Identification of Multiple Sclerosis key genetic factors through multi-staged data mining
•Mining through available multiple sclerosis expression data reveal novel findings.•MiRNA based gene-expression regulatory could affect the T-cell migration into BBB.•Targeting the obtained genetic factors may be effective to eliminate MS related signs.
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| Veröffentlicht in: | Multiple sclerosis and related disorders 2020-04, Vol.39, p.101446-101446, Article 101446 |
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| container_title | Multiple sclerosis and related disorders |
| container_volume | 39 |
| creator | Navaderi, Mohammad Rajaei, Saeideh Rahimirad, Samira Jafari Harandi, Aysan Ghaleh, Zahra Falahati, Kowsar Behgar, Zahra Sedigh, Alireza Mirzaee Sanati, Mohammad Hossein |
| description | •Mining through available multiple sclerosis expression data reveal novel findings.•MiRNA based gene-expression regulatory could affect the T-cell migration into BBB.•Targeting the obtained genetic factors may be effective to eliminate MS related signs. |
| doi_str_mv | 10.1016/j.msard.2019.101446 |
| format | Article |
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| source | Alma/SFX Local Collection |
| title | Identification of Multiple Sclerosis key genetic factors through multi-staged data mining |
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