Mimicking the LOX-Related Autosomal Recessive Congenital Ichthyosis Skin Disease Using a CRISPR-Cas9 System and Unravelling 12S-LOX Function in the Skin
Bibliographic record
Abstract
(SC) formation in the human epidermis requires lipid processing. Lipoxygenases (LOXs) such as 12R-Lipoxygenase (12R-LOX) and Epidermis-type lipoxygenase 3 (eLOX-3) contribute to this process. Mutations in their genes cause Autosomal Recessive Congenital Ichthyosis (ARCI) in patients. On the other hand, 12S-lipoxygenase (12S-LOX) is expressed in the human epidermis, but its role still remains to be clarified. The involvement of eLOX-3, 12R, and 12S-LOX in conditions or processes such as skin photodamage, wound healing, psoriasis, and atopic dermatitis is suggested but still remains unclear. In order to eventually gain a better understanding of the role of these LOXs in such processes, models of Tissue-Engineered Skins (TESs) with an impaired expression for the native form of either eLOX-3, 12R-LOX, or 12S-LOX were produced using CRISPR-Cas9(D10A) technology. All three models showed impaired keratinocyte differentiation and changes in the prevalence or the size of lipid droplets within the most superficial layers, thus reproducing features observed in ARCI and supporting a role for 12S-LOX in SC formation. Since eLOX-3 and 12R-LOX depleted TES's reproduced features observed in ARCI, such models can be considered as reliable tools for the functional studies of these LOXs in the human epidermis.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".