Skip to main content
Erschienen in: European Journal of Medical Research 1/2023

Open Access 01.12.2023 | Review

The effect of nanomaterials on embryonic stem cell neural differentiation: a systematic review

verfasst von: Ramyar Rahimi Darehbagh, Mozaffar Mahmoodi, Nader Amini, Media Babahajiani, Azra Allavaisie, Yousef Moradi

Erschienen in: European Journal of Medical Research | Ausgabe 1/2023

Abstract

Background

Humans’ nervous system has a limited ability to repair nerve cells, which poses substantial challenges in treating injuries and diseases. Stem cells are identified by the potential to renew their selves and develop into several cell types, making them ideal candidates for cell replacement in injured neurons. Neuronal differentiation of embryonic stem cells in modern medicine is significant. Nanomaterials have distinct advantages in directing stem cell function and tissue regeneration in this field. We attempted in this systematic review to collect data, analyze them, and report results on the effect of nanomaterials on neuronal differentiation of embryonic stem cells.

Methods

International databases such as PubMed, Scopus, ISI Web of Science, and EMBASE were searched for available articles on the effect of nanomaterials on neuronal differentiation of embryonic stem cells (up to OCTOBER 2023). After that, screening (by title, abstract, and full text), selection, and data extraction were performed. Also, quality assessment was conducted based on the STROBE checklist.

Results

In total, 1507 articles were identified and assessed, and then only 29 articles were found eligible to be included. Nine studies used 0D nanomaterials, ten used 1D nanomaterials, two reported 2D nanomaterials, and eight demonstrated the application of 3D nanomaterials. The main biomaterial in studies was polymer-based composites. Three studies reported the negative effect of nanomaterials on neural differentiation.

Conclusion

Neural differentiation is crucial in neurological regenerative medicine. Nanomaterials with different characteristics, particularly those cellular regulating activities and stem cell fate, have much potential in neural tissue engineering. These findings indicate a new understanding of potential applications of physicochemical cues in nerve tissue engineering.

Graphical Abstract

Hinweise

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Abkürzungen
hESCs
Human embryonic stem cells
iPSCs
Induced pluripotent stem cells
ESCs
Embryonic stem cells
NPCs
Neural progenitor cells
NSCs
Neural stem cells
0D
Zero dimensional
1D
One dimensional
2D
Two dimensional
3D
Three dimensional
PLGA
Poly lactic-co-glycolic acid
PCL
Poly-3-caprolactone
PRISMA
Preferred Reported Items for Systematic Review and Meta-analysis)
XCA/mag
Xanthan/magnetite nanoparticles
MWCNT-PE
Multiwalled carbon nanotube-coated polyethylene
MION
Magnetic iron oxide nanoparticles
AuNP
Gold nanoparticles
mESC
Mouse embryonic stem cells
SMAD
Suppressor of mothers against decapentaplegic
EBs
Embryoid bodies
MION
Magnetic iron oxide nanoparticles
CNF
Carbon nanofibers
FGF2
Fibroblast growth factor
bFGF
Basic fibroblast growth factor
EGF
Epidermal growth factor
TDNs
Tetrahedral DNA nanostructures
RA
Retinoic acid
EB
Embryoid body
MEF
Mouse embryonic fibroblasts
ECM
Extracellular matrix
ROS
Reactive oxygen species
DA
Dopaminergic neurons
SCI
Spinal cord injury
AMD
Age-related macular degeneration

Introduction

Neurons and glial cells are the two basic types of cells in the nervous system. Neurons are distinguished from other cells by several characteristics, the most important of which is communicating with other cells through synapses. Hundreds of different types of neurons exist in the nervous system of a single species, such as humans, with a vast range of morphologies and functions. Sensory neurons translate physical stimuli such as light and sound into neural impulses, whereas motor neurons translate neural signals into muscle or gland action. Most neurons, however, develop centralized structures (the brain and ganglia) in many animals, receiving all of their input from other neurons and giving all of their output to other neurons [1, 2]. Glial cells are non-neuronal cells in the nervous system, which provide support and nutrition, regulate homeostasis, produce myelin, and aid signal transmission. Glial cells perform various essential functions, such as supporting and holding neurons in place, supplying nutrients to neurons, electrically insulating neurons, destroying infections and removing dead neurons, and providing guiding cues to direct neuron axons to their destinations. Glial cells (oligodendrocytes of the central nervous system and Schwann cells of the peripheral nervous system) produce layers of myelin. This fatty substance wraps around axons and provides electrical insulation, allowing them to transfer action potentials much faster and more efficiently. Microglia and astrocytes, two types of glial cells, have recently been discovered to play an essential role as resident immune cells in the central nervous system [35]. The repair or replacement of nerve cells destroyed by injuries or diseases is required for nervous system regeneration. While lower organisms have a large capacity for neural regeneration, evolutionarily higher organisms, such as humans, have a limited ability to repair nerve cells, which poses substantial challenges in treating nervous system injuries and diseases. Regardless of the underlying cause of nervous system injuries, the result is often an inability of nerve cells to transmit neural impulses to specific nervous system sections. One of the three types of nervous system repair is required to regain functionality. Damaged neuronal axons can regenerate, whereas the rest of the neuron, including the cell body, is unaffected. Other approaches include repairing damaged nerve cells and creating new neurons to replace lost ones. While these three processes of nervous system repair potentially might repair all types of damage and degeneration, they are often successful in only selected parts of the nervous system [6, 7].
Stem cells are good tools for neural repair. They are identified by the potential to renew their selves and develop into several cell types, making them ideal candidates for cell replacement in injured neurons. Adult stem cells from the hippocampus and subventricular zone have traditionally been used as a source of neural stem cells for replacement. New and intriguing ways for neural cell replacement are being developed because of the advancement of pluripotent stem cells, such as human embryonic stem cells (hESCs) and human induced pluripotent stem cells (iPSCs) [6]. Embryonic stem cells (ESCs) generated from the inner cell mass of a blastocyt have pluripotency, allowing them to reproduce forever and develop into all three embryonic germ layer derivatives [8]. The differentiation of ESCs into other somatic cell types, particularly neural progenitor cells (NPCs), has been used as an in vitro model to research neurogenesis in early human development, including the molecular mechanisms of proliferation and differentiation. The plasticity and self-renewal capabilities of ESCs paved the path for stem cell transplantation, regenerative medicine, and tissue engineering [9, 10]. The control and management of differentiation of cells into particular cell types is essential for the clinical application of stem cells, particularly in cell therapy and tissue engineering. However, the progress of stem cell differentiation for stem cell treatment is constrained by the poor differentiation efficiency and success rate. It is crucial to allow committed differentiation of ESCs into specific lineages before implantation for safe use in cell-based therapies because undifferentiated ESCs in vivo increases the teratoma risk. Therefore, techniques to increase the effectiveness of directed differentiation of stem cells into particular cell types must be immediately developed [11]. Growth factors, hormones, minor chemicals, and extracellular matrix are examples of biological cues and biomaterials which might influence the stem cell fate of differentiation and pluripotency. One of these biomaterials is nanomaterials, which, due to their small size, simplicity in synthesis, and flexibility in surface functionalization, have been widely used to control the behavior of cells [12] (Fig. 1).
Nanostructured materials are classified as zero dimensional (0D), one dimensional (1D), two dimensional (2D), or three dimensional (3D) based on the dimensions of their structural elements (Fig. 2) [13].
Nanomaterials are usually synthesized, but there are reports that they exist in nature and are made by plants [14, 15]. Because of their biomimetic qualities and particular biological and mechanical capabilities, nanomaterials have distinct advantages in directing stem cell function and tissue regeneration. Researchers have concentrated on using nanomaterials in the biomedical field because an adequate nano–bio interface can ensure cellular behavior control and, as a result, efficient tissue regeneration. Furthermore, recent breakthroughs in nanomaterial fabrication have increased the awareness of materials science and tissue engineering experts on the potential significance of stem cells in regenerative medicine and advances in stem cell biology have fueled research interests in this sector. Quantum dots, inorganic, and organic nanoparticles, polyplexes, carbon nanotubes, and liposomes are the most often utilized nanoparticles in stem cell research. In addition, nanoparticles made from synthetic materials like poly lactic-co-glycolic acid (PLGA) and poly-3-caprolactone (PCL), as well as natural materials like collagen and chitosan, can be utilized in medicinal applications. These nanoparticles could be used in stem cell research in the following ways: genes, proteins, intracellular delivery of DNA, peptides, RNA interference molecules, and micro medicines for survival or differentiation of stem cells and biosensing of the physiological stem cell status [11, 16, 17].
While there have been previous reviews addressing the influence of nanomaterials on stem cell differentiation, our study stands out in several respects. Firstly, our review exclusively focuses on embryonic stem cells and their neural differentiation in the presence of nanomaterials, a niche that has not been extensively covered. This narrower focus has allowed for a more detailed and comprehensive understanding of the mechanisms and implications involved. Secondly, our analysis offers a classification based on the dimensionality of nanomaterials (0D, 1D, 2D, and 3D), providing a structured framework that facilitates a clearer comparison and understanding of their respective impacts. Lastly, by integrating the most recent studies up to 2023, our review captures the latest advancements and insights in the field, ensuring that readers are equipped with the most current understanding of the topic (Fig. 3).

Materials and methods

This systematic review was conducted based on the PRISMA (Preferred Reported Items for Systematic Review and Meta-analysis) guidelines.

