A common cellular response to broad splicing perturbations is characterized by metabolic transcript downregulation driven by the Mdm2-p53 axis
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Updated: Jul 1, 2025

Using the E1A Minigene Tool to Study mRNA Splicing Changes
Published on: April 22, 2021
Jade E Varineau1, Eliezer Calo1,2
1Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Abstract:
Disruptions in core cellular processes elicit stress responses that drive cell-state changes leading to organismal phenotypes. Perturbations in the splicing machinery cause widespread mis-splicing, resulting in p53-dependent cell-state changes that give rise to cell-type-specific phenotypes and disease. However, a unified framework for how cells respond to splicing perturbations, and how this response manifests itself in nuanced disease phenotypes, has yet to be established. Here, we show that a p53-stabilizing Mdm2 alternative splicing event and the resulting widespread downregulation of metabolic transcripts are common events that arise in response to various splicing perturbations in both cellular and organismal models. Together, our results classify a common cellular response to splicing perturbations, put forth a new mechanism behind the cell-type-specific phenotypes that arise when splicing is broadly disrupted, and lend insight into the pleiotropic nature of the effects of p53 stabilization in disease.
Insights
Cells respond to splicing disruptions with a common stress pathway, stabilizing p53 and downregulating metabolism. This reveals a unified mechanism for splicing-related diseases and p53
Area of Science:
- Molecular Biology
- Cellular Stress Responses
- Genetics
Background:
- Cellular processes, including splicing, are critical for organismal health.
- Splicing machinery disruptions trigger stress responses and cell-state changes.
- p53-dependent pathways are implicated in cell-type-specific diseases arising from splicing errors.
Purpose of the Study:
- To establish a unified framework for cellular responses to splicing perturbations.
- To elucidate the mechanism linking splicing disruptions to cell-type-specific disease phenotypes.
- To understand the role of p53 stabilization in diverse disease contexts.
Main Methods:
- Investigated cellular and organismal models subjected to various splicing perturbations.
- Analyzed alternative splicing events, focusing on p53-stabilizing events like Mdm2.
- Quantified transcriptomic changes, particularly the downregulation of metabolic genes.
Main Results:
- Identified a common splicing perturbation response involving p53 stabilization via Mdm2 alternative splicing.
- Observed widespread downregulation of metabolic transcripts as a conserved consequence.
- Demonstrated these events occur across diverse cellular and organismal models.
Conclusions:
- Classified a common cellular response to splicing perturbations.
- Proposed a novel mechanism for cell-type-specific phenotypes in splicing-disrupted diseases.
- Provided insights into the multifaceted effects of p53 stabilization in disease pathogenesis.
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