- 1Department of Environmental Health and Occupational Medicine, School of Public Health, Wuhan University of Science and Technology, Wuhan, China
- 2Department of Intensive Care Unit, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- 3Shantou University Medical College, Shantou, China
By Chen D, Huang X, Wang C, Zheng C and Liu Y (2025). Front. Immunol. 16:1638156. doi: 10.3389/fimmu.2025.1638156
Affiliation 3 “Shantou University Medical College, Shantou, China” was erroneously given as “Huazhong University of Science and Technology, Wuhan, China”.
The original version of this article has been updated.
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Keywords: sepsis, single-cell RNA sequencing, 101-machine learning, telomere, immune cells
Citation: Chen D, Huang X, Wang C, Zheng C and Liu Y (2025) Correction: Portfolio analysis of single-cell RNA-sequencing and transcriptomic data unravels immune cells and telomere-related biomarkers in sepsis. Front. Immunol. 16:1746347. doi: 10.3389/fimmu.2025.1746347
Received: 17 November 2025; Accepted: 17 November 2025;
Published: 10 December 2025.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2025 Chen, Huang, Wang, Zheng and Liu. 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: Yunhao Liu, eXVuaGFvbGl1QHd1c3QuZWR1LmNu
†These authors have contributed equally to this work
Xiyi Huang1†