Ablation of SAMD1 in Mice Causes Failure of Angiogenesis, Embryonic Lethality
Bibliographic record
Abstract
Abstract Pathological retention of LDL in the intima is involved in atherosclerosis, although the retention mechanisms are not well-understood. Previously, we reported Sterile Alpha Motif Domain Containing 1 (SAMD1), a protein secreted by intimal smooth muscle cells in atherosclerotic lesions, appears to bind LDL in extracellular matrix around intimal cells. Fab-fragment inhibitors of apparently irreversible SAMD1/LDL binding reduced LDL retention in carotid injury models, but did not have a significant effect on early spontaneous lesion development. Our histology of mouse atherosclerosis models revealed extensive SAMD1 expression, possibly related to cell phenotype modulation and antigen presentation. Although the normal function of SAMD1 is unknown, it may have multiple epigenetic roles. For this report, we generated SAMD1−/−, SAMD1−/+, and SAMD1−/+ apoE−/− mice to further explore SAMD1’s role in atherosclerosis. SAMD1 was found in tissues throughout the SAMD1+/+ and SAMD1−/+ embryos. Homozygous loss of SAMD1 was embryonic lethal: at embryonic day 14, organs were partially developed and/or degraded; heads and brains were malformed; no blood vessels were observed; red blood cells were scattered and pooled, primarily near the embryo surface; and cell death was occurring. Development appeared normal in heterozygous SAMD1 embryos, but postnatal genotyping showed a reduced ability to thrive. Growth of atherosclerotic lesions in SAMD1−/+ apoE−/− after 35 weeks was not significantly less than in mice SAMD1+/+ apoE−/− mice.
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 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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".