ArticleiScience2018
Single-Cell Profiling Identifies Key Pathways Expressed by iPSCs Cultured in Different Commercial Media.
Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Transcriptional Bursting in Pluripotent Stem Cells.Biology · 2026Review
- Patient induced pluripotent stem cells identify specificities of a reticular pseudodrusen phenotype in age-related macular degeneration.Genome medicine · 2026Article
- Temporal proteomic profiling of iPSC-derived human liver organoids reveals optimal maturation for drug metabolism and toxicology.Scientific reports · 2026Article
- Large-scale drug screening in iPSC-derived motor neurons from sporadic ALS patients identifies a potential combinatorial therapy.Nature neuroscience · 2026Article
- Modulating DNA Polα Enhances Cell Reprogramming Across Species.bioRxiv : the preprint server for biology · 2024Article
- Article
- Human archetypal pluripotent stem cells differentiate into trophoblast stem cells via endogenous BMP5/7 induction without transitioning through naive state.Scientific reports · 2024Article
- Integration of xeno-free single-cell cloning in CRISPR-mediated DNA editing of human iPSCs improves homogeneity and methodological efficiency of cellular disease modeling.Stem cell reports · 2023Article
- A machine learning one-class logistic regression model to predict stemness for single cell transcriptomics and spatial omics.BMC genomics · 2023Article
- Genetic manipulation and targeted protein degradation in mammalian systems: practical considerations, tips and tricks for discovery research.FEBS open bio · 2023Review
- A village in a dish model system for population-scale hiPSC studies.Nature communications · 2023Article
- Article
- Transcriptomic and proteomic retinal pigment epithelium signatures of age-related macular degeneration.Nature communications · 2022Article
- Retinal ganglion cell-specific genetic regulation in primary open-angle glaucoma.Cell genomics · 2022Article
- Culture Variabilities of Human iPSC-Derived Cerebral Organoids Are a Major Issue for the Modelling of Phenotypes Observed in Alzheimer's Disease.Stem cell reviews and reports · 2022Article
- A Multistep Workflow to Evaluate Newly Generated iPSCs and Their Ability to Generate Different Cell Types.Methods and protocols · 2021Article
- Balancing serendipity and reproducibility: Pluripotent stem cells as experimental systems for intellectual and developmental disorders.Stem cell reports · 2021Review
- Transcriptomic Profiling of Human Pluripotent Stem Cell-derived Retinal Pigment Epithelium over Time.Genomics, proteomics & bioinformatics · 2021Article
- Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells.Genome biology · 2021Article
- Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing.NAR genomics and bioinformatics · 2020Article
Corrections and comments
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Authors and funding
22 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We assessed the pluripotency of human induced pluripotent stem cells (iPSCs) maintained on an automated platform using StemFlex and TeSR-E8 media. Analysis of transcriptome of single cells revealed similar expression of core pluripotency genes, as well as genes associated with naive and primed states of pluripotency. Analysis of individual cells from four samples consisting of two different iPSC lines each grown in the two culture media revealed a shared subpopulation structure with three main subpopulations different in pluripotency states. By implementing a machine learning approach, we estimated that most cells within each subpopulation are very similar between all four samples. The single-cell RNA sequencing analysis of iPSC lines grown in both media reports the molecular signature in StemFlex medium and how it compares to that observed in the TeSR-E8 medium.
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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.