Author Correction: Identification of metabolism‑related key genes as potential biomarkers for pathogenesis of immune thrombocytopenia
Xiangmei Xu, Jiamin Zhang, Hongyun Xing, Liying Han, Xiaoming Li, Pengqiang Wu, Jirui Tang, Li Jing, Jie Luo, Jing Luo, Lin Liu

Abstract
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsPlatelet Disorders and Treatments · Myeloproliferative Neoplasms: Diagnosis and Treatment
Correction to: Scientific Reports 10.1038/s41598-024-59493-7, published online 19 April 2024.
The sub-section section “Date source” in the Methods section of the original version of this Article was incomplete.
“One study reported that clonal T-cell correlates of response and non-response to eltrombopag therapy according to blood transcriptome analysis in a cohort of patients with chronic immune^14^. The gene expression dataset GSE112278 was downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo), which is an open-source repository of next-generation sequencing data, hybridization arrays, chips, and microarrays^15^. The GSE112278 dataset comprised the sequencing data of peripheral blood samples of 17 patients with ITP and 7 healthy control subjects (download link: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE112278).”
now reads:
“One study reported that clonal T-cell correlates of response and non-response to eltrombopag therapy according to blood transcriptome analysis in a cohort of patients with chronic immune thrombocytopenia^14^. The gene expression datasets GSE112278 and GSE183073 were downloaded from the GEO database (http://www.ncbi.nlm.nih.gov/geo), which is an open- source repository of next-generation sequencing data, hybridization arrays, chips, and microarrays^15^. The download datasets were merged by combat method using R sva package. The merged dataset comprised the sequencing data of peripheral blood samples of 17 patients with ITP and 7 healthy control subjects (ITP patient dataset download link: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE112278 and healthy control dataset download link: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE183073). "
The original Article has been corrected.
