Transcriptional Readthrough at Atf4 Locus Suppresses Rps19bp1 and Impairs Heart Development

Zengming Zhang1, Tongbin Wu2, Zeyu Chen1

  • 1Department of Medicine, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.

Insights

Cardiac development relies on RPS19BP1, not ATF4. Deleting ATF4’s polyA signal caused RPS19BP1 downregulation and cardiac defects, revealing a critical mechanism in genetically engineered models.

Area of Science:

  • Cardiovascular Biology
  • Molecular Genetics
  • Developmental Biology

Background:

  • Activating Transcription Factor 4 (ATF4) is a regulator in physiological and pathological conditions.
  • ATF4 activation is linked to cardiomyocyte death in heart diseases.
  • The role of ATF4 in developing cardiomyocytes is unknown.

Purpose of the Study:

  • Investigate the role of ATF4 in cardiomyocyte development.
  • Determine the cause of cardiac defects in specific ATF4 knockout models.
  • Clarify the function of RPS19BP1 in cardiac development.

Main Methods:

  • Generated cardiomyocyte-specific and global Atf4 knockout mouse models.
  • Created cardiomyocyte-specific Rps19bp1 knockout mice.
  • Conducted detailed morphological and molecular analyses of cardiac phenotypes.

Main Results:

  • CM-specific Atf4 deletion with polyA signal removal caused severe cardiac defects and embryonic lethality.
  • This phenotype was linked to Rps19bp1 downregulation and p53 pathway activation.
  • Transcriptional readthrough and fusion transcript formation were observed.
  • CM-specific Rps19bp1 deletion recapitulated the cardiac defects.

Conclusions:

  • RPS19BP1 downregulation, not loss of ATF4 function, underlies cardiac phenotypes in specific Atf4 knockout models.
  • Unintentional deletion of the Atf4 polyA signal caused Rps19bp1 downregulation via transcriptional readthrough.
  • RPS19BP1 is essential for cardiac development, while ATF4's role in this context is indirect.
  • Findings highlight potential confounding cis effects in genetically engineered models and emphasize locus-dependent transcriptional interference.
Abstract

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