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A guide to selecting high-performing antibodies for TAF15 (UniProt ID: Q92804) for use in western blot, immunoprecipitation, and immunofluorescence

2025· preprint· en· W4406097056 on OpenAlexafffund
Vera Ruíz Moleón, Charles Alende, Maryam Fotouhi, Riham Ayoubi, Carl Laflamme

Bibliographic record

VenueF1000Research · 2025
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicSignaling Pathways in Disease
Canadian institutionsMcGill UniversityMontreal Neurological Institute and Hospital
FundersGenentechMitacsMotor Neurone Disease AssociationGovernment of CanadaEuropean Federation of Pharmaceutical Industries and AssociationsMerck KGaAOntario Genomics InstituteGénome QuébecBayerALS Society of CanadaOntario GenomicsGenome CanadaBristol-Myers SquibbPfizerALS Association
KeywordsImmunoprecipitationWestern blotUniProtImmunofluorescenceOpen peer reviewPlant biologyAntibodyBiologyComputational biologyBlotMedicineImmunologyGeneticsGeneBotany

Abstract

fetched live from OpenAlex

TAF15 (TATA-box binding protein-associated factor 15) is a member of the FET protein family, known for their roles in transcriptional regulation and RNA metabolism. Here we have characterized five TAF15 commercial antibodies for western blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. These studies are part of a larger, collaborative initiative seeking to address antibody reproducibility issues by characterizing commercially available antibodies for human proteins and publishing the results openly as a resource for the scientific community. While use of antibodies and protocols vary between laboratories, we encourage readers to use this report as a guide to select the most appropriate antibodies for their specific needs.

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)0.006
metaresearch head score (Gemma)0.010
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: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.154
Threshold uncertainty score0.516

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.010
Meta-epidemiology (narrow)0.0040.005
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0070.004
Science and technology studies0.0020.001
Scholarly communication0.0030.002
Open science0.0050.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.1540.243

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 head0.038
GPT teacher head0.374
Teacher spread0.336 · 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
GenreMethods

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
Published2025
Admission routes2
Has abstractyes

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