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Record W2587525150 · doi:10.1182/blood.v106.11.386.386

Characterization of siRNA-Mediated SBDS-Knockdown Cells: Specific Hypersensitivity to Fas Stimulation.

2005· article· en· W2587525150 on OpenAlexaff
Kenichiro Watanabe, Yigal Dror

Bibliographic record

VenueBlood · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBlood disorders and treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsGene knockdownBiologyMolecular biologyPropidium iodideCancer researchTransfectionApoptosisCell cultureProgrammed cell death

Abstract

fetched live from OpenAlex

Abstract Shwachman-Diamond syndrome (SDS) is an autosomal recessive disorder characterized by bone marrow failure, pancreatic insufficiency, and a marked propensity for myelodysplastic syndrome and leukemia. Approximately 90% of the patients have mutations in the SBDS gene. Recent studies suggested a role of the yeast SBDS homologue, YLR022C, in RNA processing and ribosomal biogenesis. However, the function of the human SBDS has not been clarified yet. We previously showed that marrow cells from SDS patients are characterized by accelerated apoptosis, overexpression of Fas and hypersensitivity to Fas stimulation. To study the function of SBDS and determine whether the above abnormalities are caused by deficiency of SBDS, we established stably transfected Hela cell lines expressing two different siRNAs against SBDS and lines expressing scrambled siRNA control. SBDS-knockdown was confirmed by Western blotting using polyclonal chicken anti-human SBDS antibody. The SBDS expression in the scrambled siRNA control cells was comparable to that of wild-type Hela cells. DNA content analysis by propidium iodide staining showed a prominent increase in sub-G1 population in asynchronous, non-treated SBDS-knockdown cells, suggesting that these cells are prone to cell death, however, no cell cycle arrest was noted. To further characterize the SBDS-knockdown cells, we examined their sensitivity to four groups of cell death inducers: DNA damaging agents (etoposide, cisplatin, and doxorubicin), transcriptional inhibitors (actinomycin D and α-amanitin), translation blocker (cycloheximide), and Fas pathway activator (agonistic anti-Fas antibody CH-11). Dose-response curves were obtained by MTT assay performed 48 hrs after treatment of the cells with the reagents. Interestingly, SBDS-deleted cells showed marked hypersensitivity to CH-11; while 3 μ g/ml of CH-11 reduced the survival fraction to 50% in wild-type and control cells, a similar effect was obtained at 0.02 μ g/ml in the SBDS-deleted cells. The hypersensitivity to Fas stimulation was also demonstrated by DNA content analysis. Based on the possible role of the yeast SBDS orthologue in RNA metabolism, we anticipated that the SBDS-deficient cells would be hypersensitive to the transcription inhibitors. However, even at concentrations which completely abolished RNA polymerase I or RNA polymerase II activity as determined by BrUTP labeling, the sensitivity of the SBDS-knockdown cells to the transciptional inhibitors was not remarkably different from that of the control or wild type cells. Similarly, the sensitivity to the genotoxic agents and protein synthesis blocker was not obviously different between the SBDS-deficient and proficient cells. To study the mechanism for Fas hypersensitivity, we analyzed Fas expression by flow cytometry using Cy5-conjugated anti-CD95 antibody and found overexpression of Fas in the SBDS-deleted cells in comparison with the Fas expression in the wild-type and control cells. Although further investigation is needed, these results suggest that the SBDS protein might be involved in cell death pathway, especially in the regulation of Fas-mediated apoptosis. The siRNA-mediated SBDS knock-down Hela cells duplicate important features of SDS cells, and may serve as a useful model to investigate the function of the human SBDS protein.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.002

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.

Opus teacher head0.007
GPT teacher head0.207
Teacher spread0.199 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2005
Admission routes1
Has abstractyes

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