研究固定白细胞单细胞 RNA-seq 技术因素的数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Daniel V Brown , Agnieszka Swierczak , Yue You , Yupei You , Daniela Amann-Zalcenstein , Peter Hickey , Arthur Hsu , Matthew E. Ritchie , Monther Alhamdoosh , Judith Field , Rory Bowden
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引用次数: 0

摘要

单细胞 RNA 测序(scRNA-seq)是一项功能强大的技术,可测量单个细胞的基因表达。这种精确性使人们能够深入了解大量方法可能忽略的细胞异质性。脆性细胞,特别是中性粒细胞,由于其体内脆性、高 RNase 含量以及在冷冻保存过程中的损失,给 scRNA 测序带来了巨大挑战。固定 scRNA-Seq 方法的引入为解决这些难题提供了一个前景广阔的解决方案。我们评估了两种不同商业平台在去红细胞全血细胞上的性能:10x Genomics Flex v1 和 Honeycomb HIVE v1。这些数据可从基因表达总库数据库(登录号 GSE266615)公开获取。这些数据可用于研究中性粒细胞转录组对原生环境的反映程度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A dataset examining technical factors on fixed white blood cell single-cell RNA-seq
Single-cell RNA sequencing (scRNA-seq) is a powerful technology that enables the measurement of gene expression in individual cells. Such precision provides insights into cellular heterogeneity that bulk methods might overlook. Fragile cells, in particular neutrophils, have posed significant challenges for scRNA-Seq due to their ex vivo fragility, high RNase content and consequent loss during cryopreservation. The introduction of fixed scRNA-Seq methodology offers a promising solution to these challenges. We evaluated the performance of two different commercial platforms on red blood cell-depleted whole blood cells: 10x Genomics Flex v1 and Honeycomb HIVE v1.
These data are publicly available from the Gene Expression Omnibus database (accession number GSE266615).
Further insights could be gained by correcting batch and technical effects introduced by storage time after fixation and cell numbers fixed. These data may be used to examine how reflective the transcriptome of neutrophils are of the native environment.
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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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