Search strategy and selection

This systematic review was performed to determine qualified studies on the effect of nanomaterials on neuronal differentiation of embryonic stem cells. Using the formulas presented in Table 1, all available studies were searched in PubMed (Medline), Scopus, Embase (Elsevier), and Web of Science databases. Researchers searched these databases by hand through the reference lists and gray literature. These search engines were searched without language limitations from January 1990 to August 2022. The search protocol was developed based on the four primary roots of “Nanomaterials," “Embryonic," “Neural Differentiation” and “Stem Cell.” All related components were added to search queries based on scientific MeSH terms, EMTREE, or the keywords. The results were limited to human subjects. Reference Manager Bibliographic software was used to manage searched citations. Duplicate entries were searched by considering the title of the published papers, authors, the year of publication, and specifications of the source types. We reviewed the primary search results, and after reviewing each article by its title and available abstract, some of them were eliminated. The evaluation of the papers under consideration was separately performed based on the inclusion and exclusion criteria by the two researchers (RRD, YM) (Fig. 4).
Table 1
Identification of studies via databases and registers
https://static-content.springer.com/image/art%3A10.1186%2Fs40001-023-01546-0/MediaObjects/40001_2023_1546_Tab1_HTML.png

Inclusion and exclusion criteria

We included all studies assessing the effect of nanomaterials on embryonic stem cell neural differentiation. We excluded duplicate citations, non-peer-reviewed articles whose abstract and full text was unavailable, and other primary outcomes.

Data collection and extraction

The found articles through the search were entered into the EndNote software, and duplicates were eliminated. Then, two independent reviewers performed the first stage of screening according to their titles and abstracts. The full texts of selected articles were reviewed to be evaluated based on the inclusion and exclusion criteria. In the case of disagreement, a third researcher’s ideas were considered for selecting studies. For each qualified article, the researchers collected quantitative and descriptive data.
In particular, the researchers extracted data including (1) authors and the publication year; (2) the source of cells; (3) the nanostructure; (4) biomaterial (biomaterial types); (5) the application model; (6) impacts on differentiation) the effect mechanism to differentiate ESCs); (7) differentiation review techniques (the characterization method to evaluate cell differentiation); (8) neuronal expression marker check; and (9) resulting neuron type (the type of differentiated neuron cells). The study research methodology is illustrated in Table2.
Table 2
Effect of nanomaterials on embryonic stem cell neural differentiation
Resulted neuron type
Neuronal expression marker check
Differentiation review technique
Impact on differentiations
Biomaterial
Nanostructure
Source of cells
Year of publication
Authors’ name
References
Composite
Polymers
Ceramic
Metal
Not mentioned
Β3-Tubulin
ICCa
Indirect
PAA-g-CNTd
2D nanofilm
hESC
2009
C. Wang, et al
[18]
CLSMb
SEMc
Not mentioned
Nestin
ICC
Direct
Collagen/CNT
1D nanofiber
hESC
2009
R. Wang,
et al
[19]
AFMe
PCMf
Neural precursors
Β3-Tubulin
ICC
Indirect
PCL
1D nanofiber
mESCh
2009
S. E. Sakiyama-Elbert, et al
[20]
early neurons
Nestin
oligodendrocytes
GFAP
ICC
astrocytes
O4
Motor neurons
Synapsin I
ICC
Direct
PMAA-g-CNTi
1D nanofiber
hESC
2010
T. I. Chao, et al
[21]
Β3-Tubulin
CLSM
Oct4↓
SEM
Neural progenitors
mature neurons
Β3-Tubulin
ICC
PCM
RT-PCRj
Indirect
PLLAk-g-heparin
1D
nanofiber
hESC
2010
H. J. Lam
[22]
Nestin
GFAP
NES
SOX2
TUBB3
NEF3
Tyrosine-hydroxylase
Oct4↓
Nanog↓
Mature neurons
Β3-Tubulin
ICC
SEM
CLSM
RT-PCR
Direct
–_
Polyurethane acrylate
3D nanoscale ridge/groove pattern arrays
hESC
2010
M. R. Lee, K. W. Kwon
[23]
Tuj1
Nestin
MAP2
HuC/D
NeuroD1
Oct4↓
Pdx1 ↓
Brachyury ↓
GATA6↓
DCN↓
Not mentioned
Β3-Tubulin
ICC
SEM
CLSM
Indirect
Silk–CNT
3D composite scaffolds
hESC
2012
C. S. Chen
[24]
Nestin
Oligodendrocytes
mature neurons
Β3-Tubulin
ICC
ICC
ICC
Indirect
Activated charcoal/collagen/chitosan
_
Activated charcoal
3D composite scaffolds
hESC
2012
E. Y. T. Chen
[25]
Tuj1
peripherin
Nestin
MAP2
MBP
SEM
Olig-2
Neurofilament
Pax6
FM1-43
Not mentioned
MAP2
ICC
SEM
RT-PCR
Indirect
PLLA-g-CNT
1D nanofiber
mESC
2012
M. Kabiri
[26]
Nestin
Β3-Tubulin
NSE
Mature neurons
Β3-Tubulin
ICC
SEM
Indirect
PLLA-g-YIGSR peptide
1D nanofiber
mESC
2013
L. A. Smith Callahan
[27]
Pax6
Nestin
TUJ1
MAP2
Oct4↓
Mature neurons
Β3-Tubulin
ICC
FCM
SEM
RT-PCR
Indirect
MWCNT–PEl
3D composite scaffolds
mESC
2013
R. Zang
[28]
Tuj1
Nurr1
Nestin
Oct4↓
Motor neurons
Hb9
ICC
SEM
RT-PCR
Indirect
Mesoporous silica
0D nanoparticles
mESC
2014
A. E. Garcia-Bennett
[29]
Islet1
Islet2
Lhx1
Lhx3
Hoxc5/8
ChAT
Dopamine neurons
TH
MAP2
ICC
Indirect
Graphene oxide
0D nanoparticles
mESC
2014
D. H. Yang
[30]
SEM
RT-PCR
Motor and sensory neurons
MAP2
ICC
FCM
SEM
Indirect
XCA/magm
XCA
3D composite scaffolds
mESC
2015
T. Glaser
[31]
Tuj1
Islet1
Pax6
Reduction of
viability and neural differentiation
Β3-Tubulin
ICC
PCM
Negative effect
Fe2O3
0D nanoparticles
mESC
2015
A. A. Rostami
[32]
Mature neurons
oligodendrocytes
astrocytes
Islet1
Islet2
Lim1
Lim2
Nkx6
Pax6
olig2
Gfap
Nse
Omg
MAP2
Nestin↓
ICC
SEM
RT-PCR
Indirect
PCL
1D nanofiber
mESC
2016
N. Abbasi
[33]
Reduction of
viability and neural differentiation
MAP2
AFP
NESTIN
NCAM
BRACHYURY
PITX2
LEFTY
NODAL
ICC
PCM
RT-PCR
Negative effect
AuNPn
(1.5nm)
0D nanoparticles
hESC
2016
M. C. Senut
[34]
Not mentioned
Β3-Tubulin
Tuj1
Oct4↓
ICC
SEM
RT-PCR
Indirect
 
Mesoporous silica
0D nanoparticles
mESC
2017
S. J. Park
[35]
Neural progenitors
mature neurons
Astrocytes
oligodendrocyte
Β3-Tubulin
Tuj1
GFAP
O4
NESTIN
Pax6
Oct4↓
Nanog↓
ICC
CLSM
SEM
RT-PCR
FCM
Indirect
PLGA
1D nanofiber
mESC
2017
L. E. Sperling
[36]
Dopaminergic neurons
MAP-2
TH
Nurr1
ICC
TEM
RT-PCR
FCM
Indirect
AuNP
(30nm)
0D nanoparticles
mESCo
2017
M. Wei
[37]
Neural progenitors
mature neurons
Astrocytes
Oligodendrocytes
dopaminergic neurons
Sox1
Pax6
Tubb3
Gap43
GFAP
MAP-2
Th
OLIG1
Cdh2
Syp
Pou5f1↓
SSEA-1↓
ICC
RT-PCR
Indirect
GYIGSR peptide-g-PCL
1D nanofiber
mESC
2018
E. A. Silantyeva
[38]
Not mentioned
Β3-Tubulin
Tuj1
Oct4↓
ICC
RT-PCR
Direct
MIONp
0D nanoparticles
mESC
2019
R. Dai
[39]
Not mentioned
Β3-Tubulin
ICC
RT-PCR
Indirect
GNP–pMAG/pSS
3D composite scaffolds
mESC
2019
S. Zhang
[40]
Photoreceptor precursor cells
CRX
Ki-67↓
Oct4↓
ICC
RT-PCR
SEM
Indirect
 
CNFq/CNT
1D Nanofiber Nanotube
hESC
2020
Y. Chemla
[41]
Not mentioned
Β3-Tubulin
NESTIN
Flk1
Sox17
Oct4↓
ICC
RT-PCR
Direct
AuNP–PMS/FGF2r
3D composite scaffolds
mESC
2020
F. Yu
[42]
Mature neurons
Astrocytes
Oligodendrocytes
Β3-Tubulin
NESTIN
MAP-2
MBP
GFAP
ICC
RT-PCR
Indirect
GNP–pMAG/pSS
3D composite scaffolds
mESC
2020
S. Zhang
[43]
Significant retardation in differentiation
Sox2
Oct4
Nanog
Gata6
Sox17
Mesp1
Brachyury T
Fgf5
Krt14
ICC
TEM
RT-PCR
FCM
Negative effect
Graphene
0D Quantum Dots
mESC
2021
T. Ku
[44]
Dopaminergic neurons
Th
ICC
Indirect
TDNss
3D composite
mESC
2021
M. Wei
[45]
Nurr1
Pitx3
RT-PCR
Not mentioned
Β3-Tubulin
ICC
Indirect
MNPst
0D nanoparticles
mESC
2022
A. T. Semeano
[46]
NESTIN
RT-PCR
Motor neurons
Olig2
ICC
Indirect
Layered double hydroxide
0D nanoparticles
mESC
2023
Y. Bai
[47]
Nkx6.1
Isl1
Β3-Tubulin
RT-PCR
HB9
FCM
aImmunocytochemistry
bConfocal microscope
cScanning electron microscope
dPoly (acrylic acid) grafted carbon nanotubes
eAtomic force microscopy
fPhase-contrast microscopy
gFlow cytometry
hMouse embryonic stem cells
iPoly (methacrylic acid)-grafted CNT
jReal-time polymerase chain reaction
kPoly (l-lactic acid)
lMultiwalled carbon nanotube-coated polyethylene
mXanthan/magnetite nanoparticles
nGold nanoparticles
oThe TH promoter-engineered GFP reporter ESCs were constructed by introducing a TH promoter-derived GFP gene into mESCs
pMagnetic iron oxide nanoparticles
qCarbon nanofibers
rGold nanoparticles (AuNPs), poly(2-methacrylamido glucopyranose-co-3-sulfopropyl acrylate) (PMS), and basic fibroblast growth factor (FGF2)
sTetrahedral DNA nanostructures
tMagnetic nanoparticles

Quality of studies

Three authors evaluated the studies and qualitatively reported their findings based on the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) Statement.

