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Record W4248489619 · doi:10.1002/0471140864.ps2119s49

The CLIP‐CHIP Oligonucleotide Microarray: Dedicated Array for Analysis of All Protease, Nonproteolytic Homolog, and Inhibitor Gene Transcripts in Human and Mouse

2007· article· en· W4248489619 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCurrent Protocols in Protein Science · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGene expression and cancer classification
Canadian institutionsUniversity of British Columbia
FundersCanadian Breast Cancer Research AllianceCanada Research ChairsBreast Cancer Alliance
KeywordsDNA microarrayGeneOligonucleotideMicroarrayBiologyMolecular biologyProteaseComputational biologyCell biologyGene expressionGeneticsEnzymeBiochemistry

Abstract

fetched live from OpenAlex

The CLIP-CHIP oligonucleotide microarray allows the analysis of mRNA transcript levels in a tissue sample for all proteases, nonproteolytic homologs, and protease inhibitors of the human and mouse genome. In the protocol presented in this unit, total RNA is extracted from a tissue, and the resulting mRNA is reverse transcribed into cDNA and dsDNA and then amplified in an in vitro transcription reaction. The amplified antisense RNA is labeled with a fluorescent dye and hybridized to the CLIP-CHIP, which contains unique oligonucleotides that are specifically designed for the protease, nonproteolytic homologs, protease inhibitors, and control samples. After hybridization, the fluorescence intensity of each spot is measured, thus identifying mRNA transcripts that are expressed and allowing basic quantification of expressed transcripts.

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.

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)0.002
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.490

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.040
GPT teacher head0.367
Teacher spread0.327 · 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