ArticleGenome research2016
Reconstructed cell fate-regulatory programs in stem cells reveal hierarchies and key factors of neurogenesis.
Article in Genome research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
17 citing papers in PubMed.
- Inferring Gene Regulatory Networks in Stem Cells: Methods and Applications.Methods in molecular biology (Clifton, N.J.) · 2027Review
- Article
- Decoding transcriptional identity during neuron-astroglia cell fate driven by RAR-specific agonists.NAR molecular medicine · 2025Article
- Menopause-induced 17β-estradiol and progesterone loss increases senescence markers, matrix disassembly and degeneration in mouse cartilage.Nature aging · 2025Article
- Rewiring of the epigenome and chromatin architecture by exogenously induced retinoic acid signaling during zebrafish embryonic development.Nucleic acids research · 2024Article
- Retinoids: Mechanisms of Action in Neuronal Cell Fate Acquisition.Life (Basel, Switzerland) · 2023Review
- Vitamin A and retinoid signaling in the kidneys.Pharmacology & therapeutics · 2023Review
- Synergistic activation of RARβ and RARγ nuclear receptors restores cell specialization during stem cell differentiation by hijacking RARα-controlled programs.Life science alliance · 2023Article
- Mechanisms of Feedback Regulation of Vitamin A Metabolism.Nutrients · 2022Review
- T Cell-Intrinsic Vitamin A Metabolism and Its Signaling Are Targets for Memory T Cell-Based Cancer Immunotherapy.Frontiers in immunology · 2022Article
- Inferring Regulatory Programs Governing Region Specificity of Neuroepithelial Stem Cells during Early Hindbrain and Spinal Cord Development.Cell systems · 2019Article
- Recent insights on the role and regulation of retinoic acid signaling during epicardial development.Genesis (New York, N.Y. : 2000) · 2019Review
- Retinoic Acid Induces Differentiation of Mouse F9 Embryonic Carcinoma Cell by Modulating the miR-485 Targeting of Abhd2.International journal of molecular sciences · 2019Article
- Modeling gene-regulatory networks to describe cell fate transitions and predict master regulators.NPJ systems biology and applications · 2018Article
- Distinct retinoic acid receptor (RAR) isotypes control differentiation of embryonal carcinoma cells to dopaminergic or striatopallidal medium spiny neurons.Scientific reports · 2017Article
- Epimetheus - a multi-profile normalizer for epigenomic sequencing data.BMC bioinformatics · 2017Article
- Inference of cell type specific regulatory networks on mammalian lineages.Current opinion in systems biology · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cell lineages, which shape the body architecture and specify cell functions, derive from the integration of a plethora of cell intrinsic and extrinsic signals. These signals trigger a multiplicity of decisions at several levels to modulate the activity of dynamic gene regulatory networks (GRNs), which ensure both general and cell-specific functions within a given lineage, thereby establishing cell fates. Significant knowledge about these events and the involved key drivers comes from homogeneous cell differentiation models. Even a single chemical trigger, such as the morphogen all-trans retinoic acid (RA), can induce the complex network of gene-regulatory decisions that matures a stem/precursor cell to a particular step within a given lineage. Here we have dissected the GRNs involved in the RA-induced neuronal or endodermal cell fate specification by integrating dynamic RXRA binding, chromatin accessibility, epigenetic promoter epigenetic status, and the transcriptional activity inferred from RNA polymerase II mapping and transcription profiling. Our data reveal how RA induces a network of transcription factors (TFs), which direct the temporal organization of cognate GRNs, thereby driving neuronal/endodermal cell fate specification. Modeling signal transduction propagation using the reconstructed GRNs indicated critical TFs for neuronal cell fate specification, which were confirmed by CRISPR/Cas9-mediated genome editing. Overall, this study demonstrates that a systems view of cell fate specification combined with computational signal transduction models provides the necessary insight in cellular plasticity for cell fate engineering. The present integrated approach can be used to monitor the in vitro capacity of (engineered) cells/tissues to establish cell lineages for regenerative medicine.
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