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Record W2180026482 · doi:10.1080/15476286.2015.1094602

Splicing diversity revealed by reduced spliceosomes in <i>C. merolae</i> and other organisms

2015· review· en· W2180026482 on OpenAlexaff
Andrew J. Hudson, Martha R. Stark, Naomi M. Fast, Anthony G. Russell, Stephen D. Rader

Bibliographic record

VenueRNA Biology · 2015
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of British ColumbiaUniversity of Northern British ColumbiaUniversity of Lethbridge
Fundersnot available
KeywordsSpliceosomeRNA splicingBiologyIntronGeneticssnRNPEvolutionary biologyMinor spliceosomeSmall nuclear RNAComputational biologyRNAGeneNon-coding RNA

Abstract

fetched live from OpenAlex

Pre-mRNA splicing has been considered one of the hallmarks of eukaryotes, yet its diversity is astonishing: the number of substrate introns for splicing ranges from hundreds of thousands in humans to a mere handful in certain parasites. The catalytic machinery that carries out splicing, the spliceosome, is similarly diverse, with over 300 associated proteins in humans to a few tens in other organisms. In this Point of View, we discuss recent work characterizing the reduced spliceosome of the acidophilic red alga Cyanidioschyzon merolae, which further highlights the diversity of splicing in that it does not possess the U1 snRNP that is characteristically responsible for 5' splice site recognition. Comparisons to other organisms with reduced spliceosomes, such as microsporidia, trypanosomes, and Giardia, help to identify the most highly conserved splicing factors, pointing to the essential core of this complex machine. These observations argue for increased exploration of important biochemical processes through study of a wider ranger of organisms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.982
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0010.000
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 head0.041
GPT teacher head0.338
Teacher spread0.297 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations31
Published2015
Admission routes1
Has abstractyes

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