MétaCan
Menu
Back to cohort
Record W2041996284 · doi:10.1074/jbc.m704300200

The Role of Brain-derived Neurotrophic Factor (BDNF)-induced XBP1 Splicing during Brain Development

2007· article· en· W2041996284 on OpenAlexaboutno aff
Akiko Hayashi, Takaoki Kasahara, Kazuya Iwamoto, Mizuho Ishiwata, Mizue Kametani, Chihiro Kakiuchi, Teiichi Furuichi, Tadafumi Kato

Bibliographic record

VenueJournal of Biological Chemistry · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsBrain-derived neurotrophic factorNeuroscienceNeurotrophic factorsRNA splicingSplicing factorMedicinePsychologyBiologyInternal medicineGeneticsReceptorGene

Abstract

fetched live from OpenAlex

Accumulation of unfolded proteins in the endoplasmic reticulum initiates intracellular signaling termed the unfolded protein response (UPR). Although Xbp1 serves as a pivotal transcription factor for the UPR, the physiological role of UPR signaling and Xbp1 in the central nervous system remains to be elucidated. Here, we show that Xbp1 mRNA was highly expressed during neurodevelopment and activated Xbp1 protein was distributed throughout developing neurons, including neurites. The isolated neurite culture system and time-lapse imaging demonstrated that Xbp1 was activated in neurites in response to brain-derived neurotrophic factor (BDNF), followed by subsequent translocation of the active Xbp1 into the nucleus. BDNF-dependent neurite outgrowth was significantly attenuated in Xbp1(-/-) neurons. These findings suggest that BDNF initiates UPR signaling in neurites and that Xbp1, which is activated as part of the UPR, conveys the local information from neurites to the nucleus, contributing the neurite outgrowth.

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 score0.003

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)0.0000.000

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 head0.012
GPT teacher head0.246
Teacher spread0.234 · 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

Citations121
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Biological ChemistrySame topicEndoplasmic Reticulum Stress and DiseaseFrench-language works237,207