Transcriptomic analysis of immune cells in a multi-ethnic cohort of systemic lupus erythematosus patients identifies ethnicity- and disease-specific expression signatures
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 iden...
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| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
Nature Portfolio
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/7bed769c8e6e4805aebc706b9462c06e |
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| Sumario: | 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. |
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