Microarray analysis of polychlorinated biphenyl mixture–induced changes in gene expression among Atlantic tomcod populations displaying differential sensitivity to halogenated aromatic hydrocarbons
Bibliographic record
Abstract
Several populations of fishes inhabiting contaminated Atlantic Coast estuaries exhibit resistance to early life-stage (ELS) toxicities induced by halogenated aromatic hydrocarbons such as coplanar polychlorinated biphenyls (PCBs). These toxicities include mortality, circulatory failure, edema, and craniofacial malformations. The mechanisms behind resistance to halogenated aromatic hydrocarbon toxicity in these populations are unknown. First and second generation Atlantic tomcod Microgadus tomcod embryos derived from the Hudson River ([HR]; New York, USA) population are highly resistant to PCB-induced cytochrome P4501A (CYP1A) expression and ELS toxicity when compared to embryos of Miramichi River ([MR]; New Brunswick, Canada) and Shinnecock Bay ([SB]; New York, USA) origin. The present study sought to identify novel genes involved in population differences in response to PCB exposure using custom microarrays. Microarray probes consisted of unsequenced inserts of randomly picked clones from a tomcod cardiac cDNA library. Tomcod embryos from three populations (HR, MR, and SB) were exposed to two doses of an environmentally relevant mixture of coplanar PCBs and screened for dose- and population-specific patterns of gene expression. Clones displaying significant differences between populations exposed to the high dose of PCBs were identified by DNA sequencing. Of the 28 identified nonribosomal protein clones, none displayed expression patterns highly similar to CYP1A (altered in MR and SB, but not in HR). However, several transcripts representing biomarkers of cardiomyopathy in mammals (cardiac troponin T2, cathepsin L, and atrial natriuretic peptide) were differentially altered among the three tomcod populations by PCBs. Although the present study did not identify any novel genes associated with PCB resistance in tomcod, several potential molecular biomarkers of PCB exposure were revealed.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".