Background: A nearly complete collection of gene-deletion mutants (96% of annotated open reading frames) of the yeast Saccharomyces cerevisiae has been systematically constructed. Tag microarrays are widely used to measure the fitness of each mutant in a mutant mixture. The tag array experiments can have a complex experimental design, such as time course measurements and drug treatment with multiple dosages.
Results: TagSmart is a web application for analysis and visualization of Saccharomyces cerevisiae mutant fitness data measured by tag microarrays. It implements a robust statistical approach to assess the concentration differences among S. cerevisiae mutant strains. It also provides an interactive environment for data analysis and visualization. TagSmart has the following advantages over previously described analysis procedures: 1) it is user-friendly software rather than merely a description of analytical procedure; 2) It can handle complicated experimental designs, such as multiple time points and treatment with multiple dosages; 3) it has higher sensitivity and specificity; 4) It allows users to mask out "bad" tags in the analysis. Two biological tests were performed to illustrate the performance of TagSmart. First, we generated titration mixtures of mutant strains, in which the relative concentration of each strain was controlled. We used tag microarrays to measure the numbers of tag copies in each titration mixture. The data was analyzed with TagSmart and the result showed high precision and recall. Second, TagSmart was applied to a dataset in which heterozygous deletion strain mixture pools were treated with a new drug, Cincreasin. TagSmart identified 53 mutant strains as sensitive to Cincreasin treatment. We individually tested each identified mutant, and found 52 out of the 53 predicted mutants were indeed sensitive to Cincreasin.
Conclusion: TagSmart is provided "as is" to analyze tag array data produced by Affymetrix and Agilent arrays. TagSmart web application is assessable by Windows, Mac, and Linux users. It also has a downloadable version for execution on PCs running Windows. TagSmart is available for academic use at: http://biocomp.bioen.uiuc.edu/tagsmart.
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http://dx.doi.org/10.1186/1471-2105-8-128 | DOI Listing |
Background: Alzheimer's disease (AD) is the most common neurodegenerative disease worldwide and the leading cause of dementia in the elderly. New approaches to study AD are still needed to identify and validate blood-based diagnostic biomarkers that could be useful for its early diagnosis. Circulating autoantibodies (AAbs) and their target proteins (autoantigens) are promising candidate biomarkers to aid in AD early diagnosis.
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The First School of Clinical Medicine, Lanzhou University, Lanzhou, China.
Intrahepatic cholangiocarcinoma (ICC) is an aggressive cancer characterized by a poor prognosis. Despite Zinc finger proteins (ZNFs) importance in tumor development and progression, it is unknown how dysregulated ZNF263 contributes to intrahepatic cholangiocarcinoma. This study aimed to determine whether ZNF263 plays an oncogenic role in ICC progression.
View Article and Find Full Text PDFGenes (Basel)
September 2024
China Institute of Sport and Health Science, Beijing Sport University, Beijing 100084, China.
The aim of this study was to assess the relationship between variant loci significantly associated with sports-related traits in the GWAS Catalog database and sprint/power athlete status, as well as to explore the polygenic profile of elite athletes. Next-generation sequencing and microarray technology were used to genotype samples from 211 elite athletes who had achieved success in national or international competitions in power-based sports and from 522 non-athletes, who were healthy university students with no history of professional sports training. Variant loci collected from databases were extracted after imputation.
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October 2024
Department of Population & Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
Cell Commun Signal
September 2024
Department of Human Cell Biology and Genetics, Joint Laboratory of Guangdong-Hong Kong Universities for Vascular Homeostasis and Diseases, School of Medicine, Southern University of Science and Technology, No. 1088, Xueyuan Road, Nanshan District, Shenzhen, Guangdong Province, 518055, China.
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