Immunodetecting Members of the Bcl-2 Family of Proteins
Bibliographic record
Abstract
The Bcl-2 family of proteins centrally regulates the cellular commitment to apoptosis (programmed cell death). Apoptosis, in turn, is critical for the development and homeostasis of multicellular organisms, and defects in apoptosis contribute to a broad range of human diseases and disorders. Consequently, studying the regulation of Bcl-2 and its homologs has significant implications for biomedical research. The mechanisms by which Bcl-2 family members regulate apoptosis are complex, and include variations in intracellular protein levels, direct protein-protein interactions, conformational changes, and subcellular redistribution. Therefore, all of these factors should be considered when assessing how one, or a group, of these proteins contributes to a cell's commitment to apoptosis. The methods described in this chapter will allow the researcher to gain a greater understanding of how intracellular levels of multiple members of the Bcl-2 protein family can be analyzed simultaneously by immunoblotting and how protein-protein interactions can be studied using immunoprecipitation techniques. In addition, the methodology describes how conformational changes can be observed by immunofluorescence and immunoprecipitation, and how subcellular redistribution of Bcl-2 homologs can be followed.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".