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没有证据表明在重症 COVID-19 疾病中浆母细胞会转分化为发育中的中性粒细胞。

No evidence that plasmablasts transdifferentiate into developing neutrophils in severe COVID-19 disease.

作者信息

Alquicira-Hernandez José, Powell Joseph E, Phan Tri Giang

机构信息

Garvan Institute of Medical Research Darlinghurst NSW Australia.

Institute for Molecular Bioscience University of Queensland St Lucia QLD Australia.

出版信息

Clin Transl Immunology. 2021 Jun 30;10(7):e1308. doi: 10.1002/cti2.1308. eCollection 2021.

DOI:10.1002/cti2.1308
PMID:34221402
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8245277/
Abstract

OBJECTIVES

A recent single-cell RNA sequencing study by Wilk . suggested that plasmablasts can transdifferentiate into 'developing neutrophils' in patients with severe COVID-19 disease. We explore the evidence for this.

METHODS

We downloaded the original data and code used by the authors in their study to replicate their findings and explore the possibility that regressing out variables may have led the authors to overfit their data.

RESULTS

The lineage relationship between plasmablasts and developing neutrophils breaks down when key features are not regressed out, and the data are not overfitted during the analysis.

CONCLUSION

Plasmablasts do not transdifferentiate into developing neutrophils. The single-cell RNA sequencing is a powerful technique for biological discovery and hypothesis generation. However, caution should be exercised in the bioinformatic analysis and interpretation of the data and findings cross-validated by orthogonal techniques.

摘要

目的

威尔克最近的一项单细胞RNA测序研究表明,在患有严重COVID-19疾病的患者中,浆母细胞可转分化为“发育中的中性粒细胞”。我们探究了这一说法的证据。

方法

我们下载了作者在其研究中使用的原始数据和代码,以重复他们的发现,并探究剔除变量可能导致作者数据过度拟合的可能性。

结果

当关键特征未被剔除时,浆母细胞与发育中的中性粒细胞之间的谱系关系不成立,且在分析过程中数据未出现过度拟合。

结论

浆母细胞不会转分化为发育中的中性粒细胞。单细胞RNA测序是一种用于生物学发现和假设生成的强大技术。然而,在生物信息学分析以及对数据和通过正交技术交叉验证的结果进行解释时应谨慎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4d/8245277/68102e95bf1e/CTI2-10-e1308-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4d/8245277/f1bbf6305f9a/CTI2-10-e1308-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4d/8245277/9a5e965bd1d3/CTI2-10-e1308-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4d/8245277/68102e95bf1e/CTI2-10-e1308-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4d/8245277/f1bbf6305f9a/CTI2-10-e1308-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4d/8245277/9a5e965bd1d3/CTI2-10-e1308-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1f4d/8245277/68102e95bf1e/CTI2-10-e1308-g001.jpg

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Integrated analysis of multimodal single-cell data.多模态单细胞数据的综合分析。
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