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Record W4393166698 · doi:10.1016/j.jbc.2024.106176

Abstract 1572 BIOCHEMICAL STUDY OF MUTANTS OF HUMAN ARGINASE I, CAUSING ARGININEMIA

2024· article· en· W4393166698 on OpenAlexaboutno aff
Sara T. Méndez, Horacio Reyes, Angelica Torres, Alejandra Sánchez

Bibliographic record

VenueJournal of Biological Chemistry · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEndoplasmic Reticulum Stress and Disease
Canadian institutionsnot available
Fundersnot available
KeywordsArginaseMutantChemistryBiochemistryArginineGeneAmino acid

Abstract

fetched live from OpenAlex

Background: Human arginase is a trimeric metalloprotein of 322 amino acids per monomer that catalyzes the hydrolysis of arginine to ornithine and urea in the last step of the urea cycle. The gene that encodes hepatic arginase (ARG1), located at locus 6q23 in humans, covers 11 kb including 8 exons and 7 introns , with a transcript of 1,393 bp. Another isoform has been described, a mitochondrial ARG2 encoded by another gene and which shares 60% homology and whose gene product has been found in tissues such as kidney, small intestine and brain, whose function is not completely known. Mutations in the ARG1 gene cause an autonomic recessive disorder called argininemia. The clinical manifestations of this condition range from mental and developmental delay, seizures, spastic tetraplegia and present since childhood, some in mild form and others more severe, but clearly there is no correlation between genotype and phenotype because the variation in clinical severity cannot be explained by differences in the nature of the mutations. Around 70 mutations have been described throughout this gene related to this condition, the most frequent being the so-called nonsense mutations, followed by premature arrest (nonsense), splicing, deletions, insertions and duplications mutations. Arginase deficiency is pan-ethnic and has been reported with an incidence ranging from 1:350,000 to 1:2,000,000 births in Japanese, French-Canadian and American populations. However, in the Mexican population there are only 2 reports describing mutations in patients with argininemia and the incidence of the disease is unknown. Interestingly, residue H141 is found in a highly conserved region across the phylogenetic scale, including arginase from organisms such as non-mammalian vertebrates, invertebrates, yeasts, and bacteria. On the other hand, the T134I mutation, present in the Brazilian population, has a high prevalence and in a report in patients with argininemia this mutation was found in homozygous form in 43% of the patients analyzed; However, the in silico study they did does not show that this mutation destabilizes the structure of the protein. Although only a small fraction of mutations in the ARG1 gene have been studied systematically, biochemically and enzymatically, the vast majority have been predicted in in silico studies of the impact of the mutation on the protein. Methodology: Cloning of the human ARG gene in an overexpression vector. For mutant proteins, site-directed mutagenesis will be performed. Once all the proteins have been obtained, they will be characterized and compared biochemically and structurally. Results. Both mutant proteins present kinetic differences with respect to the native one, which indicates that the change in the aforementioned residues indirectly impacts the activity of the enzyme.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.021
GPT teacher head0.302
Teacher spread0.281 · 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
Published2024
Admission routes1
Has abstractyes

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