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Record W2093746943 · doi:10.1074/jbc.m112.396762

MicroRNA 218 Acts as a Tumor Suppressor by Targeting Multiple Cancer Phenotype-associated Genes in Medulloblastoma

2012· article· en· W2093746943 on OpenAlexaff
Sujatha Venkataraman, Diane K. Birks, Ilango Balakrishnan, Irina Alimova, Peter S. Harris, Purvi Patel, Michael H. Handler, Adrian M. Dubuc, Michael D. Taylor, Nicholas K. Foreman, Rajeev Vibhakar

Bibliographic record

VenueJournal of Biological Chemistry · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsHospital for Sick Children
FundersNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeNational Institute of Diabetes and Digestive and Kidney DiseasesNational Cancer Institute
KeywordsMedulloblastomaDroshamicroRNABiologyGene silencingCyclin-dependent kinase 6Cancer researchOncogeneRNA interferenceCell cycleCancerGeneRNAGeneticsCyclin D1

Abstract

fetched live from OpenAlex

Aberrant expression of microRNAs has been implicated in many cancers. We recently demonstrated differential expression of several microRNAs in medulloblastoma. In this study, the regulation and function of microRNA 218 (miR-218), which is significantly underexpressed in medulloblastoma, was evaluated. Re-expression of miR-218 resulted in a significant decrease in medulloblastoma cell growth, cell colony formation, cell migration, invasion, and tumor sphere size. We used C17.2 neural stem cells as a model to show that increased miR-218 expression results in increased cell differentiation and also decreased malignant transformation when transfected with the oncogene REST. These results suggest that miR-218 acts as a tumor suppressor in medulloblastoma. MicroRNAs function by down-regulating translation of target mRNAs. Targets are determined by imperfect base pairing of the microRNA to the 3′-UTR of the mRNA. To comprehensively identify actual miR-218 targets, medulloblastoma cells overexpressing miR-218 and control cells were subjected to high throughput sequencing of RNA isolated by cross-linking immunoprecipitation, a technique that identifies the mRNAs bound to the RNA-induced silencing complex component protein Argonaute 2. High throughput sequencing of mRNAs identified 618 genes as targets of miR-218 and included both previously validated targets and many targets not predicted computationally. Additional work further confirmed CDK6, RICTOR, and CTSB (cathepsin B) as targets of miR-218 and examined the functional role of one of these targets, CDK6, in medulloblastoma.Background: MicroRNAs are differentially expressed in medulloblastoma.Results: MicroRNA 218 expression is decreased in medulloblastoma. Re-expression of miR-218 suppresses the malignant cell phenotype in medulloblastoma cells. Unbiased HITS-CLIP analysis identified multiple oncogenic genes as miR-218 targets.Conclusion: miR-218 inhibits medulloblastoma tumor cell phenotype by targeting multiple oncogenes.Significance: miR-218-regulated pathways are important in medulloblastoma pathogenesis. Aberrant expression of microRNAs has been implicated in many cancers. We recently demonstrated differential expression of several microRNAs in medulloblastoma. In this study, the regulation and function of microRNA 218 (miR-218), which is significantly underexpressed in medulloblastoma, was evaluated. Re-expression of miR-218 resulted in a significant decrease in medulloblastoma cell growth, cell colony formation, cell migration, invasion, and tumor sphere size. We used C17.2 neural stem cells as a model to show that increased miR-218 expression results in increased cell differentiation and also decreased malignant transformation when transfected with the oncogene REST. These results suggest that miR-218 acts as a tumor suppressor in medulloblastoma. MicroRNAs function by down-regulating translation of target mRNAs. Targets are determined by imperfect base pairing of the microRNA to the 3′-UTR of the mRNA. To comprehensively identify actual miR-218 targets, medulloblastoma cells overexpressing miR-218 and control cells were subjected to high throughput sequencing of RNA isolated by cross-linking immunoprecipitation, a technique that identifies the mRNAs bound to the RNA-induced silencing complex component protein Argonaute 2. High throughput sequencing of mRNAs identified 618 genes as targets of miR-218 and included both previously validated targets and many targets not predicted computationally. Additional work further confirmed CDK6, RICTOR, and CTSB (cathepsin B) as targets of miR-218 and examined the functional role of one of these targets, CDK6, in medulloblastoma. Background: MicroRNAs are differentially expressed in medulloblastoma. Results: MicroRNA 218 expression is decreased in medulloblastoma. Re-expression of miR-218 suppresses the malignant cell phenotype in medulloblastoma cells. Unbiased HITS-CLIP analysis identified multiple oncogenic genes as miR-218 targets. Conclusion: miR-218 inhibits medulloblastoma tumor cell phenotype by targeting multiple oncogenes. Significance: miR-218-regulated pathways are important in medulloblastoma pathogenesis.

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)0.001
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 score0.031
Threshold uncertainty score0.646

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.012
GPT teacher head0.256
Teacher spread0.244 · 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".

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Citations106
Published2012
Admission routes1
Has abstractyes

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