This article is a correction to:
Integrated analysis of single-cell RNA-seq and chipset data unravels PANoptosis-related genes in sepsis
Wei Dai1,2†
Ping Zheng3†
Jian Wu4
Siqi Chen4Mingtao Deng4Xiangqian Tong1
Fen Liu5
Xiuling Shang6*
Kejian Qian5*- 1Department of Intensive Care Unit, The First Affiliated Hospital of Jiangxi Medical College, Shangrao, Jiangxi, China
- 2Department of Clinical Medicine, Jiangxi Medical College, Shangrao, Jiangxi, China
- 3Department of Key Laboratory, Shanghai Pudong New Area People’s Hospital, Shanghai, China
- 4Department of Medical Technology, Jiangxi Medical College, Shangrao, Jiangxi, China
- 5Department of Intensive Care Unit, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
- 6The Third Department of Critical Care Medicine, Shengli Clinical Medical College of Fujian Medical University, Fujian Provincial Center for Critical Care Medicine, Fujian Provincial Key Laboratory of Critical Care Medicine, Fuzhou, China
A Corrigendum on
Integrated analysis of single-cell RNA-seq and chipset data unravels PANoptosis-related genes in sepsis
by Dai W, Zheng P, Wu J, Chen S, Deng M, Tong X, Liu F, Shang X and Qian K (2024). Front. Immunol. 14:1247131. doi: 10.3389/fimmu.2023.1247131
In the published article, a reference was missing for the section: “We downloaded the sepsis single-cell sequencing sample GSE167363 from the GEO database and processed the data using the Seurat package, retaining cells with less than 10% mitochondrial genes, cells with a total number of genes greater than 200, and expression ranging from 200 to 12,000 and Genes expressed in at least 3 cells.”
The reference “Qiu X, Li J, Bonenfant J, Jaroszewski L et al. Dynamic changes in human single-cell transcriptional signatures during fatal sepsis. J Leukoc Biol 2021 Dec;110(6):1253-1268. PMID: 34558746” should be added.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
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Keywords: sepsis, Boruta algorithm, PANoptosis, single-cell RNA-seq, ssGSEA
Citation: Dai W, Zheng P, Wu J, Chen S, Deng M, Tong X, Liu F, Shang X and Qian K (2024) Corrigendum: Integrated analysis of single-cell RNA-seq and chipset data unravels PANoptosis-related genes in sepsis. Front. Immunol. 15:1415915. doi: 10.3389/fimmu.2024.1415915
Received: 11 April 2024; Accepted: 12 April 2024;
Published: 23 April 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Dai, Zheng, Wu, Chen, Deng, Tong, Liu, Shang and Qian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiuling Shang, emtzeGxpbmdAMTYzLmNvbQ==; Kejian Qian, bmR5ZnlpY3VAZW1haWwubmN1LmVkdS5jbg==
†These authors have contributed equally to this work and share first authorship