ReviewNano convergence2016
Multidimensional nanomaterials for the control of stem cell fate.
Review in Nano convergence, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Advanced Drug Delivery Modulation via Hybrid Nanofibers Enhances Stem Cell Differentiation.ACS applied materials & interfaces · 2022Article
- Biomaterials to enhance stem cell transplantation.Cell stem cell · 2022Review
- Harnessing the Therapeutic Potential of Extracellular Vesicles for Biomedical Applications Using Multifunctional Magnetic Nanomaterials.Small (Weinheim an der Bergstrasse, Germany) · 2022Review
- Heavy metal removal applications using adsorptive membranes.Nano convergence · 2020Review
- Restoring aged stem cell functionality: Current progress and future directions.Stem cells (Dayton, Ohio) · 2020Review
- A co-culture nanofibre scaffold model of neural cell degeneration in relevance to Parkinson's disease.Scientific reports · 2020Article
- Engineering molecular imaging strategies for regenerative medicine.Bioengineering & translational medicine · 2018Review
- A biodegradable hybrid inorganic nanoscaffold for advanced stem cell therapy.Nature communications · 2018Article
- Applications of Nanosheets in Frontier Cellular Research.Nanomaterials (Basel, Switzerland) · 2018Review
- Three-Dimensional Graphene-RGD Peptide Nanoisland Composites That Enhance the Osteogenesis of Human Adipose-Derived Mesenchymal Stem Cells.International journal of molecular sciences · 2018Article
- Nanotechnology-Driven Therapeutic Interventions in Wound Healing: Potential Uses and Applications.ACS central science · 2017Review
- Biomolecular engineering for nanobio/bionanotechnology.Nano convergence · 2017Review
- Nano-Biosensor for Monitoring the Neural Differentiation of Stem Cells.Nanomaterials (Basel, Switzerland) · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Current stem cell therapy suffers low efficiency in giving rise to differentiated cell lineages, which can replace the original damaged cells. Nanomaterials, on the other hand, provide unique physical size, surface chemistry, conductivity, and topographical microenvironment to regulate stem cell differentiation through multidimensional approaches to facilitate gene delivery, cell-cell, and cell-ECM interactions. In this review, nanomaterials are demonstrated to work both alone and synergistically to guide selective stem cell differentiation. From three different nanotechnology families, three approaches are shown: (1) soluble microenvironmental factors; (2) insoluble physical microenvironment; and (3) nano-topographical features. As regenerative medicine is heavily invested in effective stem cell therapy, this review is inspired to generate discussions in the potential clinical applications of multi-dimensional nanomaterials.
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.