Defining the Sarcomeric Proteoform Landscape in Ischemic Cardiomyopathy by Top-Down Proteomics.
Emily A ChapmanTimothy J AballoJake A MelbyTianhua ZhouScott J PriceKalina J RosslerIenglam LeiPaul C TangYing GePublished in: Journal of proteome research (2023)
Ischemic cardiomyopathy (ICM) is a prominent form of heart failure, but the molecular mechanisms underlying ICM remain relatively understudied due to marked phenotypic heterogeneity. Alterations in post-translational modifications (PTMs) and isoform switches in sarcomeric proteins play important roles in cardiac pathophysiology. Thus, it is essential to define sarcomeric proteoform landscape to better understand ICM. Herein, we have implemented a top-down liquid chromatography (LC)-mass spectrometry (MS)-based proteomics method for the identification and quantification of sarcomeric proteoforms in the myocardia of donors without heart diseases ( n = 16) compared to end-stage ICM patients ( n = 16). Importantly, quantification of post-translational modifications (PTMs) and expression reveal significant changes in various sarcomeric proteins extracted from ICM tissues. Changes include altered phosphorylation and expression of cardiac troponin I (cTnI) and enigma homologue 2 (ENH2) as well as an increase in muscle LIM protein (MLP) and calsarcin-1 (Cal-1) phosphorylation in ICM hearts. Our results imply that the contractile apparatus of the sarcomere is severely dysregulated during ICM. Thus, this is the first study to uncover significant molecular changes to multiple sarcomeric proteins in the LV myocardia of the end-stage ICM patients using liquid chromatography-mass spectrometry (LC-MS)-based top-down proteomics. Raw data are available via the PRIDE repository with identifier PXD038066.
Keyphrases
- mass spectrometry
- liquid chromatography
- heart failure
- hypertrophic cardiomyopathy
- high resolution mass spectrometry
- end stage renal disease
- tandem mass spectrometry
- gas chromatography
- left ventricular
- ejection fraction
- high performance liquid chromatography
- newly diagnosed
- single cell
- poor prognosis
- capillary electrophoresis
- high resolution
- gene expression
- chronic kidney disease
- simultaneous determination
- skeletal muscle
- multiple sclerosis
- machine learning
- electronic health record
- atrial fibrillation
- deep learning
- dna methylation
- patient reported outcomes
- big data
- binding protein
- ms ms
- genome wide
- blood brain barrier
- protein protein
- bioinformatics analysis