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Record W1973938821 · doi:10.1073/pnas.0509032102

Zfp312 is required for subcortical axonal projections and dendritic morphology of deep-layer pyramidal neurons of the cerebral cortex

2005· article· en· W1973938821 on OpenAlexfundno aff
Jie-Guang Chen, Mladen-Roko Rašin, Kenneth Y. Kwan, Nenad Šestan

Bibliographic record

VenueProceedings of the National Academy of Sciences · 2005
Typearticle
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCanadian Institutes of Health ResearchNational Institutes of HealthYork UniversityJohns Hopkins UniversityUniversity of WashingtonNational Institute of Neurological Disorders and StrokeWhitehall Foundation
KeywordsCerebral cortexPyramidal cellBiologyEctopic expressionNeuroscienceTranscription factorCortex (anatomy)AnatomyCell biologyHippocampusGene

Abstract

fetched live from OpenAlex

Pyramidal neurons of the cerebral cortex display marked layer- and subtype-specific differences in their axonal projections and dendritic morphologies. Here we show that transcription factor Zfp312 is selectively expressed by layer V and VI subcortical projection pyramidal neurons and their progenitor cells. Knocking down Zfp312 with small interfering RNAs dramatically reduced the number of subcortical axonal projections from deep-layer pyramidal neurons and altered their dendritic morphology. In contrast, misexpression of Zfp312 in cortically projecting pyramidal neurons of layers II and III induced the expression of Tbr1, a transcription factor enriched in deep-layer neurons, and the formation of ectopic subcortical axonal projections. Thus, our results indicate that transcription factor Zfp312 plays a critical role in layer- and neuronal subtype-specific patterning of cortical axonal projections and dendritic morphologies.

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 score0.002
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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.088
GPT teacher head0.335
Teacher spread0.247 · 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

Citations250
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the National Academy of SciencesSame topicAxon Guidance and Neuronal SignalingFrench-language works237,207