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人类神经类器官单细胞RNA测序共表达的荟萃分析揭示了它们在模拟原代组织方面的高度变异性。

Meta-analysis of single-cell RNA sequencing co-expression in human neural organoids reveals their high variability in recapitulating primary tissue.

作者信息

Werner Jonathan M, Gillis Jesse

机构信息

The Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America.

Physiology Department and Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada.

出版信息

PLoS Biol. 2024 Dec 2;22(12):e3002912. doi: 10.1371/journal.pbio.3002912. eCollection 2024 Dec.

Abstract

Human neural organoids offer an exciting opportunity for studying inaccessible human-specific brain development; however, it remains unclear how precisely organoids recapitulate fetal/primary tissue biology. We characterize field-wide replicability and biological fidelity through a meta-analysis of single-cell RNA-sequencing data for first and second trimester human primary brain (2.95 million cells, 51 data sets) and neural organoids (1.59 million cells, 173 data sets). We quantify the degree primary tissue cell type marker expression and co-expression are recapitulated in organoids across 10 different protocol types. By quantifying gene-level preservation of primary tissue co-expression, we show neural organoids lie on a spectrum ranging from virtually no signal to co-expression indistinguishable from primary tissue, demonstrating a high degree of variability in biological fidelity among organoid systems. Our preserved co-expression framework provides cell type-specific measures of fidelity applicable to diverse neural organoids, offering a powerful tool for uncovering unifying axes of variation across heterogeneous neural organoid experiments.

摘要

人类神经类器官为研究难以触及的人类特异性大脑发育提供了一个令人兴奋的机会;然而,类器官如何精确地重现胎儿/原始组织生物学仍不清楚。我们通过对孕早期和孕中期人类原始大脑(295万个细胞,51个数据集)和神经类器官(159万个细胞,173个数据集)的单细胞RNA测序数据进行荟萃分析,来表征全领域的可重复性和生物学保真度。我们量化了10种不同方案类型的类器官中原始组织细胞类型标记物表达和共表达的重现程度。通过量化原始组织共表达的基因水平保留情况,我们发现神经类器官处于一个范围,从几乎没有信号到与原始组织无法区分的共表达,这表明类器官系统之间的生物学保真度存在高度变异性。我们的保留共表达框架提供了适用于各种神经类器官的细胞类型特异性保真度测量方法,为揭示跨异质神经类器官实验的统一变异轴提供了一个强大的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/db22/11637388/4db43ebbffa0/pbio.3002912.g001.jpg

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