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Record W2088700067 · doi:10.1002/jemt.20884

Distribution of nestin protein: Immunohistochemical study in enteric plexus of rat duodenum

2010· article· en· W2088700067 on OpenAlexaff
Irene Cantarero, María José Luesma Bartolomé, C. Lavoie‐Gagnon

Bibliographic record

VenueMicroscopy Research and Technique · 2010
Typearticle
Languageen
FieldNeuroscience
TopicNeurogenesis and neuroplasticity mechanisms
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsNestinInterstitial cell of CajalMyenteric plexusEnteric nervous systemBiologyIntermediate filamentPathologyImmunohistochemistryStem cellCell biologyDuodenumGastrointestinal tractNeural stem cellCytoskeletonNeuroscienceCellImmunologyInternal medicineMedicine

Abstract

fetched live from OpenAlex

The intermediate nestin filament is expressed in neural stem cells, neuroectodermal tumors and various adult tissues under situations that reproduce developmental phases, e.g., physiological renewal of certain cell types, tissue regeneration, and healing or revascularization. In the human gastrointestinal tract, nestin has been reported in glial cells and interstitial cells of Cajal. We examined by immunohistochemistry the appearance and distribution of nestin protein in enteric ganglia of rat duodenum. Through the myenteric and submucosal plexuses, a high number of nestin-positive cells were visualized in this specie. The nestin-positive cells were smaller and more numerous than enteric neurons. They were present both within and around ganglia. The results of this study suggest that the rat enteric glial cells (EGCs) are rich in nestin, a protein usually associated with dividing or migrating cells and the dynamic reorganization of nestin filaments during the cell cycle. EGCs could function as enteric stem cells.

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 score0.001
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)0.0010.000

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 head0.047
GPT teacher head0.365
Teacher spread0.318 · 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

Citations17
Published2010
Admission routes1
Has abstractyes

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