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Maintaining Peroxisome Populations: A Story of Division and Inheritance

2007· review· en· W2167548873 on OpenAlexaff
Andrei Fagarasanu, Monica Fagarasanu, Richard A. Rachubinski

Bibliographic record

VenueAnnual Review of Cell and Developmental Biology · 2007
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPeroxisome Proliferator-Activated Receptors
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPeroxisomeBiologyCell biologyOrganelleCell divisionEndoplasmic reticulumCytokinesisDynaminBiochemistryCellGeneEndocytosis

Abstract

fetched live from OpenAlex

Eukaryotic cells divide their metabolic labor between functionally distinct, membrane-enveloped organelles, each precisely tailored for a specific set of biochemical reactions. Peroxisomes are ubiquitous, endoplasmic reticulum-derived organelles that perform requisite biochemical functions intimately connected to lipid metabolism. Upon cell division, cells have to strictly control peroxisome division and inheritance to maintain an appropriate number of peroxisomes in each cell. Peroxisome division follows a specific sequence of events that include peroxisome elongation, membrane constriction, and peroxisome fission. Pex11 proteins mediate the elongation step of peroxisome division, whereas dynamin-related proteins execute the final fission. The mechanisms responsible for peroxisome membrane constriction are poorly understood. Molecular players involved in peroxisome inheritance are just beginning to be elucidated. Inp1p and Inp2p are two recently identified peroxisomal proteins that perform antagonistic functions in regulating peroxisome inheritance in budding yeast. Inp1p promotes the retention of peroxisomes in mother cells and buds by attaching peroxisomes to as-yet-unidentified cortical structures. Inp2p is implicated in the motility of peroxisomes by linking them to the Myo2p motor, which then propels their movement along actin cables. The functions of Inp1p and Inp2p are cell cycle regulated and coordinated to ensure a fair distribution of peroxisomes at cytokinesis.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.031
GPT teacher head0.334
Teacher spread0.303 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations115
Published2007
Admission routes1
Has abstractyes

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