A zebrafish model of crim1 loss of function has small and misshapen lenses with dysregulated clic4 and fgf1b expression
Bibliographic record
Abstract
Introduction Heterozygous deletions predicting haploinsufficiency for the Cysteine Rich Motor Neuron 1 (CRIM1) gene have been identified in two families with macrophthalmia, colobomatous, with microcornea (MACOM), an autosomal dominant trait. Crim1 encodes a type I transmembrane protein that is expressed at the cell membrane of lens epithelial and fiber cells at the stage of lens pit formation. Decreased Crim1 expression in the mouse reduced the number of lens epithelial cells and caused defective adhesion between lens epithelial cells and between the epithelial and fiber cells. Methods We present three patients with heterozygous deletions and truncating variants predicted to result in haploinsufficiency for CRIM1 as further evidence for the role of this gene in eye defects, including retinal coloboma, optic pallor, and glaucoma. We used Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/Cas9 to make a stable Danio rerio model of crim1 deficiency, generating zebrafish that were homozygous for a 2 basepair deletion, c.339_340delCT p.Leu112Leufs*, in crim1. Results Homozygous, crim1−/− larvae demonstrated smaller eyes and small and misshapen lenses compared to controls, but we did not observe colobomas. Bulk RNA-Seq using dissected eyes from crim1−/− larvae and controls at 72 h post fertilization showed significant downregulation of crim1 and chloride intracellular channel 4 (clic4) and upregulation of fibroblast growth factor 1b (fgf1b) and complement component 1, q subcomponent (c1q), amongst other dysregulated genes. Discussion Our work strengthens the association between haploinsufficiency for CRIM1 and eye defects and characterizes a stable model of crim1 loss of function for future research.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".