ArticlePLoS computational biology2011
Systematic search for recipes to generate induced pluripotent stem cells.
Article in PLoS computational biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed.
- Cell-based therapies of autoimmune diseases in the context of artificial intelligence development.Clinical and experimental medicine · 2026Review
- BioLogical: a universal analysis framework for biosystem logical dynamics.Computational and structural biotechnology journal · 2026Article
- Role of frustrations in cell reprogramming.PNAS nexus · 2025Article
- Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks.iScience · 2025Article
- Modulating the dynamics of NFκB and PI3K enhances the ensemble-level TNFR1 signaling mediated apoptotic response.NPJ systems biology and applications · 2023Article
- Minimal frustration underlies the usefulness of incomplete regulatory network models in biology.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Distance covariance entropy reveals primed states and bifurcation dynamics in single-cell RNA-Seq data.iScience · 2022Article
- Effective connectivity determines the critical dynamics of biochemical networks.Journal of the Royal Society, Interface · 2022Article
- Predictive network modeling in human induced pluripotent stem cells identifies key driver genes for insulin responsiveness.PLoS computational biology · 2020Article
- Computational advances of tumor marker selection and sample classification in cancer proteomics.Computational and structural biotechnology journal · 2020Review
- Exploring induced pluripotency in human fibroblasts via construction, validation, and application of a gene regulatory network.PloS one · 2019Article
- Rare-event sampling of epigenetic landscapes and phenotype transitions.PLoS computational biology · 2018Article
- Bayesian Networks Predict Neuronal Transdifferentiation.G3 (Bethesda, Md.) · 2018Article
- Nanog induced intermediate state in regulating stem cell differentiation and reprogramming.BMC systems biology · 2018Article
- Effects of Collective Histone State Dynamics on Epigenetic Landscape and Kinetics of Cell Reprogramming.Scientific reports · 2015Article
- Summary of the DREAM8 Parameter Estimation Challenge: Toward Parameter Identification for Whole-Cell Models.PLoS computational biology · 2015Article
- Discrete Logic Modelling Optimization to Contextualize Prior Knowledge Networks Using PRUNET.PloS one · 2015Article
- Modeling the epigenetic attractors landscape: toward a post-genomic mechanistic understanding of development.Frontiers in genetics · 2015Review
- Quantifying the underlying landscape and paths of cancer.Journal of the Royal Society, Interface · 2014Article
- Stem cell differentiation as a many-body problem.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Generation of induced pluripotent stem cells (iPSCs) opens a new avenue in regenerative medicine. One of the major hurdles for therapeutic applications is to improve the efficiency of generating iPSCs and also to avoid the tumorigenicity, which requires searching for new reprogramming recipes. We present a systems biology approach to efficiently evaluate a large number of possible recipes and find those that are most effective at generating iPSCs. We not only recovered several experimentally confirmed recipes but we also suggested new ones that may improve reprogramming efficiency and quality. In addition, our approach allows one to estimate the cell-state landscape, monitor the progress of reprogramming, identify important regulatory transition states, and ultimately understand the mechanisms of iPSC generation.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.