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Record W2944455963 · doi:10.1016/j.celrep.2019.04.034

The Ion Transporter NKCC1 Links Cell Volume to Cell Mass Regulation by Suppressing mTORC1

2019· article· en· W2944455963 on OpenAlexafffund
Wael L. Demian, Avinash K. Persaud, Chong Jiang, Étienne Coyaud, Shixuan Liu, András Kapùs, Ran Kafri, Brian Raught, Daniela Rotin

Bibliographic record

VenueCell Reports · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmino Acid Enzymes and Metabolism
Canadian institutionsSt. Michael's HospitalSickKids FoundationUniversity of TorontoUniversity Health NetworkPrincess Margaret Cancer CentreHospital for Sick Children
FundersCanadian Institutes of Health ResearchCanada Research ChairsCystic Fibrosis CanadaCanada Foundation for InnovationCommon Fund for CommoditiesCRC Health Group
KeywordsmTORC1Cell biologyRegulatorCell growthIntracellularMAPK/ERK pathwayChemistryCellCotransporterTransporterPI3K/AKT/mTOR pathwayBiologySignal transductionBiochemistrySodiumGene

Abstract

fetched live from OpenAlex

mTORC1 regulates cellular growth and is activated by growth factors and by essential amino acids such as Leu. Leu enters cells via the Leu transporter LAT1-4F2hc (LAT1). Here we show that the Na + /K + /2Cl − cotransporter NKCC1 ( SLC12A2 ), a known regulator of cell volume, is present in complex with LAT1. We further show that NKCC1 depletion or deletion enhances LAT1 activity, as well as activation of Akt and Erk, leading to activation of mTORC1 in cells, colonic organoids, and mouse colon. Moreover, NKCC1 depletion reduces intracellular Na + concentration and cell volume (size) and mass and stimulates cell proliferation. NKCC1, therefore, suppresses mTORC1 by inhibiting its key activating signaling pathways. Importantly, by linking ion transport and cell volume regulation to mTORC1 function, NKCC1 provides a long-sought link connecting cell volume (size) to cell mass regulation.

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 score0.006

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 studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
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 head0.003
GPT teacher head0.189
Teacher spread0.186 · 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

Citations53
Published2019
Admission routes2
Has abstractyes

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