A Ratiometric Catalog of Protein Isoform Shifts in the Cardiac Fetal Gene Program.
Yu HanSara A WennerstenBoomathi P PandiDominic C M NgEdward LauMaggie P Y LamPublished in: bioRxiv : the preprint server for biology (2024)
The fetal genetic program orchestrates cardiac development and the re-expression of fetal genes is thought to underlie cardiac disease and adaptation. Here, a proteomics ratio test using mass spectrometry is applied to find protein isoforms with statistically significant usage differences in the fetal vs. postnatal mouse heart. Changes in isoform usage ratios are pervasive at the protein level, with 104 significant events observed, including 88 paralog-derived isoform switching events and 16 splicing-derived isoform switching events between fetal and postnatal hearts. The ratiometric proteomic comparisons rediscovered hallmark fetal gene signatures including a postnatal switch from fetal β (MYH7) toward ɑ (MYH6) myosin heavy chains and from slow skeletal muscle (TNNI1) toward cardiac (TNNI3) troponin I. Altered usages in metabolic proteins are prominent, including a platelet to muscle phosphofructokinase (PFKP - PFKM), enolase 1 to 3 (ENO1 - ENO3), and alternative splicing of pyruvate kinase M2 toward M1 (PKM2 - PKM1) isoforms in glycolysis. The data also revealed a parallel change in mitochondrial proteins in cardiac development, suggesting the shift toward aerobic respiration involves also a remodeling of the mitochondrial protein isoform proportion. Finally, a number of glycolytic protein isoforms revert toward their fetal forms in adult hearts under pathological cardiac hypertrophy, suggesting their functional roles in adaptive or maladaptive response, but this reversal is partial. In summary, this work presents a catalog of ratiometric protein markers of the fetal genetic program of the mouse heart, including previously unreported splice isoform markers.
Keyphrases
- genome wide
- mass spectrometry
- binding protein
- skeletal muscle
- left ventricular
- protein protein
- amino acid
- quantum dots
- oxidative stress
- quality improvement
- heart failure
- copy number
- sensitive detection
- living cells
- hypertrophic cardiomyopathy
- adipose tissue
- single cell
- long non coding rna
- metabolic syndrome
- machine learning
- big data
- transcription factor
- young adults
- genome wide identification
- artificial intelligence
- high performance liquid chromatography