Data analysis

We used the content analysis method to analyze the data qualitatively. Content analysis is an objective and rule-guided method used to make replicable and valid inferences and analyze the characteristics of visual, verbal, and written documents.

Results

The initial search identified 1507 references in PubMed (105 refs), Scopus (1201 refs), Embase (92 refs), and Web of Science (99 refs). 251 duplicate references were automatically found, and 101 ones were manually found. Two hundred and sixteen duplicates were excluded. 1165 studies were evaluated based on their titles and abstracts, and 38 were selected for reading their full texts. After a full-text review, 29 articles were identified as eligible for data extraction and analysis based on the systematic review. The data of every selected study are shown in Table 1. Articles written in languages other than English were excluded. Nine studies used 0D nanomaterials, ten used 1D nanomaterials, two reported 2D nanomaterials, and eight demonstrated the application of 3D nanomaterials. The main biomaterial in studies was polymer-based composites. Three studies reported the adverse effects of nanomaterials on neural differentiation. Studies showed that most nanomaterials could greatly help embryonic stem cell neural differentiation directly and indirectly. Study methods were most economical and could be repeated even in laboratories of developing countries. The result of this review can help scientists all over the world develop their regenerative medicine centers and eventually help patients.

Discussion

The stochastic differentiation of ESCs has frequently threatened their therapeutic characteristics, limiting the alternatives for nerve tissue engineering [48]. Different approaches have been developed to produce neuronal differentiation from ESCs. One of the most popular techniques is the − 4/ + 4 retinoic acid (RA) approach entailing the development of an embryoid body (EB) for 4 days to activate cells in a state of differentiation, followed by an additional 4 days of RA treatment to induce neural growth [4951]. ESCs have the capacity to spontaneously give rise to cells from the ectoderm, mesoderm, and endoderm lineages. The microarchitecture of a cell matrix is crucial in regulating the overall development and differentiation pattern of hESCs when biofactors in the media are constant. There is an increasing realization that, in addition to biochemical agents, physical cues provided by scaffolds can direct stem cell differentiation [19, 26]. Cell signaling is the critical molecular pathway that controls cell differentiation and fate determination.
Furthermore, stem cells are regulated by their microenvironment, referred to as a niche. In the niche of stem cells, a combination of physical and chemical signals impact and guide them to retain or select their fate. The balance between external environmental signals and internal cellular components is critical for cell fate regulation. Internal signals stimulated by ECM–cell interactions, cell–cell interactions, and soluble substances change gene expression and cellular activities [52]. The ECM is a three-dimensional biological scaffold composed of a complex composition of proteins and glycoproteins released by resident cells. The specific compositions-dependent response, which is critical for cell fate determination via cell–matrix interactions, is aided by a heterogeneous structure [53, 54]. Nanomaterials mimic these processes to influence neuronal functions like differentiation, proliferation, and electrical characteristics. Nanomaterials have been found to stimulate the signaling pathways and transcription factors involved in neurodevelopment [55]. The Rho kinase pathway is activated by the 2D surface, which leads to cell cycle entrance and following accumulation. 3D surroundings, on the other hand, stimulate the Rac kinase pathway, promoting activities related to morphogenesis and migration [56]. Some nanoparticles can more easily cross cell membranes, which makes them highly desirable because these substances are biocompatible and mechanically stable to enable stem cell proliferation and differentiation [29]. Endocytosis which can be divided into different categories depending on the type of cells and the biomolecules involved in endocytosis is the primary mechanism by which nanoparticles enter cells (e.g., proteins, lipids, and other molecules) [44]. The ability of nanoparticles to stimulate or inhibit the generation of reactive oxygen species (ROS) significantly affects cells. Various developmental processes, including proliferation and differentiation in several illnesses, such as Parkinson’s, are significantly influenced by changes in ROS [32].
Nanomaterials are mostly used as scaffolding. One of the key requirements for a scaffold is that it must act as an anchor for stem cells to be retained close to the injury site rather than attracting and allowing cells to migrate to healthy regions. One of the key elements in controlling cell adhesion is protein absorption on substrates [18, 57]. Nano-scaffold acts as an anchor for stem cells, preventing them from migrating to healthy areas. Another criterion for the long-term effect of scaffolds on cell development is cell survival [18]. The other issue is the risk of tumorigenicity, particularly the formation of teratomas, following transplantation into patients [58]. The primary technique for overcoming this limitation and improving the clinical application of ESCs is to minimize tumorigenicity by controlling ESC differentiation to a specific cell lineage. As a result, Kumamaru et al. described a successful strategy for differentiating and maintaining ESC-derived spinal cord neural stem cells (NSCs) using WNT and FGF2/8 activation and dual suppression of SMAD signaling pathways or corticospinal regeneration [59].
In most of the studies, they used 1D nanomaterials (mostly nanofibers and nanotubes), and by putting them together, they made 3D nano-scaffolds. 3D nanomaterials as an artificial ECM have a high surface area-to-volume ratio. They provide an environment favorable to cellular processes in vivo, such as cell attachment, protein absorption, and subsequent differentiation, promoting cell–cell interactions.[33] Nanofibers are the most critical nanomaterials in stem cell differentiation. They are primarily polymeric or polymer grafted nanoparticles. The studies have shown that nanofiber orientation plays a critical role in differentiation. Nanofibers could support the neural lineage with two distinct orientations, although aligned PCL scaffolds more successfully encouraged the differentiation of neural precursors into adult MN and interneurons. Moreover, compared to the guidance provided by random nanofibers, it may support more dramatic contact-based nerve elongation [33]. Neurite field eccentricity, a reliable indicator of the behavior of individual neurites, can be calculated using the ability of aligned nanofiber surfaces to direct and align populations of expanding neurites. Additionally, neurites projecting from EBs cultured on aligned nanofiber samples had a maximum length of 500 mm, with a significant difference from those projecting from EBs cultured on random nanofibers. Therefore, aligned nanofiber samples may improve the rate and direction of neurite extension. Aligned nanofibers prepared by electrospinning could enhance the differentiation into neural lineages and direct neurite outgrowth [20]. L. E. Sperling et al. also reported creating PLGA electrospun fiber mats with two fiber topographies: randomized and aligned. These fibers demonstrated biocompatibility and exhibited minimal cytotoxicity when utilized as an extracellular matrix replacement for mESCs’ neural development. This study highlights the importance of electrospun fiber alignment in regulating cellular activity and mESC commitment to the neurogenic lineage [36]. In therapies for spinal cord injuries, aligned nanofiber substrates may prevent ESCs from differentiating into astrocytes, limiting the potential for glial scar development. Similar results were found with self-assembling laminin-derived peptide nanofibers, showing that the substrates might similarly reduce astrocytic differentiation [20, 60].
Many studies have suggested that transplantation of ESCs could also be used to treat peripheral nerve and spinal cord injuries. The study by Hayley J. Lam et al. showed that neurite extension could be directed and guided across considerable distances by aligned nanofibers. Therefore, a combination of ES cell therapy and nerve conduits made of aligned nanofibers may offer a more effective method for repairing peripheral nerves than simply injecting cells directly into the injury site, because the scaffolds can offer a more favorable environment for ES cell survival and trophic support. In addition to explaining how bFGF and EGF affect axon formation and neural differentiation, this study also showed how to immobilize active bFGF and EGF onto aligned nanofibers to support neural tissue regeneration [22].
Unidirectional patterns on surfaces cause stem cells to differentiate into a neural lineage. Recent studies have shown that the dimension of nanostructures also affects the development of neural stem cells [20, 6163]. Therefore, topological dimensions and alignments of these structures may be able to accurately regulate how stem cells differentiate into neurons. M. R. Lee et al. created nanoscale ridge/groove pattern arrays with precisely regulated dimensions and alignments using a UV-assisted capillary force lithography technique. Variation in the dimensions and alignment angles of these ridge/groove patterns was almost negligible. Their approach appears superior to aligned nanofiber approaches in controlling the dimension and alignment of nanoscale patterns [23].
CNTs are one of the popular nanomaterials in the differentiation of stem cells. A structureless and soft gelatin matrix results in the hESC differentiation to cells in all three lineages. In contrast, collagen or a collagen/CNT matrix characterized by one-dimensional fibril structures causes preferential development of hESCs to elongated cells with long filaments. It has been established that carboxylic acid (–COOH) groups are unfavorable cues for neuron differentiation. In agreement with this, T. I. Chao et al. found that the least amount of neuron differentiation and the least amount of cell attachment were produced by PAA surfaces. Instead, they discovered that thin film scaffolds made of the same substance and attached to CNTs exhibited a considerable improvement in neuron differentiation, even outperforming frequently used PLO substrates. The CNT-created nanoscale fiber shape can improve protein adsorption and cell adhesion according to surface analysis and cell adhesion research. This may contribute to the ability of PAA-g-CNT surfaces to aid in differentiating neurons from hESCs. This is crucial because the PAA-g-CNT-based scaffold might offer the transplanted stem cells a long-term shelter to live in and differentiate [18]. The reported discovery that high densities of mesenchymal stem cells increase dopaminergic neuron development supports this assertion [64]. Neuron development has been aided by electric stimulation, resulting in aligned neuron growth to bridge the damaged location rather than transplanted cells sprouting randomly and haphazardly. The conductivity of CNTs does not quickly decrease in severe settings like that of other materials such as conductive polymers, so nanocomposites, including PMAA-g-CNT, with the help of an electric field, can cause a direct differentiation [21]. The neuronal differentiation of mESC is supported and improved when the conductivity of CNT and the alignment of PLLA nanofibers are combined. In particular, differentiated mESC showed increased expression of mature neuronal markers, including Map-2 and NSE, even without direct electrical stimulation when grown on CNT/PLLA conductive composite scaffolds [26]. Directly isolating neuron cells from hESC monolayers, as opposed to using EB culture, which frequently results in heterogeneous differentiation, will result in cells with higher purity and less chance of creating cells at various developmental stages.
