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Record W2150626960 · doi:10.1158/1538-7445.am2014-3450

Abstract 3450: Internalization and recycling of RET receptor tyrosine kinase isoforms

2014· article· en· W2150626960 on OpenAlexaff
Mathieu Joseph François Crupi, Douglas S. Richardson, Lois M. Mulligan

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsQueen's University
Fundersnot available
KeywordsBiologyCell biologyReceptor tyrosine kinaseInternalizationTyrosine kinaseEndosomeProto-oncogene tyrosine-protein kinase SrcCancer researchGene isoformClathrinSignal transductionReceptorIntracellularEndocytosisGeneticsGene

Abstract

fetched live from OpenAlex

Abstract The RET (REarranged in Transfection) receptor tyrosine kinase is crucial for the normal development of the kidneys and enteric nervous system, as well as the regulation of neural-crest cell behaviours, including migration, proliferation, differentiation and survival. RET is also a potent contributor to clinically challenging cancers. Activating mutations in RET can lead to multiple endocrine neoplasia type 2, a cancer syndrome characterized by medullary thyroid carcinoma. Increased activation of wildtype RET receptors has been linked to aggressive breast cancers, and enhanced invasion and perineural spread in pancreatic carcinoma. Two distinct isoforms of the growth factor receptor arise through alternative splicing of the 3’ exons, and are termed RET9 and RET51 to denote the number of amino acids in each C-terminal tail. These isoforms induce unique transphosphorylation patterns on intracellular tyrosine residues, differentially bind downstream signalling proteins, and possess different intrinsic abilities to cause cellular transformation. Here, we explore the differential subcellular localization and trafficking of the two isoforms in human cell line models to better understand RET-mediated cancers. We have observed that RET51 is efficiently matured and localized to the cell membrane, while immature RET9 matures more slowly, leading to lower relative expression on the plasma membrane. Subsequent to RET activation, both isoforms at the cell surface are internalized through AP2-adaptor interactions and the clathrin coated-pit pathway into endosomes. Although RET51 is internalized more rapidly than RET9, a portion of RET51 molecules recycles back to the plasma membrane, maintaining high expression levels at the cell surface. We have shown that RET51 interacts with the sorting protein GGA3, which may allow the long isoform to travel back to the cell surface. Recycling prevents efficient degradation of RET51, allowing for prolonged downstream signaling relative to RET9. Since RET51 has a longer residency time in an endosomal compartment, where sustained Erk1/2 signaling promotes mitogenesis, this may in part explain the greater transforming potential of RET51. Together, our data suggest that differences in RET isoform subcellular localization and trafficking would lead to differences in signal transduction and may in part explain the functional differences observed between RET isoforms. Citation Format: Mathieu Joseph François Crupi, Douglas S. Richardson, Lois M. Mulligan. Internalization and recycling of RET receptor tyrosine kinase isoforms. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 3450. doi:10.1158/1538-7445.AM2014-3450

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 score0.002
Threshold uncertainty score0.007

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)0.0020.001

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 head0.047
GPT teacher head0.382
Teacher spread0.336 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

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