Differential Transcriptional Regulation by Mouse Single-minded 2s
Bibliographic record
Abstract
Single-minded 1 and 2 are unique members of the basic helix-loop-helix Per-Arnt-Sim family as they are transcriptional repressors. Here we report the identification and transcriptional characterization of mouse Sim2s, a splice variant of Sim2, which is missing the carboxyl Pro/Ala-rich repressive domain. Sim2s is expressed at high levels in kidney and skeletal muscle; however, the ratio of Sim2 to Sim2s mRNA differs between these tissues. Similar to full-length Sim2, Sim2s interacts with Arnt and to a lesser extent, Arnt2. The effects of Sim2s on transcriptional regulation through hypoxia, dioxin, and central midline response elements are different than that of full-length Sim2. Specifically, Sim2s exerts a less repressive effect on hypoxia-induced gene expression than full-length Sim2, but is just as effective as Sim2 at repressing TCDD-induced gene expression from a dioxin response element. Interestingly, Sim2s bind to and activates expression from a central midline response element-controlled reporter through an Arnt transactivation domain-dependent mechanism. The differences in expression pattern, protein interactions, and transcriptional activities between Sim2 and Sim2s may reflect differential roles each isoform plays during development or in tissue-specific effects on other protein-mediated pathways.
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) | 0.000 | 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) | 0.001 | 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 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".