Transcriptome analysis of skeletal muscle in dermatomyositis, polymyositis, and dysferlinopathy, using a bioinformatics approach
Ha-Neul Jeong, Taek Gyu Lee, Hyung Jun Park, Young Yang, Seung-Hun Oh, Seong-Woong Kang, Young-Chul Choi · 2023
Read Transcriptome analysis of skeletal muscle in dermatomyositis, polymyositis, and dysferlinopathy, using a bioinformatics approach by Ha-Neul Jeong, Taek Gyu Lee, Hyung Jun Park, Young Yang, Seung-Hun Oh, Seong-Woong Kang, Young-Chul Choi (2023) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-10731051.txt.
Description
Jeong and co-authors compare gene activity in muscle across three diseases that can look much alike, in a paper from two thousand twenty-three. Two of them, dermatomyositis and polymyositis, come from the body turning on its own muscle. The third, dysferlinopathy, is passed down in families, but its swollen muscle often leads doctors to call it polymyositis by mistake.
The team read RNA from muscle samples: seven cases of the first disease, eight of the second, eight of the third, and five healthy controls. Changed genes came to 1,048 in dermatomyositis, 179 in polymyositis, and 3,807 in dysferlinopathy. In dermatomyositis, the raised genes tied to type one interferon signals. Maps of how the proteins link up then flagged hub genes for each disease. Such contrasts may help doctors tell these diseases apart and point the way to new cures.
Catalog record
| CREATOR | Ha-Neul Jeong, Taek Gyu Lee, Hyung Jun Park, Young Yang, Seung-Hun Oh, Seong-Woong Kang, Young-Chul Choi |
|---|---|
| YEAR | 2023 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 43 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |