Evidence That E-Box Promoter Elements and MyoD Transcription Factors Play a Role in the Induction of Cathepsin B Gene Expression during Human Myoblast Differentiation
Bibliographic record
Abstract
HB13 human myoblasts express physiological and biochemical markers associated with myoblast differentiation in non-human cell culture model systems. During differentiation, HB13 myoblasts also demonstrate fusion-related increases in cathepsin B activity and protein levels. These increases are associated with an increase in levels of cathepsin B mRNA suggesting the involvement of transcriptional regulatory mechanisms. To examine these mechanisms human myoblasts were transfected with cathepsin B nested deletion promoter constructs within the 1.8 kb 5' promoter 1 region of the human catB gene. Transfected myoblasts that were maintained under differentiating conditions demonstrated higher promoter activity than those maintained in proliferating conditions. The highest activity was obtained with pSCB2-3 (-1279/+56 bp), a construct containing two putative upstream E-box elements. Co-transfection experiments demonstrated that MyoD and myogenin transactivate cathepsin B promoter activity. Electrophoretic mobility shift assays of nuclear extracts incubated with an oligonucleotide containing two upstream E-box elements found within the cathepsin B promoter demonstrated two band shifts. The band shifts were abolished using an oligonucleotide with mutations in both E-box elements. Moreover, the shifted bands were super-shifted and abolished when incubated with anti-myogenin and anti-MyoD, respectively. Collectively, these data support myogenic transcription factor-mediated activation of cathepsin B expression during myogenesis.
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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) | 0.002 | 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".