Rat Dorsal Root Ganglion Neurons (rDRGN)

Overview

Rat Dorsal Root Ganglion Neurons (rDRGN) is a cell model used for research applications where physiologically relevant identity and donor background support interpretation of experimental readouts. Rat Neurons derived from Spinal Cord (Dorsal Root Ganglion) within the Nervous system.

A ganglion is a group of nerve cells forming a nerve center, especially one located outside the brain or spinal cord. Dorsal root ganglion is a group of sensory nerve cell bodies. They pass sensory information to neurons in the spinal cord so it can be analyzed by the brain. In anatomy and neurology, the dorsal root ganglion (or spinal ganglion) is a nodule on a dorsal root that contains cell bodies of neurons in afferent spinal nerves. Dorsal root ganglion cells are pseudounipolar cells. Pseudounipolar cells have 2 axons rather than an axon and dendrite. One axon extends centrally toward the spinal cord; the other axon extends toward the skin or muscle.. Cultured adult rat dorsal root ganglion (DRG) neurons can be used to study depolarization-induced Ca 2+ mobilization and the effects of intracellular Ca 2+ depletion on neurite outgrowth. DRGs are very useful in neurotoxicity assessment & other drug screening studies. Rat Dorsal Root Ganglion Neurons (rDRGN) provided by iXCells Biotechnologies are derived from spinal cords of normal embryonic rat. >500,000 cells are cryopreserved upon isolation.Each lot was tested for proper morphology, Stain positive for β III-Tubulin (TUJ1), Negative for HIV, Hepatitis B, Hepatitis C, mycoplasma, bacteria, and fungi. (A) Phase contrast image of Rat Dorsal Root Ganglion Neurons (rDRGN) (DIV 3). (B) rDRGN are positive for β III-Tubulin (TUJ1) as shown by immunofluorescence staining.

Key elements and design rationale

• Cell identity: Neurons (Primary Cells)
• Source context: Spinal Cord; Dorsal Root Ganglion; Nervous
• Donor background: Age: Embryonic, Adult
• 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:BHC18500121

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