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Record W4385264556 · doi:10.1093/nar/gkad619

CSDE1 promotes miR-451 biogenesis

2023· article· en· W4385264556 on OpenAlexafffund
Pavan Kumar Kakumani, Yunkoo Ko, Sushmitha Ramakrishna, Grace A. Christopher, Maria Dodgson, Jatin Shrinet, Louis-Mathieu Harvey, Chanseok Shin, Martin J. Simard

Bibliographic record

VenueNucleic Acids Research · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMicroRNA in disease regulation
Canadian institutionsUniversité LavalHôtel-Dieu de QuébecCentre hospitalier universitaire de QuébecMemorial University of Newfoundland
FundersNatural Sciences and Engineering Research Council of CanadaMinistry of Science and ICT, South KoreaCenter for Studies in Demography and Ecology, University of WashingtonNational Research Foundation of KoreaCanadian Institutes of Health ResearchNational Research Foundation
KeywordsDroshaDicerBiologyBiogenesismicroRNACell biologyRibonuclease IIIRNase PRNA-binding proteinRNAArgonauteMolecular biologyRNA interferenceGeneticsGene

Abstract

fetched live from OpenAlex

MicroRNAs are sequentially processed by RNase III enzymes Drosha and Dicer. miR-451 is a highly conserved miRNA in vertebrates which bypasses Dicer processing and instead relies on AGO2 for its maturation. miR-451 is highly expressed in erythrocytes and regulates the differentiation of erythroblasts into mature red blood cells. However, the mechanistic details underlying miR-451 biogenesis in erythrocytes remains obscure. Here, we report that the RNA binding protein CSDE1 which is required for the development of erythroblasts into erythrocytes, controls the expression of miR-451 in erythroleukemia cells. CSDE1 binds miR-451 and regulates AGO2 processing of pre-miR-451 through its N-terminal domains. CSDE1 further interacts with PARN and promotes the trimming of intermediate miR-451 to the mature length. Together, our results demonstrate that CSDE1 promotes biogenesis of miR-451 in erythroid progenitors.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.047
GPT teacher head0.349
Teacher spread0.302 · 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

Citations14
Published2023
Admission routes2
Has abstractyes

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