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Modular organization and conformational variability of the yeast SAGA complex (LB187)

2014· article· en· W1551643594 on OpenAlexaff
Dheva Setiaputra, James D. Ross, Calvin K. Yip

Bibliographic record

VenueThe FASEB Journal · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHistone acetyltransferaseProtein subunitAcetylationAcetyltransferaseYeastHistoneCell biologyChemistryTranscription (linguistics)Computational biologyBiologyBiochemistryDNAGenePhilosophy

Abstract

fetched live from OpenAlex

Spt‐Ada‐Gcn5‐Acetyltransferase (SAGA) is a conserved histone acetyltransferase complex that regulates transcription through acetylation and deubiquitination of nucleosomal histones. The 19 subunits constituting SAGA are thought to organize into four modules. To further elucidate the relationship between these modules, we developed an improved purification method that enhances the stability of SAGA and used single‐particle electron microscopy to examine the overall architecture and organization of this complex. Our two‐ and three‐dimensional analyses revealed that SAGA is flexible and adopts three major conformations involving large‐scale rearrangements of its subunits. Subunit deletion and labeling showed that the acetyltransferase module is located in the most mobile region of the complex, and that the loss of the deubiquitination module reduces SAGA’s ability to adopt one specific conformation. These results lead to a working model in which the different modules of SAGA coordinate to mediate structural remodeling, which in turn accommodates binding of various substrates and transcriptional activators.

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 score0.003

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.006
GPT teacher head0.189
Teacher spread0.183 · 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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