Neuregulin 1-alpha regulates phosphorylation, acetylation, and alternative splicing in lymphoblastoid cells
Bibliographic record
Abstract
Neuregulins (NRGs) are signaling molecules involved in various cellular and developmental processes. Abnormal expression and (or) genomic variations of some of these molecules, such as NRG1, have been associated with disease conditions such as cancer and schizophrenia. To gain a comprehensive molecular insight into possible pathways/networks regulated by NRG1-alpha, we performed a global expression profiling analysis on lymphoblastoid cell lines exposed to NRG1-alpha. Our data show that this signaling molecule mainly regulates coordinated expression of genes involved in three processes: phosphorylation, acetylation, and alternative splicing. These processes have fundamental roles in proper development and function of various tissues including the central nervous system (CNS)--a fact that may explain conditions associated with NRG1 dysregulations such as schizophrenia. The data also suggest NRG1-alpha regulates genes (FBXO41) and miRNAs (miR-33) involved in cholesterol metabolism. Moreover, RPN2, a gene already shown to be dysregulated in breast cancer cells, is also differentially regulated by NRG1-alpha treatment.
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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".