ReviewNeurochemical research2019
The Story of Nanoparticles in Differentiation of Stem Cells into Neural Cells.
Review in Neurochemical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Nano-Winter Is Coming for Sperm Cryopreservation: Advanced Approaches for Life in Ice: A Review.International journal of fertility & sterility · 2026Article
- The Effects of PLGA Nanoparticles Containing Different Growth Factors on Neural Stem Cell Differentiation and Their Transition Efficiency After Targeting With TRF.CNS neuroscience & therapeutics · 2025Article
- Hybrid hydrogels containing gradients in gold nanoparticles for localized delivery of mesenchymal stem cells and enhanced nerve tissues remodelingMaterials today. Bio · 2025Article
- Size-Optimized Layered Double Hydroxide Nanoparticles Promote Neural Progenitor Cells Differentiation of Embryonic Stem Cells Through the Regulation of MInternational journal of nanomedicine · 2024Article
- Application of stem cells in regeneration medicine.MedComm · 2023Review
- Article
- Magnetic Nanomaterials Mediate Electromagnetic Stimulations of Nerves for Applications in Stem Cell and Cancer Treatments.Journal of functional biomaterials · 2023Review
- Nanostructured Materials for Artificial Tissue Replacements.International journal of molecular sciences · 2020Review
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stem cells have been long looked at as possible therapeutic vehicles in regenerative medicine largely due to their multi-lineage differentiation potential and paracrine actions. Therefore, development of new procedures for the differentiation of stem cells into different cell types holds great potential for opening new opportunities in regenerative medicine. In addition to various methods for inducing stem cell differentiation, the utilization of nanomaterials for differentiation of stem cells has recently received considerable attention and has become a potential tool for such purpose. Multiple lines of evidence revealed that nanomaterial-based scaffolds, inorganic nanoparticles (NPs), and biodegradable polymers have led to significant progress in regulation of stem cell differentiation. Several studies indicated that different NPs including selenium, gold, graphene quantum dots (QDs) and silica could be employed for the regulation of differentiation of stem cells such as human mesenchymal stem cells (hMSCs). In addition, magnetic core-shell NPs could be applied for the regulation of neural stem cell (NSC) differentiation. Taken together, these findings suggested that NPs are potential candidates which could be utilized for the differentiation of stem cells into various cell types such as neural cells. Herein, we summarized the application of NPs for differentiation of stem cells into various cells in particular neural cells.
Indexed as
Identifiers
31720946What 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.