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Record W2022428094 · doi:10.1139/b05-141

microRNAs in seeds: modified detection techniques and potential applications

2006· article· en· W2022428094 on OpenAlexvenueno aff
Ruth C. Martin, Po‐Pu Liu, Hiroyuki Nonogaki

Bibliographic record

VenueCanadian Journal of Botany · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsnot available
FundersBadan Riset dan Inovasi Nasional
KeywordsmicroRNABiologyGene expressionComputational biologyGeneRegulation of gene expressionGene expression profilingGerminationSmall RNAPlant developmentCell biologyGeneticsBotany

Abstract

fetched live from OpenAlex

microRNAs (miRNAs) are small (21–24 nucleotides), single-stranded RNAs that regulate target gene expression at transcriptional and posttranscriptional levels. miRNAs play crucial roles in plant development, maintenance of homeostasis, and responses to environmental signals. miRNAs and their target genes, which can be computationally predicted in plants, are expressed in developing and germinating seeds as in other plant tissues, suggesting that miRNAs may be involved in the regulation of gene expression in seeds. Profiling multiple miRNAs expressed in developing and germinating seeds, characterizing their expression patterns in a spatio-temporal manner, and elucidating their biological functions will provide information essential for understanding the mechanisms of seed development and germination. In this review, an overview of the recent technical advances in seed miRNA research and their potential applications for plant, specifically seed, research are presented.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.002
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.002

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 head0.197
Teacher spread0.190 · 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

Citations21
Published2006
Admission routes1
Has abstractyes

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Same venueCanadian Journal of BotanySame topicPlant Molecular Biology ResearchFrench-language works237,207