The tissue proteome in the multi-omic landscape of kidney disease.
Markus M RinschenJulio Saez-RodriguezPublished in: Nature reviews. Nephrology (2020)
Kidney research is entering an era of 'big data' and molecular omics data can provide comprehensive insights into the molecular footprints of cells. In contrast to transcriptomics, proteomics and metabolomics generate data that relate more directly to the pathological symptoms and clinical parameters observed in patients. Owing to its complexity, the proteome still holds many secrets, but has great potential for the identification of drug targets. Proteomics can provide information about protein synthesis, modification and degradation, as well as insight into the physical interactions between proteins, and between proteins and other biomolecules. Thus far, proteomics in nephrology has largely focused on the discovery and validation of biomarkers, but the systematic analysis of the nephroproteome can offer substantial additional insights, including the discovery of mechanisms that trigger and propagate kidney disease. Moreover, proteome acquisition might provide a diagnostic tool that complements the assessment of a kidney biopsy sample by a pathologist. Such applications are becoming increasingly feasible with the development of high-throughput and high-coverage technologies, such as versatile mass spectrometry-based techniques and protein arrays, and encourage further proteomics research in nephrology.
Keyphrases
- mass spectrometry
- big data
- high throughput
- single cell
- liquid chromatography
- artificial intelligence
- machine learning
- gas chromatography
- capillary electrophoresis
- end stage renal disease
- label free
- high performance liquid chromatography
- high resolution
- small molecule
- induced apoptosis
- electronic health record
- ejection fraction
- newly diagnosed
- chronic kidney disease
- peritoneal dialysis
- magnetic resonance
- physical activity
- single molecule
- cell death
- computed tomography
- magnetic resonance imaging
- signaling pathway
- healthcare
- cell cycle arrest
- emergency department
- tandem mass spectrometry
- data analysis
- simultaneous determination
- oxidative stress
- depressive symptoms
- human health
- endoplasmic reticulum stress
- risk assessment
- social media