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IL-9 enhances growth of ICC, maintains network structure and strengthens rhythmicity of contraction in culture

2006· article· en· W2007261030 on OpenAlexaff
Jing Ye, Yaohui Zhu, Waliul I. Khan, Jacques Van Snick, Jan D. Huizinga

Bibliographic record

VenueJournal of Cellular and Molecular Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicGastrointestinal motility and disorders
Canadian institutionsMcMaster University
FundersLudwig Institute for Cancer Research
KeywordsInterstitial cell of CajalMotilityExplant cultureBiologyCell cultureCell biologyAndrologyMedicineIn vitroImmunologyImmunohistochemistryGenetics

Abstract

fetched live from OpenAlex

Interstitial cells of Cajal (ICC) play a critical role in the control of gastrointestinal motility as pacemaker cells and as regulators of enteric innervation. ICC are one of the first cell types that are injured during an inflammatory process and maintenance of ICC health or promotion of growth and development maybe crucial in recovery after injury. The aim of this study was to evaluate the role of IL-9 in the growth, development and maintenance of ICC in culture. IL-9 in concentrations from 0.02 to 1 microg/ml promoted individual ICC growth and maintenance of the ICC network structure inside tissue explants under culture conditions. The number of ICC grown out of the explants increased significantly at day 4 of culture in the presence of 0.02, 0.5 and 1 microg/ml IL-9. In the presence of 0.5 microg/ml IL-9, explants in culture maintained a higher frequency and stabilized the frequency of spontaneous contractile activity. The ultrastructure of the ICC after 4 days in culture was similar to that in situ. Our data indicate that IL-9 promotes ICC growth in culture and it can be hypothesized that IL-9 is a critical factor in the maintenance of ICC health and ICC repair after injury.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.560
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.004
GPT teacher head0.218
Teacher spread0.214 · 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

Citations22
Published2006
Admission routes1
Has abstractyes

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