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A general method for the rapid characterization of tyrosine-phosphorylated proteins by mini two-dimensional gel electrophoresis

2000· article· en· W1974515524 on OpenAlexaff
Axel Ducret, Caroline Desponts, Sylvie Desmarais, Michael J. Gresser, Chidambaram Ramachandran

Bibliographic record

VenueElectrophoresis · 2000
Typearticle
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsMerck Canada Inc. (Canada)
Fundersnot available
KeywordsGel electrophoresisChromatographyElectroblottingImmunostainingPolyacrylamide gel electrophoresisChemistryStainingPhosphorylationMembraneMolecular biologyBiochemistryNitrocelluloseBiologyEnzymeImmunohistochemistry

Abstract

fetched live from OpenAlex

Our preliminary results are reported in the investigation of the tyrosine phosphorylation cascade triggered by the stimulation of the insulin receptor in the adipocyte cell line 3T3-L1 using a mini two-dimensional gel electrophoresis approach. The minigel format, 8 x 10 cm, was found sufficiently resolving and reproducible to study complex biological samples while considerably increasing throughput and lowering costs compared to larger gel formats. Consequently, we used the minigel format to rapidly screen a large number of samples, of which only the most relevant were then analyzed by optimized, preparative two-dimensional gels. The accurate localization and relative quantification of tyrosine-phosphorylated proteins was performed using a nonradioactive triple labeling method. After transfer onto polyvinylidene difluoride (PVDF) membranes, proteins were stained with Sypro Ruby to verify the separation quality and to localize the general region of interest for immunostaining. The membranes were subsequently blocked with polyvinylpyrrolidone-40 and probed with the relevant antibodies for visualization of the phosphorylated proteins by chemiluminescence. Finally, membranes were stained with colloidal gold to obtain a pattern reminiscent of the silver staining of a polyacrylamide gel. We believe that the presented strategy can be generalized for any gel application in which a protein has to be detected and identified based on its immunoreactivity.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.423
Threshold uncertainty score0.999

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)0.0020.000

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 head0.256
Teacher spread0.250 · 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

Citations15
Published2000
Admission routes1
Has abstractyes

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