| Autor: |
Richard I. Ainsworth, Deepa Hammaker, Gyrid Nygaard, Cecilia Ansalone, Camilla Machado, Kai Zhang, Lina Zheng, Lucy Carrillo, Andre Wildberg, Amanda Kuhs, Mattias N. D. Svensson, David L. Boyle, Gary S. Firestein, Wei Wang |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Zdroj: |
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022) |
| Druh dokumentu: |
article |
| ISSN: |
2041-1723 |
| DOI: |
10.1038/s41467-022-33785-w |
| Popis: |
Fibroblast-like synoviocytes (FLS) are used as a model of rheumatoid arthritis synoviocytes, although cell lines derived from individual patients can have heterogeneous biology. Here the authors use a Taiji computational approach to analyze gene expression, chromatin accessibility and functional differences between individual patient-derived RA FLS lines. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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