| Autor: |
Gaia Andreoletti, Cristina M. Lanata, Laura Trupin, Ishan Paranjpe, Tia S. Jain, Joanne Nititham, Kimberly E. Taylor, Alexis J. Combes, Lenka Maliskova, Chun Jimmie Ye, Patricia Katz, Maria Dall’Era, Jinoos Yazdany, Lindsey A. Criswell, Marina Sirota |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Communications Biology, Vol 4, Iss 1, Pp 1-13 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2399-3642 |
| DOI: |
10.1038/s42003-021-02000-9 |
| Popis: |
Gaia Andreoletti et al. leverage cell-sorted RNA-seq data and machine learning to investigate gene expression patterns in immune cell subtypes purified from Asian and White patients with a medical diagnosis of systemic lupus erythematosus (SLE). They report distinct clinical subtypes of SLE and identify ethnicity- and disease-specific gene clusters, potentially contributing toward the future development of personalized therapeutic strategies for patients with SLE. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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