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nt2 cells  (ATCC)


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    ATCC nt2 cells
    Nt2 Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 882 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/nt2 cells/product/ATCC
    Average 96 stars, based on 882 article reviews
    nt2 cells - by Bioz Stars, 2026-04
    96/100 stars

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    The post-mortem bipolar disorder (BD) gene expression dataset was created using RNA sequencing (RNAseq) data from post-mortem dorsolateral prefrontal cortex (DLPFC) samples obtained from BD patients and healthy controls (HC). This dataset was used to create gene regulatory networks, which were then compared to a list of genes related to melatonin synthesis, signalling, and degradation using gene set enrichment analysis (GSEA), and to gene regulatory networks for melatonin agonists. The <t>NT2-N</t> gene expression dataset was created using RNAseq libraries prepared from differentiated NT2-N neurons treated with various mood stabilisers for 24 hours. This dataset was then compared to a list of melatonin-related genes using GSEA. [Created by authors with biorender.com ]
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    The post-mortem bipolar disorder (BD) gene expression dataset was created using RNA sequencing (RNAseq) data from post-mortem dorsolateral prefrontal cortex (DLPFC) samples obtained from BD patients and healthy controls (HC). This dataset was used to create gene regulatory networks, which were then compared to a list of genes related to melatonin synthesis, signalling, and degradation using gene set enrichment analysis (GSEA), and to gene regulatory networks for melatonin agonists. The NT2-N gene expression dataset was created using RNAseq libraries prepared from differentiated NT2-N neurons treated with various mood stabilisers for 24 hours. This dataset was then compared to a list of melatonin-related genes using GSEA. [Created by authors with biorender.com ]

    Journal: bioRxiv

    Article Title: Investigating the role of melatonin in bipolar disorder using transcriptomics

    doi: 10.1101/2025.09.03.673928

    Figure Lengend Snippet: The post-mortem bipolar disorder (BD) gene expression dataset was created using RNA sequencing (RNAseq) data from post-mortem dorsolateral prefrontal cortex (DLPFC) samples obtained from BD patients and healthy controls (HC). This dataset was used to create gene regulatory networks, which were then compared to a list of genes related to melatonin synthesis, signalling, and degradation using gene set enrichment analysis (GSEA), and to gene regulatory networks for melatonin agonists. The NT2-N gene expression dataset was created using RNAseq libraries prepared from differentiated NT2-N neurons treated with various mood stabilisers for 24 hours. This dataset was then compared to a list of melatonin-related genes using GSEA. [Created by authors with biorender.com ]

    Article Snippet: This dataset consists of RNAseq data collected from human NT2 teratocarcinoma cells (ATCC, United States; RRID: CVCL_0034).

    Techniques: Gene Expression, RNA Sequencing