RNA interference technology, which is used in cell biology, has revolutionized functional research of the gene products in the last ten years. Now researchers have developed a method which allows a ...
Gaëtan Gruel, Carlo Lucchesi, Alexandre Pawlik, Vincent Frouin, Olivier Alibert, Thierry Kortulewski, Anissa Zarour, Béatrice Jacquelin, Xavier Gidrol, Diana Tronik-Le Roux, Novel Microarray-Based ...
CpG island DNA methylation plays an important role in regulating gene expression in development and carcinogenesis. We developed a new microarray-based method called methylation amplification DNA chip ...
Jonathan Weissman at the University of California, San Francisco wants to know how cells fold proteins into the right shapes, and he knocks down genes to find out. For that he uses massive RNA ...
Advancements in technologies have revolutionized the genetic landscape. Chromosomal microarray analysis (CMA) becomes a proven method and is implemented to detect gains and losses of DNA and absence ...
Microarrays provide a method of quantifying the expression and order of genes in a particular genome -- acting as a surrogate measure of cell physiology, said researchers at Baylor College of Medicine ...
Processing cDNA microarray images is a crucial step in gene expression analysis, since any errors in early stages affect subsequent steps, leading to possibly erroneous biological conclusions. When ...
Interim Executive Director, Biodesign Institute Director, Biodesign Institute's Virginia G. Piper Center for Personalized Diagnostics; Virginia G. Piper Chair of Personalized Medicine; Pr ...
At CombiMatrix Corp., a diagnostic laboratory in Irvine, white-cloaked techs sit hunched over microscopes while their gloved hands deftly pick through the remains of lost pregnancies, pulling the ...
A new palm-sized microarray that holds 1,200 individual cultures of fungi or bacteria could enable faster, more efficient drug discovery, according to a study published in mBio®, the online ...
This is a preview. Log in through your library . Abstract Selection of significant genes via expression patterns is important in a microarray problem. Owing to small sample size and large number of ...
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