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human nt2 d1  (ATCC)


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    ATCC human nt2 d1
    Human Nt2 D1, supplied by ATCC, used in various techniques. Bioz Stars score: 96/100, based on 873 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/human nt2 d1/product/ATCC
    Average 96 stars, based on 873 article reviews
    human nt2 d1 - by Bioz Stars, 2026-02
    96/100 stars

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    human nt2 teratocarcinoma cells  (ATCC)
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    ATCC human nt2 teratocarcinoma cells
    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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    Image Search Results


    (A) Effect of bpDNase on GCT proliferation. (B) Pulmozyme® rhDNase does not inhibit proliferation of healthy human testicular fibroblasts or EC cells NT2. (C) DNase does not affect the chemoresistance of the EC cells NT2 CisR. (D) NLR-NT2 CisR cells retain low migratory potential in the presence of rhDNase in vitro . (E) Tumor cell chemosensitivity to cisplatin is significantly higher in the direct coculture of healthy donor Nθ in the presence of the rhDNase.

    Journal: PLOS One

    Article Title: Low level of plasma DNase is associated with worse clinical outcome in testicular germ cell tumor patients and exogeneous DNase I improves (Leverages) cisplatin treatment efficacy

    doi: 10.1371/journal.pone.0336190

    Figure Lengend Snippet: (A) Effect of bpDNase on GCT proliferation. (B) Pulmozyme® rhDNase does not inhibit proliferation of healthy human testicular fibroblasts or EC cells NT2. (C) DNase does not affect the chemoresistance of the EC cells NT2 CisR. (D) NLR-NT2 CisR cells retain low migratory potential in the presence of rhDNase in vitro . (E) Tumor cell chemosensitivity to cisplatin is significantly higher in the direct coculture of healthy donor Nθ in the presence of the rhDNase.

    Article Snippet: NTERA-2 (ATCC® CRL1973TM) labeled NT2 cells throughout the manuscript, Tera-2 cells (ATCC® HTB-106TM, kindly provided by Dr. Ludmila Boublikova, Charles University and University Hospital in Motol, Prague, the Czech Republic) and testicular fibroblasts Hs 1.Tes (ATCC® CRL-7002TM) were cultivated in high‐glucose (4.5 g/L) DMEM (Sigma-Aldrich®) supplemented with 10% FBS (GIBCO TM ), 10,000 IU/mL penicillin (Biotika, Slovakia), 5 μg/mL streptomycin and 1x GlutaMAX TM -I Supplement (GIBCO TM ).

    Techniques: In Vitro

    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