ArticleStem cell reports2014
Gene expression variability as a unifying element of the pluripotency network.
Article in Stem cell reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
14 citing papers in PubMed, 27 citations in OpenAlex.
- Detection of genes with differential expression dispersion unravels the role of autophagy in cancer progression.PLoS computational biology · 2023Article
- Paf1c defects challenge the robustness of flower meristem termination inDevelopment (Cambridge, England) · 2019Article
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- Analysis of Gene Expression Variance in Schizophrenia Using Structural Equation Modeling.Frontiers in molecular neuroscience · 2018Article
- Genetically unmatched human iPSC and ESC exhibit equivalent gene expression and neuronal differentiation potential.Scientific reports · 2017Article
- Stably Expressed Genes Involved in Basic Cellular Functions.PloS one · 2017Article
- Article
- Modeling heterogeneity in the pluripotent state: A promising strategy for improving the efficiency and fidelity of stem cell differentiation.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016Review
- Gene expression variability in mammalian embryonic stem cells using single cell RNA-seq data.Computational biology and chemistry · 2016Article
- Retinal Organoids from Pluripotent Stem Cells Efficiently Recapitulate Retinogenesis.Stem cell reports · 2016Article
- TBX3 Knockdown Decreases Reprogramming Efficiency of Human Cells.Stem cells international · 2016Article
- Variability of Gene Expression Identifies Transcriptional Regulators of Early Human Embryonic Development.PLoS genetics · 2015Article
- Cell Cycle-Driven Heterogeneity: On the Road to Demystifying the Transitions between "Poised" and "Restricted" Pluripotent Cell States.Stem cells international · 2015Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 3 countries.
Funding
Abstract
Heterogeneity is a hallmark of stem cell populations, in part due to the molecular differences between cells undergoing self-renewal and those poised to differentiate. We examined phenotypic and molecular heterogeneity in pluripotent stem cell populations, using public gene expression data sets. A high degree of concordance was observed between global gene expression variability and the reported heterogeneity of different human pluripotent lines. Network analysis demonstrated that low-variability genes were the most highly connected, suggesting that these are the most stable elements of the gene regulatory network and are under the highest regulatory constraints. Known drivers of pluripotency were among these, with lowest expression variability of POU5F1 in cells with the highest capacity for self-renewal. Variability of gene expression provides a reliable measure of phenotypic and molecular heterogeneity and predicts those genes with the highest degree of regulatory constraint within the pluripotency network.
Indexed as
Identifiers
What OpenQuestion holds
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.