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Atlas of Computational Cell Reprogramming

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C0 · Target-feature and screen-based discovery T

Class C0 records a score of target features or observed screen outcomes. That score does not by itself settle representation, controllability, or evaluability. Boundary conditions.

Reprogram-Seq

Duan J, Li B, Bhakta M, Xie S, Zhou P, Munshi NV, Hon GC

2019 · Cell reports

Ectopic expression of transcription factors (TFs) can reprogram cell state.

Abstract

From the original paper, Cell reports · PubMed

Ectopic expression of transcription factors (TFs) can reprogram cell state. However, because of the large combinatorial space of possible TF cocktails, it remains difficult to identify TFs that reprogram specific cell types. Here, we develop Reprogram-Seq to experimentally screen thousands of TF cocktails for reprogramming performance. Reprogram-Seq leverages organ-specific cell-atlas data with single-cell perturbation and computational analysis to predict, evaluate, and optimize TF combinations that reprogram a cell type of interest. Focusing on the cardiac system, we perform Reprogram-Seq on MEFs using an undirected library of 48 cardiac factors and, separately, a directed library of 10 epicardial-related TFs. We identify a combination of three TFs, which efficiently reprogram MEFs to epicardial-like cells that are transcriptionally, molecularly, morphologically, and functionally similar to primary epicardial cells. Reprogram-Seq holds promise to accelerate the generation of specific cell types for regenerative medicine.

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 Reprogram-Seq relates to the inverse-design framework of the review.

Why this class

Level 0 because the method scores features against a target/background contrast without modelling an intervention uu. The output is a ranked list of candidate identity determinants, not an intervention whose effect has been computed. Representation family is signature / state-matching. Cited in §3.1 of the review. Editorial rationale pending review by the maintainer.

Classification

Class
C0 · Target-feature and screen-based discovery
Representation
Signature / state-matching
Settings
T
Intervention
Transcription factors
Framework
Information-theoretic

Software

Reproducibility
2/4
FAIR4RS
3/5

Last audited 2026-10-20

Citation

Duan J et al. (2019). Rational Reprogramming of Cellular States by Combinatorial Perturbation., Cell reports.

DOI: 10.1016/j.celrep.2019.05.079

PMID: 31216470

BibTeX
@article{reprogram-seq2019,
  title  = {Rational Reprogramming of Cellular States by Combinatorial Perturbation.},
  author = {Duan J et al.},
  year   = {2019},
  journal = {Cell reports},
  pmid = {31216470},
  doi  = {10.1016/j.celrep.2019.05.079}
}