Protein expression profiling is the systematic measurement and analysis of the complete set of proteins produced by cells, tissues, or organisms under specific conditions, revealing which proteins are present and in what quantities. Research published in this journal addresses protein expression profiling in two dis…
Protein expression profiling is the systematic measurement and analysis of the complete set of proteins produced by cells, tissues, or organisms under specific conditions, revealing which proteins are present and in what quantities. Research published in this journal addresses protein expression profiling in two distinct contexts: the physiological and molecular responses of cereal crop plants to environmental stressors, and the identification of biomarkers and therapeutic targets in diabetic nephropathy. The 2020 study on cereal crops examined proteomic changes alongside physiological adaptations when plants experience drought and salt stress, contributing to understanding of stress tolerance mechanisms. The 2013 work focused on bioinformatic resources that enable researchers to analyze protein expression patterns associated with diabetic kidney disease, a major complication of diabetes affecting millions worldwide. This topic matters because protein expression profiles serve as molecular signatures that distinguish healthy from diseased states, identify cellular responses to environmental challenges, and reveal potential intervention points for therapeutic development. By integrating proteomic data with bioinformatic analysis tools, researchers can move beyond studying individual proteins to understanding complex biological systems, whether in agricultural stress responses or human metabolic disease.
2 peer-reviewed articles, ranked by relevance. Each links to its DOI.
The 2 articles above have been cited 11 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
A sample of recent works citing this journal's research on Protein Expression Profiling, linking to each citing work.