维普中文期刊产品整合服务
11篇 您的检索式:作者名="Siegismund"
    题名 作者 年代 出处 被引量
1Population structure of African buffalo inferred from mtDNA sequences and microsatellite loci: high variation but low differentiation显示文摘Simonsen B T Siegismund H R Arctander P 1998Mol Ecol1998,7,2:1
2Low diversity of foot - and - mouth disease serotype C virus in Kenya:evidence for probable -:accine strain re -introductions in the field显示文摘Sangula A K Siegismund H R Belsham G J 2006Epidemiol Infect2006,134,:1
3Introgression between oilseed rape (Brassica napus L.) and its weedy relative B. rapa L. in a natural population显示文摘Lise Bach Hansen Hans Redlef Siegismund Rikke Bagger J?rgensen 2001Genetic Resources and Crop Evolution2001,,6:1
4Discrimination between random and non-random processes in early bacterial colonization on biomaterial surfaces: application of point pattern analysis显示文摘Daniel Siegismund Anja Schroeter Claudia Lüdecke Andreas Undisz Klaus D. Jandt Martin Roth Markus Rettenmayr Stefan Schuster Sebastian Germerodt 2014Biofouling2014,,9:1
5Introgression between oilseed rape (Brassica napus L.) and its weedy relative B. rapa L. in a natural population显示文摘Lise Bach Hansen Hans Redlef Siegismund Rikke Bagger J?rgensen 2001Genetic Resources and Crop Evolution2001,,6:1
6Assessment of optimally filtered recent geodetic mean dynamic topographies显示文摘SIEGISMUND F 2013Journal of Geophysical Research : Oceans2013,118,:1
7Micro RNA profiling of CSF reveals potential biomarkers to detect Alzheimer's Disease 显示文摘Denk J Boelmans K Siegismund C 2015PLoS One2015,10,01:1
8Inbreeding depression in the partially self-incompatible endemic plant species Scalesia affinis ( Asteraceae ) from Galopagos Islands 显示文摘Nielsen L R Siegismund H R Hansen T 2007Evolutionary Ecology2007,21,:1
9Extreme genetic differences among populations of Gazella granti,Grant's gazelle,in Kenya显示文摘Arctander P Kat P W Aman R A Siegismund H R 1996Heredity1996,76,:1
10MicroRNA profiling of CSF reveals potential biomarkers to detect alzheimer's disease 显示文摘Denk J Boelmans K Siegismund C 2015PLoS One2015,10,01:1
11Absent MicroRNAs in Different Tissues of Patients with Acquired Cardiomyopathy显示文摘Micro RNAs(mi RNAs) can be found in a wide range of tissues and body ?uids, and their speci?c signatures can be used to determine diseases or predict clinical courses. The mi RNA pro?les in biological samples(tissue, serum, peripheral blood mononuclear cells or other body ?uids) differ signi?cantly even in the same patient and therefore have their own speci?city for the presented condition. Complex pro?les of deregulated mi RNAs are of high interest, whereas the importance of non-expressed mi RNAs was ignored. Since mi RNAs regulate gene expression rather negatively,absent mi RNAs could indicate genes with unaltered expression that therefore are normally expressed in speci?c compartments or under speci?c disease situations. For the ?rst time,non-detectable mi RNAs in different tissues and body ?uids from patients with different diseases(cardiomyopathies, Alzheimer's disease, bladder cancer, and ocular cancer) were analyzed and compared in this study. mi RNA expression data were generated by microarray or Taq Man PCR-based platforms. Lists of absent mi RNAs of primarily cardiac patients(myocardium, blood cells, and serum) were clustered and analyzed for potentially involved pathways using two prediction platforms, i.e., mi RNA enrichment analysis and annotation tool(mi EAA) and DIANA mi RPath.Extensive search in biomedical publication databases for the relevance of non-expressed mi RNAs in predicted pathways revealed no evidence for their involvement in heart-related pathways as indicated by software tools, con?rming proposed approach.Christine S. Siegismund Maria Rohde Uwe Kiihl Felicitas Escher Heinz Peter Schultheiss Dirk Lassner 2016Genomics, Proteomics & Bioinformatics2016,14,4:0
返回顶部 每页显示:
共1页 首页 上一页 第1页 下一页 末页 /1 跳转

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1 渝公网安备 50019002500403号 违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费