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Record W2892268562 · doi:10.1002/dta.2500

Updated protocols for the detection of Sotatercept and Luspatercept in human serum

2018· article· en· W2892268562 on OpenAlexfundno aff
Christian Reichel, Günter Gmeiner, Katja Walpurgis, Mario Thevis

Bibliographic record

VenueDrug Testing and Analysis · 2018
Typearticle
Languageen
FieldMedicine
TopicBlood groups and transfusion
Canadian institutionsnot available
FundersWorld Anti-Doping Agency
KeywordsBiotinylationAntibodyImmunoprecipitationAgarosePrimary and secondary antibodiesChemistryBlotChromatographyStreptavidinMolecular biologyComputer scienceBiochemistryBiotinImmunologyMedicineBiology

Abstract

fetched live from OpenAlex

We recently published two protocols for the detection of Sotatercept (ACE-011, ACVR2A-Fc) and Luspatercept (ACE-536, ACVR2B-Fc) in human serum. Both methods used covalently immobilized antibodies on agarose beads for immunoprecipitation and SAR-PAGE/Western blotting for detection. Disadvantages were the relatively high amount of antibody required per sample (10 μg) and the need of a secondary antibody for the final detection. The updated protocols overcome these limitations by antigen-antibody complex formation in solution followed by capture of the complex with anti-antibody-coated magnetic beads. They also omit the secondary antibody incubation step by usage of biotinylated primary antibodies, which can be directly incubated with streptavidin-HRP. Thus, the new protocols are faster, simpler, and cheaper and offer comparable sensitivities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.142
Threshold uncertainty score0.173

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 head0.027
GPT teacher head0.304
Teacher spread0.277 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations13
Published2018
Admission routes1
Has abstractyes

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