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Record W4391296230 · doi:10.1101/2024.01.26.573092

Mitotic Activity and DNA Maintenance of Adult Neural Stem Cells is Regulated by Beclin1

2024· preprint· en· W4391296230 on OpenAlexafffund
Alena Kalinina, Jasbir Dhaliwal, Yaoming Xue, Michael Vaculik, M. McCambley, Bensun C. Fong, David P. Cook, Ruth S. Slack, Diane C. Lagace

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2024
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsOttawa HospitalSickKids FoundationUniversity of TorontoToronto Public HealthHospital for Sick ChildrenUniversity of Ottawa
FundersOttawa Hospital Research InstituteUniversity of Ottawa
KeywordsBiologyCell biologyNeural stem cellCell cycleMitosisProgenitor cellDownregulation and upregulationStem cellCell growthGeneGenetics

Abstract

fetched live from OpenAlex

SUMMARY Beclin1 is a tumor suppressor gene that can regulate proliferation under pathological conditions. Whether Beclin1 has a role in regulating proliferation in physiological conditions remains unknown. Here, through the creation of an inducible transgenic mouse that removes Beclin1 from adult neural stem and progenitor cells (NSPCs) and their progeny we uncovered that Beclin1 is required cell-autonomously to sustain proliferating NSCPs in vivo and ex vivo . Flow cytometry analysis and single-cell RNA-sequencing show that Beclin1 is required for mitosis. Additional analysis of the proliferating NSPCs resolved by stage of cell cycle uncovered that Beclin1-null cells have a distinct differential developmental trajectory accompanied by downregulation of genes involved in chromosomal maintenance and upregulation of cell stress genes upon cell cycle exit. These effects align with DNA damage in Beclin1-null cells and ultimately result in less adult-born granular neurons. Together these data identify Beclin1 as a novel regulator of mitosis in adult NSPCs.

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 categoriesMeta-epidemiology (narrow)
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 score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.006
GPT teacher head0.204
Teacher spread0.198 · 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 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
Published2024
Admission routes2
Has abstractyes

Explore more

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