Supported by the General Programs of the National Natural ScienceFoundation of China(30460019)Key Technologies R&D Program ofYunnan Province(2006NG34,2008C004Z)Cooperative Program Between Yunnan Academy of Agricultural Sciences (YAAS) and RDA of Korea~~
文摘[ Objective] The genetic diversity of the local cultivated aromatic rice and non-aromatic rice in Yunnan Province were compared to provide further genetic resources for breeding practice. [Method] Genetic diversity of 10 aromatic rice and 45 non-aromatic rice were analyzed by 64 SSR primers covered on 12 rice chromosomes. [ Result] Per locus 5.44 and 7.98 alleles in average were detected, ranging from 2 to 12 and from 2 to 17 in aromatic and non-aromatic rice, respectively. Average genetic multiplicity index（Hs） was 0.46 and 0.67 respectively. The average polymorphism information content （PIC） was 0.43 and 0.58 in aromatic and non-aromatic rice respectively. [ Conclusion] The results indicated that genetic diversity was higher in non-aromatic rice than in aromatic rice.
文摘Tumor necrosis factor-α(TNF-α), a proinflammatory cytokine, plays an important role in the process of autoimmune diseases. p53 is related to the regulation of cell growth and prevention of carcinogenesis. We propose to investigate whether gene polymorphisms for TNF-α-308 promoter and p53 could be used as markers of susceptibility in leiomyomas. Prospective basic study. Departments of gynecology and genetics in a medical center. Group 1: leiomyoma (n = 159); group 2: nonleiomyoma (n = 131). Genomic DNA was obtained from peripheral leukocyte. The TNF-αand p53 gene polymorphisms were amplified by polymerase chain reaction (PCR), enzyme restriction, and electrophoresis. Two gene polymorphisms were identified: [1] the A (cuttable)/G (uncuttable) polymorphisms of the TNF-αgene on chromosome 6p21.3; [2] A (cuttable)/P (uncuttable) polymorphisms of the p53 gene on chromosome 17p. Genotype and allelic frequencies in both groups were compared. Genotype distribution and allele frequency of TNF-α.gene polymorphism in both groups were significantly different. Proportions of A homozygote/heterozygote/G homozygote for TNF-α.in both groups were: (group 1) 61%/34.6%/4.4%and (group 2) 81.7%/14.5%/3.8%. Proportions of allele A/G for TNF-αin both groups were: (group 1) 78.3%/21.7%and (group 2) 88.9%/11.1%. Distributions of p53 polymorphisms in both groups were not different. The proportions of A homozygotes/heterozygotes/P homozygotes for p53 were (group 1) 32.7%/42.1%/25.2%and (group 2) 28.2%/48.9%/22.9%. G homozygote and G allele for TNF-αpromoter are related to a higher risk of leiomyomas. The p53 codon 72 gene polymorphism is not associated with the susceptibility of leiomyomas.
文摘Ovarian cancer is a major health problem for women in the United States. Despite evidence of considerable heterogeneity, most cases of ovarian cancer are treated in a similar fashion. The molecular basis for the clinicopathologic characteristics of these tumors remains poorly defined. Whole genome expression profiling is a genomic tool, which can identify dysregulated genes and uncover unique sub-classes of tumors. The application of this technology to ovarian cancer has provided a solid molecular basis for differences in histology and grade of ovarian tumors. Differentially expressed genes identified pathways implicated in cell proliferation, invasion, motility, chromosomal instability, and gene silencing and provided new insights into the origin and potential treatment of these cancers. The added knowledge provided by global gene expression profiling should allow for a more rational treatment of ovarian cancers. These techniques are leading to a paradigm shift from empirical treatment to an individually tailored approach. This review summarizes the new genomic data on epithelial ovarian cancers of different histology and grade and the impact it will have on our understanding and treatment of this disease.
文摘Erratum to:SCIENCE CHINA Life Sciences,November 2015 Vol.58 No.11:1084–1088doi:10.1007/s11427-015-4962-9In the first paragraph of the manuscript,the name of Charles Harrington was printed in error,should be Charles Sherrington.
