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Record W2085419121 · doi:10.1021/bi052307m

Distinct Targeting and Recycling Properties of Two Isoforms of the Iron Transporter DMT1 (NRAMP2, Slc11A2)<sup>†</sup>

2006· article· en· W2085419121 on OpenAlexafffund
Steven Lam-Yuk-Tseung, Philippe Gros

Bibliographic record

VenueBiochemistry · 2006
Typearticle
Languageen
FieldMedicine
TopicIron Metabolism and Disorders
Canadian institutionsMcGill University
FundersNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health ResearchMcGill University
KeywordsGene isoformDMT1EndosomeInternalizationEndocytosisAlternative splicingTransferrinCell biologyChemistryBiochemistryTransport proteinIron-binding proteinsBiologyTransporterReceptorGene

Abstract

fetched live from OpenAlex

The metal transporter DMT1 (Slc11a2) plays a vital role in iron metabolism. Alternative splicing of the 3' exon generates two DMT1 isoforms with different C-terminal protein sequences and a 3' untranslated region harboring (isoform I, +IRE) or not (isoform II, -IRE), an iron-responsive element. Isoform I is expressed at the plasma membrane of certain epithelial cells including the duodenum brush border, where it is essential for the absorption of nutritional iron. Isoform II is expressed in many cells and is essential for the acquisiton of transferrin iron from acidified endosomes. The targeting and trafficking properties of DMT1 isoforms I and II were studied in transfected LLC-PK(1) kidney cells, with respect to isoform-specific differences in function, subcellular localization, endocytosis kinetics, and fate upon internalization. Isoform I showed higher surface expression and was internalized from the plasma membrane with slower kinetics than that of isoform II. As opposed to isoform II, which is efficiently sorted to recycling endosomes upon internalization, isoform I was not efficiently recycled and was targeted to lysosomes. Thus, alternative splicing of DMT1 critically regulates the subcellular localization and site of Fe(2+) transport.

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 score0.094
Threshold uncertainty score0.338

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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

Citations70
Published2006
Admission routes2
Has abstractyes

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