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Record W4281761878 · doi:10.1002/ctd2.90

MicroRNA‐200c overexpression in cancer‐associated fibroblasts decreases interleukin‐2 secretion

2022· article· en· W4281761878 on OpenAlexaff
Laleh Shariati, Golnaz Vaseghi, Nazanin Vaziri, Nasim Shenavar, Ali Zarrabi, Shaghayegh Haghjooy Javanmard

Bibliographic record

VenueClinical and Translational Discovery · 2022
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity of Calgary
FundersIsfahan University of Medical Sciences
KeywordsLipofectamineTransfectionSecretionFibroblastChemistryMolecular biologyInterleukinCancer-Associated FibroblastsBiologyCancerCancer cellCytokineInternal medicineEndocrinologyImmunologyMedicineBiochemistryIn vitroGene

Abstract

fetched live from OpenAlex

Abstract miR‐200c‐3p is demonstrated to play the role of tumour suppressor in different tumours. However, the miR‐200c‐3p biological function in normal fibroblast (NF) and cancer‐associated fibroblast (CAF) remains unclear. This investigation aims to study the regulatory role of miR‐200c‐3p in the secretion of Interleukin‐2 (IL‐2) in CAF and NF. CAFs and NFs were isolated from tumour and normal tissue specimens respectively. Immunocytochemistry was used to confirm the presence of a fibroblast specific marker, alpha‐actin smooth muscle, in NFs and CAFs. NF and CAF were transfected with scramble and miR‐200c‐3p utilizing the lipofectamine 2000 reagent. The protein levels of IL‐2 were measured in CAFs, NFs, and transfected groups with miR‐200c‐3p and scrambled using an IL‐2 enzyme‐linked immunoassay kit. miR‐200c decreased secretion of IL‐2 in transfected CAF and NF compared to controls. Results elucidated that transfection of MiR‐200c‐3p can decrease the IL‐2 secretion and consequently reduce IL‐induced tumourigenic manner in the CAF.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score0.457

Codex and Gemma teacher scores by category

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 head0.022
GPT teacher head0.313
Teacher spread0.292 · 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 designObservational
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

Citations1
Published2022
Admission routes1
Has abstractyes

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