Isolation of Acetylcholinesterase from Apoptotic Human Lung Fibroblast Cells by Antibody Affinity Chromatography
Bibliographic record
Abstract
Acetylcholinesterase (AChE; EC3.1.1.7) is well known for its role in the hydrolysis of acetylcholine at cholinergic synapses to terminate neurotransmission. In addition to its synaptic presence, AChE has been found to be in non-cholinergic cells such as hematopoietic and osteogenic cells. We have recently reported that AChE is expressed in various cells undergoing apoptosis. To characterize AChE in apoptotic cells and to investigate the role of AChE expression in apoptosis, we devised a method to purify AChE expressed in apoptotic human lung fibroblast cell line HLF. The isolation of this enzyme is mainly based on inhibitor ligand affinity chromatography using immobilized tacrine. However, this method is only effective in isolating active AChE. Here we employed antibody-based chromatography and found that both active and inactive AChE were present in apoptotic HLF cells. Active AChE was predominantly observed in the nuclei of apoptotic cells, while inactive AChE was mainly present in the cytoplasm. Therefore, our method provides an opportunity to investigate further the role of AChE, especially inactive AChE, in apoptosis.
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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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".