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Record W4407481065 · doi:10.1016/j.stemcr.2025.102418

Clonal lineage tracing and transcriptomics of cortical progenitor populations reveal maintenance of differentiation potential

2025· article· en· W4407481065 on OpenAlexafffund
Danyon Harkins, Shawar Ali, Teodora Tockovska, Sara Ciganovic, Daniela Lozano Casasbuenas, Samuel Watanabe, Stephanie Ouzikov, Scott A. Yuzwa

Bibliographic record

VenueStem Cell Reports · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSingle-cell and spatial transcriptomics
Canadian institutionsPrincess Margaret Cancer CentreCanada Research Chairs
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsBiologyProgenitorProgenitor cellTranscriptomeLineage (genetic)Evolutionary biologyCell lineageCellular differentiationStem cellGeneticsGeneGene expression

Abstract

fetched live from OpenAlex

Postnatal neocortical development is a complex period wherein radial glial progenitors (RGPs) complete excitatory neurogenesis and transition to the production of glia. Here, we take advantage of a multi-layered lineage tracing tool pbacBarcode, to examine the contributions of individual cortical RGPs to the postnatal cortex. We reveal that some individual cortical RGPs are multipotent and give rise to olfactory bulb interneurons, astrocytes, and oligodendrocytes in a ∼2:1:1 ratio. We provide evidence that differentiation potential into terminal cell types is maintained as late as post-natal day (P)4, suggesting that a population decline model, as opposed to cell fate restriction, underlies postnatal neocortical development. Moreover, a pool of proliferative intermediary cells, which may represent a multipotent postnatal intermediate progenitor cell population, may contribute to the production of the three major cell types. Lastly, we examine RGP postnatal contribution to oligodendrocytes and show that oligodendrocyte progenitor founder cell production by cortical RGPs is largely complete by P3.

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 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 score0.022
Threshold uncertainty score0.435

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.010
GPT teacher head0.230
Teacher spread0.220 · 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.

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

Citations7
Published2025
Admission routes2
Has abstractyes

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