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

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NIAID Data Ecosystem2026-03-13 收录
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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

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2022-02-02
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