Comprehensive characterization of the human neural stem cell line HNSC.100 as a versatile model for neurobiological research.

IF 3.3 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Biochemistry and Biophysics Reports Pub Date : 2026-06-02 eCollection Date: 2026-06-01 DOI:10.1016/j.bbrep.2026.102655
Estera Jeruzalska, Carolin Ketteler, Elisa Stützenberger, Sandra Burczyk, Larissa Möller, Dierk Niessing
{"title":"Comprehensive characterization of the human neural stem cell line HNSC.100 as a versatile model for neurobiological research.","authors":"Estera Jeruzalska, Carolin Ketteler, Elisa Stützenberger, Sandra Burczyk, Larissa Möller, Dierk Niessing","doi":"10.1016/j.bbrep.2026.102655","DOIUrl":null,"url":null,"abstract":"<p><p>Studying neural-related questions is inherently challenging due to the limited number of suitable cell models. Here, we characterize a previously reported immortalized human neural stem cell line, HNSC.100, serving as a robust model for a wide range of neurobiological research questions. The cell line expresses key neural stem cell markers, including SOX2, vimentin, nestin, and allows for efficient genetic manipulation. Furthermore, HNSC.100 cells can be differentiated into neurons, astrocytes, and oligodendrocytes, thereby covering a wide spectrum of major neural cell types. We adapted corresponding differentiation protocols and established a comprehensive panel of molecular markers to validate successful differentiation, enabling precise characterization of the resulting cell population. In addition, we provide a complete dataset of RNA expression levels for all detectable genes in HNSC.100 cells. Based on this dataset, we assembled a list of expressed genes implicated in neural disorders that can be studied with this cell line. Together, we present a detailed characterization of the HNSC.100 cell line and provide new tools and reference data to facilitate its use. This resource enables researchers to evaluate the line's suitability for specific applications and to rapidly integrate HNSC.100 cells into their experimental workflows.</p>","PeriodicalId":8771,"journal":{"name":"Biochemistry and Biophysics Reports","volume":"46 ","pages":"102655"},"PeriodicalIF":3.3000,"publicationDate":"2026-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13251743/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biochemistry and Biophysics Reports","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.bbrep.2026.102655","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/6/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Studying neural-related questions is inherently challenging due to the limited number of suitable cell models. Here, we characterize a previously reported immortalized human neural stem cell line, HNSC.100, serving as a robust model for a wide range of neurobiological research questions. The cell line expresses key neural stem cell markers, including SOX2, vimentin, nestin, and allows for efficient genetic manipulation. Furthermore, HNSC.100 cells can be differentiated into neurons, astrocytes, and oligodendrocytes, thereby covering a wide spectrum of major neural cell types. We adapted corresponding differentiation protocols and established a comprehensive panel of molecular markers to validate successful differentiation, enabling precise characterization of the resulting cell population. In addition, we provide a complete dataset of RNA expression levels for all detectable genes in HNSC.100 cells. Based on this dataset, we assembled a list of expressed genes implicated in neural disorders that can be studied with this cell line. Together, we present a detailed characterization of the HNSC.100 cell line and provide new tools and reference data to facilitate its use. This resource enables researchers to evaluate the line's suitability for specific applications and to rapidly integrate HNSC.100 cells into their experimental workflows.

人类神经干细胞系HNSC.100作为神经生物学研究的通用模型的综合表征。
由于合适的细胞模型数量有限,研究神经相关问题本身就具有挑战性。在这里,我们描述了先前报道的永生化人类神经干细胞系HNSC.100,作为广泛的神经生物学研究问题的稳健模型。该细胞系表达关键的神经干细胞标记物,包括SOX2, vimentin, nestin,并允许有效的遗传操作。此外,HNSC.100 细胞可以分化为神经元、星形胶质细胞和少突胶质细胞,从而覆盖了广泛的主要神经细胞类型。我们采用了相应的分化方案,并建立了一个全面的分子标记面板来验证成功的分化,从而能够精确表征所产生的细胞群。此外,我们提供了HNSC.100 细胞中所有可检测基因的RNA表达水平的完整数据集。基于这个数据集,我们收集了一个与神经疾病相关的表达基因列表,可以用这个细胞系进行研究。总之,我们提出了HNSC.100 细胞系的详细特征,并提供了新的工具和参考数据,以促进其使用。该资源使研究人员能够评估该系对特定应用的适用性,并将HNSC.100 细胞快速集成到他们的实验工作流程中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Biochemistry and Biophysics Reports
Biochemistry and Biophysics Reports Biochemistry, Genetics and Molecular Biology-Biophysics
CiteScore
4.60
自引率
0.00%
发文量
191
审稿时长
59 days
期刊介绍: Open access, online only, peer-reviewed international journal in the Life Sciences, established in 2014 Biochemistry and Biophysics Reports (BB Reports) publishes original research in all aspects of Biochemistry, Biophysics and related areas like Molecular and Cell Biology. BB Reports welcomes solid though more preliminary, descriptive and small scale results if they have the potential to stimulate and/or contribute to future research, leading to new insights or hypothesis. Primary criteria for acceptance is that the work is original, scientifically and technically sound and provides valuable knowledge to life sciences research. We strongly believe all results deserve to be published and documented for the advancement of science. BB Reports specifically appreciates receiving reports on: Negative results, Replication studies, Reanalysis of previous datasets.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信
小红书