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Related Experiment Video

Updated: Jan 29, 2026

Integrate Imaging Flow Cytometry and Transcriptomic Profiling to Evaluate Altered Endocytic CD1d Trafficking
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Integrative Multimodal Profiling of TAp73 and DNp73 Reveals Isoform-Specific Transcriptomic Coregulator Landscapes in

Steffen Möller1, Alf Spitschak1, Nico Murr1

  • 1Institute of Experimental Gene Therapy and Cancer Research, Rostock University Medical Center, 18057 Rostock, Germany.

Biomolecules
|January 28, 2026
PubMed
Summary
This summary is machine-generated.

The p73 transcription factor has isoforms with opposing roles in cancer. This study maps their DNA binding and co-regulators, revealing distinct functions and potential for AI-driven cancer therapies.

Keywords:
CUT&RUN chromatin profilingEMTcancer patient signaturecofactor enrichment analysiscoregulatory transcription factorsp73

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Area of Science:

  • Cancer biology
  • Molecular oncology
  • Epigenetics

Background:

  • The p73 transcription factor (TF) exhibits diverse isoforms with conflicting roles in cancer progression.
  • While DNp73 promotes cancer stemness and metastasis, the tumor-suppressive TAp73 isoform can paradoxically drive cancer growth.
  • Understanding how p73 isoforms with identical DNA-binding domains yield divergent functional outcomes is crucial.

Purpose of the Study:

  • To comprehensively map the genome-wide DNA-binding and co-transcription factor (coTF) profiles of TAp73α and DNp73β isoforms in melanoma.
  • To identify isoform-specific coTF repertoires and their functional implications in cancer hallmarks.
  • To establish a framework for modeling p73 isoform influence on cancer reprogramming.

Main Methods:

  • Utilized CUT&RUN assays to profile genome-wide DNA binding of TAp73α and DNp73β in melanoma cells.
  • Integrated JASPAR database, transcriptomics, and proteomics data for coTF identification.
  • Analyzed patient survival and gene expression data to correlate findings with clinical outcomes.

Main Results:

  • Discovered distinct coTF repertoires associated with TAp73 and DNp73, revealing isoform-specific regulatory networks.
  • Identified a coregulator signature for epithelial-mesenchymal transition (EMT) genes, enriched for both isoforms, with context-dependent survival effects and poor patient prognosis.
  • Validated PATZ1 as a novel direct interactor of DNp73β among EMT-associated coTFs.

Conclusions:

  • Generated a comprehensive reference map of p73 isoform-specific DNA binding and coTF recruitment in melanoma.
  • Demonstrated that p73 isoforms orchestrate distinct transcriptional programs influencing cancer progression.
  • Established a workflow for modeling p73 isoform impact on cancer, with potential applications in AI-based individualized therapies.