Furthermore, hESCs are considered to be “softer” and hence more vulnerable to external signals and more easily coerced into specific lineages than EBs, which are cells already in the differentiating process and covered in layers of ECM molecules [21, 65]. Johnen et al. [21] showed in a crucial work that the CNT surface impacted the gene profile and cell survival of retinal progenitors, suggesting the potential use of these surfaces for covering retinal implant electrodes. According to additional research by Y. Chemla et al. [41], these materials can be used to modify electrode surfaces or work as scaffolds for retinal stem cell implantation.
An attractive biomaterial for neuronal differentiation of hESCs is activated charcoal (AC). Using AC–ECM as a potential bio substrate or scaffold for hESC neuronal development was reported first by E. Y. T. Chen et al. Glial-supported hESCs showed superior neural development in one of the three AC–ECM matrices and AC collagen substrate studied. Their approach, specifically designed to differentiate neurons, avoids cytotoxicity and has the potential to be extended into 3D AC–collagen structures to improve cellular functionalization. This work shows the proof-of-concept application of AC material as a biomatrix for encouraging neuronal development from hESCs only in an in vitro experimental stage. In contrast to CNTs and graphene, AC is an ingestible detoxifying agent that has previously received clinical approval for use. Examining in vivo biocompatibility, biodegradability, tissue deposition, cellular infiltration, and functional host integration will necessitate lengthy animal investigations. Critically needed also is more evidence of the medical applications of AC–ECM substrates. As a result, AC might offer valuable advantages in scaffolds or transplanting devices for medicinal purposes. Their research presents an in vivo feasible natural carbon-based AC composite biomaterial which may support and considerably increase neural development, pointing to potential tissue engineering applications [25]. On the contrary, graphene quantum dots (GQD), another carbon-based nanomaterial, may have retarded development by interfering with the differentiation program of mESCs. It is essential to pay more attention to the adverse health effects of exposure to this nanomaterial during pregnancy or the early stages of development [44].
Some of these nanoparticles are used as carriers in neural differentiation. Mesoporous silica nanoparticles loaded with RA and PUR acted as effective in vitro delivery systems to mediate the differentiation of mouse ESCs into MN precursors. This improves the prospects for their use in in vivo transplantation settings for inducing differentiation of undifferentiated stem cells at the time of transplantation [29]. S. J. Park et al. also simplified the process and accelerated neural induction using mesoporous silica. Their redesigned cell conversion approach only required one RA/MSN complex treatment, which streamlined the procedure and sped up neural induction so that it could be completed in 6 days with good quality. With the help of their technique, neural cells with consistent expression of neurite marker genes were successfully generated from mESCs [35].
The nanoparticle size plays a critical role in their effectiveness. According to the Cao et al.’s study, C17.2 neural stem cells differentiated at 80% when grown with a mean diameter of 300 nm on electrospun nanofibrous PLLA. It was only 40% on micron-sized fibers and had a mean diameter of 1.5 lm [66]. M. C. Senut et al. studied size-dependent toxicity of gold nanoparticles on human embryonic stem cells and their neural derivatives. They observed loss of cohesion, rounding up, and detachment in hESC colonies exposed to 1.5 nm MSA-capped AuNPs, which might indicate ongoing cell death. Within 48 h of treatment, the hESCs exposed to 1.5 nm AuNPs failed to form EBs and quickly fragmented into single cells. Their findings indicated that while MEF feeder cells contained AuNPs, hESCs did not have a substantial amount of AuNPs, indicating that hESC uptake of nanoparticles might differ from that of other cell types. Their findings also indicated that 4 nm AuNPs caused a global decline in DNA methylation, which might help cells by lowering DNA methylation levels.
In conclusion, this study reveals a particular class of AuNPs highly hazardous to hESCs and shows how hESCs can be used to anticipate the neurotoxicity of nanoparticles. This research may eventually affect users of products containing nanoparticles, patients, and employees in the manufacturing industry [34]. However, on the other hand, M. Wei et al.’s study showed that gold nanoparticles could enhance the differentiation of embryonic stem cells into dopaminergic neurons. After 5 days of development by ESCs cocultured with PA6 cells, the effects of AuNPs diameters (5, 15, 30, and 60 nm) on the differentiation of ESCs into dopaminergic neurons (DA) were examined. Comparing the 30-nm-sized AuNPs to the control group, there was a substantial differentiation in boost. Furthermore, in the coculture with PA6 feeder condition, AuNPs did not exhibit any favorable effects on the differentiation of DA neurons in ESCs at 14 days. Previous studies have demonstrated that mouse embryonic fibroblasts are more likely to contain AuNPs than ESCs, leading researchers to hypothesize that the small concentrations of AuNPs in ESCs make it difficult to influence their differentiation. In contrast, a large concentration of AuNPs accumulated in PA6 feeder cells may interfere with the release of differentiation factors, thereby influencing the differentiation of ESCs into DA neurons. All of these findings indicated that during the differentiation of ESCs into DA neurons, adding the proper amount of AuNPs can effectively promote differentiation in feeder-free conditions. Activating the mTOR/p70S6K signaling pathway by AuNPs may result in the upregulation of TH expression, encouraging ESCs to differentiate toward DA neurons [37]. Through the covalent grafting of HS-mimicking polymers and FGF2 to the surface of gold nanoparticles, a novel nanoparticle nanocomposite (AuNP–PMS/FGF2) was proposed and created. The AuNP–PMS/FGF2 nanoparticle composite may significantly accelerate the differentiation of mESCs into nerve cells compared to other bioactive compounds. The AuNP–PMS/FGF2 nanoparticle composite demonstrates good binding ability with cell surface receptors and, consequently, high effectiveness in stimulating neuronal differentiation because AuNPs are involved [42]. S. Zhang et al. have also worked on the pathway by which AuNPs affect. They found that, in accordance with earlier research, GAG mimic-modified GNP could adhere and bind to the receptor on the cell membrane more effectively than the control group. This led to the activation of the downstream signaling pathway. More crucially, when attached to the cell membrane, the gold nanocomposite encouraged RA’s photothermal “conversion” into the cells. This might improve the use of embryonic stem cells in RA molecules, promoting neurogenic differentiation [43].
Magnetic nanoparticles have been regarded as one of the comprehensive biomaterials in biomedicine due to their benign biocompatibility, dimensional controllability, and high stability. They have also demonstrated significant promise in magnetic separation, targeted transportation, bio-imaging, cancer treatment, and regenerative medicine [6771]. Their sensitivity to magnetic fields also makes it possible to employ them to control the behavior of cells [68] remotely. Lee et al. discovered that, under some circumstances, the application of magnetic tweezer technology might stimulate axon growth, demonstrating the promise of magnetic nanoparticles in repairing nerve injuries [72]. Cho et al. discovered that magnetic nanoparticles treated with polyethylene glycol (PEG) might encourage hMSCs to differentiate into neurons when exposed to electromagnetic fields [73]. The human brain tissue contains magnetite and maghemite nanoparticles by nature. Iron is stored and released by the ferritin protein complex, which plays a role in its creation [74]. Tubulin, a forerunner of microtubules, undergoes structural modifications, which Dadras and colleagues have discovered in the presence of many magnetites [75]. Lower concentrations of magnetite are advantageous for brain cell activity; however, higher amounts can cause cell diseases (death and dysfunction). An electrical field is provided in XCA, a hydrogel with a high negative charge density, to allow for appropriate differentiation. When exposed to electrical stimuli, neurons growing on XCA/mag scaffolds perform better. It has been hypothesized that intrinsic electrons of magnetic particles, which are present in the local magnetic field, aid in ion translocation through the plasma membranes of axonal microtubes [31]. All results show that the combination of magnetic iron oxide nanoparticles and a magnetic field could efficiently promote the differentiation of embryonic stem cells into nerve cells [39]. However, research has revealed that magnetic nanoparticles are quickly endocytosed into cells, and high levels of endocytosis or aggregation will prevent cell differentiation and even strongly induce cell apoptosis [76].

Conclusion

Neural differentiation is significant in neurological regenerative medicine. The subject of neurological regenerative medicine is predicted to benefit from advances in stem cell research greatly. Clinical trials for various disorders, including age-related macular degeneration (AMD) and spinal cord injury (SCI), have already begun with mixed results. Nanomaterials with different characteristics, particularly those which regulate cellular activities and stem cell fate, have much potential in neural tissue engineering. Understanding the pathophysiological changes in diverse neurological illnesses and designing appropriate nanomaterials for successful modifications in stem cell behaviors could impact neural tissue engineering procedures. These findings indicate a new understanding of potential applications of physicochemical cues in brain tissue engineering.

Acknowledgements

The authors would like to thank the Kurdistan University of Medical Sciences and the Student Research Committee of the Kurdistan University of Medical Sciences.

