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Atlas of Computational Cell Reprogramming

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L3 · Explicit model-based inverse intervention P

REVERT

Shin D, Gong JR, Jeong SD, Cho Y, Kim HP, Kim TY, Cho KH

2025 · Advanced science (Weinheim, Baden-Wurttemberg, Germany)

A cell fate change such as tumorigenesis incurs critical transition.

Abstract

From the original paper, Advanced science (Weinheim, Baden-Wurttemberg, Germany) · PubMed

A cell fate change such as tumorigenesis incurs critical transition. It remains a longstanding challenge whether the underlying mechanism can be unraveled and a molecular switch that can reverse such transition is found. Here a systems framework, REVERT, is presented with which can reconstruct the core molecular regulatory network model and a reversion switch based on single-cell transcriptome data over the transition process is identified. The usefulness of REVERT is demonstrated by applying it to single-cell transcriptome of patient-derived matched organoids of colon cancer and normal colon. REVERT is a generic framework that can be applied to investigate various cell fate transition phenomena.

Summary

Editorial summary pending review by the maintainer. The paper's own abstract appears above; the Atlas summary in the maintainer's voice will explain how REVERT relates to the cross-modality inverse-design framework of the review.

Why this level

Level 3 because candidate interventions enter an explicit forward operator FθuF_{\theta_u} and the predicted post-intervention outcome is what scores each candidate. Representation family is executable intervention model. Cited in §3.4 of the review. Editorial rationale pending review by the maintainer.

Classification

Level
L3
Representation
Executable intervention model
Modalities
P
Intervention
Transcription factors
Framework
Boolean network

Software

Reproducibility
4 of 4
FAIR4RS
0 of 5

Last audited 2026-05-24

Citation

Shin D et al. (2025). Attractor Landscape Analysis Reveals a Reversion Switch in the Transition of Colorectal Tumorigenesis., Advanced science (Weinheim, Baden-Wurttemberg, Germany).

DOI: 10.1002/advs.202412503

PMID: 39840939

BibTeX
@article{revert2025,
  title  = {Attractor Landscape Analysis Reveals a Reversion Switch in the Transition of Colorectal Tumorigenesis.},
  author = {Shin D et al.},
  year   = {2025},
  journal = {Advanced science (Weinheim, Baden-Wurttemberg, Germany)},
  pmid = {39840939},
  doi  = {10.1002/advs.202412503}
}