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Record W2903877755 · doi:10.3892/mmr.2018.9751

Knockdown of ribosomal protein S15A inhibits human kidney cancer cell growth in�vitro and in�vivo

2018· article· en· W2903877755 on OpenAlexfundno aff
Jiayu Liang, Zhihong Liu, Zijun Zou, Xiangxiu Wang, Yongquan Tang, Chuan Zhou, Kan Wu, Fuxun Zhang, Yiping Lu

Bibliographic record

VenueMolecular Medicine Reports · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsnot available
FundersWest China Hospital, Sichuan UniversitySichuan UniversitySociété Internationale D'Urologie
KeywordsGene knockdownBiologyOncogeneCarcinogenesisCell growthCell cycleCancer researchMicroarray analysis techniquesCellMolecular biologyCancerApoptosisGeneGene expressionGenetics

Abstract

fetched live from OpenAlex

Ribosomal protein S15A (RPS15A), a member of the ribosomal protein gene family, was demonstrated to be closely associated with tumorigenesis in multiple human malignancies. Nevertheless, the role of RPS15A in the progression of renal cell carcinoma (RCC) remains unknown. In the present study, by comparing the publicly available data from RCC tissues and reverse transcription‑quantitative polymerase chain reaction results, it was identified that RPS15A was upregulated in RCC tissues and cell lines (P<0.001). Notably, knockdown of RPS15A suppressed 786‑O cell proliferation (P<0.001) and promoted its apoptosis/necrotic (P=0.0001) in vitro. Additionally, tumour formation and growth of transfected 786‑O cells were observed to be restrained in a mouse model (P<0.05). Subsequent to analysing the microarray data, 747 genes were differentially expressed in the RPS15A‑knockdown 786‑O cells. The enriched canonical pathways, diseases and functions of differentially expressed genes, and the interactive network of RPS15A in RCC were successfully constructed by ingenuity pathway analysis. Overall, the present results provided a preliminary experimental basis for RPS15A as a novel oncogene and potential therapeutic target in RCC.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.602

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 head0.007
GPT teacher head0.260
Teacher spread0.253 · 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

Citations6
Published2018
Admission routes1
Has abstractyes

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