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Record W2098682177 · doi:10.5376/lgg.2011.02.0001

Isotypes of 78 kD Streptavidin Biotin-binding Proteins (SBP) during Initial Germination of Dark-grown Pea (<i>Pisum sativum</i> L.) Seedlings

2011· article· en· W2098682177 on OpenAlexvenueno aff
Moustafa Mahmoud

Bibliographic record

VenueLegume Genomics and Genetics · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBiotin and Related Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPisumSativumGerminationPiBiotinStreptavidinBiologyIsoelectric pointEmbryoMolecular biologyBotanyHorticultureBiochemistryEnzymeGenetics

Abstract

fetched live from OpenAlex

In this study two dimensional page and western blotting have been used to investigate the status of isotypes of 78 kD streptavidin biotin-binding proteins (SBP) in dry seeds, germinated seeds and a combination with its different plant parts including stems, plumules and roots of pea ( Pisum sativum L. var Alaska). Dry seeds contain 21 isotypes, five of them are almost separated with isoelectric point (PI) 5.66, 5.82, 5.88, 5.91 and 6.55, and four of them are partially separated with pI values 5.92, 5.94, 5.96 and 5.98, the remaining forming unseparated isotypes mixture with pI values varied from 5.07 to 6.50. Embryos of forty hours germinated pea seeds showed 9 different biotin isotypes with pI values from 5.76 to 6.64. Stems parts of seventy two hours germinated pea seeds showed highest expressed 11 biotin isotypes with pI values from 5.60 to 6.65, whereas the plumules parts showed 10 isotypes with pI values from 5.78 to 6.46. And the root parts showed 5 separated isotypes with PI values from 5.72 to 6.00 and unseparated isotypes mixture with a pI values ranged from 6.27 to 6.67. These results suggest that the isotypes of 78 kD streptavidin biotin-binding proteins in dormant and germinating pea seeds might play a role in embryo longevity and early seed germination.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.012
GPT teacher head0.222
Teacher spread0.211 · 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 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
Published2011
Admission routes1
Has abstractyes

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