Integrated Bioinformatic Analysis Reveals TXNRD1 as a Novel Biomarker and Potential Therapeutic Target in Idiopathic Pulmonary Arterial Hypertension
A corrigendum on
Integrated bioinformatic analysis reveals TXNRD1 as a novel biomarker and potential therapeutic target in idiopathic pulmonary arterial hypertension
by Lin, W., Tang, Y., Zhang, M., Liang, B., Wang, M., Zha, L., and Yu, Z. (2022). Front. Med. 9:894584. doi: 10.3389/fmed.2022.894584
In the published article, there was an error in the Funding statement “This study was supported by the National Natural Science Foundation of China (Nos. 8187011311, 81873416, and 8210012237) and the Key Research and Development Program of Hunan Province (2020SK2065).” The fund numbers (8187011311, 8210012237) were the initial acceptance numbers, not the final grant numbers. The correct Funding statement appears below.
Funding
This study was supported by the National Natural Science Foundation of China (Nos. 82070055, 81873416, and 82100071) and the Key Research and Development Program of Hunan Province (2020SK2065).
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.
Publisher's note
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Keywords: bioinformatic analysis, TXNRD1, pulmonary hypertension, biomarker, RRA, GEO
Citation: Lin W, Tang Y, Zhang M, Liang B, Wang M, Zha L and Yu Z (2022) Corrigendum: Integrated bioinformatic analysis reveals TXNRD1 as a novel biomarker and potential therapeutic target in idiopathic pulmonary arterial hypertension. Front. Med. 9:1116599. doi: 10.3389/fmed.2022.1116599
Received: 05 December 2022; Accepted: 06 December 2022;
Published: 15 December 2022.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2022 Lin, Tang, Zhang, Liang, Wang, Zha and Yu. 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: Zaixin Yu, eXV6YWl4aW4mI3gwMDA0MDsxMjYuY29t; Lihuang Zha, emhhbGlodWFuZyYjeDAwMDQwO2NzdS5lZHUuY24=