Acf7 (MACF) is an actin and microtubule linker protein whose expression predominates in neural, muscle, and lung development
Bibliographic record
Abstract
Several proteins belonging to the plakin family of cytoskeletal linker proteins have recently been identified, including dystonin/Bpag1 and plectin. These proteins are unique in their abilities to form bridges between different cytoskeletal elements through specialized modular domains. We have previously reported the cloning and partial characterization of Acf7, a novel member of the plakin family. More recently, the full-length cDNA for mouse Acf7 has been reported. Acf7 has a hybrid composition, with extended homology to dystonin/Bpag1 and plectin in the N-terminal half, and to dystrophin in the central and C-terminal half. Recent studies have demonstrated that Acf7 has functional actin and microtubule binding domains. Here, we describe the developmental expression profile for mouse Acf7. RNA in situ hybridization experiments revealed Acf7 transcripts in the dermomyotome and neural fold of day 8.5 mouse embryos. Later in development, Acf7 expression was predominant in neural and muscle tissues and was strongly up-regulated just before birth in type II alveolar cells of the lung. Altogether, our results suggest that Acf7 functions as a versatile cytoskeletal linker protein and plays an important role in neural, muscle, and lung development.
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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 | 0.001 | 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 | 0.001 |
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".