ArticleScientific reports2014
Heterogeneous structure of stem cells dynamics: statistical models and quantitative predictions.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Development of Advanced Oral-on-a-Chip: Replicating the Intricate Human Oral Microenvironment.International journal of biological sciences · 2024Article
- DeepSea is an efficient deep-learning model for single-cell segmentation and tracking in time-lapse microscopy.Cell reports methods · 2023Article
- Fractional Dynamics Foster Deep Learning of COPD Stage Prediction.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- A Single-Cell Raman Spectroscopy Analysis of Bone Marrow Mesenchymal Stem/Stromal Cells to Identify Inter-Individual Diversity.International journal of molecular sciences · 2022Article
- Identifying stem cell numbers and functional heterogeneities during postembryonic organ growth.iScience · 2022Article
- Single-Cell Transcriptome Analysis of Human Adipose-Derived Stromal Cells Identifies a Contractile Cell Subpopulation.Stem cells international · 2021Article
- A healthy dose of chaos: Using fractal frameworks for engineering higher-fidelity biomedical systems.Biomaterials · 2019Review
- Feedback between tissue packing and neurogenesis in the zebrafish neural tube.Development (Cambridge, England) · 2018Article
- Multi-fractal characterization of bacterial swimming dynamics: a case study on real and simulatedProceedings. Mathematical, physical, and engineering sciences · 2017Article
- Modeling, signaling and cytoskeleton dynamics: integrated modeling-experimental frameworks in cell migration.Wiley interdisciplinary reviews. Systems biology and medicine · 2017Review
- Stochasticity and Spatial Interaction Govern Stem Cell Differentiation Dynamics.Scientific reports · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding stem cell (SC) population dynamics is essential for developing models that can be used in basic science and medicine, to aid in predicting cells fate. These models can be used as tools e.g. in studying patho-physiological events at the cellular and tissue level, predicting (mal)functions along the developmental course, and personalized regenerative medicine. Using time-lapsed imaging and statistical tools, we show that the dynamics of SC populations involve a heterogeneous structure consisting of multiple sub-population behaviors. Using non-Gaussian statistical approaches, we identify the co-existence of fast and slow dividing subpopulations, and quiescent cells, in stem cells from three species. The mathematical analysis also shows that, instead of developing independently, SCs exhibit a time-dependent fractal behavior as they interact with each other through molecular and tactile signals. These findings suggest that more sophisticated models of SC dynamics should view SC populations as a collective and avoid the simplifying homogeneity assumption by accounting for the presence of more than one dividing sub-population, and their multi-fractal characteristics.
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.