来自猪永生化前脂肪细胞系的RNA测序数据集

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES
Susanna E. Riley, Thomas Thrower, Seungmee Lee, Cristina L. Esteves, F. Xavier Donadeu
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引用次数: 0

摘要

我们迫切需要能够在保持其功能特征的同时在培养中迅速扩增的牲畜细胞系,既可以用作了解动物生理学的体外模型,也可以用于诸如细胞农业等新兴领域的工业应用。在这里,我们描述了一个自发永生化的前脂肪细胞系的RNA测序数据集,该细胞系是通过猪脂肪来源的间充质间质细胞(MSCs)的连续传代获得的。这种被称为FaTTy的细胞系的独特之处在于,它在长期培养过程中显示出增强的脂肪生成能力,其特征是接近100%的分化效率和产生成熟脂肪细胞的能力。对FaTTy和亲代MSCs进行大量RNA测序。我们介绍了原始文件的分析和生物信息学分析,包括差异基因表达。这些数据提供了关于细胞永生化机制和脂肪细胞系独特表型的有价值的见解,具有作为培养脂肪制造的潜在细胞来源的独特优势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An RNA sequencing dataset from a porcine immortalized pre-adipocyte cell line
There is a significant need for livestock cell lines that can be robustly expanded in culture while maintaining their functional characteristics, both for use as in vitro models to understand animal physiology and for industrial applications such as in the emerging sector of cellular agriculture. Here we describe RNA sequencing datasets from a spontaneously immortalized pre-adipocyte line that was derived through serial passaging of porcine adipose-derived mesenchymal stromal cells (MSCs). This cell line, known as FaTTy, is unique in that it displays enhanced adipogenic capacity during long-term culture, characterised by a close to 100% differentiation efficiency and the ability to generate mature adipocytes. Bulk RNA sequencing was performed from FaTTy and parental MSCs. We present analysis of the raw files and bioinformatics analyses, including differential gene expression. These data provide valuable insight on the mechanisms of cell immortalization and the unique phenotype of the FaTTy cell line, with distinctive advantages as a prospective cell source for cultivated fat manufacture.
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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