NACA (Nascent-Polypeptide-Associated Complex α Subunit) Against Apoptosis in B Lymphoma Cell is Independent of β Subunit (NACB)
Bibliographic record
Abstract
We found depletion of NACA in two kinds of B lymphoma cell lines, Raji and Kapas, were able to induce apoptosis in this study. We also explored whether depletion of Z² subunit had the same effect, and we were interested in which domain of NACA was potentially responsible to this anti-apoptosis function. Lentivirus-based shRNA was used to deplete endogenous NACA or NACB. Those cells viabilities were measured by Alamar-blueTM assay. Cell apoptosis was identified by molecular markers caspase9 and PARP, as well as cellular markers Annexin V and propidium iodide (PI) staining. NACA mutants were constructed by PCR site-directed mutagenesis and delivered into cells by Lentivirus. Immunofluoresce was used to investigate cellular distribution in 293FT cells. Our results demonstrated that the depletion of NACA, but not NACB, was able to induce apoptosis. Deletion of middle or C-term rather than N-term induced obvious apoptosis. The middle part of NACA was response to bind NACB and form a complex. Without middle part, NACA redistributed into nuclei. We conclude NACA against apoptosis is independent of Z² subunit. C-term of NACA, which is identified as ubiquitin binding domain, and may take important role in anti-apoptosis function.
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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 | 0.002 | 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".