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Record W4413508963 · doi:10.1101/2025.08.21.671641

The nucleus follows an internal cellular scale during polarized root hair cell development

2025· preprint· en· W4413508963 on OpenAlexaff
J.R. Orr, M. Arif Ashraf

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2025
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNucleusScale (ratio)Root (linguistics)Root hairBiologyCell biologyPhysicsGeneticsPhilosophyQuantum mechanics

Abstract

fetched live from OpenAlex

Abstract The root hair cell is a product of asymmetric cell division, which grows in a polar manner, and thus is an attractive model cell type from a cellular biology aspect. Beyond the fundamental cell biology context, the root hair is involved in water and nutrient acquisition, making it important for agronomic applications. Nuclear positioning in the cell is crucial during root hair development. Often, textbooks demonstrate illustrations of the nucleus located at a fixed position from the tip of a root hair or at the very end of a root hair. The fundamental question is whether the nucleus follows a cellular scale during polarized growth. Maintaining the scale is a rudimentary biological process during development at the organismal and cellular levels. In this study, we altered root hairs through hormonal, nutrient, and environmental factors to decipher the cellular scale (no scale, universal scale, or internal scale) maintained by the nucleus. We utilized the live cell imaging combined with a quantitative cell biology approach and, surprisingly discovered that the nucleus always follows an internal scale in the root hair cell. This finding dramatically shifted our view about the nuclear position in a polarized cell and will have a potential to test across the tree of life. Altogether, understanding the cellular scale involved with nucleus positioning will have broad implications. It encourages a reexamination of textbooks and reinforces the agricultural importance in a changing climate.

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 score0.004

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 communication0.0010.000
Open science0.0000.000
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 head0.011
GPT teacher head0.205
Teacher spread0.194 · 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
Published2025
Admission routes1
Has abstractyes

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