Human Neural Stem Cells (iPSC-derived, Normal)

Overview

Human Neural Stem Cells (iPSC-derived, Normal) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Human Neural within the Nervous system.

Neural stem cells (NSCs) are self-renewing, multipotent cells that generate the main phenotype of the nervous system. They primarily differentiate into neurons, astrocytes, and oligodendrocytes [1] . The recent discovery of induced pluripotent stem cells (iPSCs) not only overcomes the ethical and logistical issues associated with human embryonic stem cells, but also provides a flexible platform for generating various differentiated cell types from diseased individuals.iPSC-derived NSCs are a potentially valuable source of in vitro models for complex, polygenic human diseases, and are potentially useful for drug discovery and cell-based therapy applications [2] . iXCells Biotechnologies provides high quality human neural stem cells (NSCs) derived from normal or diseased iPS cell lines. These cells express typical markers of neural stem and progenitor cells, e.g. Nestin, Pax6 and Sox1 (Figure 1 and Figure 2), with the purity higher than 97% (Figure 3). The cells have been fully characterized for their self-renewal and multi-potency. The iPSC-derived NSCs can be differentiated into astrocytes or motor neurons (Figure 4). Cells can further expand for 3-5 passages in Human Neural Stem Cell Growth Medium (Cat# MD-0024), but they are not recommended for extensive expansion, because the purity of the neural stem cell population may decrease. All the cells provided by iXCells are negative for mycoplasma, bacteria, yeast, and fungi. HIV-1, hepatitis B and hepatitis C. The basic donor information (gender / age / race) is provided for each cell lot purchased.

Key elements and design rationale

• Cell identity: Neural (iPSC-Derived Cells)
• Source context: Stem; Nervous
• Donor background: Age: Embryonic
• Biosafety level: BSL-2 (follow your institution’s biosafety program and local regulations)

Product-specific elements (such as tissue source, donor background, and cell classification) help frame how results should be interpreted across assays and experimental conditions.

Biological background

Neural and glial cell models support studies of neuronal signaling, synaptic biology, neuroinflammation, and cell-type–specific responses to injury or disease-relevant stimuli.

Across primary and specialty cell models, experimental outcomes can be influenced by donor heterogeneity, passage history, confluence, and media composition. For interpretation, it is common to validate key markers or functional phenotypes in the user’s assay context and to document culture variables consistently.

Research relevance and current trends

• Increasing use of primary and specialty cells to improve translational relevance for target biology and phenotypic screening.
• Adoption of 3D culture formats and co-culture systems to better capture tissue microenvironments and cell–cell interactions.
• Integration of functional readouts with single-cell and multi-omics profiling to connect phenotype with molecular state.
• Growth of human-relevant neural models (including glial components) to study circuit- and inflammation-linked phenotypes.

Common research applications

• Profile identity markers by flow cytometry or immunostaining in cultured cells
• Quantify neurite outgrowth and synaptic marker profiles in neural cultures
• Quantify functional responses to defined stimuli relevant to the model system
• Compare baseline phenotype across donors/conditions using gene expression profiling
• Measure neuroinflammatory signaling in neuron–glia or microglia-enriched models

Interpretation typically focuses on how a perturbation (e.g., cytokine exposure, metabolic stress, genetic manipulation, or compound treatment) shifts marker profiles or functional readouts relative to an appropriate control matched for donor and culture variables.

Notes for experimental interpretation

• Donor-to-donor heterogeneity can influence baseline phenotype and treatment response; include biological replicates when feasible.
• Passage number, confluence, and media composition can shift gene expression and functional readouts; track and report these variables consistently.
• Contamination control (including routine mycoplasma monitoring) supports reproducibility in downstream assays.
• Use appropriate negative/positive controls for the readout (e.g., unstimulated controls, pathway agonists/antagonists) to contextualize observed changes.

SKU:BHC18500127

Customization & Add-ons: Can't find the cell line you need—or require a custom cell-based solution for your project? We can help you source the best match or support custom cell line services for diverse research needs, including cell line sourcing and selection (species, tissue, and disease model matching), stable cell line engineering (overexpression, knockdown, or knockout via CRISPR/Cas9, shRNA, or sgRNA), reporter gene integration (GFP, RFP, luciferase, and other fluorescent or bioluminescent constructs), genome editing and knockin (point mutations, tagged endogenous proteins, conditional alleles), inducible expression systems (Tet-On/Off and other regulatable constructs), drug resistance marker selection (puromycin, G418, hygromycin, and others), custom growth and media optimisation for specific assay requirements, scale-up production for high-throughput screening campaigns, and authentication and QC services (STR profiling, mycoplasma testing, viability assessment). Click Talk to a Scientist to submit a request, email us at support@biohippo.com, or explore our Research Services for additional support—our team will follow up with feasibility details and next steps.