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Record W1509230264 · doi:10.1038/89937

Fanconi anemia group C protein prevents apoptosis in hematopoietic cells through redox regulation of GSTP1

2001· article· en· W1509230264 on OpenAlexaff
Robert C. Cumming, Jeff Lightfoot, K Beard, Hagop Youssoufian, Peter J. O’Brien, Manuel Buchwald

Bibliographic record

VenueNature Medicine · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGlutathione Transferases and Polymorphisms
Canadian institutionsUniversity of TorontoHospital for Sick Children
Fundersnot available
KeywordsFanconi anemiaGSTP1ApoptosisHaematopoiesisBiologyProgenitor cellCancer researchFANCD2Cell biologyGlutathioneBiochemistryDNA repairStem cellEnzymeDNA

Abstract

fetched live from OpenAlex

The Fanconi anemia group C protein (FANCC) plays an important role in hematopoiesis by ensuring the survival of hematopoietic progenitor cells through an unknown mechanism. We investigated the function of FANCC by identifying FANCC-binding proteins in hematopoietic cells. Here we show that glutathione S-transferase P1-1 (GSTP1) interacts with FANCC, and that overexpression of both proteins in a myeloid progenitor cell line prevents apoptosis following factor deprivation. FANCC increases GSTP1 activity after the induction of apoptosis. GSTP1 is an enzyme that catalyzes the detoxification of xenobiotics and by-products of oxidative stress, and it is frequently upregulated in neoplastic cells. Although FANCC lacks homology with conventional disulfide reductases, it functions by preventing the formation of inactivating disulfide bonds within GSTP1 during apoptosis. The prevention of protein oxidation by FANCC reveals a novel mechanism of enzyme regulation during apoptosis and has implications for the treatment of degenerative diseases with thiol reducing agents.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.006
GPT teacher head0.249
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), 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

Citations247
Published2001
Admission routes1
Has abstractyes

Explore more

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