Mass Spectrometry-Based Proteomics: Analyses Related to Drug-Resistance and Disease Biomarkers.
Marco AgostiniPietro TraldiMahmoud HamdanPublished in: Medicina (Kaunas, Lithuania) (2023)
Mass spectrometry-based proteomics is a key player in research efforts to characterize aberrant epigenetic alterations, including histone post-translational modifications and DNA methylation. Data generated by this approach complements and enrich datasets generated by genomic, epigenetic and transcriptomics approaches. These combined datasets can provide much-needed information on various mechanisms responsible for drug resistance, the discovery and validation of potential biomarkers for different diseases, the identification of signaling pathways, and genes and enzymes to be targeted by future therapies. The increasing use of high-resolution, high-accuracy mass spectrometers combined with more refined protein labeling and enrichment procedures enhanced the role of this approach in the investigation of these epigenetic modifications. In this review, we discuss recent MS-based studies, which are contributing to current research efforts to understand certain mechanisms behind drug resistance to therapy. We also discuss how these MS-based analyses are contributing to biomarkers discovery and validation.
Keyphrases
- mass spectrometry
- dna methylation
- genome wide
- high resolution
- liquid chromatography
- gene expression
- small molecule
- gas chromatography
- high performance liquid chromatography
- capillary electrophoresis
- copy number
- signaling pathway
- high throughput
- rna seq
- single cell
- bioinformatics analysis
- quality improvement
- protein protein
- tandem mass spectrometry
- electronic health record
- big data
- machine learning
- health information
- multiple sclerosis
- healthcare
- epithelial mesenchymal transition
- binding protein
- bone marrow
- data analysis
- transcription factor
- deep learning