Declarations

The Ethics Committee of Kurdistan University of Medical Sciences reviewed and approved this study under the case number (IR.MUK.REC.1400.297). The relevant guidelines and regulations were followed while performing all methods.

Competing interests

The authors declare that they have no competing interests.
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://​creativecommons.​org/​licenses/​by/​4.​0/​. The Creative Commons Public Domain Dedication waiver (http://​creativecommons.​org/​publicdomain/​zero/​1.​0/​) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Literatur
1.
Zurück zum Zitat Kandel ER, Mack S, Jessell TM, Schwartz JH, Siegelbaum SA, Hudspeth AJ. Principles of Neural Science. 5th ed. New York: McGraw-Hill Education; 2013. Kandel ER, Mack S, Jessell TM, Schwartz JH, Siegelbaum SA, Hudspeth AJ. Principles of Neural Science. 5th ed. New York: McGraw-Hill Education; 2013.
2.
Zurück zum Zitat Kandel ER. Nerve cells and behavior. Princ Neural Sci. 1991;3:18–32. Kandel ER. Nerve cells and behavior. Princ Neural Sci. 1991;3:18–32.
3.
Zurück zum Zitat Azevedo FA, Carvalho LR, Grinberg LT, Farfel JM, Ferretti RE, Leite RE, et al. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol. 2009;513(5):532–41.PubMedCrossRef Azevedo FA, Carvalho LR, Grinberg LT, Farfel JM, Ferretti RE, Leite RE, et al. Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain. J Comp Neurol. 2009;513(5):532–41.PubMedCrossRef
4.
5.
Zurück zum Zitat Herculano-Houzel S, Catania K, Manger PR, Kaas JH. Mammalian brains are made of these: a dataset of the numbers and densities of neuronal and nonneuronal cells in the brain of glires, primates, scandentia, eulipotyphlans, afrotherians and artiodactyls, and their relationship with body mass. Brain Behav Evol. 2015;86(3–4):145–63.PubMedCrossRef Herculano-Houzel S, Catania K, Manger PR, Kaas JH. Mammalian brains are made of these: a dataset of the numbers and densities of neuronal and nonneuronal cells in the brain of glires, primates, scandentia, eulipotyphlans, afrotherians and artiodactyls, and their relationship with body mass. Brain Behav Evol. 2015;86(3–4):145–63.PubMedCrossRef
6.
Zurück zum Zitat Steward MM, Sridhar A, Meyer JS. Neural regeneration. New Perspect Regen. 2012;367:163–91.CrossRef Steward MM, Sridhar A, Meyer JS. Neural regeneration. New Perspect Regen. 2012;367:163–91.CrossRef
7.
Zurück zum Zitat Case LC, Tessier-Lavigne M. Regeneration of the adult central nervous system. Curr Biol. 2005;15(18):R749–53.PubMedCrossRef Case LC, Tessier-Lavigne M. Regeneration of the adult central nervous system. Curr Biol. 2005;15(18):R749–53.PubMedCrossRef
8.
Zurück zum Zitat Zhang S-C, Wernig M, Duncan ID, Brüstle O, Thomson JA. In vitro differentiation of transplantable neural precursors from human embryonic stem cells. Nat Biotechnol. 2001;19(12):1129–33.PubMedCrossRef Zhang S-C, Wernig M, Duncan ID, Brüstle O, Thomson JA. In vitro differentiation of transplantable neural precursors from human embryonic stem cells. Nat Biotechnol. 2001;19(12):1129–33.PubMedCrossRef
9.
Zurück zum Zitat Reubinoff BE, Itsykson P, Turetsky T, Pera MF, Reinhartz E, Itzik A, et al. Neural progenitors from human embryonic stem cells. Nat Biotechnol. 2001;19(12):1134–40.PubMedCrossRef Reubinoff BE, Itsykson P, Turetsky T, Pera MF, Reinhartz E, Itzik A, et al. Neural progenitors from human embryonic stem cells. Nat Biotechnol. 2001;19(12):1134–40.PubMedCrossRef
10.
Zurück zum Zitat Cui L, Jiang J, Wei L, Zhou X, Fraser JL, Snider BJ, et al. Transplantation of embryonic stem cells improves nerve repair and functional recovery after severe sciatic nerve axotomy in rats. Stem cells. 2008;26(5):1356–65.PubMedCrossRef Cui L, Jiang J, Wei L, Zhou X, Fraser JL, Snider BJ, et al. Transplantation of embryonic stem cells improves nerve repair and functional recovery after severe sciatic nerve axotomy in rats. Stem cells. 2008;26(5):1356–65.PubMedCrossRef
11.
Zurück zum Zitat Wei M, Li S, Le W. Nanomaterials modulate stem cell differentiation: biological interaction and underlying mechanisms. J Nanobiotechnol. 2017;15(1):1–13.CrossRef Wei M, Li S, Le W. Nanomaterials modulate stem cell differentiation: biological interaction and underlying mechanisms. J Nanobiotechnol. 2017;15(1):1–13.CrossRef
12.
Zurück zum Zitat Higuchi A, Ling Q-D, Chang Y, Hsu S-T, Umezawa A. Physical cues of biomaterials guide stem cell differentiation fate. Chem Rev. 2013;113(5):3297–328.PubMedCrossRef Higuchi A, Ling Q-D, Chang Y, Hsu S-T, Umezawa A. Physical cues of biomaterials guide stem cell differentiation fate. Chem Rev. 2013;113(5):3297–328.PubMedCrossRef
14.
Zurück zum Zitat Darehbagh RR, Ramezani R, Hosseinpanahi A, Fotoohi A, Rouhi S. Nanocluster structure of pistacia atlantica subsp Kurdica turpentine and its antibacterial effects. Anti-Infect Agents. 2021;19(1):76–84.CrossRef Darehbagh RR, Ramezani R, Hosseinpanahi A, Fotoohi A, Rouhi S. Nanocluster structure of pistacia atlantica subsp Kurdica turpentine and its antibacterial effects. Anti-Infect Agents. 2021;19(1):76–84.CrossRef
15.
Zurück zum Zitat Watson GS, Gellender M, Watson JA. Self-propulsion of dew drops on lotus leaves: a potential mechanism for self cleaning. Biofouling. 2014;30(4):427–34.PubMedCrossRef Watson GS, Gellender M, Watson JA. Self-propulsion of dew drops on lotus leaves: a potential mechanism for self cleaning. Biofouling. 2014;30(4):427–34.PubMedCrossRef
16.
Zurück zum Zitat Ilie I, Ilie R, Mocan T, Bartos D, Mocan L. Influence of nanomaterials on stem cell differentiation: designing an appropriate nanobiointerface. Int J Nanomed. 2012;7:2211. Ilie I, Ilie R, Mocan T, Bartos D, Mocan L. Influence of nanomaterials on stem cell differentiation: designing an appropriate nanobiointerface. Int J Nanomed. 2012;7:2211.
17.
18.
Zurück zum Zitat Chao TI, Xiang S, Chen CS, Chin WC, Nelson AJ, Wang C, et al. Carbon nanotubes promote neuron differentiation from human embryonic stem cells. Biochem Biophys Res Commun. 2009;384(4):426–30.PubMedCrossRef Chao TI, Xiang S, Chen CS, Chin WC, Nelson AJ, Wang C, et al. Carbon nanotubes promote neuron differentiation from human embryonic stem cells. Biochem Biophys Res Commun. 2009;384(4):426–30.PubMedCrossRef
19.
20.
Zurück zum Zitat Xie J, Willerth SM, Li X, Macewan MR, Rader A, Sakiyama-Elbert SE, et al. The differentiation of embryonic stem cells seeded on electrospun nanofibers into neural lineages. Biomaterials. 2009;30(3):354–62.PubMedCrossRef Xie J, Willerth SM, Li X, Macewan MR, Rader A, Sakiyama-Elbert SE, et al. The differentiation of embryonic stem cells seeded on electrospun nanofibers into neural lineages. Biomaterials. 2009;30(3):354–62.PubMedCrossRef
21.
Zurück zum Zitat Chao TI, Xiang S, Lipstate JF, Wang C, Lu J. Poly(methacrylic acid)-grafted carbon nanotube scaffolds enhance differentiation of hESCs into neuronal cells. Adv Mater. 2010;22(32):3542–7.PubMedCrossRef Chao TI, Xiang S, Lipstate JF, Wang C, Lu J. Poly(methacrylic acid)-grafted carbon nanotube scaffolds enhance differentiation of hESCs into neuronal cells. Adv Mater. 2010;22(32):3542–7.PubMedCrossRef
22.
Zurück zum Zitat Lam HJ, Patel S, Wang A, Chu J, Li S. In vitro regulation of neural differentiation and axon growth by growth factors and bioactive nanofibers. Tissue Eng A. 2010;16(8):2641–8.CrossRef Lam HJ, Patel S, Wang A, Chu J, Li S. In vitro regulation of neural differentiation and axon growth by growth factors and bioactive nanofibers. Tissue Eng A. 2010;16(8):2641–8.CrossRef
23.
Zurück zum Zitat Lee MR, Kwon KW, Jung H, Kim HN, Suh KY, Kim K, et al. Direct differentiation of human embryonic stem cells into selective neurons on nanoscale ridge/groove pattern arrays. Biomaterials. 2010;31(15):4360–6.PubMedCrossRef Lee MR, Kwon KW, Jung H, Kim HN, Suh KY, Kim K, et al. Direct differentiation of human embryonic stem cells into selective neurons on nanoscale ridge/groove pattern arrays. Biomaterials. 2010;31(15):4360–6.PubMedCrossRef
24.
