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Record W4309017078 · doi:10.1093/neuonc/noac209.113

CNSC-32. ACTIN SUBUNIT STRUCTURAL DIVERSITY IN SHH MEDULLOBLASTOMA: IMPLICATIONS FOR CANCER BIOLOGY AND NEURODEVELOPMENT

2022· article· en· W4309017078 on OpenAlexaff
Jamie Beaulieu, David J. H. F. Knapp, Daniel Picard, Marc Remke, Abbas F. Sadikot, Roberto J. Diaz

Bibliographic record

VenueNeuro-Oncology · 2022
Typearticle
Languageen
FieldMedicine
TopicGlioma Diagnosis and Treatment
Canadian institutionsMontreal Neurological Institute and HospitalUniversité de MontréalInstitute for Research in Immunology and CancerMcGill University
Fundersnot available
KeywordsBiologyActinCell biologySonic hedgehogMolecular biologySignal transduction

Abstract

fetched live from OpenAlex

Abstract BACKGROUND Altered expression of actin subunits is found in multiple cancers. Alpha-cardiac actin (ACTC1) is expressed in sonic hedgehog medulloblastoma (SHH MB) and regulates both cell survival and migration. We hypothesized that cardiac actin has a unique structural and functional role in SHH MB and may be expressed in post-natal granule cell progenitors (GCPs) which share similar gene expression profiles. METHODS Actin subunit protein expression (ACTC1, ACTB, ACTG1, and ACTA2) was evaluated by mRNA expression profiling within established datasets and across MB cell lines by Western blot (WB). Immunofluorescence microscopy was performed to assess intracellular actin subunit localization. The composition of each subunit in filamentous (F-) actin was evaluated. Furthermore immunoprecipitation of filamentous ACTC1 was performed to assess protein-protein interactions. The ratio of F-actin to globular (G-) actin was determined by WB in SHH MB cells exposed to mitotic inhibitor. Cell viability was determined by colony formation following over-expression of dominant-negative mutant ACTC1 (P116C & G247D). RESULTS ACTC1, ACTG1, and ACTB are the predominant actin subunits in SHH MB. Immunofluorescence microscopy demonstrated co-localization of ACTC1 with ACTG1 and ACTB but not ACTA2. ACTC1 showed a unique cortical localization pattern. Post-natal MATH1 positive mouse GCPs (P3-5) demonstrate similar distribution of ACTC1 in cortical F-actin. WB analysis of ACTC1 pulldown from SHH MB cell F-actin fractions showed co-precipitation with ACTG1 and ACTB but not ACTA2. ACTC1 F-actin to G-actin ratio is maintained in cells that show resistance to mitotic inhibition. Expression of mutant ACTC1 G247D resulted in reduced cell survival. CONCLUSIONS ACTC1 subunit is incorporated into F-actin in SHH MB and GCPs. Filamentous ACTC1 forms a protein complex with ACTG1 and ACTB. Disruption of ACTC1 polymerization results in reduced cell survival. These findings suggest a functional role of ACTC1 in both SHH MB and in GCPs which are important in cerebellar development.

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 score0.005

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)0.0010.000

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 head0.044
GPT teacher head0.344
Teacher spread0.300 · 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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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