Targeted expression of a human pituitary tumor–derived isoform of FGF receptor-4 recapitulates pituitary tumorigenesis
Bibliographic record
Abstract
MethodsCharacterization of human pituitary tissues.Pituitary tumors were obtained at surgery.Normal pituitary tissue was obtained at autopsy within 6 hours postmortem.Each tissue sample was divided, and one portion was fixed in formalin and embedded in paraffin for detailed histologic and immunohistochemical analysis.The second piece was snap-frozen in liquid nitrogen and stored at -70C.RT-PCR analysis of mRNA.Total RNA was extracted by the guanidinium isothiocyanate method.One microgram of DNase-treated RNA was reverse-transcribed using 2.5 U/ml of murine leukemia virus reverse transcriptase, 2.5 mM MgCl 2 , 1 mM dNTP, 2.5 mM random hexamers, and 1 U/ml RNase inhibitor.The integrity of RNA of each sample was assessed by amplification of the PGK-1 gene.The human breast cancer MCF-7 cell line, which expresses FGFR4 (18) was used as a positive control for FGFR4 analysis.PCR analyses of FGFR4 mRNA were performed with the following sense primers: exon 1 (5-TCGGGCTGTCTGCGGACCCTG-3), exon 2 codons 73-93 (5-CCTGTTGGGGGTCCTGCTGAGTGTG-3), exon 4 codons 478-490 (5-CTTGCTGGGGGTACCT-GTGCCTATT-3), exon 5 codons 539-558 (5-TACCT-GCGGGGAACACCGTC-3), exon 6 codons 658-679 (5-CTGCGCCATCAGCACTGGAGT-3), exon 6 codons 726-744 (5-GCCTGGTAGAGAACGCTGT-3), and exon 6 codons 745-767 (5-GGCAGCATCCGCTATAACTAC-CTGC-3).The antisense primers used were exon 11 codons1536-1557 (5-CTGACCAAGCCAGCACTGTG-GC-3), and exon 18 codons 2441-2461 (5-TCGGGTCTGGGGTGCAGACA-3).The identity of all PCR products was verified by sequencing using an automated sequencer.Northern blot analysis of mRNA.Twenty micrograms of DNase-treated RNA was electrophoresed on a 1% agarose gel, transferred to a nitrocellulose membrane, fixed with a UV crosslinker, prehybridized, and
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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 teacher head, 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".