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Record W1496662536 · doi:10.1158/1538-7445.am2014-375

Abstract 375: A novel diagnostic assay for detection of primate-specific RNA editing events in leukemia stem cells

2014· article· en· W1496662536 on OpenAlexaff
Leslie Crews, Qingfei Jiang, M Zipeto, Angela C. Court, Christian Barrett, Marco A. Marra, Kelly A. Frazer, Catriona Jamieson

Bibliographic record

VenueCancer Research · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA regulation and disease
Canadian institutionsCanada's Michael Smith Genome Sciences Centre
Fundersnot available
KeywordsRNA editingADARRNABiologyMyeloid leukemiaLeukemiaK562 cellsMolecular biologyContext (archaeology)Computational biologyGeneCancer researchGenetics

Abstract

fetched live from OpenAlex

Abstract Introduction The adenosine deaminase acting on RNA (ADAR) family of RNA editases has been linked to the pathogenesis of diverse malignancies, including leukemia, breast cancer and hepatocellular carcinoma. We previously showed that human leukemia stem cells (LSC) from blast crisis (BC) chronic myeloid leukemia (CML) patients harbor increased ADAR1 expression compared with normal and chronic phase (CP) progenitors. Whole transcriptome RNA sequencing (RNA-Seq) revealed increased adenosine to inosine (A-to-I) RNA editing during CML progression concentrated within primate specific Alu-containing transcripts. However, detection of RNA editing by RNA-Seq in rare cell populations can be technically challenging, costly and requires PCR validation. Thus, the objectives of this study were to validate RNA editing of a subset of these LSC-associated transcripts in the context of lentivirally enforced ADAR1 expression, and to develop an RNA editing reporter reporter assay in human leukemia cells and a qPCR-based diagnostic test to rapidly detect CSC-associated aberrant RNA editing. Methods The BCR-ABL+ human leukemia cell line K562 was stably transduced with lentiviral human ADAR1 or vector. FACS-purified K562-ADAR1 cells were transfected with a luciferase-based reporter vector to confirm RNA editing activity. Two genes, MDM2 and APOBEC3D, were selected from our previous RNA-Seq studies of BC progenitors (Jiang et al, 2013). Targeted sequencing was performed on high fidelity PCR products using primers flanking each of 2 editing sites in each gene. RNA editing-specific qPCR primers were designed for each editing site using an allele-specific strategy that detects cDNA containing either an A or G(I) representing an RNA editing event. Both targeted sequencing and qPCR were used to detect RNA editing in K562-ADAR1 and primary cord blood-derived hematopoietic stem cells (HSC) lentivirally transduced with ADAR1. Results Lentivirally enforced ADAR1 expression promoted RNA editing activity as measured by luciferase reporter activity. Increased A-to-I changes in MDM2 and APOBEC3D were confirmed by targeted sequencing. In independent experiments, RNA editing site-specific qRT-PCR accurately detected RNA editing in K562-ADAR1 cells (n=3) and in primary HSC overexpressing ADAR1 (n=4). Site-specific primers distinguished G(I) bases at RNA editing sites in cDNA and as predicted gave no signal in gDNA. Relative A-to-I RNA editing ratios were increased by 2 to 3 fold in ADAR1-expressing cells at all four sites. Conclusions These results set the stage for development of primate-specific RNA editing as a novel diagnostic strategy for clinical LSC detection and identify ADAR1 as a potential therapeutic target in LSC. These data shed new light on the mechanisms of ADAR1-mediated generation of malignant progenitors that drive therapeutic resistance, disease progression and relapse in CML and may be applicable to other CSC-driven malignancies. Citation Format: Leslie A. Crews, Qingfei Jiang, Maria A. Zipeto, Angela C. Court, Christian L. Barrett, Marco A. Marra, Kelly A. Frazer, Catriona H. M. Jamieson. A novel diagnostic assay for detection of primate-specific RNA editing events in leukemia stem cells. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 375. doi:10.1158/1538-7445.AM2014-375

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How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.003

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 head0.045
GPT teacher head0.349
Teacher spread0.304 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2014
Admission routes1
Has abstractyes

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