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Differential Expression of Mirna* Species in Cancer and the Contribution of MiR-223* to the Development of Acute Myeloid Leukemia.

2009· article· en· W2566693412 on OpenAlexaff
Florian Kuchenbauer, Sarah M Mah, Andrew McPherson, Michael Heuser, Bob Argiropolous, Ryan D. Morin, Tobias Berg, David Lai, Andrew Muranyi, Donna E. Hogge, Jens Rüschmann, Daniel T. Starczynowski, Aly Karsan, Michael O’Connor, Connie J. Eaves, Akira Watahiki, Yuzhuo Wang, Samuel Aparício, Arnold Ganser, Juergen Krauter, Jonathan J. Johnnidis, Marco A. Marra, Fernando Carmago, R. Keith Humphries

Bibliographic record

VenueBlood · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversity of British ColumbiaGenome British ColumbiaBC Cancer AgencyTerry Fox Research Institute
Fundersnot available
KeywordsmicroRNAMiRBaseBiologyDuplex (building)Myeloid leukemiaComputational biologyGeneticsCancer researchGeneDNA

Abstract

fetched live from OpenAlex

Abstract Abstract 2960 Poster Board II-936 Processing of the pre-miRNA through Dicer1 generates a miRNA duplex, consisting of a miRNA and miRNA* strand. While the functional roles of miRNAs are now well established, the potential roles of miRNA* species remain unclear. However, recent evidence suggests that the star strand of some miRNAs can be abundant and enter the RISC complex. Since the abundance of miRNA*s has not been comprehensively assessed in mammals and we took advantage of 10 deep sequencing libraries from a variety of human and murine cells to determine the most abundant complementary strand for non-annotated miRNA*s. We then calculated the ratio of miRNA/miRNA* for each miRNA duplex. In contrast to previous assumptions that one strand is highly dominant, we found that approximately 50% of the investigated miRNA duplexes exhibit high ratios with a dominating strand (ratio >100), 20% have intermediate ratios (ratio between 100-10) and a remarkable 10% show low ratios (ratio <10), indicating comparable expression of both strands. In addition, we found that ∼10% of all miRNA/miRNA* duplexes display inverse ratios (ratio<1), indicating incorrect annotation in miRBase. Comparing miRNA/miRNA* ratios across the miRNA sequence libraries revealed that most ratios remain constant across tissues and species. This could possibly allow for a novel classification of miRNAs into a-duplexes, miRNAs duplexes with a dominant strand and b-duplexes with both strands being abundant. However, certain ratios were highly variable across the libraries examined as exemplified for the ratio of miR-223/miR-223* which ranged from 0.11 (317:2684 read counts) to 19.6 (13006:660 read counts) in murine and human leukemia cell lines. Bioinformatics analysis on predicted miR-223* targets showed an enrichment for cancer associated genes (p<0.05), suggesting a tumor suppressor-like role for miR-223. Consistent with this, an analysis of samples from 94 AML patients with normal karyotype revealed an inverse correlation of miR-223* with CD34 expression (p=0.018), a negative prognostic marker in AML. In addition, in vitro experiments with mutated miR-223 and miR-223* constructs revealed regulatory potential for miR-223* in myeloid progenitor cells. Taken together, we propose a new classification for miRNA duplexes and provide evidence for a possible role a miRNA* in the development of acute myeloid leukemia. Disclosures: No relevant conflicts of interest to declare.

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 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)0.000
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.237
Teacher spread0.230 · 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
Published2009
Admission routes1
Has abstractyes

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