Regulator of Calcineurin 1 Gene Transcription is Regulated by Nuclear Factor-kappaB
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
Regulator of calcineurin 1 (RCAN1) has been implicated in pathogenesis of neurodegeneration and various cancers. Recently, we showed that RCAN1 expression was elevated in Down Syndrome and Alzheimer's disease and its expression transpose over induced neuronal apoptosis. As NF-κB is an important transcription factor involved in cell survival and RCAN1 played vital roles in cell viability, we examined whether NF-κB regulates RCAN1 gene expression. Our results here showed that the RCAN1 isoform 4 gene transcription can be activated by NF-κB signaling. NF-κB activated RCAN1 isoform 4 gene promoter. Luciferase assay, electrophoretic mobility shift assay (EMSA) and chromatin immunoprecipitation identified a NF-κB responsive element in the region of -576-554bp of the RCAN1 isoform 4 promoter. Activation of RCAN1 gene expression by NF-κB is independent from the calcineurin-NFAT signaling since the NF-κB responsive element was distinct from the NFAT binding sites that was previously identified in the region of -350-166bp. Indeed, activation of calcineurin-NFAT signaling decreased NF-κB transcriptional activity, while activation of NF-κB elevated NFAT transcriptional activity. RCAN1 isoform 4 gene transcription was repressed by its own protein expression in a negative feedback loop. Our findings about RCAN1 gene transcription regulated by NF-κB further supported the vital roles of RCAN1 in cellular functions and its involvement in AD pathogenesis.
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 | 0.001 | 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