Alternate transcripts expressed in response to diet reflect tissue-specific regulation of ABCA1
Bibliographic record
Abstract
ABCA1 is essential for the transport of lipids across plasma membranes and for the maintenance of plasma HDL-cholesterol levels. The transcriptional regulation of ABCA1 is complex and is currently poorly understood. We previously generated human ABCA1 bacterial artificial chromosome transgenic mice that expressed RNA and protein, which allowed us to identify three alternate ABCA1 transcripts. Each transcript arises from different exon 1 sequences (exon1b, exon1c, and exon1d) that are spliced directly into exon 2, which contains the ATG site, and all generate full-length protein. We have now determined the tissue-specific expression of each of these transcripts in humans and mice and have shown that their patterns of expression are similar. Exon1d transcript is predominantly expressed in liver and macrophages and is preferentially increased in the liver in response to a high-fat diet. The exon1b transcript is expressed predominantly in liver, testis, and macrophages, but it is only upregulated in macrophages in response to a high-fat diet. The exon1c transcript is ubiquitously expressed and is upregulated in the brain, stomach, and other tissues in mice on a high-fat diet. Our data indicate that specific transcripts in different tissues play key roles in alterations of ABCA1-mediated changes in HDL levels and atherosclerosis in response to environmental stimuli.
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 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 | 0.006 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".