MétaCan
Menu
Back to cohort
Record W2070968175 · doi:10.1002/jcb.22870

Identification of new modulators and protein alterations in non‐apoptotic programmed cell death

2010· article· en· W2070968175 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Cellular Biochemistry · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCell death mechanisms and regulation
Canadian institutionsOttawa Hospital
FundersNational Institute on AgingNational Institutes of Health
KeywordsProgrammed cell deathApoptosisProteomeCell biologyMitochondrionProteomicsBiologyChemistryCellBiochemistry

Abstract

fetched live from OpenAlex

This study describes the first proteomic analysis of paraptosis--a non-apoptotic form of programmed cell death. As with apoptosis, the first description of paraptosis was based on morphological criteria. Since there are no known markers for paraptosis, the purpose of this study was to dissect changes in the proteome profile occurring during paraptosis. Using one- and two-dimensional SDS-PAGE, Western analysis, and mass spectrometry, we show that during paraptosis, alterations occur mainly in cytoskeletal proteins, signal transduction proteins, mitochondrial proteins, and some metabolic proteins. We also report the identification of: (1) a paraptosis inhibitor, phosphatidylethanolamine binding protein (PEBP-1), and (2) a candidate mediator of paraptosis, prohibitin. Identification of specific paraptotic changes will ultimately lead to tools to detect this type of programmed cell death in in vivo systems and allow for its further characterization.

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.

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 score0.004
Threshold uncertainty score0.426

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 head0.005
GPT teacher head0.220
Teacher spread0.216 · 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