Additional file 1 of STAU2 protein level is controlled by caspases and the CHK1 pathway and regulates cell cycle progression in the non-transformed hTERT-RPE1 cells
Bibliographic record
Abstract
Additional file 1: Figure S1. Knockout of STAU2 in the nontransformed hTERT-RPE1 cell line by the CRISPR/Cas9 technique. (A) Schematic representation of the STAU2 gene. Exons are indicated as well as the differential splicing of exon 5 and the differential choice of stop codons that contribute to the expression of several protein isoforms. The 3’end sequence of STAU2 exon 6 of the human genome (WT) is shown. The target sequence of the RNA guide used for CRISPR gene editing is underlined. The sequences of two different CRISPR/Cas9-derived STAU2-KO clones are shown below. Dashed lines indicate deleted nucleotides; the premature stop codons are indicated. (B) hTERT-RPE1 cells were transfected with plasmids expressing a Cas9/sgRNA complex targeting exon 6 of the STAU2 gene. Colonies grown from single cells were screened for STAU2 protein expression by dot blotting. (C) Four different STAU2-KO clones and one CRISPR-derived clones that express STAU2 (I2) were analyzed by RT-qPCR for STAU2 expression. The ratio of STAU2 mRNAs on actin mRNA in CRISPR-control cells (I2) cells was arbitrary fixed to 1. The graph represents the means and standard deviation of three independently performed experiments. *** p-value ≤0.001; ** p-value ≤0.01. One sample t-test. Note that clones A4, B5 and C6 were originally named F3, F4 and G4, respectively.
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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 | 0.001 | 0.015 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.862 | 0.205 |
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".