Size-selection of cDNA libraries for the cloning of cDNAs after suppression subtractive hybridization
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Bibliographic record
Abstract
Here we describe the establishment of size-selected cDNA libraries for the cloning of full-length cDNAs that were initially identified by suppression subtractive hybridization (SSH) technology as being differentially expressed. First, the SSH-cDNA fragments were used as 32P-probes to verify their level and differential pattern of expression by virtual Northern and to establish their corresponding full-length cDNA size. Second, cDNAs were separated by size on agarose gels and used to construct size-selected cDNA plasmid libraries, which were then screened by colony hybridization with the SSH-cDNA fragments. We conclude that the described approach complements SSH technology by allowing efficient cloning and characterization of the corresponding full-length cDNA from any desired cell type or species. This approach will give researchers the ability to specifically target and study differentially expressed genes in an efficient manner for functional genomic studies.
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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 it