Researchers studying gene expression have access to vast amounts of data from cells or tissues. This is thanks to advances in ...

We performed differential gene expression analysis, GO/KEGG enrichment analysis, protein-protein interaction (PPI) network analysis, weighted gene co-expression network analysis (WGCNA), gene set ...

Metabolomics is a non-targeted strategy to monitor the multiple changes among different samples. Figure 1B provides an overview of the metadata analysis strategies used in this study. After conducting ...

01–07 and genes with a q-value below 0.05 and an expression ratio greater than 2 in each group compared with the rest of the biopsies were included in the analysis. Immunologic pathways with a z-score ...

in breast adenocarcinoma through bioinformatic analysis of public datasets. Methods: Four datasets (GSE21422, GSE29431, GSE42568, and GSE61304) from Gene Expression Omnibus (GEO) and the Cancer Genome ...

The team also got insights into how bacteria organize their RNAs within their cells, which may be important in how different aspects of gene expression are regulated. Finally, they showed that ...

This important study demonstrates the potential of synthetic gene circuits to detect and target aberrant RAS activity in cancer cell lines. The circuit design is novel and the evidence supporting the ...

The epigenetic state of chromatin, gene activity, and chromosomal positions are interrelated. A research team from the IPK Leibniz Institute (IPK) and the Karlsruhe Institute of Technology (KIT) has ...

Methods Whole genome mRNA profiling was performed on lung tissue samples (n=1197) and differential gene expression with increasing age was analysed using an adjusted linear regression model.

Beans are a key food at the dietary level, boasting high nutritional value and constituting the most directly consumed legume ...