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Record W2329597870 · doi:10.1158/1538-7445.am2013-3860

Abstract 3860: Furin is required for processing KISS1 to kisspeptins.

2013· article· en· W2329597870 on OpenAlexaff
Sitaram Harihar, Keke M. Pounds, Tomoo Iwakuma, Nabil G. Seidah, Danny R. Welch

Bibliographic record

VenueCancer Research · 2013
Typearticle
Languageen
FieldMedicine
TopicPeptidase Inhibition and Analysis
Canadian institutionsUniversité de MontréalMontreal Clinical Research Institute
Fundersnot available
KeywordsFurinProprotein ConvertasesProprotein convertaseGene knockdownProteasesBiologyKexinEnzymeCell biologyBiochemistryCancer researchApoptosisLDL receptor

Abstract

fetched live from OpenAlex

Abstract KISS1 is a broadly functional metastatic suppressor that is secreted and processed in the extracellular milieu into small peptides (called kisspeptins (KP)). The enzyme(s) responsible for generation of KP from nascent KISS1 is unknown, although sequence analysis (cleavage at KR or RR dibasic sites) suggests that members of the proprotein convertase family may be involved. We, therefore, hypothesized that enzyme(s) belonging to the proprotein convertase family process KISS1 to generate kisspeptins. To this end, we treated multiple melanomas and breast carcinoma cells overexpressing KISS1 with the proprotein convertase inhibitor Dec-RVKR-CMK and found that KISS1 processing was completely inhibited, strongly consistent with a role for proprotein convertases. To identify specific proprotein convertases responsible for KISS1 processing, we systematically analyzed the mRNA expression of the nine members of this family across numerous cell lines. We found a consistent expression of the three proteases - furin, PC5 and PC7 -suggesting one or combination of these three enzymes to be involved in KISS1 processing. shRNA-mediated knockdown of furin, PC5 and PC7 (individually and in combination) resulted in complete loss of KISS1 processing only in furin knockdown cells; whereas, no effect on processing was observed in PC5 or PC7 knockdown cells. Thus, when combined with previous studies showing post-secretion processing, extracellular furin was identified as the essential enzyme responsible for KISS1 proteolytic cleavage into kisspeptins. [Support: CA134981, Komen SAC110037, National Foundation for Cancer Research, Steiner Family Fellowship in Metastasis Research] Citation Format: Sitaram Harihar, Keke M. Pounds, Tomoo Iwakuma, N G. Seidah, Danny R. Welch. Furin is required for processing KISS1 to kisspeptins. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 3860. doi:10.1158/1538-7445.AM2013-3860

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 score0.003
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.160
GPT teacher head0.478
Teacher spread0.318 · 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

Citations0
Published2013
Admission routes1
Has abstractyes

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