Screening and identification of the differentially expressed genes in lymphocytes of patients with unstable angina
Bibliographic record
Abstract
Objective To screen and identify the differential expressed genes in lymphocytes from patients with unstable angina, in order to explore the developing mechanism of unstable angina at the molecular level, and to get some clues for diagnoses and potential gene treatment. Methods Suppression subtractive hybridizations (SSH) were performed to screen the differentially expressed genes in lymphocyte RNA between the patients with unstable angina and stable angina. The obtained forward and reverse cDNA fragments were directly inserted into pGEM T Easy vector and transformed into E.coli 109; clones with inserted fragment were screened with blue and white screening and colony PCR. The obtained colony PCR products were spotted at the same position on the Hybond N+ membrane and performed dot blot hybridized with forward and reverse suppression products to further screen the differentially expressed genes. The obtained Expressed Sequence Tags (ESTs) were used as probes to perform Reverse Northern blot with forward and reverse suppression products. The obtained positive ESTs were sequenced and analyzed using BLAST (nr) at NCBI. Results The result of dot blot hybridization showed that 93 positive clones were obtained in unstable angina group; 112 positive clones were obtained in stable angina group. Reverse Northern blot hybridization showed that 12 positive ESTs were obtained in unstable angina group; 20 positive ESTs were obtained in stable angina group.5 positive ESTs in each group were randomly selected to be sequenced and analyzed using BLAST (nr) at NCBI, all of them are sequences of known genes. Conclusion All these ESTs were associated with the occurring and development of unstable angina.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".