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Record W1930968 · doi:10.2144/oct0211

Isolation of Acetylcholinesterase from Apoptotic Human Lung Fibroblast Cells by Antibody Affinity Chromatography

2002· article· en· W1930968 on OpenAlexaff
Qi-Huang Jin, Yufang Shi, Heng-Yi He, Kelvin K.W. Ng, Hua Jiang, Lei Yang, Zi-Qing Jiang, Xuejun Zhang

Bibliographic record

VenueBioTechniques · 2002
Typearticle
Languageen
FieldMedicine
TopicCholinesterase and Neurodegenerative Diseases
Canadian institutionsInstitute for Biological Sciences
FundersNational Cancer InstituteNational Institutes of HealthNational Natural Science Foundation of China
KeywordsAcetylcholinesteraseAffinity chromatographyCholinergicApoptosisMolecular biologyCell cultureAchéBiologyTacrineFibroblastAcetylcholineBiochemistryChemistryEnzymeCell biologyIn vitroPharmacologyEndocrinology

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.014
Threshold uncertainty score0.858

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.299
Teacher spread0.279 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations8
Published2002
Admission routes1
Has abstractyes

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