Detection of BAALC in patients with acute myeloid leukemia by real-time reverse transcriptase-polymerase chain reaction
Bibliographic record
Abstract
Objective:To detect the mRNA expression of brain and acute leukemia,cytoplasmic(BAALC) in perpheral blood mononuclear cells(PBMC),BAALC of patients with acute myeloid leukemia(AML) by comparative real-time reverse transcriptase-polymerase chain reaction(RQ-PCR) with SYBR Green.Methods:PBMC was obtained from 12 patients with AML and 5 healthy donors,from which total RNA was extracted and reverse transcribed into cDNA.The leukemia cell lines K562 cells was selected as positive control.The expression of BAALC was detected by RQ-PCR with SYBR Green assay.Results:The BAALC mRNA could not be detected in PBMC of healthy donors.However,in 12 patients with AML,it was highly expressed in 8 of them.The relative values were 0.8-5.6 compared with K562 cells.Conclusions:The expression of BAALC in PBMC of patients with AML could be detected by SYBR Green comparative RQ-PCR.It was a steady,sensitive and reliable assay method.
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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 | 0.001 |
| 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) | 0.002 | 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".