For research use only
| Cat No. | ABC-TC0724 |
| Product Type | Human Nerve Tumors Cell Lines |
| Species | Human |
| Growth Conditions | 37 ℃, 5% CO2 |
| Product Code | NB1, NB 1, nb-1 |
NB-1 human neuroblastoma cells from age 2 male show neuronal morphology, ALK amplification,GD2 overexpression,tumorigenic,metastatic,doubling 40–60 hours.
The NB-1 cell line is a human neuroblastoma cell line originally isolated from the cervical lymph node metastasis of a 2-year-old male patient with neuroblastoma. These cells exhibit typical neuroblastoma characteristics, including small, round cell morphology with neurite extensions under differentiation conditions. They grow semi-adherently in culture and shows a doubling time of 40–60 hours. Karyotypic analysis reveals ALK gene amplification (2p23 locus) and a novel truncated ALK variant (ALKdel2-3) lacking exons 2–3, and harbors chromosomal instability, including 1p deletion and 17q gain. NB-1 cells express neural crest markers (e.g., GD2 synthase(a tumor-associated ganglioside) and PHOX2B). This cell line demonstrate high tumorigenicity, forming subcutaneous tumors in nude mice, and exhibits enhanced metastatic potential to bone and bone marrow. Their gene expression profile aligns with poorly differentiated, high-risk neuroblastoma, making them a critical tool for studying tumor progression, drug resistance, and novel therapies.
| Product Code | NB1, NB 1, nb-1 |
| Species | Human |
| Cat.No | ABC-TC0724 |
| Product Category | Tumor Cell Lines |
| Size/Quantity | 1 vial |
| Shipping Info | Dry Ice |
| Growth Conditions | 37 ℃, 5% CO2 |
| Biosafety Level | 1 |
| Storage | Liquid Nitrogen |
| Product Type | Human Nerve Tumors Cell Lines |
The NB-1 cell line is widely used to study neuroblastoma differentiation, assessing morphological and functional changes in vitro. It serves as a model to evaluate radiosensitivity and response to radiation therapy. NB-1 cells also facilitate investigation of genetic abnormalities involved in neuroblastoma pathogenesis. Additionally, they support predictive modeling of anticancer drug sensitivity, advancing personalized treatment strategies.
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