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Record W4394351948 · doi:10.6084/m9.figshare.20222567

Additional file 1 of Circular RNA EIF4G3 suppresses gastric cancer progression through inhibition of β-catenin by promoting δ-catenin ubiquitin degradation and upregulating SIK1

2022· dataset· en· W4394351948 on OpenAlexaff
Xueyan Zang, Jiajia Jiang, Jianmei Gu, Yanke Chen, Maoye Wang, Yu Zhang, Min Fu, Hui Shi, Hui Cai, Hui Qian, Wenrong Xu, Xu Zhang

Bibliographic record

VenueFigshare · 2022
Typedataset
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCircular RNAs in diseases
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCateninUbiquitinDegradation (telecommunications)Cancer researchChemistryCancerCell biologyInternal medicineBiologyMedicineComputer scienceBiochemistryWnt signaling pathwaySignal transductionGeneTelecommunications

Abstract

fetched live from OpenAlex

Additional file 1: Figure S1. The expression and intracellular localization of circEIF4G3 in GC.(A) The common downregulated circRNAs in three GEO datasets were listed as indicated. (B) Nuclear/cytoplasm distribution of circEIF4G3 in GC cells.Actin and U6 were applied as positive controls. (C) qRT-PCR assays for the expression of circEIF4G3 in GC cell lines (HGC-27, AGS, BGC-823, SGC-7901, MGC-803, MKN-45,and NCI-N87) and a normal gastric mucosa epithelial cell line (GSE-1). (D) ROC curves for the diagnostic value of serum circEIF4G3 in GC. Data are shown as means±SD. ***P<0.001. Figure S2. CircEIF4G3 overexpression inhibits EMT in GC cells.(A) qRT-PCR was used to examine the efficiency of circEIF4G3 overexpression in GC cells. (B) Western blot and (C) qRT-PCR analyses of N-cadherin, E-cadherin, Vimentin, slug and cyclin D1 expression in control and circEIF4G3 overexpressing GC cells. Figure S3. CircEIF4G3 silencing promotes GC cell proliferation, migration and invasion in vitro.(A) Schematic illustration of specific circEIF4G3-targeting sites. (B) Efficiency of circEIF4G3 knockdown in GC cells by siRNAs was tested by qRT-PCR. (C) Cell counting assay,(D) Colony formation assay, and (E-F) Transwell migration and matrigel invasionassays for si-Scr and si-circEIF4G3 GC cells. (G) Western blot and (H) qRT-PCR assays to evaluate the expression of N-cadherin, E-cadherin, Vimentin and cyclin D1 mRNA and proteins in GC cells after circEIF4G3 knockdown. (I) Cell apoptosis assays for GC cells with or without circEIF4G3 knockdown. (J) Flow cytometry analyses of cell cycle distribution in si-Scr and si-circEIF4G3 GC cells. (K) Western blot analyses of β-catenin, c-Myc, and cyclin D1 expression in circEIF4G3 knockdown GC cells. Data are shown as means±SD (n = 3). *P<0.05, **P<0.01,***P<0.001; Scale bar=100 μm. Figure S4. δ-catenin overexpression promotes GC cell proliferation, migration, and invasion in vitro.(A) The protein level of δ-catenin overexpression in GC cells after transfection. (B) Cell counting assay, (C) Transwell migration, and (D) Matrigel invasion assays for GC cells with or without δ-catenin overexpression. Data are shown as means±SD. Scale bar=100 μm. Figure S5. δ-catenin partially rescues the inhibition of GC progression by circEIF4G3 overexpression.(A) Cell growth curve, (B) Colony formation,(C) Transwell migration, and (D) Matrigel invasion assays for circEIF4G3 overexpressing GC cells co-transfected with or without δ-catenin. Data are shown as means±SD. Scale bar=100 μm. (E) Western blot assays for protein levels of β-catenin and its downstream targets in circEIF4G3 overexpressing GC cells co-transfected with or without δ-catenin. (F) qRT-PCR analysis of circEIF4G3 expression and western blot assay for δ-catenin protein levels in paired tumor and non-tumor tissues. *P < 0.05,**P < 0.01. Figure S6. TRIM25 promotes ubiquitination and degradation of δ-catenin in a circEIF4G3-dependent manner. (A) Interaction of TRIM25 with circEIF4G3 was determined by TRAP assay and validated by western blot. (B) RNA FISH and immunofluorescence staining for the co-localization of circEIF4G3 (red) with TRIM25 (green) or δ-catenin (green) in GC cells. Scale bar=25 μm. (C) mRNA levels of δ-catenin in GC cells with TRIM25 overexpression. (D) The levels of ubiquitinated δ-catenin in TRIM25 overexpressing GC cells with circEIF4G3 knockdown. Data were expressed as means ± SD. Figure S7. SIK1 is a target of miR-4449. (A-B) The mRNA (A) and protein (B) levels of potential targets were detected in GC cells with circEIF4G3 (or miR-4449) overexpression and knockdown. (C) The correlation analysis between circEIF4G3 and HUNK or PINX.(D) The expression levels of β-catenin protein and downstream targets in GC cells with SIK1 overexpression were examined by western blot. (E) Relative luciferase activity of β-catenin was detected by dual-luciferase reporter assay. (F-H) Cell counting (F), Transwellmigration (G), and Matrigel invasion (H) assays for GC cells with SIK1 overexpression. (I) The efficiency of SIK1 knockdown was determined by qRT-PCR.Scale bar =100 μm. **P< 0.01, ***P< 0.001. Data were expressed as means± SD. Figure S8. CircEIF4G3 overexpression inhibits δ-catenin while promotes SIK1 expression in vivo.The protein levels of δ-catenin and SIK1 in mouse tumor tissues were detected by western blot.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.921
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
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)0.9210.000

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 head0.017
GPT teacher head0.269
Teacher spread0.251 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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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