Mouse in red: Red fluorescent protein expression in mouse ES cells, embryos, and adult animals
Bibliographic record
Abstract
Spectral variants of green fluorescent protein are widely used in live samples for a broad range of applications: from visualization of protein interactions, through following gene expression, to marking particular cells in complex tissues. Higher wavelength emissions (such as red) are preferred due to the lower background-autofluorescence in tissues (Miyawaka et al., Nat Cell Biol Suppl S1-7, 2003). Until now, however, red fluorescent proteins (RFP) have displayed toxicity in murine embryos, which has hampered its application in this model. Here we report strong expression of a recently developed RFP variant, DsRed.T3, in mouse ES cells, embryos, and adult mice. Our results show that the red fluorescent wavelength has a superior tissue penetrance compared with spectral variants of lower wavelength. Furthermore, we have generated an ES cell line and a corresponding transgenic mouse line in which red fluorescence is activated upon Cre excision. Finally, we introduced cell type-specifically expressed Cre transgenes into this Cre recombinase reporter cell line, and by using the tetraploid embryo complementation assay, we could directly verify the Cre recombinase specificity on ES cell-derived embryos/animals.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.010 |
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".