Zurück zum Zitat Chen CS, Soni S, Le C, Biasca M, Farr E, Chen EYT, et al. Human stem cell neuronal differentiation on silk-carbon nanotube composite. Nanoscale Res Lett. 2012;7(1):126.PubMedPubMedCentralCrossRef Chen CS, Soni S, Le C, Biasca M, Farr E, Chen EYT, et al. Human stem cell neuronal differentiation on silk-carbon nanotube composite. Nanoscale Res Lett. 2012;7(1):126.PubMedPubMedCentralCrossRef
25.
Zurück zum Zitat Chen EYT, Wang YC, Mintz A, Richards A, Chen CS, Lu D, et al. Activated charcoal composite biomaterial promotes human embryonic stem cell differentiation toward neuronal lineage. J Biomed Mater Res A. 2012;100(8):2006–17.CrossRef Chen EYT, Wang YC, Mintz A, Richards A, Chen CS, Lu D, et al. Activated charcoal composite biomaterial promotes human embryonic stem cell differentiation toward neuronal lineage. J Biomed Mater Res A. 2012;100(8):2006–17.CrossRef
26.
Zurück zum Zitat Kabiri M, Soleimani M, Shabani I, Futrega K, Ghaemi N, Ahvaz HH, et al. Neural differentiation of mouse embryonic stem cells on conductive nanofiber scaffolds. Biotech Lett. 2012;34(7):1357–65.CrossRef Kabiri M, Soleimani M, Shabani I, Futrega K, Ghaemi N, Ahvaz HH, et al. Neural differentiation of mouse embryonic stem cells on conductive nanofiber scaffolds. Biotech Lett. 2012;34(7):1357–65.CrossRef
27.
Zurück zum Zitat Smith Callahan LA, Xie S, Barker IA, Zheng J, Reneker DH, Dove AP, et al. Directed differentiation and neurite extension of mouse embryonic stem cell on aligned poly(lactide) nanofibers functionalized with YIGSR peptide. Biomaterials. 2013;34(36):9089–95.CrossRef Smith Callahan LA, Xie S, Barker IA, Zheng J, Reneker DH, Dove AP, et al. Directed differentiation and neurite extension of mouse embryonic stem cell on aligned poly(lactide) nanofibers functionalized with YIGSR peptide. Biomaterials. 2013;34(36):9089–95.CrossRef
28.
Zurück zum Zitat Zang R, Yang ST. Multiwalled carbon nanotube-coated polyethylene terephthalate fibrous matrices for enhanced neuronal differentiation of mouse embryonic stem cells. J Mater Chem B. 2013;1(5):646–53.PubMedCrossRef Zang R, Yang ST. Multiwalled carbon nanotube-coated polyethylene terephthalate fibrous matrices for enhanced neuronal differentiation of mouse embryonic stem cells. J Mater Chem B. 2013;1(5):646–53.PubMedCrossRef
29.
Zurück zum Zitat Garcia-Bennett AE, König N, Abrahamsson N, Kozhevnikova M, Zhou C, Trolle C, et al. In vitro generation of motor neuron precursors from mouse embryonic stem cells using mesoporous nanoparticles. Nanomedicine. 2014;9(16):2457–66.PubMedCrossRef Garcia-Bennett AE, König N, Abrahamsson N, Kozhevnikova M, Zhou C, Trolle C, et al. In vitro generation of motor neuron precursors from mouse embryonic stem cells using mesoporous nanoparticles. Nanomedicine. 2014;9(16):2457–66.PubMedCrossRef
30.
Zurück zum Zitat Yang DH, Li T, Xu MH, Gao F, Yang J, Yang Z, et al. Graphene oxide promotes the differentiation of mouse embryonic stem cells to dopamine neurons. Nanomedicine. 2014;9(16):2445–55.PubMedCrossRef Yang DH, Li T, Xu MH, Gao F, Yang J, Yang Z, et al. Graphene oxide promotes the differentiation of mouse embryonic stem cells to dopamine neurons. Nanomedicine. 2014;9(16):2445–55.PubMedCrossRef
31.
Zurück zum Zitat Glaser T, Bueno VB, Cornejo DR, Petri DFS, Ulrich H. Neuronal adhesion, proliferation and differentiation of embryonic stem cells on hybrid scaffolds made of xanthan and magnetite nanoparticles. Biomed Mater. 2015;10(4):045002.PubMedCrossRef Glaser T, Bueno VB, Cornejo DR, Petri DFS, Ulrich H. Neuronal adhesion, proliferation and differentiation of embryonic stem cells on hybrid scaffolds made of xanthan and magnetite nanoparticles. Biomed Mater. 2015;10(4):045002.PubMedCrossRef
32.
Zurück zum Zitat Rostami AA, Mohseni Kouchesfahani H, Kiani S, Fakheri R. Iron oxide nanoparticles reduced retinoic acid induced- neuronal differentiation of mouse embryonic stem cells by ROS generation. Arch Iran Med. 2015;18(9):586–90.PubMed Rostami AA, Mohseni Kouchesfahani H, Kiani S, Fakheri R. Iron oxide nanoparticles reduced retinoic acid induced- neuronal differentiation of mouse embryonic stem cells by ROS generation. Arch Iran Med. 2015;18(9):586–90.PubMed
33.
Zurück zum Zitat Abbasi N, Hashemi SM, Salehi M, Jahani H, Mowla SJ, Soleimani M, et al. Influence of oriented nanofibrous PCL scaffolds on quantitative gene expression during neural differentiation of mouse embryonic stem cells. J Biomed Mater Res A. 2016;104(1):155–64.PubMedCrossRef Abbasi N, Hashemi SM, Salehi M, Jahani H, Mowla SJ, Soleimani M, et al. Influence of oriented nanofibrous PCL scaffolds on quantitative gene expression during neural differentiation of mouse embryonic stem cells. J Biomed Mater Res A. 2016;104(1):155–64.PubMedCrossRef
34.
Zurück zum Zitat Senut MC, Zhang Y, Liu F, Sen A, Ruden DM, Mao G. Size-dependent toxicity of gold nanoparticles on human embryonic stem cells and their neural derivatives. Small. 2016;12(5):631–46.PubMedCrossRef Senut MC, Zhang Y, Liu F, Sen A, Ruden DM, Mao G. Size-dependent toxicity of gold nanoparticles on human embryonic stem cells and their neural derivatives. Small. 2016;12(5):631–46.PubMedCrossRef
35.
Zurück zum Zitat Park SJ, Kim S, Kim SY, Jeon NL, Song JM, Won C, et al. Highly efficient and rapid neural differentiation of mouse embryonic stem cells based on retinoic acid encapsulated porous nanoparticle. ACS Appl Mater Interfaces. 2017;9(40):34634–40.PubMedCrossRef Park SJ, Kim S, Kim SY, Jeon NL, Song JM, Won C, et al. Highly efficient and rapid neural differentiation of mouse embryonic stem cells based on retinoic acid encapsulated porous nanoparticle. ACS Appl Mater Interfaces. 2017;9(40):34634–40.PubMedCrossRef
36.
Zurück zum Zitat Sperling LE, Reis KP, Pozzobon LG, Girardi CS, Pranke P. Influence of random and oriented electrospun fibrous poly(lactic-co-glycolic acid) scaffolds on neural differentiation of mouse embryonic stem cells. J Biomed Mater Res A. 2017;105(5):1333–45.PubMedCrossRef Sperling LE, Reis KP, Pozzobon LG, Girardi CS, Pranke P. Influence of random and oriented electrospun fibrous poly(lactic-co-glycolic acid) scaffolds on neural differentiation of mouse embryonic stem cells. J Biomed Mater Res A. 2017;105(5):1333–45.PubMedCrossRef
37.
Zurück zum Zitat Wei M, Li S, Yang Z, Zheng W, Le W. Gold nanoparticles enhance the differentiation of embryonic stem cells into dopaminergic neurons via mTOR/p70S6K pathway. Nanomedicine. 2017;12(11):1305–17.PubMedCrossRef Wei M, Li S, Yang Z, Zheng W, Le W. Gold nanoparticles enhance the differentiation of embryonic stem cells into dopaminergic neurons via mTOR/p70S6K pathway. Nanomedicine. 2017;12(11):1305–17.PubMedCrossRef
38.
Zurück zum Zitat Silantyeva EA, Nasir W, Carpenter J, Manahan O, Becker ML, Willits RK. Accelerated neural differentiation of mouse embryonic stem cells on aligned GYIGSR-functionalized nanofibers. Acta Biomater. 2018;75:129–39.PubMedPubMedCentralCrossRef Silantyeva EA, Nasir W, Carpenter J, Manahan O, Becker ML, Willits RK. Accelerated neural differentiation of mouse embryonic stem cells on aligned GYIGSR-functionalized nanofibers. Acta Biomater. 2018;75:129–39.PubMedPubMedCentralCrossRef
39.
Zurück zum Zitat Dai R, Hang Y, Liu Q, Zhang S, Wang L, Pan Y, et al. Improved neural differentiation of stem cells mediated by magnetic nanoparticle-based biophysical stimulation. J Mater Chem B. 2019;7(26):4161–8.CrossRef Dai R, Hang Y, Liu Q, Zhang S, Wang L, Pan Y, et al. Improved neural differentiation of stem cells mediated by magnetic nanoparticle-based biophysical stimulation. J Mater Chem B. 2019;7(26):4161–8.CrossRef
40.
Zurück zum Zitat Zhang S, Wang L, Chen H. Glycosaminoglycans-mimicking polymers conjugated gold nanoparticles for promoting neural differentiation of embryonic stem cells. Seattle: Annual International Biomaterials Symposium; 2019. Zhang S, Wang L, Chen H. Glycosaminoglycans-mimicking polymers conjugated gold nanoparticles for promoting neural differentiation of embryonic stem cells. Seattle: Annual International Biomaterials Symposium; 2019.
