Integrative single-cell RNA sequencing and metabolomics decipher the imbalanced lipid-metabolism in maladaptive immune responses during sepsis
- 1State Key Laboratory of Trauma, Burns and Combined Injury, Shock and Transfusion Department, Daping Hospital, Army Medical University, Chongqing, China
- 2Department of Anesthesiology, Daping Hospital, Army Medical University, Chongqing, China
- 3Department of Intensive Care Unit, Daping Hospital, Army Medical University, Chongqing, China
A Corrigendum on
Integrative single-cell RNA sequencing and metabolomics decipher the imbalanced lipid-metabolism in maladaptive immune responses during sepsis
By She H, Tan L, Wang Y, Du Y, Zhou Y, Zhang J, Du Y, Guo N, Wu Z, Li Q, Bao D, Mao Q, Hu Y, Liu L and Li T (2023). Front. Immunol. 14:1181697. doi: 10.3389/fimmu.2023.1181697
Missing Citation.
In the published article 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. was not cited in the article. The citation has now been inserted in Materials and methods section; Single cell RNA-seq analysis, as followed:
“The scRNA-seq dataset GSE167363 [24] (included 5 sepsis patients and 2 healthy controls) was analyzed in this study”.
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, lipid-metabolism, machine learning algorithm, single-cell RNA sequencing, metabolomics
Citation: She H, Tan L, Wang Y, Du Y, Zhou Y, Zhang J, Du Y, Guo N, Wu Z, Li Q, Bao D, Mao Q, Hu Y, Liu L and Li T (2024) Corrigendum: Integrative single-cell RNA sequencing and metabolomics decipher the imbalanced lipid-metabolism in maladaptive immune responses during sepsis. Front. Immunol. 15:1418495. doi: 10.3389/fimmu.2024.1418495
Received: 16 April 2024; Accepted: 17 April 2024;
Published: 22 April 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 She, Tan, Wang, Du, Zhou, Zhang, Du, Guo, Wu, Li, Bao, Mao, Hu, Liu and Li. 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: Yi Hu, aHV5aTkyMUBzaW5hLmNvbQ==; Liangming Liu, bG1saXU2MkB0bW11LmVkdS5jbg==; Tao Li, bHQyMDAxMzJAMTYzLmNvbQ==
†These authors have contributed equally to this work