mouse models that enhanced our understanding of adult t cell leukemia
Clicks: 223
ID: 169039
2018
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Emerging Content
30.0
/100
223 views
22 readers
AI Quality Assessment
Not analyzed
Readership in this journal
EmergingRanked #704 of 875 articles by views in journal of magnetic resonance (san diego, calif : 1997)
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 875 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Adult T cell Leukemia (ATL) is an aggressive lymphoproliferative malignancy secondary to infection by the human T-cell leukemia virus type I (HTLV-I) and is associated with a dismal prognosis. ATL leukemogenesis remains enigmatic. In the era of precision medicine in oncology, mouse models offer one of the most efficient in vivo tools for the understanding of the disease biology and developing novel targeted therapies. This review provides an up-to-date and comprehensive account of mouse models developed in the context of ATL and HTLV-I infection. Murine ATL models include transgenic animals for the viral proteins Tax and HBZ, knock-outs for key cellular regulators, xenografts and humanized immune-deficient mice. The first two groups provide a key understanding of the role of viral and host genes in the development of ATL, as well as their relationship with the immunopathogenic processes. The third group represents a valuable platform to test new targeted therapies against ATL.
| Reference Key |
moodad2018frontiersmouse
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | ;Sara Moodad;Sara Moodad;Abdou Akkouche;Rita Hleihel;Nadine Darwiche;Marwan El-Sabban;Ali Bazarbachi;Ali Bazarbachi;Hiba El Hajj;Hiba El Hajj |
| Journal | journal of magnetic resonance (san diego, calif : 1997) |
| Year | 2018 |
| DOI |
10.3389/fmicb.2018.00558
|
| URL | |
| Keywords |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.