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Identification of genes responsive to BPDE treatment in HeLa cells using cDNA expression assays

2000· article· en· W2086224071 on OpenAlexaff
Zhe Yu, B. Ford, Barry W. Glickman

Bibliographic record

VenueEnvironmental and Molecular Mutagenesis · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Interference and Gene Delivery
Canadian institutionsUniversity of Victoria
FundersNational Cancer Institute
KeywordsMolecular biologyGeneBiologyComplementary DNAHeat shock proteinGene expressionHeLaDifferential displayRibosomal proteinHsp70Zinc fingerRegulation of gene expressionTranscription factorBiochemistryRNACellRibosome

Abstract

fetched live from OpenAlex

Genotoxic stresses induce cellular responses that can be observed at the level of gene expression. We have studied changes in gene expression following BPDE exposure in HeLa cells by using a cDNA expression array of 597 human genes. After a 53-hr exposure to 0.4 microM BPDE, nine genes were upregulated. The protein products of these genes are: fos-related antigen 2, apoptotic cysteine protease MCH4, DB1 (zinc finger protein 91), transcription factor ETR103, integrin alpha, interleukin-4, interleukin-6, 23-kDa highly basic protein, and ribosomal protein S9. We observed the downregulation of gene expression of three genes: heat-shock protein 27, DNA-binding protein TAX, and NADH-ubiquinone oxidoreductase B18 subunit. These results suggest unknown functions or regulatory circuits for several of the responsive genes and demonstrate the complexity of cellular responses to genotoxic insults.

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)0.000
metaresearch head score (Gemma)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.225
Teacher spread0.218 · 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
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

Citations21
Published2000
Admission routes1
Has abstractyes

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