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Calcein and the Labile Iron Pool.

2006· article· en· W2546644490 on OpenAlexaff
Shan Soe-Lin, Joan L. Buss, Evelyn Tang, Prem Ponka

Bibliographic record

VenueBlood · 2006
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsMcGill University
Fundersnot available
KeywordsCalceinChemistryFerritinCytosolBiophysicsBiochemistryTransferrin receptorFluorescenceTransferrinOxidative stressDeferoxamineCompartment (ship)RedoxEnzymeBiologyInorganic chemistryMembrane

Abstract

fetched live from OpenAlex

Abstract The labile iron pool is a putative cytosolic compartment of loosely bound, redox-active, chelator-accessible iron. Iron contained within this pool is thought to influence the activity of iron regulatory proteins (IRPs), which bind to iron response elements (IRE) during low iron conditions; this association blocks the translation of ferritin mRNA, and stabilizes transferrin receptor mRNA. High levels of labile iron have been shown to promote oxidative stress. As this pool has such profound effects upon cellular iron homeostasis, there has been great interest in the development of methods to measure labile iron. Calcein, a fluorescent iron chelator, has been widely used to monitor the labile iron pool. When the non-fluorescent acetoxymethyl ester moiety (calcein-AM), enters cells, it is immediately cleaved by cytosolic esterases to its cell-impermeable, fluorescent calcein form. Iron binding to calcein quenches its fluorescence, which can subsequently be recovered following the loss of its iron to a stronger chelator. The difference in fluorescence between the bound and unbound calcein forms is thought to be proportional to the labile iron pool itself. While this method has been commonly exploited, it is unknown whether calcein may over-estimate the size of the labile pool by stripping iron from sources where it may be loosely bound, or by intercepting iron during its passage from one compartment to another. Although it is believed that calcein exerts very little direct influence on cellular iron homeostasis and acts only as a passive sensor of labile iron, some recent evidence from our lab indicates that this may not be the case. We have observed that incubation with calcein results in the activation of IRP-2 and stabilization of HIF-1α, a potent physiological regulator governing the expression of genes involved in oxygen sensing and iron metabolism. Furthermore, we have found that the size of the labile iron pool as measured by calcein was proportional to the amount of calcein loaded in HeLa and K562 cell lines. These findings suggest that calcein may be able to perturb cellular iron homeostasis, and may not accurately reflect the size of the labile iron pool. While calcein may still be used for comparative purposes under identically controlled conditions, its usefulness as a quantifying agent should be regarded with caution.

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: none
Teacher disagreement score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.004
GPT teacher head0.210
Teacher spread0.207 · 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

Citations2
Published2006
Admission routes1
Has abstractyes

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