 |
| Image via Wikipedia |
Anchoring fibrils are polymers of Type VII collagen that connects basement membrane of the skin to the dermal connective tissue. Abnormalities of anchoring fibrils lead to a group of disparate and debilitating disorders called dystrophic epidermolysis bullosa (DEB). The mutation analyses and studies on genotype-phenotype correlations in epidermolysis bullosa have revealed an unusual complexity of the gene defects and their biological consequences. I even tried machine learning techniques to make sense of this complex genotype – phenotype correlation in the simplex variant.
The article below demonstrates the use of nanofibers to stabilise anchorage-dependant animal cells. The current emphasis is on finding a gene therapy treatment approach for this condition. May be a biophysical approach as below can also be tried!
“Biotechnol Lett. 2011 Dec 30.
Efficient formation of cell spheroids using polymer nanofibers.
Shin JY, Park J, Jang HK, Lee TJ, La WG, Bhang SH, Kwon IK, Kwon OH, Kim BS.
Spheroid culture has been used for suspension cultures of anchorage-dependent
cells. In this study, we developed a new method for the suspension cultures of
anchorage-dependent animal cells using polymer nanofibers.
Poly(lactic-co-glycolic acid) nanofibers (785 nm in average fiber-diameter, 88 μm
in average fiber-length) fabricated by the electrospinning method were added to
each suspension culture of human embryonic kidney 293 cells and human dermal
fibroblasts.“
Related articles
- Silkworms may help repair damaged hearts (gizmag.com)
- Natural Gene Therapy in Dystrophic Epidermolysis Bullosa [Observation] (archderm.ama-assn.org)
AI, machine learning & digital health consultant at SkinHelpDesk
Techie Dermatologist, Information Systems PhD, Supporter of Open-Source Software, Machine Learning and AI geek,loves cricket, Canadian wine and beer. [Resume]
Latest posts by Bell Eapen (see all)
- Machine learning-based BOTOX API - April 11, 2023
- Skinmesh: Machine learning for facial analysis - November 10, 2020
- Free Dermatology EMR for Machine Learning and Artificial Intelligence - January 2, 2020
Leave a Reply