Bibliographic record
Abstract
Bcl-2 associated factor 1 (Bclaf1; previously known as Btf) is a nuclear protein\nthat was originally identified as an interacting partner for the adenoviral anti-apoptotic Bcl-2 family member E1B-19K. Surprisingly, Bclaf1 does not share structural homology with the Bcl-2 family of proteins, but rather exhibits protein structure and subcellular distribution patterns reminiscent of proteins that regulate mRNA processing. In addition,\nBclaf1 appears to be expressed at high levels in skeletal muscle and was recently shown to associate with emerin, a protein linked to muscular dystrophy. Despite these\nobservations, roles for Bclaf1 in RNA processing and/or skeletal muscle differentiation remain to be elucidated.\nIn an effort to identify new roles for Bclaf1 I conducted protein-protein\ninteraction screens to identify candidate interacting proteins and pathways. I identified p32 and 9G8 as novel interacting partners for Bclaf1. Additional subsequent experiments demonstrated an interaction of Bclaf1 with tip associated protein (Tap) and association of Bclaf1 with ribonucleoprotein complexes. Given that all of these proteins have been linked to mRNA processing, a role for Bclaf1 in this pathway was investigated. Using several approaches, I demonstrated that Bclaf1 is able to associate with splicing complexes and mRNA species at various stages of processing. The function of Bclaf1 in the context of skeletal muscle differentiation was also explored using skeletal muscle cell lines and primary mouse myoblasts. Skeletal muscle differentiation led to a dramatic decrease in nuclear Bclaf1 steady-state protein, with the unexpected appearance of smaller Bclaf1 protein species that accumulated in the cytoplasm during differentiation due to cleavage by caspases. Furthermore, Bclaf1 depletion in a myoblast cell line led to increased myoblast fusion and myofiber dimensions during differentiation. Overall our findings indicate roles for Bclaf1 in the skeletal muscle differentiation program and in molecular events that regulate pre-mRNA splicing and related events.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".