ArticlePLoS genetics2025
Incomplete paralog compensation generates selective dependency on TRA2A in cancer.
Article in PLoS genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Crosstalk between alternative splicing and non-coding RNAs in hepatocellular carcinoma: from regulatory mechanism to therapeutic implications.Non-coding RNA research · 2026Review
- A Real-Data-Driven Framework for Evaluating Differential Transcript Usage Methods Across Long-Read Bulk, Single-Cell, and Spatial Transcriptomics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Dual Role of Transformer 2 Beta as Both a Developmental Necessity and a Disease Modulator.International journal of molecular sciences · 2025Review
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Paralogs often exhibit functional redundancy, allowing them to effectively compensate for each other's loss. However, this buffering mechanism is frequently disrupted in cancer, exposing unique paralog-specific vulnerabilities. Here, we identify a selective dependency on the splicing factor TRA2A. We find that TRA2A and its paralog TRA2B are synthetic lethal partners that function as widespread and largely redundant activators of both alternative and constitutive splicing. While loss of TRA2A alone is typically neutral due to compensation by TRA2B, we discover that a subset of cancer cell lines are highly TRA2A-dependent. Upon TRA2A depletion, these cell lines exhibit a lack of paralog buffering specifically on shared splicing targets, leading to defects in mitosis and cell death. Notably, TRA2B overexpression rescues both the aberrant splicing and lethality associated with TRA2A loss, indicating that paralog compensation is dosage-sensitive. Together, these findings reveal a complex dosage-dependent relationship between paralogous splicing factors, and highlight how dysfunctional paralog buffering can create a selective dependency in cancer.
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Registered trials
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