41.
Zurück zum Zitat Chemla Y, Avraham ES, Markus A, Teblum E, Slotky A, Kostikov Y, et al. Carbon nanostructures as a scaffold for human embryonic stem cell differentiation toward photoreceptor precursors. Nanoscale. 2020;12(36):18918–30.PubMedCrossRef Chemla Y, Avraham ES, Markus A, Teblum E, Slotky A, Kostikov Y, et al. Carbon nanostructures as a scaffold for human embryonic stem cell differentiation toward photoreceptor precursors. Nanoscale. 2020;12(36):18918–30.PubMedCrossRef
42.
Zurück zum Zitat Yu F, Cheng S, Lei J, Hang Y, Liu Q, Wang H, et al. Heparin mimics and fibroblast growth factor-2 fabricated nanogold composite in promoting neural differentiation of mouse embryonic stem cells. J Biomater Sci Polym Ed. 2020;31(13):1623–47.PubMedCrossRef Yu F, Cheng S, Lei J, Hang Y, Liu Q, Wang H, et al. Heparin mimics and fibroblast growth factor-2 fabricated nanogold composite in promoting neural differentiation of mouse embryonic stem cells. J Biomater Sci Polym Ed. 2020;31(13):1623–47.PubMedCrossRef
43.
Zurück zum Zitat Zhang S, Hang Y, Wu J, Tang Z, Li X, Zhang S, et al. Dual pathway for promotion of stem cell neural differentiation mediated by gold Nanocomposites. ACS Appl Mater Interfaces. 2020;12(19):22066–73.PubMedCrossRef Zhang S, Hang Y, Wu J, Tang Z, Li X, Zhang S, et al. Dual pathway for promotion of stem cell neural differentiation mediated by gold Nanocomposites. ACS Appl Mater Interfaces. 2020;12(19):22066–73.PubMedCrossRef
44.
Zurück zum Zitat Ku T, Hao F, Yang X, Rao Z, Liu QS, Sang N, et al. Graphene quantum dots disrupt embryonic stem cell differentiation by interfering with the methylation level of Sox2. Environ Sci Technol. 2021;55(5):3144–55.PubMedCrossRef Ku T, Hao F, Yang X, Rao Z, Liu QS, Sang N, et al. Graphene quantum dots disrupt embryonic stem cell differentiation by interfering with the methylation level of Sox2. Environ Sci Technol. 2021;55(5):3144–55.PubMedCrossRef
45.
Zurück zum Zitat Wei M, Li S, Yang Z, Cheng C, Li T, Le W. Tetrahedral DNA nanostructures functionalized by multivalent microRNA132 antisense oligonucleotides promote the differentiation of mouse embryonic stem cells into dopaminergic neurons. Nanomed Nanotechnol Biol Med. 2021;34:102375.CrossRef Wei M, Li S, Yang Z, Cheng C, Li T, Le W. Tetrahedral DNA nanostructures functionalized by multivalent microRNA132 antisense oligonucleotides promote the differentiation of mouse embryonic stem cells into dopaminergic neurons. Nanomed Nanotechnol Biol Med. 2021;34:102375.CrossRef
46.
Zurück zum Zitat Semeano AT, Tofoli FA, Corrêa-Velloso JC, de Jesus Santos AP, Oliveira-Giacomelli Á, Cardoso RR, et al. Effects of magnetite nanoparticles and static magnetic field on neural differentiation of pluripotent stem cells. Stem Cell Rev Rep. 2022;18(4):1337–54.PubMedCrossRef Semeano AT, Tofoli FA, Corrêa-Velloso JC, de Jesus Santos AP, Oliveira-Giacomelli Á, Cardoso RR, et al. Effects of magnetite nanoparticles and static magnetic field on neural differentiation of pluripotent stem cells. Stem Cell Rev Rep. 2022;18(4):1337–54.PubMedCrossRef
47.
Zurück zum Zitat Bai Y, Wang Z, Yu L, Dong K, Cheng L, Zhu R. The enhanced generation of motor neurons from mESCs by MgAl layered double hydroxide nanoparticles. Biomed Mater. 2023;18(3): 034101.CrossRef Bai Y, Wang Z, Yu L, Dong K, Cheng L, Zhu R. The enhanced generation of motor neurons from mESCs by MgAl layered double hydroxide nanoparticles. Biomed Mater. 2023;18(3): 034101.CrossRef
49.
Zurück zum Zitat Strübing C, Ahnert-Hilger G, Shan J, Wiedenmann B, Hescheler J, Wobus AM. Differentiation of pluripotent embryonic stem cells into the neuronal lineage in vitro gives rise to mature inhibitory and excitatory neurons. Mech Dev. 1995;53(2):275–87.PubMedCrossRef Strübing C, Ahnert-Hilger G, Shan J, Wiedenmann B, Hescheler J, Wobus AM. Differentiation of pluripotent embryonic stem cells into the neuronal lineage in vitro gives rise to mature inhibitory and excitatory neurons. Mech Dev. 1995;53(2):275–87.PubMedCrossRef
50.
Zurück zum Zitat Bain G, Kitchens D, Yao M, Huettner JE, Gottlieb DI. Embryonic stem cells express neuronal properties in vitro. Dev Biol. 1995;168(2):342–57.PubMedCrossRef Bain G, Kitchens D, Yao M, Huettner JE, Gottlieb DI. Embryonic stem cells express neuronal properties in vitro. Dev Biol. 1995;168(2):342–57.PubMedCrossRef
51.
Zurück zum Zitat Fraichard A, Chassande O, Bilbaut G, Dehay C, Savatier P, Samarut J. In vitro differentiation of embryonic stem cells into glial cells and functional neurons. J Cell Sci. 1995;108(10):3181–8.PubMedCrossRef Fraichard A, Chassande O, Bilbaut G, Dehay C, Savatier P, Samarut J. In vitro differentiation of embryonic stem cells into glial cells and functional neurons. J Cell Sci. 1995;108(10):3181–8.PubMedCrossRef
52.
Zurück zum Zitat Mashinchian O, Turner L-A, Dalby MJ, Laurent S, Shokrgozar MA, Bonakdar S, et al. Regulation of stem cell fate by nanomaterial substrates. Nanomedicine. 2015;10(5):829–47.PubMedCrossRef Mashinchian O, Turner L-A, Dalby MJ, Laurent S, Shokrgozar MA, Bonakdar S, et al. Regulation of stem cell fate by nanomaterial substrates. Nanomedicine. 2015;10(5):829–47.PubMedCrossRef
53.
Zurück zum Zitat Chen SS, Fitzgerald W, Zimmerberg J, Kleinman HK, Margolis L. Cell-cell and cell-extracellular matrix interactions regulate embryonic stem cell differentiation. Stem cells. 2007;25(3):553–61.PubMedCrossRef Chen SS, Fitzgerald W, Zimmerberg J, Kleinman HK, Margolis L. Cell-cell and cell-extracellular matrix interactions regulate embryonic stem cell differentiation. Stem cells. 2007;25(3):553–61.PubMedCrossRef
54.
Zurück zum Zitat Wojcik-Stanaszek L, Gregor A, Zalewska T. Regulation of neurogenesis by extracellular matrix and integrins. Acta Neurobiol Exp. 2011;71(1):103–12.CrossRef Wojcik-Stanaszek L, Gregor A, Zalewska T. Regulation of neurogenesis by extracellular matrix and integrins. Acta Neurobiol Exp. 2011;71(1):103–12.CrossRef
55.
Zurück zum Zitat Arzaghi H, Adel B, Jafari H, Askarian-Amiri S, Dezfuli AS, Akbarzadeh A, et al. Nanomaterial integration into the scaffolding materials for nerve tissue engineering: a review. Rev Neurosci. 2020;31(8):843–72.CrossRef Arzaghi H, Adel B, Jafari H, Askarian-Amiri S, Dezfuli AS, Akbarzadeh A, et al. Nanomaterial integration into the scaffolding materials for nerve tissue engineering: a review. Rev Neurosci. 2020;31(8):843–72.CrossRef
56.
Zurück zum Zitat Abbasi N, Hashemi SM, Salehi M, Jahani H, Mowla SJ, Soleimani M, et al. Influence of oriented nanofibrous PCL scaffolds on quantitative gene expression during neural differentiation of mouse embryonic stem cells. J Biomed Mater Res Part A. 2016;104(1):155–64.CrossRef Abbasi N, Hashemi SM, Salehi M, Jahani H, Mowla SJ, Soleimani M, et al. Influence of oriented nanofibrous PCL scaffolds on quantitative gene expression during neural differentiation of mouse embryonic stem cells. J Biomed Mater Res Part A. 2016;104(1):155–64.CrossRef
57.
Zurück zum Zitat Dekeyser C, Zuyderhoff E, Giuliano R, Federoff H, Dupont-Gillain CC, Rouxhet P. A rough morphology of the adsorbed fibronectin layer favors adhesion of neuronal cells. J Biomed Mater Res A. 2008;87(1):116–28.PubMedCrossRef Dekeyser C, Zuyderhoff E, Giuliano R, Federoff H, Dupont-Gillain CC, Rouxhet P. A rough morphology of the adsorbed fibronectin layer favors adhesion of neuronal cells. J Biomed Mater Res A. 2008;87(1):116–28.PubMedCrossRef
58.
Zurück zum Zitat Hentze H, Soong PL, Wang ST, Phillips BW, Putti TC, Dunn NR. Teratoma formation by human embryonic stem cells: evaluation of essential parameters for future safety studies. Stem cell research. 2009;2(3):198–210.PubMedCrossRef Hentze H, Soong PL, Wang ST, Phillips BW, Putti TC, Dunn NR. Teratoma formation by human embryonic stem cells: evaluation of essential parameters for future safety studies. Stem cell research. 2009;2(3):198–210.PubMedCrossRef
59.
