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Single cell RNA-seq data of human hESCs comparing experiments with cDNA library equalization. Single cell RNA-seq data of human hESCs comparing experiments with cDNA library equalization

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NIAID Data Ecosystem2026-03-11 收录
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https://www.ncbi.nlm.nih.gov/bioproject/PRJNA658114
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资源简介:
Considerable effort has been devoted to refining experimental protocols having reduced levels of technical variability and artifacts in single-cell RNA-sequencing data (scRNA-seq). We here present evidence that equalizing the concentration of cDNA libraries prior to pooling, a step not consistently performed in single-cell experiments, improves gene detection rates, enhances biological signals, and reduces technical artifacts in scRNA-seq data. In this submission the original single-cell cDNA is from GSE75748 cells labelled EC2 and TB2 in which the cDNA was not equalized prior to library preparation. We performed a set of experiments with the equalization step and provide three count matrices - 1) EQ (equalized cDNA prior to pooling in equal amounts); 2) EQ Vary (same as EQ but pooled at unequal amounts); 3) EQ-75% (equalized cDNA and pooled equally, sequeced to lower total depth). Overall design: Single cell RNA-seq data of human hESCs comparing experiments with cDNA library equalization

已有大量研究致力于优化实验方案,以降低单细胞RNA测序(single-cell RNA-sequencing, scRNA-seq)数据中的技术变异与伪影。本研究证实,在混合测序文库前均一化互补DNA(complementary DNA, cDNA)文库浓度——这一步骤在单细胞实验中并非普遍执行——可提升基因检出率、增强生物学信号,并降低scRNA-seq数据中的技术伪影。本提交数据集的原始单细胞cDNA来自标注为EC2与TB2的GSE75748细胞,该批样本在文库制备前未进行浓度均一化处理。我们通过增设浓度均一化步骤开展了一系列对照实验,并提供三份计数矩阵:1)EQ组:混合前将cDNA均一化至等量浓度;2)EQ Vary组:处理流程与EQ组一致,但混合时采用不等量比例;3)EQ-75%组:cDNA经均一化且等量混合,测序总深度较低。整体实验设计:针对人类胚胎干细胞(human embryonic stem cells, hESCs)的单细胞RNA测序数据,对比开展与未开展cDNA文库均一化的实验结果。
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2020-08-19
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