Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• BMP and NODAL paracrine signalling regulate the totipotent-like cell state in embryonic stem cells.

  PMID 41660012 · PMC12876259 · Frontiers in cell and developmental biology · 2025 · 7 claims · 8 setups

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  BMP and NODAL (TGF-β) paracrine signalling are key routes of intercellular communication that respectively enhance or diminish the totipotent-like cell (TLC) state in mouse ESCs

  escs esc scrna-seq cellchat differential

• A mechanistic model captures the emergence and implications of non-genetic heterogeneity and reversible drug resistance in ER+ breast cancer cells.

  PMID 34316714 · PMC8271219 · NAR cancer · 2021 · 7 claims · 8 setups

  Has reproduction · 85

  EMT and tamoxifen-resistance (TamR) regulatory axes can drive one another, enabling non-genetic heterogeneity via six co-existing phenotypes (ES, ER, HS, HR, MS, MR)

  gene same randomized publicly racipe stochastic randomized

• NETISCE: a network-based tool for cell fate reprogramming.

  PMID 35725577 · PMC9209484 · NPJ systems biology and applications · 2022 · 8 claims · 4 setups

  Has reproduction · 85

  NETISCE predicts cell fate reprogramming targets in static (GRN/signaling) networks without needing full kinetic parameterization of a dynamical model.

  ascidian pluripotent drosophila signal fvs-finding sfa

• spliceJAC: transition genes and state-specific gene regulation from single-cell transcriptome data.

  PMID 36321549 · PMC9627675 · Molecular systems biology · 2022 · 8 claims · 8 setups

  Has reproduction · 53

  spliceJAC uses unspliced and spliced mRNA count matrices to construct cell state-specific gene-gene regulatory interaction (Jacobian) matrices from scRNA-seq data

  bistable three-gene emt circuits simulation mixed-state grn

• A systems-level analysis of the mutually antagonistic roles of RKIP and BACH1 in dynamics of cancer cell plasticity.

  PMID 37963558 · PMC10645512 · Journal of the Royal Society, Interface · 2023 · 8 claims · 7 setups

  Has reproduction · 95

  RKIP and BACH1 are negatively correlated with each other across most cancer types in TCGA

  tcga er+ ccle computational spearman correlation gene

• CellPolaris: Transfer Learning for Gene Regulatory Network Construction to Guide Cell State Transitions.

  PMID 41498638 · PMC12948241 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups

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  CellPolaris is a unified computational framework performing TF-centered GRN construction, master TF identification, and TF perturbation simulation

  bulk previously round paired transfer-learning cross-species

• PSGRN: Gene regulatory network inference from single-cell perturbational data through self-training with synthetic gold standards.

  PMID 42054465 · PMC13127566 · Science advances · 2026 · 8 claims · 4 setups

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  PSGRN infers GRNs by generating pseudoannotations from gene-gene correlations and iteratively refining them via a self-training classifier using pre/post-intervention expression features.

  k562 rpe1 processed single-cell computational biological

• PRDM1 Is Associated with Chemoradiotherapy-Associated Enrichment of Adaptive NK Cells in Cervical Cancer.

  PMID 42110212 · PMC13150072 · Computational and structural biotechnology journal · 2026 · 8 claims · 8 setups

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  CRT enriches adaptive NK (aNK) cells within the cervical cancer immune microenvironment, with enrichment apparent after the first fraction and persisting after the second

  cervical subclusters ank overlapping single-cell cluster differential

• Unveiling gene perturbation effects through gene regulatory networks inference from single-cell transcriptomic data.

  PMID 41984780 · PMC13082667 · PLoS computational biology · 2026 · 7 claims · 4 setups

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  IGNITE is an unsupervised framework that infers directed, weighted, and signed GRNs directly from unperturbed scRNA-seq data using the inverse problem for a kinetic Ising model.

  pluripotent scrna-seq gene perturbation

• A multi-omic single-cell landscape of perinatal mouse skin maps lineage specification and reveals shared dynamics in human fetal skin.

  PMID 41998142 · PMC13144478 · Experimental & molecular medicine · 2026 · 7 claims · 8 setups

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  Integrated scATAC/scRNA multi-omics analysis of developing mouse skin identifies gene network axes underlying skin lineage specification

  dorsal scrna-seq skin fibroblast scatac-seq scrna-seq spatial