Zurück zum Zitat Kumamaru H, Kadoya K, Adler AF, Takashima Y, Graham L, Coppola G, et al. Generation and post-injury integration of human spinal cord neural stem cells. Nat Methods. 2018;15(9):723–31.PubMedCrossRef Kumamaru H, Kadoya K, Adler AF, Takashima Y, Graham L, Coppola G, et al. Generation and post-injury integration of human spinal cord neural stem cells. Nat Methods. 2018;15(9):723–31.PubMedCrossRef
60.
Zurück zum Zitat Silva GA, Czeisler C, Niece KL, Beniash E, Harrington DA, Kessler JA, et al. Selective differentiation of neural progenitor cells by high-epitope density nanofibers. Science. 2004;303(5662):1352–5.PubMedCrossRef Silva GA, Czeisler C, Niece KL, Beniash E, Harrington DA, Kessler JA, et al. Selective differentiation of neural progenitor cells by high-epitope density nanofibers. Science. 2004;303(5662):1352–5.PubMedCrossRef
61.
Zurück zum Zitat Yim EK, Pang SW, Leong KW. Synthetic nanostructures inducing differentiation of human mesenchymal stem cells into neuronal lineage. Exp Cell Res. 2007;313(9):1820–9.PubMedPubMedCentralCrossRef Yim EK, Pang SW, Leong KW. Synthetic nanostructures inducing differentiation of human mesenchymal stem cells into neuronal lineage. Exp Cell Res. 2007;313(9):1820–9.PubMedPubMedCentralCrossRef
62.
Zurück zum Zitat Kim S-J, Lee JK, Kim JW, Jung J-W, Seo K, Park S-B, et al. Surface modification of polydimethylsiloxane (PDMS) induced proliferation and neural-like cells differentiation of umbilical cord blood-derived mesenchymal stem cells. J Mater Sci Mater Med. 2008;19(8):2953–62.PubMedCrossRef Kim S-J, Lee JK, Kim JW, Jung J-W, Seo K, Park S-B, et al. Surface modification of polydimethylsiloxane (PDMS) induced proliferation and neural-like cells differentiation of umbilical cord blood-derived mesenchymal stem cells. J Mater Sci Mater Med. 2008;19(8):2953–62.PubMedCrossRef
63.
Zurück zum Zitat Christopherson GT, Song H, Mao H-Q. The influence of fiber diameter of electrospun substrates on neural stem cell differentiation and proliferation. Biomaterials. 2009;30(4):556–64.PubMedCrossRef Christopherson GT, Song H, Mao H-Q. The influence of fiber diameter of electrospun substrates on neural stem cell differentiation and proliferation. Biomaterials. 2009;30(4):556–64.PubMedCrossRef
64.
Zurück zum Zitat Ko J-Y, Lee J-Y, Park C-H, Lee S-H. Effect of cell-density on in-vitro dopaminergic differentiation of mesencephalic precursor cells. NeuroReport. 2005;16(5):499–503.PubMedCrossRef Ko J-Y, Lee J-Y, Park C-H, Lee S-H. Effect of cell-density on in-vitro dopaminergic differentiation of mesencephalic precursor cells. NeuroReport. 2005;16(5):499–503.PubMedCrossRef
65.
Zurück zum Zitat Pankratz MT, Li X-J, LaVaute TM, Lyons EA, Chen X, Zhang S-C. Directed neural differentiation of human embryonic stem cells via an obligated primitive anterior stage. Stem cells. 2007;25(6):1511–20.PubMedCrossRef Pankratz MT, Li X-J, LaVaute TM, Lyons EA, Chen X, Zhang S-C. Directed neural differentiation of human embryonic stem cells via an obligated primitive anterior stage. Stem cells. 2007;25(6):1511–20.PubMedCrossRef
66.
Zurück zum Zitat Cao H, Liu T, Chew SY. The application of nanofibrous scaffolds in neural tissue engineering. Adv Drug Deliv Rev. 2009;61(12):1055–64.PubMedCrossRef Cao H, Liu T, Chew SY. The application of nanofibrous scaffolds in neural tissue engineering. Adv Drug Deliv Rev. 2009;61(12):1055–64.PubMedCrossRef
67.
Zurück zum Zitat Shao M, Ning F, Zhao J, Wei M, Evans DG, Duan X. Preparation of Fe3O4@ SiO2@ layered double hydroxide core–shell microspheres for magnetic separation of proteins. J Am Chem Soc. 2012;134(2):1071–7.PubMedCrossRef Shao M, Ning F, Zhao J, Wei M, Evans DG, Duan X. Preparation of Fe3O4@ SiO2@ layered double hydroxide core–shell microspheres for magnetic separation of proteins. J Am Chem Soc. 2012;134(2):1071–7.PubMedCrossRef
68.
Zurück zum Zitat Xu C, Yuan Z, Kohler N, Kim J, Chung MA, Sun S. FePt nanoparticles as an Fe reservoir for controlled Fe release and tumor inhibition. J Am Chem Soc. 2009;131(42):15346–51.PubMedPubMedCentralCrossRef Xu C, Yuan Z, Kohler N, Kim J, Chung MA, Sun S. FePt nanoparticles as an Fe reservoir for controlled Fe release and tumor inhibition. J Am Chem Soc. 2009;131(42):15346–51.PubMedPubMedCentralCrossRef
69.
Zurück zum Zitat Karthi S, Kumar GS, Thamizhavel A, Girija E. Biocompatible luminomagnetic hydroxyapatite nanoparticles for dual model bioimaging. J Bionanosci. 2016;10(4):267–74.CrossRef Karthi S, Kumar GS, Thamizhavel A, Girija E. Biocompatible luminomagnetic hydroxyapatite nanoparticles for dual model bioimaging. J Bionanosci. 2016;10(4):267–74.CrossRef
70.
Zurück zum Zitat Gao Y, Lim J, Teoh S-H, Xu C. Emerging translational research on magnetic nanoparticles for regenerative medicine. Chem Soc Rev. 2015;44(17):6306–29.PubMedCrossRef Gao Y, Lim J, Teoh S-H, Xu C. Emerging translational research on magnetic nanoparticles for regenerative medicine. Chem Soc Rev. 2015;44(17):6306–29.PubMedCrossRef
71.
Zurück zum Zitat Grigsby CL, Leong KW. Balancing protection and release of DNA: tools to address a bottleneck of non-viral gene delivery. J R Soc Interface. 2010;7(suppl_1):S67–82.PubMedCrossRef Grigsby CL, Leong KW. Balancing protection and release of DNA: tools to address a bottleneck of non-viral gene delivery. J R Soc Interface. 2010;7(suppl_1):S67–82.PubMedCrossRef
72.
Zurück zum Zitat Kilinc D, Blasiak A, O’Mahony JJ, Lee GU. Low piconewton towing of CNS axons against diffusing and surface-bound repellents requires the inhibition of motor protein-associated pathways. Sci Rep. 2014;4(1):1–10.CrossRef Kilinc D, Blasiak A, O’Mahony JJ, Lee GU. Low piconewton towing of CNS axons against diffusing and surface-bound repellents requires the inhibition of motor protein-associated pathways. Sci Rep. 2014;4(1):1–10.CrossRef
73.
Zurück zum Zitat Choi Y-K, Lee DH, Seo Y-K, Jung H, Park J-K, Cho H. Stimulation of neural differentiation in human bone marrow mesenchymal stem cells by extremely low-frequency electromagnetic fields incorporated with MNPs. Appl Biochem Biotechnol. 2014;174(4):1233–45.PubMedCrossRef Choi Y-K, Lee DH, Seo Y-K, Jung H, Park J-K, Cho H. Stimulation of neural differentiation in human bone marrow mesenchymal stem cells by extremely low-frequency electromagnetic fields incorporated with MNPs. Appl Biochem Biotechnol. 2014;174(4):1233–45.PubMedCrossRef
74.
Zurück zum Zitat Dobson J. Nanoscale biogenic iron oxides and neurodegenerative disease. FEBS Lett. 2001;496(1):1–5.PubMedCrossRef Dobson J. Nanoscale biogenic iron oxides and neurodegenerative disease. FEBS Lett. 2001;496(1):1–5.PubMedCrossRef
75.
Zurück zum Zitat Dadras A, Riazi GH, Afrasiabi A, Naghshineh A, Ghalandari B, Mokhtari F. In vitro study on the alterations of brain tubulin structure and assembly affected by magnetite nanoparticles. J Biol Inorg Chem. 2013;18(3):357–69.PubMedCrossRef Dadras A, Riazi GH, Afrasiabi A, Naghshineh A, Ghalandari B, Mokhtari F. In vitro study on the alterations of brain tubulin structure and assembly affected by magnetite nanoparticles. J Biol Inorg Chem. 2013;18(3):357–69.PubMedCrossRef
76.
Zurück zum Zitat Di Corato R, Gazeau F, Le Visage C, Fayol D, Levitz P, Lux F, et al. High-resolution cellular MRI: gadolinium and iron oxide nanoparticles for in-depth dual-cell imaging of engineered tissue constructs. ACS Nano. 2013;7(9):7500–12.PubMedCrossRef Di Corato R, Gazeau F, Le Visage C, Fayol D, Levitz P, Lux F, et al. High-resolution cellular MRI: gadolinium and iron oxide nanoparticles for in-depth dual-cell imaging of engineered tissue constructs. ACS Nano. 2013;7(9):7500–12.PubMedCrossRef
Metadaten
Titel
The effect of nanomaterials on embryonic stem cell neural differentiation: a systematic review
verfasst von
Ramyar Rahimi Darehbagh
Mozaffar Mahmoodi
Nader Amini
Media Babahajiani
Azra Allavaisie
Yousef Moradi
Publikationsdatum
01.12.2023
Verlag
BioMed Central
Erschienen in
European Journal of Medical Research / Ausgabe 1/2023
Elektronische ISSN: 2047-783X
DOI
https://doi.org/10.1186/s40001-023-01546-0

Weitere Artikel der Ausgabe 1/2023

European Journal of Medical Research 1/2023 Zur Ausgabe