Rat Cortical Neurons (RCN)

Overview

Rat Cortical Neurons (RCN) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Rat Neurons derived from Brain (Cortical) within the Nervous system.

Cortical neurons make up a large portion of the brain and consist of both glutamateric and GABA-ergic neurons [1] . They play an important role in higher level thought processes and are necessary to organize input from subcortical structures. Like all neurons, these cells transport Na+ that work to propagate action potentials from one cell to the next, which is the basis of a working neural pathway. These cells can be used to study a variety of cortical related abnormalities including Huntington’s Disease, Alzheimer’s Disease, psychiatric disorders, and learning disorders [2, 3] . iXCells Biotechnologies provides high quality Rat Cortical Neurons (RCN), which are isolated from the brains of E16 embryonic rats. These cells are cryopreserved at P0, with ≥ 2 million cells in each vial. They are negative for mycoplasma, bacteria, yeast, and fungi. RCNs can be plated using Rat Cortical Neuron Recovery Medium ( Cat# MD-0107A ) and maintained in Rat Cortical Neuron Maintenance Medium ( Cat# MD-0107B ) under the condition suggested by iXCells Biotechnologies. Figure 1. Rat Cortical Neuron (Cat# 10RA-032) were recovered and cultured for 5 days. (A) Phase contrast image. (B) Immunofluorescence staining were performed using antibodies against the neuronal markers MAP2 (green) and NeuN (red).

Key elements and design rationale

• Cell identity: Neurons (Primary Cells)
• Source context: Brain; Cortical; Nervous
• Donor background: Age: Embryonic
• Biosafety level: BSL-1 (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:BHC18500114

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