We downloaded the GSE33341 dataset from the GEO database and applied the weighted gene co-expression network analysis (WGCNA), from which we obtained some critical modules. Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) were applied to illustrate the biological functions of genes in these modules. We constructed the protein-protein interaction (PPI) network by Cytoscape and selected five candidate hub genes. Five potential hub genes were validated in GSE30119 by GraphPad Prism 8.0. The diagnostic values of these genes were calculated and present in the ROC curve based on the GSE13670 dataset. Their gene functions were analyzed by Gene Set Enrichment Analysis (GSEA).
Figure 1 displayed the workflow in our study. The data processing methods applied in our study were carried out in accordance with relevant guidelines and regulations. The Gene Expression Omnibus (GEO) is a comprehensive database of gene expression, collecting microarray and high-throughput resources. ( ). In this study, we downloaded the gene expression profile of GSE33341 [13] from the GEO database. The GSE33341 dataset was based on the GPL1261 platform of Affymetrix Mouse Genome 430 2.0 Array and GPL571 platform of Affymetrix Human Genome U133A 2.0 Array. We extracted the data that included 32 human samples infected with Staphylococcus aureus and 43 healthy counterparts. Then, we converted gene probes into gene symbols based on microarray annotation information on the GPL571 platform. For probes corresponding to multiple gene symbols, we randomly selected one gene symbol for matching the probes. Probes with no corresponding gene symbols were removed. For gene symbols corresponding to multiple probes, we reserved the probe with the highest average value. Through the above steps, we ensure the one-to-one correspondence between probes and gene symbols. Furthermore, genes with negative values were deleted.
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Li, Yan-Rui, Chih-Chung Su, Wen-Jin Lin, and Shuo-Hung Chang. 2015. "Piezoelectric Sensor to Measure Soft and Hard Stiffness with High Sensitivity for Ultrasonic Transducers" Sensors 15, no. 6: 13670-13679.
How to cite this article: Balaguru, K. et al. Global warming-induced upper-ocean freshening and the intensification of super typhoons. Nat. Commun. 7, 13670 doi: 10.1038/ncomms13670 (2016).
The role of CDKG1 in plant responses to ABA and ABA-related stress was investigated using a reverse genetic approach. Transgenic Arabidopsis plants that constitutively express CDKG1 under control of the cauliflower mosaic virus (CaMV) 35S promoter were generated. In addition, two independent cdkg1 knockout mutant lines that had unique T-DNA insertion sites within the CDKG1 exon were obtained and their structures were confirmed by genomic PCR analysis (Fig. 5a). The expression of CDKG1 mRNA in transgenic 35S:CDKG1 lines and cdkg1 knockout mutants was verified by RT-qPCR analysis (Fig. 5b). Two independent 35S:CDKG1 transgenic lines showed substantially higher levels of CDKG1 transcripts than WT (between 30 and 50-fold), while neither of the cdkg1 mutant lines produced detectable signals for CDKG1 transcripts under the conditions used, indicating that they are cdkg1null alleles. 2ff7e9595c
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