Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
A ratiometric catalog of protein isoform shifts in the cardiac fetal gene program
Yu Han, Shaonil Binti, Sara A. Wennersten, Boomathi Pandi, Dominic C.M. Ng, Edward Lau, Maggie P.Y. Lam
Yu Han, Shaonil Binti, Sara A. Wennersten, Boomathi Pandi, Dominic C.M. Ng, Edward Lau, Maggie P.Y. Lam
View: Text | PDF
Research Article Aging Cardiology

A ratiometric catalog of protein isoform shifts in the cardiac fetal gene program

  • Text
  • PDF
Abstract

Pathological cardiac remodeling is associated with the reactivation of fetal genes, yet the extent of the heart’s fetal gene program and its impact on proteome compositions remain incompletely understood. Here, using a proteome-wide protein ratio quantification strategy with mass spectrometry, we identified pervasive isoform usage shifts in fetal and postnatal mouse hearts, involving 145 pairs of highly homologous paralogs and alternative splicing–derived isoform proteins. Proteome-wide ratio comparisons readily rediscovered hallmark fetal gene signatures in muscle contraction and glucose metabolism pathways, while revealing what we believe to be previously undescribed isoform usage in mitochondrial and gene-expression-regulating proteins, including PPA1/PPA2, ANT1/ANT2, and PCBP1/PCBP2 switches. Paralogs with differential fetal usage tend to be evolutionarily recent, consistent with functional diversification. Alternative splicing adds another rich source of fetal isoform usage differences, involving PKM M1/M2, GLS1 KGA/GAC, PDLIM5 long/short, and other spliceoforms. When comparing absolute protein proportions, we observed a partial reversion toward fetal gene usage in pathological hearts. In summary, we present a ratiometric catalog of paralogs and spliceoform pairs in the cardiac fetal gene program. More generally, the results demonstrate the potential of applying the proteome-wide ratio test concept to discover new regulatory modalities beyond differential gene expression.

Authors

Yu Han, Shaonil Binti, Sara A. Wennersten, Boomathi Pandi, Dominic C.M. Ng, Edward Lau, Maggie P.Y. Lam

×

Figure 4

Examples of isoform usage shifts in gene regulation–related proteins.

Options: View larger image (or click on image) Download as PowerPoint
Examples of isoform usage shifts in gene regulation–related proteins.
(A...
(A) Postnatal shifts in the ratio of gene expression regulation–related proteins in data generated in this study and in the reanalysis of Gu et al. (23) limma FDR-adjusted P value (Adj. P) in E17 versus P1 (n = 5) in this study. Error bars and ribbon width show SD. (B) Immunofluorescence images of human AC16 cardiac cells overexpressing HaloTag-linked PCBP1 and PCBP2, showing nucleocytoplasmic localization of both proteins. Scale bar: 10 μm. (C) RNA-sequencing data showing the top differentially expressed genes associated with the expression of exogenous PCBP1 (top) and PCBP2 (bottom) in human AC16 cells. Colors: log2(fold change) (logFC) versus control cells. Triangles: known binding target of PCBP1 or PCBP2 in ENCODE eCLIP data (90). (D) Scatterplot showing the overall similarities in the RNA abundance profiles of AC16 cells in PCBP1 (x axis) and PCBP2 (y axis) overexpression over control cells (Pearson’s r = 0.59, P ≈ 0 in log-log scale). Red data points: significantly differentially expressed genes (DESeq2 shrinkage s value < 0.05). Blue labels: genes that show different regulations (off-diagonal genes) between PCBP1 and PCBP2. (E) Dot plots showing the effects of PCBP1 and/or PCBP2 overexpression on the abundance (normalized counts) of select genes that show an interaction effect. –/–, no overexpression; –/+, PCBP1 overexpression only; +/–, PCBP2 overexpression only; +/+, concurrent PCBP1 and PCBP2 overexpression in the same cells.

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts