Spatio‐temporal distribution of cellular retinol‐binding protein gene transcripts (<i>CRBPI</i> and <i>CRBPII</i>) in the developing and adult zebrafish (<i>Danio rerio</i>)
Bibliographic record
Abstract
We have cloned and determined the nucleotide sequence of the cDNA coding for a cellular retinol-binding protein type I (CRBPI) from zebrafish. The deduced amino acid sequence of the zebrafish CRBPI showed highest sequence identity ( approximately 59%) to the mammalian CRBPIs of the intracellular lipid-binding protein (iLBP) multigene family. Phylogenetic analysis clustered the zebrafish CRBPI to the CRBPI clade. The zebrafish CRBPI gene (rbp1) and CRBPII gene (rbp2) both consist of four exons separated by three introns, identical to all other iLBP genes in vertebrates. Two transcription start sites were identified in the rbp1 promoter and a single transcription start site was identified for rbp2. Radiation hybrid mapping assigned the zebrafish rbp1 gene to linkage group 16 and conserved syntenic genes were found by comparative analysis of mammalian orthologous rbp1 genes. RT-PCR detected mRNA transcripts in the adult intestine, liver, brain, ovary and testis for rbp1 gene and in the intestine and liver for rbp2 gene. Whole mount in situ hybridization of zebrafish embryos revealed rbp1 mRNA expression in the developing zebrafish central nervous system at specific sites that are known to have abundant retinoic acid distribution and significant retinoic acid action. Whole mount in situ hybridization also showed that the zebrafish rbp2 mRNA was localized specifically in the embryonic intestinal bulb and the developing intestine during the larval stage, implying a novel function for the rbp2 gene product during organogenesis and development of the zebrafish intestine.
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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 | 0.000 | 0.000 |
| 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".