A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy
Abstract Following the coronavirus disease 2019 (COVID-19) pandemic, the rise of long COVID, characterized by persistent respiratory and cognitive dysfunctions, has become a significant health concern. This leads to an increased role of complementary and alternative medicine in addressing this condi...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-01-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-025-04510-1 |
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| author | Karolina Hanna Prazanowska Tae-Hun Kim Jung Won Kang Young-Hee Jin Sunoh Kwon Su Bin Lim |
| author_facet | Karolina Hanna Prazanowska Tae-Hun Kim Jung Won Kang Young-Hee Jin Sunoh Kwon Su Bin Lim |
| author_sort | Karolina Hanna Prazanowska |
| collection | DOAJ |
| description | Abstract Following the coronavirus disease 2019 (COVID-19) pandemic, the rise of long COVID, characterized by persistent respiratory and cognitive dysfunctions, has become a significant health concern. This leads to an increased role of complementary and alternative medicine in addressing this condition. However, our comprehension of the effectiveness and safety of herbal medicines for long COVID remains limited. Here, we present a single-cell RNA sequencing (scRNA-seq) dataset of peripheral whole blood cells derived from participants in a clinical study involving three commercially available herbal medicines, targeting fatigue and brain fog in long COVID. The dataset comprises 181,205 quality control (QC)-passed cells, along with clinical metadata, enabling a comparative analysis of immune cell populations before and after treatment. To ensure the technical validity of our dataset, we implemented rigorous quality checks throughout stages of the study, including sample preparation, sequencing, and bioinformatic data analysis levels. This transcriptomic data may serve as a resource to deepen our insights into the role of herbal medicines in management of long COVID. |
| format | Article |
| id | doaj-art-4b9032bf1ff04918888d7a9ba51515af |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-4b9032bf1ff04918888d7a9ba51515af2025-02-02T12:08:19ZengNature PortfolioScientific Data2052-44632025-01-0112111210.1038/s41597-025-04510-1A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapyKarolina Hanna Prazanowska0Tae-Hun Kim1Jung Won Kang2Young-Hee Jin3Sunoh Kwon4Su Bin Lim5Department of Biochemistry & Molecular Biology, Ajou University School of MedicineKorean Medicine Clinical Trial Center, Korean Medicine Hospital, Kyung Hee UniversityDepartment of Acupuncture & Moxibustion, College of Korean Medicine, Kyung Hee UniversityKorean Medicine Application Center, Korea Institute of Oriental MedicineKorean Medicine Convergence Research Division, Korea Institute of Oriental MedicineDepartment of Biochemistry & Molecular Biology, Ajou University School of MedicineAbstract Following the coronavirus disease 2019 (COVID-19) pandemic, the rise of long COVID, characterized by persistent respiratory and cognitive dysfunctions, has become a significant health concern. This leads to an increased role of complementary and alternative medicine in addressing this condition. However, our comprehension of the effectiveness and safety of herbal medicines for long COVID remains limited. Here, we present a single-cell RNA sequencing (scRNA-seq) dataset of peripheral whole blood cells derived from participants in a clinical study involving three commercially available herbal medicines, targeting fatigue and brain fog in long COVID. The dataset comprises 181,205 quality control (QC)-passed cells, along with clinical metadata, enabling a comparative analysis of immune cell populations before and after treatment. To ensure the technical validity of our dataset, we implemented rigorous quality checks throughout stages of the study, including sample preparation, sequencing, and bioinformatic data analysis levels. This transcriptomic data may serve as a resource to deepen our insights into the role of herbal medicines in management of long COVID.https://doi.org/10.1038/s41597-025-04510-1 |
| spellingShingle | Karolina Hanna Prazanowska Tae-Hun Kim Jung Won Kang Young-Hee Jin Sunoh Kwon Su Bin Lim A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy Scientific Data |
| title | A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy |
| title_full | A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy |
| title_fullStr | A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy |
| title_full_unstemmed | A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy |
| title_short | A single-cell RNA sequencing dataset of peripheral blood cells in long COVID patients on herbal therapy |
| title_sort | single cell rna sequencing dataset of peripheral blood cells in long covid patients on herbal therapy |
| url | https://doi.org/10.1038/s41597-025-04510-1 |
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