MétaCan
Menu
← Back to cohort
Record W3154898887 · doi:10.1139/bcb-2020-0651

Substitution of histone H3 arginine 72 to alanine leads to the deregulation of isoleucine biosynthesis in the budding yeast <i>Saccharomyces cerevisiae</i>

2021· article· en· W3154898887 on OpenAlexvenueno aff
Pilendra Kumar Thakre, Rakesh Kumar Sahu, Raghuvir Singh Tomar

Bibliographic record

VenueBiochemistry and Cell Biology · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicFungal and yeast genetics research
Canadian institutionsnot available
Fundersnot available
KeywordsBiochemistryIsoleucineSaccharomyces cerevisiaeBiologyHistoneAlanineAmino acid synthesisBiosynthesisArginineSerineYeastLeucineAmino acidLysineEnzymeGene

Abstract

fetched live from OpenAlex

Histone residues play an essential role in the regulation of various biological processes. In the present study, we utilized the H3/H4 histone mutant library to probe the functional aspects of histone residues in amino acid biosynthesis. We found that the histone residue H3R72 plays a crucial role in the regulation of isoleucine biosynthesis. Substitution of the arginine residue (H3R72) of histone H3 to alanine (H3R72A) renders yeast cells unable to grow in minimal medium. Histone mutant H3R72A requires external supplementation of either isoleucine, serine, or threonine for growth in minimal medium. We also observed that the H3R72 residue and leucine amino acid in synthetic complete medium might play a crucial role in determining the intake of isoleucine and threonine in yeast. Furthermore, gene deletion analysis of ILV1 and CHA1 in the H3R72A mutant confirmed that isoleucine is the sole requirement for growth in minimal medium. Altogether, we have identified that histone H3R72 residue may be crucial for yeast growth in minimal medium by regulating isoleucine biosynthesis through the Ilv1 enzyme in the budding yeast Saccharomyces cerevisiae.

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 score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.012
GPT teacher head0.278
Teacher spread0.266 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBiochemistry and Cell Biology→Same topicFungal and yeast genetics research→French-language works237,207→