MétaCan
Menu
Back to cohort

Ran overexpression leads to a compromised transcription factor nuclear translocation and diminished T-cells response to TCR activation (35.8)

2009· article· en· W192250670 on OpenAlexaff
Thi Ngoc Diep Pham, Xiaoying Qiao, Héctor Valderrama-Carvajal, Hongyu Luo, JianPing Wu

Bibliographic record

VenueThe Journal of Immunology · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicNuclear Structure and Function
Canadian institutionsCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsNFATRanBiologyCell biologyNuclear proteinActivator (genetics)Molecular biologyT cellTranscription factorImmune systemReceptorGeneImmunology

Abstract

fetched live from OpenAlex

Abstract Ran (Ras-related nuclear protein) is a Ras family GTPase, and its documented functions are the regulation of DNA replication, cell cycle progression, nuclear structure formation, RNA processing and exportation, and nuclear protein importation. In this study, we performed detailed mapping of Ran expression during mouse ontogeny using in situ hybridization. High Ran expression was found various organs and tissues including the thymus cortex and spleen white pulp. Ran was induced in T cells 24 hours after their activation. Ran’s function in the immune system was investigated. In transgenic T cells with actin promoter-driven Ran expression, there was compromised activation marker expression, lymphokine secretion, and proliferation upon T cell receptor (TCR) activation in vitro, compared with wild-type T cells. At the molecular level, transgenic T cells were defective in nuclear factor kappa-B (NFκB), activator protein 1 (AP-1) and nuclear factor of activated T cells (NFAT) nuclear translocation. Our experiments showed, for the first time, that Ran has important regulatory function in T-cell activation, and such function is probably related to its role in nuclear import of critical transcription factors.

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 score0.027
Threshold uncertainty score0.307

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 head0.228
Teacher spread0.220 · 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

Citations0
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of ImmunologySame topicNuclear Structure and FunctionFrench-language works237,207