FACS for the isolation of individual cells from transgenic mice harboring a fluorescent protein reporter
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Flow cytometry is extensively used for the isolation of discreet populations of cells from complex pools. The advent of autofluorescent (AFP) reporters such as wild type Green Fluorescent Protein (wtGFP) (Chalfie et al., 1994) and its variants, including enhanced green fluorescent protein (EGFP) and enhanced yellow fluorescent protein (EYFP) (Cormack et al., 1996), as vital reporters opens up the possibility of sorting live reporter-expressing cells. Moreover the use of these reporters in transgenics (Okabe et al., 1997) or mice carrying homologously targeted loci (Godwin et al., 1998) should enable the direct isolation of reporter-expressing cells from any desired lineage. Here we have assessed this approach in transgenic mice. ES cell-mediated transgenesis was used for generating a line of mice that express an autofluorescent EYFP reporter in the heart and part of the neural tube at midgestation. Pools of fluorescent cells harboring and expressing the EYFP reporter were isolated from defined regions of embryos and their origin confirmed by assaying the expression of domain-defined marker genes. Such a tool should prove useful for gaining access to any given lineage that can be fluorescent protein reporter tagged.
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.
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 | 0.000 | 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) | 0.000 | 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 it